The nadir -- The response -- Flexner and the black medical schools -- AMPHS: the founding -- The Heckler report -- Landmark legislation -- Mr. Secretary -- The Office for Minority Health -- The Center for Minority Health and Health Disparities -- A national institute -- The social mission.
This volume presents an interdisciplinary reflection on the SARS-COV-2 pandemic and its consequences elaborated in real-time. It embodies the University of Palermo's values and mission by bringing together academics of very diverse disciplinary fields on an issue that is disrupting all aspects of individual and community existence. This volume captures the voices of academics during the pandemic, allowing to crystallize the discourses that are emerging in a wide variety of scientific fields as events unfold and knowledge is rapidly evolving. They share the belief that to shed adequate light on the complex and multifaceted phenomenon of the COVID-19 pandemic and its consequences necessarily requires the adoption of an interdisciplinary approach, the consideration of a multiplicity of perspectives, and of a variety of levels of analysis. The organization of the single contributions in chapters allows the exchange of different perspectives, whilst conveying a general overall framework to the interpretation of the many facets of the changes and crisis generated by COVID-19. The volume addresses both academics and professionals dealing with the processes and the consequences brought forth by the pandemic and presents a solid example of the commitment an academic institution should devote to society and communities
"Good Intentions in Global Health is an engaging ethnography of the world of DIY global health. It argues that the intent to do good shapes people's everyday understandings of their own actions taken in the global health domain. Berry opens new ways for critical scholarship to impact global health and health equity"--
"The Focus on the upstream drivers of public health is unique among public health books. While recognizing that individual health is substantially influenced by age, gender, genetics, and other personal attributes, as well as by individual lifestyle decisions, social and community networks, the book focuses on broader upstream factors. These include policies and actions influencing design, land use, education, transportation, energy, housing, infrastructure and decisions by government officials at all levels, businesses and more recently, decisions by not-for-profits. Such decisions have consequences that impact the health of us all, as well as that of select (particularly high-risk) individuals. By evaluating New Jersey's progress towards improved population health, From Cancer Clusters and COVID-19 to a Healthier New Jersey notes how progress has been slowed and accelerated by events and policies that are beyond the control of any single individual. For example, it recognizes that the Garden State has been the scene of some terrible health-related events, yet it has also come up with some of the best solutions to public health challenges and important innovations. Finally, it argues that employing Health in All Policies will allow the state to aggressively and fearlessly push down the road toward a healthier New Jersey"--
This book examines the nature, prevention, and treatment of violence within families. It reviews the definition of contemporary families, emphasizing various structures, including nuclear families, reconstituted families, gay and lesbian families, and recent immigrant families. In addition, the volume describes the nature of and risk factors for family violence from the perspectives of both victims (e.g., infants, children, seniors) and perpetrators (e.g., adolescent family members, women). It identifies the implications and explores strategies for prevention, treatment, and services. In addition, the volume directly addresses practice and evidence-based interventions for individual perpetrators, family interventions, interventions for victims and systemwide interventions (e.g., those involving the courts, police, and national policy). Chapters review the best available quality evidence from randomized controlled trials, systematic reviews, meta-analyses, research syntheses, and evidence-based recommendations from expert panels and government agencies. Case studies illustrate the application of evidence-based practice to violence within the family to demonstrate the effectiveness of the intervention. Topics featured in this book include: Definition and conceptualization of family.Definition and measurement of as well as risk factors for family violence.Family violence in various traditional and nontraditional families.Prevention strategies as well as Individual and family treatments for perpetrators and victims of family violence.Social policy and legal interventions for family violence. Violence in Families is a must-have resource for researchers, professors, and graduate students as well as clinicians, therapists, and other professionals in developmental psychology, family studies, forensic psychology, criminology/criminal justice, public health, psychotherapy/counseling, psychiatry, social work, educational policy and politics, health psychology, nursing, and behavioral therapy/rehabilitation
This volume explores methods for studying child maltreatment in the context of neighborhoods and communities, given their importance in the lives of families. It discusses the ways in which neighborhoods have changed over time and how this that has impacted parenting in the modern context. It also highlights the ways in which policies have contributed to persistent poverty and inequality, which indirectly impacts child maltreatment. An important focus of this volume is to examine the multitude of ways in which the neighborhood context affects families, including structural factors like poverty, segregation, residential instability, and process factors like social cohesion. The volume takes a critical look at the ways in which culture and context affect maltreatment through a community-based approach, and uses this approach to understand child maltreatment in rural areas. The editors and contributors explore innovative prevention approaches and reflect on the future of this field in terms of what remains unknown, how the information should be used to guide policy in the future, and how practitioners can best support parents while being mindful of the importance of context. Addressing an important topic, this volume is of relevance and interest to a wide readership of scholars and students in the social and behavioral sciences, as well as to practitioners and policy makers working with neighborhoods and communities
Die Substitution basiert auf dem Gedanken der "harm reduction", der Schadensbegrenzung. Doch auch wenn die Substitutionsbehandlung seit Novellierung der Betäubungsmittelgesetzes 1992 in Deutschland ausdrücklich vom Gesetzgeber anerkannt ist und die WHO Methadon seit 2005 in der Liste der unentbehrlichen Arzneimittel führt, gerät die Substitutionstherapie mit Opiodersatzstoffen zeitweilig immer wieder in die Kritik, nicht so schadensbegrenzend wie erhofft zu sein (Heinemann et al. 2000). Insbesondere die Substitutionssubstanz Methadon steht wegen ihres gehäuften Vorkommens als Todesursache bei Abhängigen und auch Personen in deren näherem Umfeld schon seit einigen Jahren immer wieder unter kritischer Betrachtung (Iwersen-Bergmann et al. 1999). Inzwischen haben die tödlichen Monointoxikationen mit Methadon die Anzahl der Rauschgifttodesfälle überholt, die auf ausschließliche Einnahme von Heroin zurückzuführen sind. In Hamburg sind nach aktuellen Schätzungen etwa 9.300 Menschen abhängig von Opioiden – darunter befinden sich 3.952 Substituierte unter der Aufsicht von 92 Ärzten (Stand Juli 2019). Deutschlandweit betreuen derzeit 2.607 Ärzte 79.700 Substitutionspatienten (Bundesinstitut für Arzneimittel und Medizinprodukte / Substitutionsregister 2020). Die Arbeit befasst sich mit der Frage, ob sich für Substituierte bei der Auswertung der Daten der Hamburger Drogentoten Unterschiede im Vergleich zu Nicht-Substituierten ergeben. Diese Fragestellung bedingt gleichzeitig die Untersuchung der folgenden Sachverhaltszusammenhänge: • wie alt ein Rauschgifttoter heute im Vergleich zu den 1990er Jahren und damit vor Einführung der Substitutionsbehandlung wird, • welche Ursachen zu einem Drogentod führen, • ob es geschlechtsspezifische Unterschiede bei Drogentoten und Substituierten auch bezüglich der Haltequoten der Behandlung gibt, • welche der gelisteten Rauschgiftabhängigen durch eine Monointoxikation mit Methadon und welche durch eine Mischintoxikation, an der Methadon beteiligt oder sogar führend ist, sterben, • ob Rauschgifttote im Zusammenhang mit Methadon zuvor offiziell als Substituierte gelistet waren, • welchen zusätzlichen gesundheitlichen Vorteil Patienten in einem Substitutionsprogramm im Vergleich zu Nicht-Substituierten Haben und • welche akzidentiellen Todesfälle mit Methadon es in den vergangenen Jahren gab. Retrospektiv analysiert wurden 3.003 in Hamburg registrierte Rauschgifttodesfälle – das umfasst die Jahre 1976 bis einschließlich 2016 sowie die Jahre von 1990 und 2016 und damit 2.569 Rauschgifttodesfälle aus der Datenbank des Instituts für Rechtsmedizin in Hamburg. Mittels Unterstützung der Hamburger Kassenärztlichen Vereinigung und durch eine zeitlich limitierte Ausnahmeregelung des Hamburger Datenschutzbeauftragten war es für diese Arbeit zusätzlich möglich, Rauschgifttodesfälle aus den Jahren 2007 bis 2016 genauer auf ihre eventuell vorausgegangene Substitution und die Haltequoten der Therapie zu überprüfen. Über einen Zeitraum von zehn Jahren betrifft das insgesamt 584 gelistete Drogentote, von denen in der Gegenüberstellung im Abstand von fünf Jahren 190 Personen direkt miteinander verglichen werden – darunter 110 ehemalige Substitutionspatienten. Die Ergebnisse der Arbeit zeigen unter anderem folgende Effekte: • Senkung der Mortalitätsrate, • Steigerung des Durchschnittsalters der Drogentoten, • Abnahme der Therapieunterbrechungen unter substituierten Drogentoten sowie • Steigerung des Alters der Substituierten, die an ihren Drogenfolgeerkrankungen versterben. ; The Substitution is based on the idea of "harm-reduction". But although substitution is officially recognized by German law since 1992 and the WHO has had methadone in the list of essential drug therapies, substitution therapy has been repeatedly criticized for not being as harm-limiting as hoped (Heinemann et al. 2000). In particular, the substitution substance methadone has been under critical scrutiny for several years, because of its frequent occurrence as the cause of death in addicts, and also people in their immediate vicinity (Iwersen-Bergmann et al. 1999). Meanwhile, the fatal monointoxications with methadone have overtaken the number of drug deaths that can be traced back to pure heroin. According to current estimates, around 9,300 people in Hamburg are dependent on opioids - 3,952 of them are substituted under the supervision of 92 doctors (Federal Institute for Drugs and Medical Devices / Substitution Register 2020). This evaluation deals with the question of whether there are differences for substituted people in the evaluation of the data on drug deaths in Hamburg compared to non-substituted people: • how old a drug-dead person is today compared to the 1990s and thus before the introduction of substitution treatment, • what causes lead to drug death, • whether there are gender-specific differences in drug-related deaths and those who have been substituted with regard to retention rates for treatment, • which of the listed drug addicts die from monointoxication with methadone and which from mixed intoxication, in which methadone is involved or even leading, • whether drug deaths in connection with methadone were previously officially listed as substitutes, • what additional health benefits do patients in a substitution program have compared to non-substituted people • what accidental deaths from methadone have occurred in recent years. 3003 drug deaths were retrospectively analyzed in Hamburg - this includes the years 1976 up to and including 2016, as well as a more detailed analysis of the years between 1990 and 2016 and thus 2569 drug deaths from the database of the Institute for Forensic Medicine in Hamburg. Thanks to the support of the Hamburg Association of Statutory Health Insurance Physicians and a temporary exception regulation by the Hamburg Data Protection Officer, it was also possible to check drug deaths from 2007 to 2016 more precisely for any previous substitution and the retention rates of the therapy. Over a period of 10 years, this affects a total of 584 listed drug deaths, of which 190 people are compared directly with each other every five years - including 110 former substitution patients. Over a period of 10 years, this affects a total of 584 listed drug deaths, of which 190 people are compared directly with each other every five years - including 110 former substitution patients. The results of the work show, among other things, the following effects: 1. Lowering mortality rates 2. Increase in the average age of drug deaths 3. Decrease in therapy interruptions among substituted drug deaths as well 4. Increase in the age of those substituted who die from drug complications.
"Women from Chuuk, Federated States of Micronesia who migrate to Guam, a U.S. territory, suffer disproportionately poor reproductive health outcomes. Though their access to the United States is uniquely easy, through a unique migration agreement, it keeps them in a perpetual liminal state as nonimmigrants, who never fully belong as part of the U.S. Chuukese families move to Guam in search of a better life: sometimes for jobs, the education system, or to access safe health care. Yet, the imperial system of benign neglect creates underlying conditions that greatly and disproportionately impact their ability to succeed and thrive, negatively impacting their reproductive health. Through clinical and community ethnography, Sarah A. Smith illuminates the way this system stratifies women's reproduction at structural, social, and individual levels. Readers can visualize how U.S. imperialist policies of benign neglect control the body politic, change the social body, and render individual bodies vulnerable in the twenty-first century, but also, how people resist"--
Women came through the doors at a community-based birthing center in the South Bronx seeking prenatal care. They had heard about the center from a neighbor, a parents' group at their children's school, or the local mosque or church. What they found when they arrived was a brightly-colored waiting area that resembled a living room, children immersed in games in a corner, and staff that reflected the mosaic of cultures living in the surrounding apartments. They also met midwives who asked about their lives, their children, their families and traditions. If pregnancies developed complications, back-up obstetricians were there to give higher levels of care, with the women returning to the midwifery center afterwards. The results were healthy mothers and healthy babies. For over twenty years the center became a haven for women's health care and a national exemplar. It is a tragic and unjust paradox that the United States, the highest income country in the world and the country with the largest budget for perinatal care, has rising rates of maternal mortality that disproportionately affect women of color. Yet an inner-city maternity center with midwifery care found solutions to the challenge of making birth safe for low-income populations, especially women of color. This oral history presents the stories of twelve women who participated in this care. As they tell it, the experience changed their lives and their understanding of what safe, quality maternal care can achieve. Jennifer Dohrn examines the systems that perpetuate disparities in care, from global to local, and describes essential components needed for change, using oral histories as evidence for the way forward towards maternal health as a human right
Acknowledgements A full list of acknowledgments appears in the Supplementary Note 4. Co-author A.J.M.d.C. recently passed away while this work was in process. This work was performed under the auspices of the Genetic Investigation of ANthropometric Traits (GIANT) consortium. We acknowledge the Cohorts for Heart and Aging Research in Genomic Epidemiology (CHARGE) Consortium for encouraging CHARGE studies to participate in this effort and for the contributions of CHARGE members to the analyses conducted for this research. Funding for this study was provided by the Aase and Ejner Danielsens Foundation; Academy of Finland (41071, 77299, 102318, 110413, 117787, 121584, 123885, 124243, 124282, 126925, 129378, 134309, 286284); Accare Center for Child and Adolescent Psychiatry; Action on Hearing Loss (G51); Agence Nationale de la 359 Recherche; Agency for Health Care Policy Research (HS06516); ALF/LUA research grant in Gothenburg; ALFEDIAM; ALK-Abelló A/S; Althingi; American Heart Association (13POST16500011); Amgen; Andrea and Charles Bronfman Philanthropies; Ardix Medical; Arthritis Research UK; Association Diabète Risque Vasculaire; Australian National Health and Medical Research Council (241944, 339462, 389875, 389891, 389892, 389927, 389938, 442915, 442981, 496739, 552485, 552498); Avera Institute; Bayer Diagnostics; Becton Dickinson; BHF (RG/14/5/30893); Boston Obesity Nutrition Research Center (DK46200), Bristol-Myers Squibb; British Heart Foundation (RG/10/12/28456, RG2008/08, RG2008/014, SP/04/002); Medical Research Council of Canada; Canadian Institutes for Health Research (FRCN-CCT-83028); Cancer Research UK; Cardionics; Cavadis B.V., Center for Medical Systems Biology; Center of Excellence in Genomics; CFI; CIHR; City of Kuopio; CNAMTS; Cohortes Santé TGIR; Contrat de Projets État-Région; Croatian Science Foundation (8875); Danish Agency for Science, Technology and Innovation; Danish Council for Independent Research (DFF-1333-00124, DFF-1331-00730B); County Council of Dalarna; Dalarna University; Danish Council for Strategic Research; Danish Diabetes Academy; Danish Medical Research Council; Department of Health, UK; Development Fund from the University of Tartu (SP1GVARENG); Diabetes Hilfs- und Forschungsfonds Deutschland; Diabetes UK; Diabetes Research and Wellness Foundation Fellowship; Donald W. Reynolds Foundation; Dr Robert Pfleger-Stiftung; Dutch Brain Foundation; Dutch Diabetes Research Foundation; Dutch Inter University Cardiology Institute; Dutch Kidney Foundation (E033); Dutch Ministry of Justice; the DynaHEALTH action No. 633595, Economic Structure Enhancing Fund of the Dutch Government; Else Kröner-Fresenius-Stiftung (2012_A147, P48/08//A11/08); Emil Aaltonen Foundation; Erasmus University Medical Center Rotterdam; Erasmus MC and Erasmus University Rotterdam; the Municipality of Rotterdam; Estonian Government (IUT20-60, IUT24-6); Estonian Research Roadmap through the Estonian Ministry of Education and Research (3.2.0304.11-0312); European Research Council (ERC Starting Grant and 323195:SZ-245 50371-GLUCOSEGENES-FP7-IDEAS-ERC); European Regional Development Fund; European Science Foundation (EU/QLRT-2001-01254); European Commission (018947, 018996, 201668, 223004, 230374, 279143, 284167, 305739, BBMRI-LPC-313010, HEALTH-2011.2.4.2-2-EU-MASCARA, HEALTH-2011-278913, HEALTH-2011-294713-EPLORE, HEALTH-F2-2008-201865-GEFOS, HEALTH-F2-2013-601456, HEALTH-F4-2007-201413, HEALTH-F4-2007-201550-HYPERGENES, HEALTH-F7-305507 HOMAGE, IMI/115006, LSHG-CT-2006-018947, LSHG-CT-2006-01947, LSHM-CT-2004-005272, LSHM-CT-2006-037697, LSHM-CT-2007-037273, QLG1-CT-2002-00896, QLG2-CT-2002-01254); Faculty of Biology and Medicine of Lausanne; Federal Ministry of Education and Research (01ZZ0103, 01ZZ0403, 01ZZ9603, 03IS2061A, 03ZIK012); Federal State of Mecklenburg-West Pomerania; Fédération Française de Cardiologie; Finnish Cultural Foundation; Finnish Diabetes Association; Finnish Foundation of Cardiovascular Research; Finnish Heart Association; Fondation Leducq; Food Standards Agency; Foundation for Strategic Research; French Ministry of Research; FRSQ; Genetic Association Information Network (GAIN) of the Foundation for the NIH; German Federal Ministry of Education and Research (BMBF, 01ER1206, 01ER1507); GlaxoSmithKline; Greek General Secretary of Research and Technology; Göteborg Medical Society; Health and Safety Executive; Healthcare NHS Trust; Healthway; Western Australia; Heart Foundation of Northern Sweden; Helmholtz Zentrum München—German Research Center for Environmental Health; Hjartavernd; Ingrid Thurings Foundation; INSERM; InterOmics (PB05 MIUR-CNR); INTERREG IV Oberrhein Program (A28); Interuniversity Cardiology Institute of the Netherlands (ICIN, 09.001); Italian Ministry of Health (ICS110.1/RF97.71); Italian Ministry of Economy and Finance (FaReBio di Qualità); Marianne and Marcus Wallenberg Foundation; the Ministry of Health, Welfare and Sports, the Netherlands; J.D.E. and Catherine T, MacArthur Foundation Research Networks on Successful Midlife Development and Socioeconomic Status and Health; Juho Vainio Foundation; Juvenile Diabetes Research Foundation International; KfH Stiftung Präventivmedizin e.V.; King's College London; Knut and Alice Wallenberg Foundation; Kuopio University Hospital; Kuopio, Tampere and Turku University Hospital Medical Funds (X51001); La Fondation de France; Leenaards Foundation; Lilly; LMUinnovativ; Lundberg Foundation; Magnus Bergvall Foundation; MDEIE; Medical Research Council UK (G0000934, G0601966, G0700931, MC_U106179471, MC_UU_12019/1); MEKOS Laboratories; Merck Santé; Ministry for Health, Welfare and Sports, The Netherlands; Ministry of Cultural Affairs of Mecklenburg-West Pomerania; Ministry of Economic Affairs, The Netherlands; Ministry of Education and Culture of Finland (627;2004-2011); Ministry of Education, Culture and Science, The Netherlands; Ministry of Science, Education and Sport in the Republic of Croatia (108-1080315-0302); MRC centre for Causal Analyses in Translational Epidemiology; MRC Human Genetics Unit; MRC-GlaxoSmithKline pilot programme (G0701863); MSD Stipend Diabetes; National Institute for Health Research; Netherlands Brain Foundation (F2013(1)-28); Netherlands CardioVascular Research Initiative (CVON2011-19); Netherlands Genomics Initiative (050-060-810); Netherlands Heart Foundation (2001 D 032, NHS2010B280); Netherlands Organization for Scientific Research (NWO) and Netherlands Organisation for Health Research and Development (ZonMW) (56-464-14192, 60-60600-97-118, 100-001-004, 261-98-710, 400-05-717, 480-04-004, 480-05-003, 481-08-013, 904-61-090, 904-61-193, 911-11-025, 985-10-002, Addiction-31160008, BBMRI–NL 184.021.007, GB-MaGW 452-04-314, GB-MaGW 452-06-004, GB-MaGW 480-01-006, GB-MaGW 480-07-001, GB-MW 940-38-011, Middelgroot-911-09-032, NBIC/BioAssist/RK 2008.024, Spinozapremie 175.010.2003.005, 175.010.2007.006); Neuroscience Campus Amsterdam; NHS Foundation Trust; National Institutes of Health (1RC2MH089951, 1Z01HG000024, 24152, 263MD9164, 263MD821336, 2R01LM010098, 32100-2, 32122, 32108, 5K99HL130580-02, AA07535, AA10248, AA11998, AA13320, AA13321, AA13326, AA14041, AA17688, AG13196, CA047988, DA12854, DK56350, DK063491, DK078150, DK091718, DK100383, DK078616, ES10126, HG004790, HHSN268200625226C, HHSN268200800007C, HHSN268201200036C, HHSN268201500001I, HHSN268201100046C, HHSN268201100001C, HHSN268201100002C, HHSN268201100003C, HHSN268201100004C, HHSN271201100004C, HL043851, HL45670, HL080467, HL085144, HL087660, HL054457, HL119443, HL118305, HL071981, HL034594, HL126024, HL130114, KL2TR001109, MH66206, MH081802, N01AG12100, N01HC55015, N01HC55016, N01C55018, N01HC55019, N01HC55020, N01HC55021, N01HC55022, N01HC85079, N01HC85080, N01HC85081, N01HC85082, N01HC85083, N01HC85086, N01HC95159, N01HC95160, N01HC95161, N01HC95162, N01HC95163, N01HC95164, N01HC95165, N01HC95166, N01HC95167, N01HC95168, N01HC95169, N01HG65403, N01WH22110, N02HL6‐4278, N01-HC-25195, P01CA33619, R01HD057194, R01HD057194, R01AG023629, R01CA63, R01D004215701A, R01DK075787, R01DK062370, R01DK072193, R01DK075787, R01DK089256, R01HL53353, R01HL59367, R01HL086694, R01HL087641, R01HL087652, R01HL103612, R01HL105756, R01HL117078, R01HL120393, R03 AG046389, R37CA54281, RC2AG036495, RC4AG039029, RPPG040710371, RR20649, TW008288, TW05596, U01AG009740, U01CA98758, U01CA136792, U01DK062418, U01HG004402, U01HG004802, U01HG007376, U01HL080295, UL1RR025005, UL1TR000040, UL1TR000124, UL1TR001079, 2T32HL007055-36, T32GM074905, HG002651, HL084729, N01-HC-25195, UM1CA182913); NIH, National Institute on Aging (Intramural funding, NO1-AG-1-2109); Northern Netherlands Collaboration of Provinces; Novartis Pharma; Novo Nordisk; Novo Nordisk Foundation; Nutricia Research Foundation (2016-T1); ONIVINS; Parnassia Bavo group; Pierre Fabre; Province of Groningen; Päivikki and Sakari Sohlberg Foundation; Påhlssons Foundation; Paavo Nurmi Foundation; Radboud Medical Center Nijmegen; Research Centre for Prevention and Health, the Capital Region of Denmark; the Research Institute for Diseases in the Elderly; Research into Ageing; Robert Dawson Evans Endowment of the Department of Medicine at Boston University School of Medicine and Boston Medical Center; Roche; Royal Society; Russian Foundation for Basic Research (NWO-RFBR 047.017.043); Rutgers University Cell and DNA Repository (NIMH U24 MH068457-06); Sanofi-Aventis; Scottish Government Health Directorates, Chief Scientist Office (CZD/16/6); Siemens Healthcare; Social Insurance Institution of Finland (4/26/2010); Social Ministry of the Federal State of Mecklenburg-West Pomerania; Société Francophone du 358 Diabète; State of Bavaria; Stiftelsen för Gamla Tjänarinnor; Stockholm County Council (560183, 592229); Strategic Cardiovascular and Diabetes Programmes of Karolinska Institutet and Stockholm County Council; Stroke Association; Swedish Diabetes Association; Swedish Diabetes Foundation (2013-024); Swedish Foundation for Strategic Research; Swedish Heart-Lung Foundation (20120197, 20150711); Swedish Research Council (0593, 8691, 2012-1397, 2012-1727, and 2012-2215); Swedish Society for Medical Research; Swiss Institute of Bioinformatics; Swiss National Science Foundation (3100AO-116323/1, 31003A-143914, 33CSCO-122661, 33CS30-139468, 33CS30-148401, 51RTP0_151019); Tampere Tuberculosis Foundation; Technology Foundation STW (11679); The Fonds voor Wetenschappelijk Onderzoek Vlaanderen, Ministry of the Flemish Community (G.0880.13, G.0881.13); The Great Wine Estates of the Margaret River Region of Western Australia; Timber Merchant Vilhelm Bangs Foundation; Topcon; Tore Nilsson Foundation; Torsten and Ragnar Söderberg's Foundation; United States – Israel Binational Science Foundation (Grant 2011036), Umeå University; University Hospital of Regensburg; University of Groningen; University Medical Center Groningen; University of Michigan; University of Utrecht; Uppsala Multidisciplinary Center for Advanced Computational Science (UPPMAX) (b2011036); Velux Foundation; VU University's Institute for Health and Care Research; Västra Götaland Foundation; Wellcome Trust (068545, 076113, 079895, 084723, 088869, WT064890, WT086596, WT098017, WT090532, WT098051, 098381); Wissenschaftsoffensive TMO; Yrjö Jahnsson Foundation; and Åke Wiberg Foundation. The views expressed in this manuscript are those of the authors and do not necessarily represent the views of the National Heart, Lung, and Blood Institute (NHLBI); the National Institutes of Health (NIH); or the U.S. Department of Health and Human Services. ; Peer reviewed ; Publisher PDF
Few genome-wide association studies (GWAS) account for environmental exposures, like smoking, potentially impacting the overall trait variance when investigating the genetic contribution to obesity-related traits. Here, we use GWAS data from 51,080 current smokers and 190,178 nonsmokers (87% European descent) to identify loci influencing BMI and central adiposity, measured as waist circumference and waist-to-hip ratio both adjusted for BMI. We identify 23 novel genetic loci, and 9 loci with convincing evidence of gene-smoking interaction (GxSMK) on obesity-related traits. We show consistent direction of effect for all identified loci and significance for 18 novel and for 5 interaction loci in an independent study sample. These loci highlight novel biological functions, including response to oxidative stress, addictive behaviour, and regulatory functions emphasizing the importance of accounting for environment in genetic analyses. Our results suggest that tobacco smoking may alter the genetic susceptibility to overall adiposity and body fat distribution. ; A full list of acknowledgments appears in the Supplementary Note 4. Co-author A.J.M.d.C. recently passed away while this work was in process. This work was performed under the auspices of the Genetic Investigation of ANthropometric Traits (GIANT) consortium. We acknowledge the Cohorts for Heart and Aging Research in Genomic Epidemiology (CHARGE) Consortium for encouraging CHARGE studies to participate in this effort and for the contributions of CHARGE members to the analyses conducted for this research. Funding for this study was provided by the Aase and Ejner Danielsens Foundation; Academy of Finland (41071, 77299, 102318, 110413, 117787, 121584, 123885, 124243, 124282, 126925, 129378, 134309, 286284); Accare Center for Child and Adolescent Psychiatry; Action on Hearing Loss (G51); Agence Nationale de la 359 Recherche; Agency for Health Care Policy Research (HS06516); ALF/LUA research grant in Gothenburg; ALFEDIAM; ALK-Abelló A/S; Althingi; American Heart Association (13POST16500011); Amgen; Andrea and Charles Bronfman Philanthropies; Ardix Medical; Arthritis Research UK; Association Diabète Risque Vasculaire; Australian National Health and Medical Research Council (241944, 339462, 389875, 389891, 389892, 389927, 389938, 442915, 442981, 496739, 552485, 552498); Avera Institute; Bayer Diagnostics; Becton Dickinson; BHF (RG/14/5/30893); Boston Obesity Nutrition Research Center (DK46200), Bristol-Myers Squibb; British Heart Foundation (RG/10/12/28456, RG2008/08, RG2008/014, SP/04/002); Medical Research Council of Canada; Canadian Institutes for Health Research (FRCN-CCT-83028); Cancer Research UK; Cardionics; Cavadis B.V., Center for Medical Systems Biology; Center of Excellence in Genomics; CFI; CIHR; City of Kuopio; CNAMTS; Cohortes Santé TGIR; Contrat de Projets État-Région; Croatian Science Foundation (8875); Danish Agency for Science, Technology and Innovation; Danish Council for Independent Research (DFF-1333-00124, DFF-1331-00730B); County Council of Dalarna; Dalarna University; Danish Council for Strategic Research; Danish Diabetes Academy; Danish Medical Research Council; Department of Health, UK; Development Fund from the University of Tartu (SP1GVARENG); Diabetes Hilfs- und Forschungsfonds Deutschland; Diabetes UK; Diabetes Research and Wellness Foundation Fellowship; Donald W. Reynolds Foundation; Dr Robert Pfleger-Stiftung; Dutch Brain Foundation; Dutch Diabetes Research Foundation; Dutch Inter University Cardiology Institute; Dutch Kidney Foundation (E033); Dutch Ministry of Justice; the DynaHEALTH action No. 633595, Economic Structure Enhancing Fund of the Dutch Government; Else Kröner-Fresenius-Stiftung (2012_A147, P48/08//A11/08); Emil Aaltonen Foundation; Erasmus University Medical Center Rotterdam; Erasmus MC and Erasmus University Rotterdam; the Municipality of Rotterdam; Estonian Government (IUT20-60, IUT24-6); Estonian Research Roadmap through the Estonian Ministry of Education and Research (3.2.0304.11-0312); European Research Council (ERC Starting Grant and 323195:SZ-245 50371-GLUCOSEGENES-FP7-IDEAS-ERC); European Regional Development Fund; European Science Foundation (EU/QLRT-2001-01254); European Commission (018947, 018996, 201668, 223004, 230374, 279143, 284167, 305739, BBMRI-LPC-313010, HEALTH-2011.2.4.2-2-EU-MASCARA, HEALTH-2011-278913, HEALTH-2011-294713-EPLORE, HEALTH-F2-2008-201865-GEFOS, HEALTH-F2-2013-601456, HEALTH-F4-2007-201413, HEALTH-F4-2007-201550-HYPERGENES, HEALTH-F7-305507 HOMAGE, IMI/115006, LSHG-CT-2006-018947, LSHG-CT-2006-01947, LSHM-CT-2004-005272, LSHM-CT-2006-037697, LSHM-CT-2007-037273, QLG1-CT-2002-00896, QLG2-CT-2002-01254); Faculty of Biology and Medicine of Lausanne; Federal Ministry of Education and Research (01ZZ0103, 01ZZ0403, 01ZZ9603, 03IS2061A, 03ZIK012); Federal State of Mecklenburg-West Pomerania; Fédération Française de Cardiologie; Finnish Cultural Foundation; Finnish Diabetes Association; Finnish Foundation of Cardiovascular Research; Finnish Heart Association; Fondation Leducq; Food Standards Agency; Foundation for Strategic Research; French Ministry of Research; FRSQ; Genetic Association Information Network (GAIN) of the Foundation for the NIH; German Federal Ministry of Education and Research (BMBF, 01ER1206, 01ER1507); GlaxoSmithKline; Greek General Secretary of Research and Technology; Göteborg Medical Society; Health and Safety Executive; Healthcare NHS Trust; Healthway; Western Australia; Heart Foundation of Northern Sweden; Helmholtz Zentrum München—German Research Center for Environmental Health; Hjartavernd; Ingrid Thurings Foundation; INSERM; InterOmics (PB05 MIUR-CNR); INTERREG IV Oberrhein Program (A28); Interuniversity Cardiology Institute of the Netherlands (ICIN, 09.001); Italian Ministry of Health (ICS110.1/RF97.71); Italian Ministry of Economy and Finance (FaReBio di Qualità); Marianne and Marcus Wallenberg Foundation; the Ministry of Health, Welfare and Sports, the Netherlands; J.D.E. and Catherine T, MacArthur Foundation Research Networks on Successful Midlife Development and Socioeconomic Status and Health; Juho Vainio Foundation; Juvenile Diabetes Research Foundation International; KfH Stiftung Präventivmedizin e.V.; King's College London; Knut and Alice Wallenberg Foundation; Kuopio University Hospital; Kuopio, Tampere and Turku University Hospital Medical Funds (X51001); La Fondation de France; Leenaards Foundation; Lilly; LMUinnovativ; Lundberg Foundation; Magnus Bergvall Foundation; MDEIE; Medical Research Council UK (G0000934, G0601966, G0700931, MC_U106179471, MC_UU_12019/1); MEKOS Laboratories; Merck Santé; Ministry for Health, Welfare and Sports, The Netherlands; Ministry of Cultural Affairs of Mecklenburg-West Pomerania; Ministry of Economic Affairs, The Netherlands; Ministry of Education and Culture of Finland (627;2004-2011); Ministry of Education, Culture and Science, The Netherlands; Ministry of Science, Education and Sport in the Republic of Croatia (108-1080315-0302); MRC centre for Causal Analyses in Translational Epidemiology; MRC Human Genetics Unit; MRC-GlaxoSmithKline pilot programme (G0701863); MSD Stipend Diabetes; National Institute for Health Research; Netherlands Brain Foundation (F2013(1)-28); Netherlands CardioVascular Research Initiative (CVON2011-19); Netherlands Genomics Initiative (050-060-810); Netherlands Heart Foundation (2001 D 032, NHS2010B280); Netherlands Organization for Scientific Research (NWO) and Netherlands Organisation for Health Research and Development (ZonMW) (56-464-14192, 60-60600-97-118, 100-001-004, 261-98-710, 400-05-717, 480-04-004, 480-05-003, 481-08-013, 904-61-090, 904-61-193, 911-11-025, 985-10-002, Addiction-31160008, BBMRI–NL 184.021.007, GB-MaGW 452-04-314, GB-MaGW 452-06-004, GB-MaGW 480-01-006, GB-MaGW 480-07-001, GB-MW 940-38-011, Middelgroot-911-09-032, NBIC/BioAssist/RK 2008.024, Spinozapremie 175.010.2003.005, 175.010.2007.006); Neuroscience Campus Amsterdam; NHS Foundation Trust; National Institutes of Health (1RC2MH089951, 1Z01HG000024, 24152, 263MD9164, 263MD821336, 2R01LM010098, 32100-2, 32122, 32108, 5K99HL130580-02, AA07535, AA10248, AA11998, AA13320, AA13321, AA13326, AA14041, AA17688, AG13196, CA047988, DA12854, DK56350, DK063491, DK078150, DK091718, DK100383, DK078616, ES10126, HG004790, HHSN268200625226C, HHSN268200800007C, HHSN268201200036C, HHSN268201500001I, HHSN268201100046C, HHSN268201100001C, HHSN268201100002C, HHSN268201100003C, HHSN268201100004C, HHSN271201100004C, HL043851, HL45670, HL080467, HL085144, HL087660, HL054457, HL119443, HL118305, HL071981, HL034594, HL126024, HL130114, KL2TR001109, MH66206, MH081802, N01AG12100, N01HC55015, N01HC55016, N01C55018, N01HC55019, N01HC55020, N01HC55021, N01HC55022, N01HC85079, N01HC85080, N01HC85081, N01HC85082, N01HC85083, N01HC85086, N01HC95159, N01HC95160, N01HC95161, N01HC95162, N01HC95163, N01HC95164, N01HC95165, N01HC95166, N01HC95167, N01HC95168, N01HC95169, N01HG65403, N01WH22110, N02HL6‐4278, N01-HC-25195, P01CA33619, R01HD057194, R01HD057194, R01AG023629, R01CA63, R01D004215701A, R01DK075787, R01DK062370, R01DK072193, R01DK075787, R01DK089256, R01HL53353, R01HL59367, R01HL086694, R01HL087641, R01HL087652, R01HL103612, R01HL105756, R01HL117078, R01HL120393, R03 AG046389, R37CA54281, RC2AG036495, RC4AG039029, RPPG040710371, RR20649, TW008288, TW05596, U01AG009740, U01CA98758, U01CA136792, U01DK062418, U01HG004402, U01HG004802, U01HG007376, U01HL080295, UL1RR025005, UL1TR000040, UL1TR000124, UL1TR001079, 2T32HL007055-36, T32GM074905, HG002651, HL084729, N01-HC-25195, UM1CA182913); NIH, National Institute on Aging (Intramural funding, NO1-AG-1-2109); Northern Netherlands Collaboration of Provinces; Novartis Pharma; Novo Nordisk; Novo Nordisk Foundation; Nutricia Research Foundation (2016-T1); ONIVINS; Parnassia Bavo group; Pierre Fabre; Province of Groningen; Päivikki and Sakari Sohlberg Foundation; Påhlssons Foundation; Paavo Nurmi Foundation; Radboud Medical Center Nijmegen; Research Centre for Prevention and Health, the Capital Region of Denmark; the Research Institute for Diseases in the Elderly; Research into Ageing; Robert Dawson Evans Endowment of the Department of Medicine at Boston University School of Medicine and Boston Medical Center; Roche; Royal Society; Russian Foundation for Basic Research (NWO-RFBR 047.017.043); Rutgers University Cell and DNA Repository (NIMH U24 MH068457-06); Sanofi-Aventis; Scottish Government Health Directorates, Chief Scientist Office (CZD/16/6); Siemens Healthcare; Social Insurance Institution of Finland (4/26/2010); Social Ministry of the Federal State of Mecklenburg-West Pomerania; Société Francophone du 358 Diabète; State of Bavaria; Stiftelsen för Gamla Tjänarinnor; Stockholm County Council (560183, 592229); Strategic Cardiovascular and Diabetes Programmes of Karolinska Institutet and Stockholm County Council; Stroke Association; Swedish Diabetes Association; Swedish Diabetes Foundation (2013-024); Swedish Foundation for Strategic Research; Swedish Heart-Lung Foundation (20120197, 20150711); Swedish Research Council (0593, 8691, 2012-1397, 2012-1727, and 2012-2215); Swedish Society for Medical Research; Swiss Institute of Bioinformatics; Swiss National Science Foundation (3100AO-116323/1, 31003A-143914, 33CSCO-122661, 33CS30-139468, 33CS30-148401, 51RTP0_151019); Tampere Tuberculosis Foundation; Technology Foundation STW (11679); The Fonds voor Wetenschappelijk Onderzoek Vlaanderen, Ministry of the Flemish Community (G.0880.13, G.0881.13); The Great Wine Estates of the Margaret River Region of Western Australia; Timber Merchant Vilhelm Bangs Foundation; Topcon; Tore Nilsson Foundation; Torsten and Ragnar Söderberg's Foundation; United States – Israel Binational Science Foundation (Grant 2011036), Umeå University; University Hospital of Regensburg; University of Groningen; University Medical Center Groningen; University of Michigan; University of Utrecht; Uppsala Multidisciplinary Center for Advanced Computational Science (UPPMAX) (b2011036); Velux Foundation; VU University's Institute for Health and Care Research; Västra Götaland Foundation; Wellcome Trust (068545, 076113, 079895, 084723, 088869, WT064890, WT086596, WT098017, WT090532, WT098051, 098381); Wissenschaftsoffensive TMO; Yrjö Jahnsson Foundation; and Åke Wiberg Foundation. The views expressed in this manuscript are those of the authors and do not necessarily represent the views of the National Heart, Lung, and Blood Institute (NHLBI); the National Institutes of Health (NIH); or the U.S. Department of Health and Human Services. ; Peer Reviewed
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In einer Welt, die sich zunehmend der Wichtigkeit des Umweltschutzes bewusst wird, ist es an der Zeit, über ein Thema zu sprechen, das nicht nur unsere Ökosysteme betrifft, sondern auch tiefergreifende soziale Ungerechtigkeiten aufdeckt. Wir sind alle Zeugen und Verursacher des Klimawandels und seiner verheerenden Auswirkungen. Nun wollen wir genauer hinsehen und verstehen, wie dieser Wandel bestimmte Gemeinschaften in unverhältnismäßigem Maß betrifft. Die Rede ist von Umweltrassismus.Im Folgenden soll gezeigt werden, dass Umweltprobleme nicht gleichmäßig auf alle Bevölkerungsgruppen verteilt sind, sondern oft die treffen, die bereits benachteiligt sind. Dafür wird zuerst der Begriff Umweltrassismus aus verschiedenen Perspektiven betrachtet. Anschließend wird an Beispielen genauer aufgezeigt, was für Arten es gibt, bevor es um Lösungsvorschläge gehen wird.In dem Beitrag wird von BIPoC gesprochen. BIPoC steht für "Black, Indigenous and People of Colour". Das Akronym setzt sich also aus politischen Selbstbezeichnungen von Menschen zusammen, die von rassistischer Unterdrückung betroffen sind.Ursprung des Begriffs "Umweltrassismus"?Dass die Folgen des Klimawandels immer verheerender werden, ist nichts Neues. Und dass dies enorme Gesundheitsfolgen mit sich bringt, ist auch bekannt. Dabei wird zwischen direkten (primären) Folgen und indirekten (sekundären und tertiären) Folgen unterschieden. Zu den direkten Folgen zählen eine erhöhte Sterbe- und Erkrankungsrate durch Ereignisse wie Hitzewellen, Überschwemmungen oder Waldbränden. Zu den indirekten Folgen gehören Auswirkungen wie Nahrungsmittelknappheit, Zunahme von Infektionskrankheiten und Allergien. Außerdem gibt es sozial bedingte Folgen, beispielsweise Hungersnöte, Entwicklungsstagnation oder Kriege (Kuehni, Egger 2012, S. 190). Doch was ist, wenn Teile der Erde oder bestimmte Gruppen schlimmer unter den Folgen des Klimawandels leiden als andere? In diesem Zusammenhang wird mittlerweile immer häufiger von "Umweltrassismus" gesprochen.Der Begriff kam Anfang der 1980er Jahre auf. Damals suchte der Bundesstaat North Carolina einen Ort, an dem man mit Polychlorierte Biphenylen (PCB) verseuchte Erde entsorgen kann. Zuerst war eine Entsorgungsdeponie in einem Bezirk mit hauptsächlich weißen Menschen geplant. Eine Bürgerinitiative verhinderte dies. Daraufhin war schnell klar, dass die Deponie in einem der Bezirke mit hauptsächlich schwarzen, armen oder anderweitig benachteiligten Nachbarschaften errichtet werden sollte.1982 wurde beschlossen, die verseuchte Erde in einer kleinen Gemeinde namens Afton zu entsorgen. Diese Stadt liegt in Warren County, dem damals ärmsten Landkreis in North Carolina mit einem schwarzen Bevölkerungsanteil von 65 %. Die Bevölkerung versuchte dagegen anzugehen. Zuerst gerichtlich, doch als das nichts half, gab es über sechs Wochen Sitzblockaden, Straßensperren und Demonstrationen. Dabei wurden mehr als 500 Demonstrierende verhaftet. Doch alle Bemühungen halfen nichts. Die Mülldeponie wurde dennoch gebaut. (Ituen/Tatu Hey 2021, S. 4-5). Kurz darauf wurde PCB weltweit verboten, da es sich als hochgiftig, krebserregend und erbgutschädigend herausstellte (Warda 2020).Trotz der Niederlage bei dem Bau der Deponie waren diese Proteste von großer Bedeutung und wurden von vielen anderen als Vorbild genommen. Aus Kämpfen gegen diese Art von Umweltrassismus ist schließlich die Bewegung für Klimagerechtigkeit hervorgegangen, welche erstmals Fragen sozialer Gerechtigkeit im Zusammenhang mit umweltpolitischen Aspekten betrachtete (FARN, o.J.). Geprägt wurde der Begriff Umweltrassismus von dem Bürgerrechtler Dr. Benjamin F. Chavis Jr., der an den Demonstrationen in Afton beteiligt war. Er definiert Umweltrassismus als"the intentional siting of polluting and waste facilities in communities primarily populated by African Americans, Latines, Indigenous People, Asian Americans and Pacific Islanders, migrant farmworkers, and low-income workers" (Ihejirika 2023)Chavis veröffentlichte im Jahr 1987 gemeinsam mit der United Church of Christ (UCC) Kommission eine Studie zum Thema "Toxic Wastes and Race in the United States". Aus der Studie ging hervor, dass drei von fünf BIPoC nahe einer Giftmülldeponie wohnen. In einem Dokumentarfilm sagte Davis:"The issue of environmental racism is an issue of life and death. It is just not an issue of some form of prejudice where someone doesn't like you because of the color of your skin. This is an issue that will take your life away, if you don't get involved." (United Church of Christ 2023 / o.J.).Die Protestaktion und der Film löste eine nationale Debatte über Umweltrassismus aus (United Church of Christ 2023). Die Studie von 1987 wurde bis 2007 fortgesetzt und zeigte, dass nach wie vor eine Ungleichheit herrscht und Menschen aufgrund ihrer Hautfarbe einem höheren Risiko von umweltschädlichen Stoffen ausgesetzt sind. Noch immer werden Mülldeponien eher an Standorten mit einem hohen Anteil an BIPoC erbaut, als dort, wo weiße Menschen leben (Bullard et. al. 2007, S. 155).Seither gibt es immer mehr Studien zu Umweltrassismus. Diese bestätigen, dass PoC viel stärker Umweltrisiken ausgesetzt sind als weiße Personen. Die Ursache liegt vor allem darin, dass die Industrie sich meistens dort ansiedelt, wo hauptsächlich BIPoC leben. Deshalb sind schwarze Menschen 1.5 Mal, Hispanics 1.2 Mal und einkommensschwache Menschen 1.3 Mal so viel Feinstaub ausgesetzt wie weiße Menschen bzw. einkommensstarke (Warda 2020). Durch die Studien und Veröffentlichungen zum Thema Umweltrassismus hat sich der Begriff weiterentwickelt. Der amerikanische Soziologe Robert Bullard definiert ihn als"any policy, practice or directive that differentially affects or disadvantages (where intended oder unintended) individuals, groups or communities based on race or color" (Batiste 2022, S. 1).Das Projekt "ENRICH" (Environmental Noxiousness, Racial Inequities, and Community Health) unterscheidet zwei Bestandteile des Umweltrassismus. Zum einen gibt es die räumliche Verteilungsungerechtigkeit, die sich auf die Standortwahl industrieller Umweltverschmutzer und anderer umweltgefährdender Projekte bezieht. Zum anderen handelt es sich um die Verfahrensungerechtigkeit. Dabei stehen die institutionellen Mechanismen und Richtlinien im Mittelpunkt, welche die Ungerechtigkeit aufrechterhalten (ENRICH o.J.).Umweltrassismus, Klimawandel und Kolonialismus Durch den Klimawandel werden weitere, ganz neue Seiten von Umweltrassismus aufgezeigt. Die Ursachen und Folgen des Klimawandels sind ungleich über den Planeten verteilt. Länder im globalen Süden sind meist viel stärker von den Auswirkungen des Klimawandels betroffen. Und das, obwohl sie deutlich weniger CO2-Emissionen erzeugen als der globale Norden (Warda 2020). Das zeigt, dass die Klimakrise die (globale) soziale Krise und somit den Umweltrassismus in großen Dimensionen enorm beeinflusst. Um dieses Ungleichgewicht von Nord- und Südkugel, welches mit dem Klimawandel einhergeht, zu erfassen, muss der Kolonialismus berücksichtigt werden.Im Zuge der Kolonialisierung kam es zu neuartigen globalen Handels- und Machtbeziehungen, welche bis heute anhalten. Dadurch blühte der globale Norden auf und erreichte Reichtum und Wohlstand (Bendix 2015, S. 273). Die Länder des globalen Südens galten als "Ressourcen- und Absatzmärkte" und halfen den Ländern auf der Nordhalbkugel, ihren Reichtum zu vermehren (Öztürk 2012, S. 2).Viele westliche Firmen wollen günstig in ärmeren Ländern produzieren. Meist haben die ärmeren Länder zudem eine fragile staatliche Struktur. Westliche Länder und Firmen nutzen dies aus und verschmutzen dadurch dort vor Ort die Natur und achten wenig auf Einheimische (Warda 2020). Der globale Süden wird ausgebeutet und leidet unter den massiven Eingriffen in deren Ökosysteme von außerhalb (Ziai 2012, S. 23).Aktuell zeigt sich eine erhebliche Diskrepanz im durchschnittlichen Pro-Kopf-Ausstoß von Emissionen zwischen den ärmsten Ländern, zu welchen Niger, Somalia und die Zentralafrikanische Republik gehören. Dieser Ausstoß ist in den ärmsten Ländern mehr als 140 Mal niedriger als beispielsweise in Deutschland. Dazu kommt die historische Verantwortung des Globalen Nordens hinsichtlich des Klimawandels. Der größte Teil der Emissionen, der sich seit Beginn der Industrialisierung in der Atmosphäre gesammelt hat, geht auf den Globalen Norden zurück (Kurwan 2023).Eine interessante Abbildung zu den Pro-Kopf-CO2-Emissionen im Jahr 2021 findet ihr hier. Dort wird der durchschnittliche Verbrauch von fast jedem Land dargestellt. Durch Klicken auf das Land kann man sehen, dass zum Beispiel Deutschland einen durchschnittlichen Pro-Kopf-Verbrauch an Emissionen von 8.09 hatte. Eine klare Nord-Süd Trennung der Welt ist erkennbar.Damals wie auch heute sind die Länder im globalen Süden zudem stark von der Landwirtschaft abhängig. Ihre Existenz steht babei auf dem Spiel. Um sich vor den Auswirkungen zu schützen, fehlt den Menschen, aber auch den Ländern, oftmals das Geld. Von außerhalb kommt wenig Hilfe und das, obwohl der Klimawandel ein globales Problem ist. Dennoch gibt es auf politischer Ebene einen einseitigen Fokus, welcher nur auf den vergleichsweise geringen Auswirkungen auf den globalen Norden liegt. Die Länder des globalen Südens werden mit den schlimmen gesellschaftlichen und ökologischen Folgeschäden nahezu allein gelassen.Das bedeutet nicht, dass einzelne Personen, welche die Entscheidungen treffen, eine konkrete diskriminierende Absicht haben (Bellina 2022, S. 64), aber dass viele die globalen Konsequenzen außen vor lassen und nicht bedenken. Die Folge? Sie müssen fliehen. Menschen können aufgrund der Probleme, die durch den Klimawandel ausgelöst werden, nicht in ihrer Heimat bleiben (Warda 2020).Laut einem Bericht des Internal Displacement Monitoring Centre (iDMC) aus dem Jahr 2015 verlassen seit 2008 jedes Jahr durchschnittlich 26.4 Mio. Menschen, ihre Heimat aufgrund von Naturkatastrophen. Das ist eine Person pro Sekunde. Die Zahl der geflohenen Personen sollen sich in den nächsten Jahren vervielfachen. Hauptursachen hierbei sind wetterbedingte Katastrophen wie Stürme, Überschwemmungen und Sturmfluten. Zu eher schleichenden Umweltproblemen wie Dürren oder dem ansteigenden Meeresspiegel gibt es (noch) keine konkreten Zahlen. Das sind deutlich mehr Personen, die aufgrund von Naturkatastrophen fliehen müssen, als aufgrund von Krieg. Oft stehen Umweltkatastrophen mit anderen Konflikten im Zusammenhang, beispielsweise Wasserknappheit (Yonetani 2015, S. 8). Umweltrassismus beeinflusst also das reale Überleben dieser Menschen.Doch nicht nur zwischen Süd und Nord gibt es Unterschiede. Auch die Einkommensunterschiede innerhalb eines Landes tragen dazu bei. So treffen die Folgen des Klimawandels die Menschen mit weniger Einkommen oft härter. Zum einen, weil sie weniger Wohnraum und somit weniger Rückzugsorte haben, zum anderen haben Einkommensschwache meist auch kein Auto oder eine andere Möglichkeit, am Straßenverkehr teilzunehmen und vor der Katastrophe zu fliehen (Adick 2022).Es kann auch Diskriminierung zwischen Geschlechtern und Generationen geben. Besonders Frauen und Kinder sind von den Folgen der Klimakrise betroffen (Kurwan 2023). Und das, obwohl Männer durchschnittlich mehr zur Klimaerwärmung beitragen als Frauen. Ein Grund dafür ist, dass Warnungen bei Naturkatastrophen größtenteils im öffentlichen Raum stattfinden, Frauen sich allerdings eher zuhause aufhalten und sich dort um Kinder und Haushalt kümmern und darum erst später davon erfahren. Sie sind auch bei der Flucht für Kinder und die Pflege der älteren Angehörigen zuständig (DGVN 2016). Ein weiterer Grund ist gerade bei Flutereignissen, dass Frauen seltener schwimmen können und schlechteren Zugang zu Verkehrsmitteln haben (Kurwan 2023).Eine Folge von Umweltkatastrophen, die nichts direkt mit Umweltrassismus zu tun hat, möchte ich dennoch nicht unerwähnt lassen. Laut Studien steigt die Anzahl der gewaltsamen Übergriffe auf Frauen nach Umweltkatastrophen enorm. Oftmals verdoppeln sich die Zahl der Gewalttaten von Männern gegenüber Frauen. Warum das konkret nach Katastrophen häufiger auftritt, hängt wahrscheinlich mit den fehlenden Strukturen im Chaos zusammen. Frauen sind dadurch weniger geschützt (DGVN 2016).Umweltrassismus kann also gegen einzelne Personen, Gruppen oder auch Länder auftreten. Aus den Kämpfen gegen Umweltrassismus erfolgten verschiedene Bewegungen für Klimagerechtigkeit. Einige sind uns allen bekannt, wie "Fridays for Future". Sie setzen sich nicht nur für Klimapolitik und Klimaschutz ein, sondern auch für Klimagerechtigkeit, wodurch dem Umweltrassismus entgegengewirkt werden soll (Fridays for Future 2020). Es handelt sich dabei also nicht nur um eine Klimabewegung, sondern um eine Klimagerechtigkeitsbewegung.FallbeispieleUm noch deutlicher zu zeigen, was für Arten von Umweltrassismus es auf der Erde gibt und wie oft diese auftreten, werden im Folgenden einige Beispiele aufgeführt.Das erste Beispiel handelt von den USA, genauer gesagt von den Gemeinden eines über 130 km langen Landstrichs entlang des Mississippi von Baton Rounge bis New Orleans in Louisiana. Hier haben sich insgesamt über 150 Ölraffinerien, Kunststofffabriken und andere chemische Anlagen angesiedelt, die viele Emissionen ausstoßen. Und das direkt an den zuvor bestehenden Siedlungen. Gleichzeitig weist der Abschnitt eine sehr hohe Inzidenz- und Sterblichkeitsrate im Vergleich zum Rest der USA auf. Auch die Krebsrate ist viel höher als im Rest des Landes. Aufgrund dessen wird dieser Abschnitt auch "Cancer Alley", die Allee der Krebskranken, genannt. In kaum einem anderen Bundesstaat ist die Luft so schlecht wie in Louisiana (Batiste 2022, S. 1).Doch nicht alle Menschen am Mississippi sind gleichermaßen betroffen. Vor allem die hier lebenden schwarzen Menschen auf der einen Seite des Flusses kämpfen gegen den Krebs. Verantwortlich dafür wird die Industrie gemacht. Auf der anderen Seite des Flusses leben hauptsächlich weiße Menschen, oftmals derselben Gemeinde. Aufgrund von Protesten wurden dort keine Industrieanlagen erbaut. Diese sehen die Industrie mittlerweile als Chance für neue Arbeitsplätze und Steuereinnahmen. Aber nur, wenn sie in einem bestimmten Abstand erbaut werden. Studien haben gezeigt: Je näher die Menschen an den Industrieanlagen wohnen, desto höher das Gesundheitsrisiko. Und da sich die Industrie hier auffällig nahe in Nachbarschaften mit hauptsächlich BIPoC oder Armen angesiedelt haben, gehen diese von einem rassistischen Motiv aus. Sie haben das Gefühl, geopfert zu werden, an zweiter Wahl zu stehen (Schmidt 2023).Eine Studie aus den USA zeigt, dass es eine besonders hohe Sterberate bei BIPoC gibt im Zusammenhang mit Hitzewellen. Vor allem in Großstädten sterben doppelt so viele wie weiße Menschen. Das liegt an den Temperaturdifferenzen innerhalb der schwarzen und weißen Nachbarschaft, welche bei bis zu 1.7° Celsius liegen kann (Ituen/Tatu Hey 2021, S. 12/13).Doch Umweltrassismus gibt es auch in Deutschland. So wurde durch verschiedene Studien festgestellt, dass es beispielsweise in Kassel eine erhöhte Luftverschmutzung in den Bezirken gibt, in welchen Menschen mit niedrigen sozioökonomischen Status und Migrationshintergrund wohnen (Ituen/Tatu Hey 2021, S. 9). Auch andere marginalisierte Gruppen, wie Sinti*zza und Rom*nja erleben dies immer wieder. Meistens werden sie in Gegenden mit einer hohen Umweltbelastung geschoben und von Umweltgütern wie sauberem Trinkwasser ausgeschlossen (Ituen/Tatu Hey 2021, S. 8).Eine neue Studie aus Chicago verdeutlicht, dass Schwarze während der Pandemie für 50 % der Corona-Infektionen und sogar 70 % der Todesfälle verantwortlich waren. Und das, obwohl sie lediglich 30 % der Bevölkerung von Chicago ausmachen. Und auch in Großbritannien zeigt sich, dass schwarze Menschen fast doppelt so häufig wie weiße Menschen einem erhöhten Risiko ausgesetzt sind, an Covid-19 zu sterben (Ituen/Tatu Hey 2021, S. 13).Ebenso können ganze Länder von Umweltrassismus betroffen sein, wie beispielsweise Senegal. Der globale Süden ist durch Kolonialisierung und jahrhundertelange Ausbeutung viel später in die Industrialisierung eingestiegen. Bis dahin haben die Länder des Nordens schon viel, viel mehr CO2 ausgestoßen, welches über 100 Jahre in der Atmosphäre bleibt. Trotzdem sollen die Länder des globalen Südens genau so viel CO2 einsparen wie die Länder auf der Nordhalbkugel. Gleichzeitig sollen sie die Schulden gegenüber dem globalen Norden abbauen. Das führt dazu, dass Länder im Süden (z.B. Senegal) ihre fossilen Energieträger von Industrienationen ausbeuten lassen, um nicht noch tiefer in die Schulden zu stürzen (Adick 2022).Umweltrassismus bekämpfenDie Bekämpfung von Umweltrassismus wird von Land zu Land unterschiedlich gehandhabt. Der gemeinsame Kern ist jedoch, dass das Leid der betroffenen Personen gemindert werden soll. Diese wollen auf sich aufmerksam machen und gegen das Unrecht ankämpfen. So war es auch bei Cancer Alley. Gemeinsam mit Anwälten wurden Klagen gegen staatliche Einrichtungen oder chemische Fabriken angestrengt (Schmidt 2023). Robert Taylor, der Gründer der Initiative gegen die Chemiefabriken, kämpft für eine bessere Zukunft. Vor allem für die BIPoC-Kinder der Gemeinden. Weitere Forderungen sind Verschärfungen von Vorschriften der EPA (Envioronmental Protection Agency), welche eine unabhängige Behörde der USA ist und sich für den Umweltschutz und den Schutz der menschlichen Gesundheit einsetzt, und eine Wiedergutmachung für die betroffenen und hinterbliebenen Personen (Batiste 2022, S. 29).Mittlerweile hat auch Präsident Joe Biden davon gehört und Taylor ins Weiße Haus eingeladen. Hier soll er verdeutlichen, dass Umweltschutz oberste Priorität hat und somit auch dem Umweltrassismus entgegengewirkt werden kann. Es gibt den Anwohner*innen und Umweltgruppen Hoffnung. Außerdem verlangen sie mehr Forschung zu dem Thema, um besser ihr Leid belegen zu können. Sie glauben, dass die Politik ihnen dann mehr Glauben schenkt (Schmidt 2023). Die daraus resultierende nationale Aufmerksamkeit soll der Wendepunkt von Cancer Alley sein (Batiste 2022, S. 29).Ein weiteres einzigartiges und innovatives Projekt wurde 2012 von Dr. Ingrid Waldron in Kanada ins Leben gerufen. Dabei handelt es sich um das sogenannte ENRICH-Projekt (Environmental Noxiousness, Racial Inequities, and Community Health), welches sich auf die sozialen, ökologischen, politischen und gesundheitlichen Auswirkungen von Umweltrassismus in Mi´kmaq-Gemeinden (Ureinwohner*innen) und Nova Scotia, einer kleinen Provinz in Kanada, spezialisieret (ENRICH o.J.). Die hauptsächlich dort lebenden BIPoC berichten von Krankheiten wie Krebs oder Diabetes, welche aufgrund von Mülldeponien, die 1974 und 2006 eröffnet wurden, hervorgerufen wurden. Außerdem hatten sie kaum Zugang zu sauberem Trinkwasser, da das Wasser viele Giftstoffe enthielt. Der Müll zog zudem Bären, Waschbären und Insekten an (Klingbeil 2016).Das Projekt will Wege finden, um räumliche wie verteilungstechnische Arten des Umweltrassismus in diesen Gemeinden anzugehen und mithilfe der Bürger*innen die Politik bzw. Politiker*innen zum Handeln zu zwingen. Des Weiteren wollen sie national über die Ansiedlung und Regulierung von Industrieanlagen im Zusammenhang mit Umweltrassismus informieren. Das machen sie mithilfe von Interessenvertretungen, gemeinschaftlichem Engagement, Mobilisierung und Kapazitätsaufbau in betroffenen Gemeinden, öffentlicher Bildung, Studierendenausbildung, sektorübergreifenden Partnerschaften, Workshops und Kommunikation (ENRICH o.J.). Auch ihnen ist es in erster Linie wichtig, auf diese Umstände aufmerksam zu machen. Die Beteiligten schafften es, dass im Jahr 2015 zum ersten mal in Kanada ein Gesetzesentwurf zum Thema Umweltrassismus eingebracht und bis zur zweiten Lesung durchgebracht wurde. Allerdings wurde das Gesetz nicht verabschiedet (Klingbeil 2016).Das Projekt sorgte weltweit für Aufsehen. Im April 2018 veröffentlichte Waldron das Buch "There´s something in the water" und verwendete Nova Scotia als Fallbeispiel, um die Auswirkungen von Umweltrassismus und dessen gesundheitliche Folgen auf indigene und schwarze Gemeinschaften in Kanada zu untersuchen. Das Buch erhielt zwei Preise. 2019 wurde der gleichnamige Dokumentarfilm veröffentlicht.Das sind einzelne Projekte, die wichtig sind und von denen Betroffene profitieren können. Jedoch können sie nicht dem globalen Umweltrassismus entgegenwirken, welcher heute enorme Dimensionen angenommen hat. Nicht nur Bevölkerungsgruppen, sondern auch Länder sind unterschiedlich von den Folgen des Klimawandels betroffen. Die Politik kann und muss dagegen ankämpfen. Es gibt schon Lösungsideen, wie dem Umweltrassismus entgegengewirkt werden kann.Ein Prinzip, das dabei beachtet werden sollte, ist das Verursacherprinzip. Dabei sollen nicht nur die aktuellen Emissionen berücksichtigt werden, sondern auch die historische Verantwortung. Das bedeutet, dass beachtet werden muss, welches Land wie viel CO2 in der Vergangenheit ausgestoßen hat. Dadurch verändert sich das CO2-Budget der Länder im Norden. Teilweise wäre das Budget schon komplett aufgebraucht. Außerdem sollen die Nationen des globalen Nordens die Verantwortung als hauptsächliche Verursacher des Klimawandels auf sich nehmen und für die Kosten von Anpassungsstrategien und klimabedingten Schäden in Ländern des globalen Südens aufkommen müssen (Kurwan 2023).Eine weitere Lösung, die das Problem beheben könnte, ist ein Schuldenerlass. Das führt dazu, dass fossile Energieträger des globalen Südes im Boden bleiben können und die Länder das Geld anders investieren können. Beispielsweise in eine Veränderung, die sozial und ökologisch gerecht wäre. Des Weiteren könnten sie mit dem Geld die Klimaanpassung (mit-)finanzieren. Viele Wissenschaftler*innen oder auch der Internationale Währungsfonds (IWF) haben sich positiv zu dieser Lösung geäußert. Somit könnte den ärmeren Ländern mehr finanzieller Spielraum gegeben werden. Das kann ein Hilfsmittel gegen die Ungerechtigkeit sein. Jedoch kann es diese nicht komplett lindern. Der Norden muss definitiv noch mehr investieren. Denn wie schon weiter oben gesagt, hängt die Klimakrise eng mit der sozialen Gerechtigkeit und somit dem Umweltrassismus zusammen.FazitDer Beitrag beleuchtete das komplexe Thema des Umweltrassismus. Der Begriff wurde Anfang der 1980er Jahre geprägt und bekommt immer mehr Bedeutung. Umweltrassismus hat viele Facetten. Es tritt auf, wenn Umweltprobleme und Umweltverschmutzung unverhältnismäßig stark bestimmte Gemeinschaften betreffen. Meist betrifft es die Menschen, die bereits benachteiligt sind.Umweltrassismus ist also nicht nur eine Frage der Umwelt, sondern auch eine der sozialen Gerechtigkeit, wenn nicht sogar eine Frage von Leben und Tod. Neben BIPoC können auch Geschlechter und Generationen sowie ganze Länder direkt oder indirekt betroffen sein. Häufig trifft es Frauen, Kinder und Einkommensschwache am stärksten.Der globale Norden, der historisch für einen Großteil der CO2-Emissionen verantwortlich ist, leidet weniger unter den Folgen des Klimawandels als der globale Süden. Und das, obwohl der Süden deutlich weniger Emissionen verursacht.Um dem Umweltrassismus entgegenzuwirken, gibt es verschiedene Lösungsansätze. Diese reichen von gemeindebasierten Initiativen und internationaler Zusammenarbeit bis hin zu Gerichtsverfahren und politischen Maßnahmen. Ein wichtiger Schritt dabei ist es, die historische Verantwortung anzuerkennen und den globalen Norden zur Verantwortung zu ziehen. Ein Schuldenerlass für die Länder des globalen Südens könnte ihnen zudem finanzielle Ressourcen verschaffen, die sie in umweltfreundliche Technologie stecken können.Mit diesem Beitrag soll ein Bewusstsein für Umweltrassismus geschaffen werden. Das Ziel ist es, dass weniger CO2 freigesetzt wird, um eine nachhaltige Welt zu schaffen, in der Umweltressourcen und Chancen fair verteilt werden und niemand aufgrund seiner Hautfarbe oder seines sozialen Status benachteiligt wird. Es erfordert Engagement auf individueller und globaler Ebene, um die notwendigen Veränderungen herbeizuführen.LiteraturverzeichnisAdick, Katharina (2022): SPEZIAL: Klimagerechtigkeit – So wird Klimaschutz sozialer (Audio-Podcast). In: Quarks Daily. < https://open.spotify.com/episode/7g3b3BPJO9FHbJS9cHyeiB > (30.09.23).Batiste, Joheneisha (2022): Being Black Causes Cancer: Cancer Alley and Environmental Racism. < https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4092077 > (28.09.23).Bellina, Leonie (2022): Environmental Justice. In: Gottschlich, Daniela/Hackfort, Sarah/Schmitt, Tobias/Von Winterfeld, Uta (Hrsg.): Handbuch Politische Ökologie. Majuskel Medienproduktion GmbH: Wetzlar. S. 63-78.Bendix, Daniel (2015): Entwicklung. In: Arndt, Susan/Ofuatey-Alazard, Nadja (Hrsg.): Wie Rassismus aus Wörtern spricht. (K)Erben des Kolonialismus im Wissensarchiv deutscher Sprache. Unrast: Münster, S. 272-278.D. Bullard, Robert/Mohai, Paul/Saha, Robin/Wright, Beverly (2007): Toxic Wastes and Race at Twenty. 1987-2007. A Report Prepared for the United Chruch of Christ Justice & Witness Ministeries. < http://d3n8a8pro7vhmx.cloudfront.net/unitedchurchofchrist/legacy_url/7987/toxic-wastes-and-race-at-twenty-1987-2007.pdf?1418432785 > (27.09.2023).Deutsche Gesellschaft für die Vereinten Nationen (DGVN) (2016): Klimagerechtigkeit und Geschlecht: Warum Frauen besonders anfällig für Klimawandel & Naturkatastrophen sind. < https://dgvn.de/meldung/klimagerechtigkeit-und-geschlecht-warum-frauen-besonders-anfaellig-fuer-klimawandel-naturkatastroph > (30.09.23).Environmental Noxiousness, Racial Inequities, and Community Health (ENRICH): Welcome to the ENRICH Project < https://www.enrichproject.org/ > (28.09.23).Fachstelle Radikalisierungsprävention und Engagement im Naturschutz (FARN) (o.J.): Von Umweltrassismus zu Klimagerechtigkeit? Koloniale Kontinuitäten in der Klimakrise. < https://www.nf-farn.de/umweltrassismus-klimagerechtigkeit-koloniale-kontinuitaeten-klimakrise > (28.09.23). 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S. 187-194.Kurwan, Jenny (2023): Klimagerechtigkeit. < https://www.bpb.de/themen/klimawandel/dossier-klimawandel/515255/klimagerechtigkeit/ >Öztürk, Asiye (2012): Editorial. In: Aus Politik und Zeitgeschichte. Kolonialismus. (44-45). S. 2Schmidt, Sarah (2023): Krebskrank am Öl-Delta. < https://www.tagesschau.de/ausland/amerika/krebs-diskriminierung-usa-100.html > (30.09.23).United Church of Christ (2023): A Movement Is Born: Environmental Justice and the UCC. < https://www.ucc.org/what-we-do/justice-local-church-ministries/justice/faithful-action-ministries/environmental-justice/a_movement_is_born_environmental_justice_and_the_ucc/ > (27.09.2023).Warda, Johanna (2020): Ist der Klimawandel rassistisch? Die einen produzieren die Klimakatastrophe, die anderen baden sie aus – diese Annahme beschreibt der Begriff "Klimarassismus". Woher kommt er und was ist dran? < https://www.fluter.de/klimawandel-ist-ungerecht-verteilt > (27.09.2023).Yonetani, Michelle (2015): Global Estimates 2015. 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Genome-wide association studies (GWAS) have identified more than 100 genetic variants contributing to BMI, a measure of body size, or waist-to-hip ratio (adjusted for BMI, WHRadjBMI), a measure of body shape. Body size and shape change as people grow older and these changes differ substantially between men and women. To systematically screen for age-and/or sex-specific effects of genetic variants on BMI and WHRadjBMI, we performed meta-analyses of 114 studies (up to 320,485 individuals of European descent) with genome-wide chip and/or Metabochip data by the Genetic Investigation of Anthropometric Traits (GIANT) Consortium. Each study tested the association of up to similar to 2.8M SNPs with BMI and WHRadjBMI in four strata (men 50y, women 50y) and summary statistics were combined in stratum-specific meta-analyses. We then screened for variants that showed age-specific effects (G x AGE), sex-specific effects (G x SEX) or age-specific effects that differed between men and women (G x AGE x SEX). For BMI, we identified 15 loci (11 previously established for main effects, four novel) that showed significant (FDR= 50y). No sex-dependent effects were identified for BMI. For WHRadjBMI, we identified 44 loci (27 previously established for main effects, 17 novel) with sex-specific effects, of which 28 showed larger effects in women than in men, five showed larger effects in men than in women, and 11 showed opposite effects between sexes. No age-dependent effects were identified for WHRadjBMI. This is the first genome-wide interaction meta-analysis to report convincing evidence of age-dependent genetic effects on BMI. In addition, we confirm the sex-specificity of genetic effects on WHRadjBMI. These results may providefurther insights into the biology that underlies weight change with age or the sexually dimorphism of body shape. ; Funding: Funding for this study was provided by the Aarne Koskelo Foundation; the Aase and Ejner Danielsens Foundation; the Academy of Finland (40758, 41071, 77299, 102318, 104781, 117787, 117844, 118590, 120315, 121584, 123885, 124243, 124282, 126925, 129269, 129293, 129378, 130326, 134309, 134791, 136895, 139635, 211497, 263836, 263924, 1114194, 24300796); the Agency for Health Care Policy Research (HS06516); the Agency for Science, Technology and Research of Singapore (A*STAR); the Ahokas Foundation; the ALF/LUA research grant in Gothenburg; the ALK-Abello A/S (Horsholm, Denmark), Timber Merchant Vilhelm Bangs Foundation, MEKOS Laboratories Denmark; the Althingi (the Icelandic Parliament); the American Heart Association (AHA; 13POST16500011); the ANR ("Agence Nationale de la 359 Recherche"); the Ark (NHMRC Enabling Facility); the Arthritis Research UK (19542, 18030); the AstraZeneca; the Augustinus Foundation; the Australian National Health and Medical Research Council (NHMRC; 241944, 389875, 389891, 389892, 389938, 442915, 442981, 496739, 496688, 552485, 613672, 613601 and 1011506); the Australian Research Council (ARC; DP0770096 and DP1093502); the Becket Foundation; the bi-national BMBF/ANR funded project CARDomics (01KU0908A); the Biobanking and Biomolecular Resources Research Infrastructure (BBMRINL; 184.021.007, CP 32); the Biocentrum Helsinki; the Boehringer Ingelheim Foundation; the British Heart Foundation (RG/10/12/28456, SP/04/ 002); the Canadian Institutes for Health Reseaerch (FRCN-CCT-83028); the Cancer Research UK (C490/A10124, C490/A10119); the Center for Medical Systems Biology (CMSB; NWO Genomics); the Centers for Disease Control and Prevention and Association of Schools of Public Health (1734, S043, S3486); the Centre of Excellence Baden-Wurttemberg Metabolic Disorders; the Chief Scientist Office of the Scottish Government; the Clinical Research Facility at Guys & St Thomas NHS Foundation Trust; the Contrat de Projets Etat-Region (CPER); the Croatian Science Council (Grant no. 8875); the CVON (GENIUS); the Danish Agency for Science, Technology and Innovation; the Danish Centre for Health Technology Assessment, Novo Nordisk Inc.; the Danish Council for Independent Research (DFF 1333-00124); the Danish Diabetes Association; Danish Heart Foundation; the Danish Medical Research Council; the Danish Ministry of Internal Affairs and Health; the Danish National Research Foundation; the Danish Pharmaceutical Association; Danish Pharmacists Fund; the Danish Research Council; the Deutsche Forschungsgemeinschaft; the Diabetes Hilfs-und Forschungsfonds Deutschland (DHFD); the Dr. Robert Pfleger-Stiftung; the Dresden University of Technology Funding Grant, Med Drive; the Dutch Brain Foundation; the Dutch Diabetes Research Foundation; the Dutch Economic Structure Enhancing Fund (FES); the Dutch Kidney Foundation; the Dutch Ministry for Health, Welfare and Sports; the Dutch Ministry of Economic Affairs; the Dutch Ministry of Education, Culture and Science; the Egmont Foundation; the Else Kraner-Fresenius Stiftung (2012_A147, P48/08//A11/08); the Emil Aaltonen Foundation; the Erasmus Medical Center and Erasmus University, Rotterdam; the Estonian Ministry of Science and Education (SF0180142s08); the European Commission (223004, 2004310, DGXII, FP6-EUROSPAN, FP6-EXGENESIS, FP6-LSHG-CT2006-018947, FP6-LSHG-CT-2006-01947, FP6-LSHM- CT-2004-503485, FP6-LSHM-CT-2006037593, FP6-LSHM-CT-2007-037273, FP7-201379, FP7-201668, FP7-279143, FP7-305739, FP7313010, FP7-ENGAGE-HEALTH-F4-2007-201413, FP7-EurHEALTHAgeing-277849, FP7-HEALTH-F42007-201550, HEALTH-2011.2.4.2-2-EU-MASCARA, HEALTH-F2-2008-201865-GEFOS, HEALTH-F7305507 HOMAGE, LSHM-CT-2006-037593, QLG1CT-2001-01252, QLG1-CT-2002-00896, QLG2-CT2002-01254); the European Regional Development Fund (ERDF) and the Wissenschaftsoffensive TMO; the European Regional Development Fund to the Centre of Excellence in Genomics (EXCEGEN; 3.2.0304.11-0312); the European Research Council (ERC; 2011-StG-280559-SEPI, 2011-294713-EPLORE, 230374); the European Science Foundation (ESF; EU/QLRT-2001-01254); the EuroSTRESS project FP-006; the Finlands Slottery Machine Association; the Finnish Centre for Pensions (ETK); the Finnish Cultural Foundation; the Finnish Diabetes Association; the Finnish Diabetes Research Foundation; the Finnish Foundation for Cardiovascular Research; the Finnish Foundation for Pediatric Research; the Finnish Funding Agency for Technology and Innovation (40058/07); the Finnish Medical Society; the Finnish Ministry of Education and Culture (627; 2004-2011); the Finnish Ministry of Health and Social Affairs (5254); the Finnish National Public Health Institute (current National Institute for Health and Welfare); the Finnish Special Governmental Subsidy for Health Sciences; the Finska Lakaresallskapet, Signe and Ane Gyllenberg Foundation; the Flemish League against Cancer, ITEA2 (project Care4Me); the Folkhalsan Research Foundation; the Fonds voor Wetenschappelijk Onderzoek (FWO) Vlaanderen; the Foundation for Life and Health in Finland; the Foundation for Strategic Research (SSF) and the Stockholm County Council (560283); the G. Ph. Verhagen Foundation; the Gene-diet Interactions in Obesity' project (GENDINOB); the Genetic Association Information Network (GAIN); the GENEVA Coordinating Center (U01 HG 004446); the GenomEUtwin (EU/QLRT2001-01254; QLG2-CT-2002-01254); the German Bundesministerium fuer Forschung und Technology (01 AK 803 A-H, 01 IG 07015 G); the German Diabetes Association; the German Ministry of Cultural Affairs; the German Federal Ministry of Education and Research (BMBF; 03IS2061A, 03ZIK012, 01ZZ9603, 01ZZ0103, 01ZZ0403); the German National Genome Research Network (NGFN-2 and NGFN-plus); the German Research Council (SFB1052 "Obesity mechanisms"); the Great Wine Estates of the Margaret River region of Western Australia; the Greek General Secretary of Research and Technology research grant (PENED 2003); the Gyllenberg Foundation; the Health Care Centers in Vasa, Narpes and Korsholm; the Health Fund of the Danish Health Insurance Societies; the Helmholtz Zentrum Munchen-German Research Center for Environmental Health; the Helsinki University Central Hospital special government funds (EVO #TYH7215, #TKK2012005, #TYH2012209); the Hjartavernd (the Icelandic Heart Association); the Ib Henriksen Foundation; the Illinois Department of Public Health, and the Translational Genomics Research Institute; the INTERREG IV Oberrhein Program (Project A28); the Interuniversity Cardiology Institute of the Netherlands (ICIN; 09.001); the Italian Ministry of Health "targeted project" (ICS110.1/RF97.71); the Italian National Centre of Research InterOmics PB05_ SP3; the John D and Catherine T MacArthur Foundation Research Networks on Successful Midlife Development and Socio-economic Status and Health; the Johns Hopkins University Center for Inherited Disease Research (CIDR); the Joint grant from Siemens Healthcare, Erlangen, Germany and the Federal State of Mecklenburg-West Pomerania; the Juho Vainio Foundation; the Juselius Foundation (Helsinki, Finland); the Juvenile Diabetes Research Foundation International (JDRF); the KfH Stiftung Praventivmedizin e. V.; the Knut and Alice Wallenberg Foundation; the Kuopio University Hospital; the Leenaards Foundation; the Leiden University Medical Center; the Liv och Halsa; the Local Government Pensions Institution (KEVA); the Lokaal Gezondheids Overleg (LOGO) Leuven and Hageland; the LudwigMaximilians- Universitat, as part of LMUinnovativ; the Lundberg Foundation; the March of Dimes Birth Defects Foundation; the Medical Research Council (G0601966; G0700931; G0000934; G0500539; G0600705; G1002319; G0701863; PrevMetSyn/SALVE; MC_ U106179471; MC_ UU_ 12019/1); the MRC centre for Causal Analyses in Translational Epidemiology (MRC CAiTE); the MRC Centre for Obesity and Related Metabolic Diseases; the MRC Human Genetics Unit; the Medical Research Council of Canada; the Mid-Atlantic Nutrition and Obesity Research Center (P30 DK072488); the Ministry of the Flemish Community, Brussels, Belgium (G. 0881.13 and G. 0880. 13); the MIUR-CNR Italian Flagship Project; the Montreal Heart Institute Foundation; the Munich Center of Health Sciences (MC Health); the Municipal Health Care Center and Hospital in Jakobstad; the Narpes Health Care Foundation; the National Alliance for Research on Schizophrenia and Depression (NARSAD); the National Cancer Institute (CA047988); the National Center for Advancing Translational Sciences (UL1TR000124); the National Center for Research Resources (U54RR020278); the National Heart, Lung and Blood Institute (NHLBI, 1RL1MH083268-01, 5R01HL087679-02, HHSN268200800007C, HHSN268201200036C, HL043851, HL080467, HL087647, HL36310, HL45670, N01HC25195, N01HC55015, N01HC55016, N01HC55018, N01HC55019, N01HC55020, N01HC55021, N01HC55022, N01HC55222, N01HC85079, N01HC85080, N01HC85081, N01HC85082, N01HC85083, N01HC85086, N02HL64278, R01HL086694, R01HL087641, R01HL087652, R01HL087676, R01HL59367, R01HL103612, R01HL105756, R01HL120393, U01HL080295); the National Human Genome Research Institute (NHGRI, U01HG004402); the National Institute for Health and Welfare (THL); the National Institute for Health Research (NIHR, RP-PG-0407-10371); the National Institute of Allergy and Infectious Diseases (NIAID); the National Institute of Child Health and Human Development (NICHD); the National Institute of Diabetes and Digestive and Kidney Disease (NIDDKDRC, 1R01DK8925601, DK063491, R01DK089256, P30 DK072488); the National Institute of Food and Agriculture (2007-35205-17883); the National Institute of Neurological Disorders and Stroke (NINDS); the National Institute on Aging (NIA; 263-MA-410953, 263-MD-821336, 263-MD-9164, AG023629, AG13196, NO1AG12109, P30AG10161, R01AG15819, R01AG17917, R01AG023629, R01AG30146); the National Institute of Arthritis and Musculoskeletal and Skin Diseases (5-P60-AR30701, 5-P60-AR49465-03); the National Institutes of Health (NIH; 1R01DK8925601, 1RC2MH089951, 1RC2MH089995, 1Z01HG000024, 2T32 HL 00705536, 5R01DK075681, 5R01MH63706: 02, AA014041, AA07535, AA10248, AA13320, AA13321, AA13326, AG028555, AG08724, AG04563, AG10175, AG08861, DA12854, DK046200, DK091718, F32AR059469, HG002651, HHSN268200625226C, HHSN268200782096C, HL084729, MH081802, N01AG12100, N01HG65403, R01AG011101, R01AG030146, R01D0042157-01A, R01DK062370, R01DK072193, R01DK093757, R01DK075787, R01DK075787, R01HL71981, R01MH59565, R01MH59566, R01MH59571, R01MH59586, R01MH59587, R01MH59588, R01MH60870, R01MH60879, R01MH61675, R01MH67257, R01MH81800, R01NS45012, U01066134, U01CA098233, U01DK062418, U01GM074518, U01HG004423, U01HG004436, U01HG004438, U01HL072515-06, U01HL105198, U01HL84756, U01MH79469, U01MH79470, U01NS069208-01, UL1RR025005); the NIHR Biomedical Research Centre based at Guy's and St Thomas' NHS Foundation Trust; the NIHR Cambridge Biomedical research Centre; the Netherlands Heart Foundation (2001 D 032); the Netherlands Organisation for Scientific Research (NWO; Geestkracht program grant 10-000-1002; 050-060-810; 100-001-004; 175.010.2003.005; 175.010.2005.011; 175.010.2007. 006; 261-98-710; 40-0056-98-9032; 400-05-717; 452-04-314; 452-06-004; 480-01-006; 480-04-004; 480-05-003; 480-07-001; 481-08-013; 60-60600-97-118; 904-61-090; 904-61-193; 911-03012; 985-10-002; Addiction-31160008; GB-MW 94038- 011; SPI 56-464-14192); the Netherlands Organization for the Health Research and Development (ZonMw; 91111025); the Nordic Center of Excellence in Disease Genetics; the Nordic Centre of Excellence on Systems biology in controlled dietary interventions and cohort studies, SYSDIET (070014); the Northern Netherlands Collaboration of Provinces (SNN); the Novo Nordisk Foundation; the Office of Research and Development, Medical Research Service, and the Baltimore Geriatrics Research, Education, and Clinical Center of the Department of Veterans Affairs; the Ollqvist Foundation; the Paavo Nurmi Foundation; the Pahlssons Foundation; the Paivikki and Sakari Sohlberg Foundation; the Perklen Foundation; the Republic of Croatia Ministry of Science, Education and Sports research (108-1080315-0302); the Research Centre for Prevention and Health, the Capital Region of Denmark; the Research Foundation of Copenhagen County; the Research Institute for Diseases in the Elderly (014-93-015; RIDE2); the Reynold's Foundation; the Rotterdam Oncologic Thoracic Study Group, Erasmus Trust Fund, Foundation against Cancer; the Royal Swedish Academy of Science; the Russian Foundation for Basic Research (NWO-RFBR 047.017.043); the Rutgers University Cell and DNA Repository cooperative agreement (NIMH U24 MH068457-06); the Samfundet Folkhalsan; the Sigrid Juselius Foundation; the Social Insurance Institution of Finland, Kuopio, Tampere and Turku University Hospital Medical Funds (9M048, 9N035); the Social Ministry of the Federal State of Mecklenburg-West Pomerania; the Societe Francophone du 358 Diabste (SFD); the South Tyrolean Sparkasse Foundation; the Stichting Nationale Computerfaciliteiten (National Computing Facilities Foundation, NCF); the Strategic Cardiovascular Programme of Karolinska Institutet and the Stockholm County Council (560183); the Susan G. Komen Breast Cancer Foundation; the Swedish Cancer Society; the Swedish Cultural Foundation in Finland; the Swedish Diabetes Association; the Swedish Diabetes Foundation (grant no. 2013-024); the Swedish Foundation for Strategic Research (SSF; ICA08-0047); the Swedish HeartLung Foundation (20120197); the Swedish Medical Research Council (K2007-66X-20270-01-3, 20121397); the Swedish Ministry for Higher Education; the Swedish Research Council (8691, M-2005-1112, 2009-2298); the Swedish Society for Medical Research; the Swiss National Science Foundation (31003A-143914, 3200B0105993, 3200B0-118308, 33CSCO-122661, 33CS30-139468, 33CS30148401); SystemsX. ch (51RTP0_151019); the Tampere Tuberculosis Foundation; the TEKES (70103/06, 40058/07); the The Paul Michael Donovan Charitable Foundation; the Torsten and Ragnar Sderberg Foundation; the Umea Medical Research Foundation; the United Kingdom NIHR Cambridge Biomedical Research Centre; the Universities and Research of the Autonomous Province of Bolzano, South Tyrol; the University Hospital of Regensburg (ReForM A, ReForM C); the University Hospital Oulu, Biocenter, University of Oulu, Finland (75617); the University Medical Center Groningen; the University of Groningen; the University of Maryland General Clinical Research Center (M01RR16500, AG000219); the University of Tartu (SP1GVARENG); the University of Tromso, Norwegian Research Council (185764); the Vasterbottens Intervention Programme; the Velux Foundation; the VU University Institute for Health and Care Research (EMGO+) and Neuroscience Campus Amsterdam (NCA); the Wellcome Trust (064890, 068545/Z/02, 076113/B/04/Z, 077016/Z/05/Z, 079895, 084723/Z/08/Z, 086596/Z/ 08/Z, 088869/B/09/Z, 089062, 090532, 098017, 098051, 098381); the Western Australian DNA Bank (NHMRC Enabling Facility); the Yrjo Jahnsson Foundation (56358); and the Zorg Onderzoek Nederland-Medische Wetenschappen, KWF Kankerbestrijding, Stichting Centraal Fonds Reserves van voormalig Vrijwillige Ziekenfondsverzekeringen. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript. More details of acknowledgements can be found in S2 Text.
HapMap imputed genome-wide association studies (GWAS) have revealed >50 loci at which common variants with minor allele frequency >5% are associated with kidney function. GWAS using more complete reference sets for imputation, such as those from The 1000 Genomes project, promise to identify novel loci that have been missed by previous efforts. To investigate the value of such a more complete variant catalog, we conducted a GWAS meta-analysis of kidney function based on the estimated glomerular filtration rate (eGFR) in 110,517 European ancestry participants using 1000 Genomes imputed data. We identified 10 novel loci with p-value < 5 × 10−8 previously missed by HapMap-based GWAS. Six of these loci (HOXD8, ARL15, PIK3R1, EYA4, ASTN2, and EPB41L3) are tagged by common SNPs unique to the 1000 Genomes reference panel. Using pathway analysis, we identified 39 significant (FDR < 0.05) genes and 127 significantly (FDR < 0.05) enriched gene sets, which were missed by our previous analyses. Among those, the 10 identified novel genes are part of pathways of kidney development, carbohydrate metabolism, cardiac septum development and glucose metabolism. These results highlight the utility of re-imputing from denser reference panels, until whole-genome sequencing becomes feasible in large samples. ; 3C. Three-City Study. The work was made possible by the participation of the control subjects, the patients, and their families. We thank Dr. Anne Boland (CNG) for her technical help in preparing the DNA samples for analyses. This work was supported by the National Foundation for Alzheimer's disease and related disorders, the Institut Pasteur de Lille and the Centre National de Génotypage. The 3C Study was performed as part of a collaboration between the Institut National de la Santé et de la Recherche Médicale (Inserm), the Victor Segalen Bordeaux II University and Sanofi-Synthélabo. The Fondation pour la Recherche Médicale funded the preparation and initiation of the study. The 3C Study was also funded by the Caisse Nationale Maladie des Travailleurs Salariés, Direction Générale de la Santé, MGEN, Institut de la Longévité, Agence Française de Sécurité Sanitaire des Produits de Santé, the Aquitaine and Bourgogne Regional Councils, Fondation de France and the joint French Ministry of Research/INSERM "Cohortes et collections de données biologiques" programme. Lille Génopôle received an unconditional grant from Eisai. AGES. Age, Gene/Environment Susceptibility-Reykjavik Study. This study has been funded by NIH contract N01-AG-1-2100, the NIA Intramural Research Program, Hjartavernd (the Icelandic Heart Association), and the Althingi (the Icelandic Parliament). The study is approved by the Icelandic National Bioethics Committee, VSN: 00-063. The researchers are indebted to the participants for their willingness to participate in the study. ARIC. Atherosclerosis Risk in Communities study. The ARIC study is carried out as a collaborative study supported by National Heart, Lung, and Blood Institute contracts (HHSN268201100005C, HHSN268201100006C, HHSN268201100007C, HHSN268201100008C, HHSN268201100009C, HHSN268201100010C, HHSN268201100011C, and HHSN268201100012C), R01HL087641, R01HL59367 and R01HL086694; National Human Genome Research Institute contract U01HG004402; and National Institutes of Health contract HHSN268200625226C. The authors thank the staff and participants of the ARIC study for their important contributions. Infrastructure was partly supported by Grant Number UL1RR025005, a component of the National Institutes of Health and NIH Roadmap for Medical Research. This work as well as YL and AK were supported by the German Research Foundation (KO 3598/2-1, KO 3598/3-1 and CRC1140 A05 to AK). ASPS. Austrian Stroke Prevention Study. The research reported in this article was funded by the Austrian Science Fond (FWF) grant number P20545-P05 and P13180. The Medical University of Graz supports the databank of the ASPS. The authors thank the staff and the participants of the ASPS for their valuable contributions. We thank Birgit Reinhart for her long-term administrative commitment and Ing Johann Semmler for the technical assistance at creating the DNA-bank. BMES. Blue Mountains Eye Study. The BMES has been supported by the Australian RADGAC grant (1992- 94) and Australian National Health & Medical Research Council, Canberra Australia (Grant Nos: 974159, 211069, 991407, 457349). The GWAS studies of Blue Mountains Eye Study population are supported by the Australian National Health & Medical Research Council (Grant Nos: 512423, 475604, 529912) and the Wellcome Trust, UK (2008). EGH and JJW are funded by the Australian National Health & Medical Research Council Fellowship Schemes. CILENTO. Italian Network on Genetic Isolates – Cilento. We thank the populations of Cilento for their participation in the study. The study was supported by the Italian Ministry of Universities and CNR 36 (PON03PE_00060_7, Interomics Flagship Project), the Assessorato Ricerca Regione Campania, the Fondazione con il SUD (2011-PDR-13), and the Istituto Banco di Napoli - Fondazione to MC. COLAUS. The CoLaus authors thank Yolande Barreau, Mathieu Firmann, Vladimir Mayor, Anne-Lise Bastian, Binasa Ramic, Martine Moranville, Martine Baumer, Marcy Sagette, Jeanne Ecoffey and Sylvie Mermoud for data collection. The CoLaus study received financial contributions from GlaxoSmithKline, the Faculty of Biology and Medicine of Lausanne, the Swiss National Science Foundation (33CSCO- 122661, 3200BO-111361/2, 3100AO-116323/1, 310000-112552). The computations for CoLaus imputation were performed in part at the Vital-IT center for high performance computing of the Swiss Institute of Bioinformatics. We thank Vincent Mooser for his contribution to the CoLaus study. EGCUT. Estonian Genome Center University of Tartu. EGCUT received financing from FP7 grants (278913, 306031, 313010) and targeted financing from Estonian Government (SF0180142s08). EGCUT studies were covered from Infra-structure grant no. 3.2.0304.11-0312 funded mostly by the European Regional Development Fund, Center of Excellence in Genomics (EXCEGEN) and University of Tartu (SP1GVARENG). We acknowledge EGCUT technical personnel, especially Mr V. Soo and S. Smit. Data analyses were carried out in part in the High Performance Computing Center of the University of Tartu. FamHS. Family Heart Study. The FHS work was supported in part by NIH grants 5R01HL08770003, 5R01HL08821502 (Michael A. Province) from the NHLBI and 5R01DK07568102, 5R01DK06833603 from the NIDDK (I.B.B.). The authors thank the staff and participants of the FamHS for their important contributions. FHS. Framingham Heart Study. This research was conducted in part using data and resources from the Framingham Heart Study of the National Heart Lung and Blood Institute of the National Institutes of Health and Boston University School of Medicine. The analyses reflect intellectual input and resource development from the Framingham Heart Study investigators participating in the SNP Health Association Resource (SHARe) project. This work was partially supported by the National Heart, Lung and Blood Institute's Framingham Heart Study (Contract No. N01-HC-25195) and its contract with Affymetrix, Inc. for genotyping services (Contract No. N02-HL-6-4278). A portion of this research utilized the Linux Cluster for Genetic Analysis (LinGA-II) funded by the Robert Dawson Evans Endowment of the Department of Medicine at Boston University School of Medicine and Boston Medical Center. GENDIAN. GENetics of DIAbetic Nephropathy study. The support of the physicians, the patients, and the staff of the Diabetes Zentrum Mergentheim (Head: Prof. Dr. Thomas Haak), the diabetes outpatient clinic Dr Nusser - Dr Kreisel, the dialysis centers KfH Amberg, KfH Bayreuth, KfH Deggendorf, KfH Donauwörth, KfH Freising, KfH Freyung, KfH Fürth, KfH Hof, KfH Ingolstadt, KfH Kelheim, KfH München Elsenheimerstraße, KfH München-Schwabing, KfH Neumarkt, KfH Neusäß, KfH Oberschleißheim, KfH Passau, KfH Plauen, KfH Regensburg Günzstraße, KfH Regensburg Caritas-Krankenhaus, KfH Straubing, KfH Sulzbach-Rosenberg, KfH Weiden, Dialysezentrum Augsburg Dr. Kirschner, Dialysezentrum Bad Alexandersbad, KfH Bamberg, Dialysezentrum Emmering, Dialysezentrum Klinikum Landshut, Dialysezentrum Landshut, Dialysezentrum Pfarrkirchen, Dialysezentrum Schwandorf, Dr. Angela Götz, the medical doctoral student Johanna Christ and the Study Nurse Ingrid Lugauer. The expert technical assistance of Claudia Strohmeier is acknowledged. Phenotyping was funded by the Dr. Robert PflegerStiftung (Dr Carsten A. Böger), the MSD Stipend Diabetes (Dr Carsten A. Böger) and the University Hospital of Regensburg (intramural grant ReForM A to Dr. A. Götz, ReForM C to Dr. Carsten Böger). Genome-wide genotyping was funded by the KfH Stiftung Präventivmedizin e.V. (Dr. Carsten A. Böger, Dr. Jens Brüning), the Else Kröner-Fresenius-Stiftung (2012_A147 to Dr Carsten A. Böger and Dr Iris M. Heid) and the University Hospital Regensburg (Dr Carsten A. Böger). Data analysis was funded by the Else 37 Kröner-Fresenius Stiftung (Dr. Iris M. Heid and Dr. Carsten A. Böger: 2012_A147; Dr. Carsten A. Böger and Dr. Bernhard K. Krämer: P48/08//A11/08). GENDIAN Study Group: Mathias Gorski, Iris M. Heid, Bernhard K. Krämer, Myriam Rheinberger, Michael Broll, Alexander Lammert, Jens Brüning, Matthias Olden, Klaus Stark, Claudia Strohmeier, Simone Neumeier, Sarah Hufnagel, Petra Jackermeier, Emilia Ruff, Johanna Christ, Peter Nürnberg, Thomas Haak, Carsten A. Böger. HABC. Health Aging and Body Composition Study. The HABC study was funded by the National Institutes of Aging. This research was supported by NIA contracts N01AG62101, N01AG62103, and N01AG62106. The genome-wide association study was funded by NIA grant 1R01AG032098-01A1 to Wake Forest University Health Sciences and genotyping services were provided by the Center for Inherited Disease Research (CIDR). CIDR is fully funded through a federal contract from the National Institutes of Health to The Johns Hopkins University, contract number HHSN268200782096C. This research was supported in part by the Intramural Research Program of the NIH, National Institute on Aging. HCS. Hunter Community Study. The University of Newcastle provided $300,000 from its Strategic Initiatives Fund, and $600,000 from the Gladys M Brawn Senior Research Fellowship scheme; Vincent Fairfax Family Foundation, a private philanthropic trust, provided $195,000; The Hunter Medical Research Institute provided media support during the initial recruitment of participants; and Dr Anne Crotty, Prof. Rodney Scott and Associate Prof. Levi provided financial support towards freezing costs for the long-term storage of participant blood samples. The authors would like to thank the men and women participating in the HCS as well as all the staff, investigators and collaborators who have supported or been involved in the project to date. A special thank you should go to Alison Koschel and Debbie Quain who were instrumental in setting up the pilot study and initial phase of the project. HPFS. Health Professionals Follow-Up Study. The NHS/HPFS type 2 diabetes GWAS (U01HG004399) is a component of a collaborative project that includes 13 other GWAS (U01HG004738, U01HG004422, U01HG004402, U01HG004729, U01HG004726, U01HG004735, U01HG004415, U01HG004436, U01HG004423, U01HG004728, RFAHG006033; National Institute of Dental & Craniofacial Research: U01DE018993, U01DE018903) funded as part of the Gene Environment-Association Studies (GENEVA) under the NIH Genes, Environment and Health Initiative (GEI). Assistance with phenotype harmonization and genotype cleaning, as well as with general study coordination, was provided by the GENEVA Coordinating Center (U01HG004446). Assistance with data cleaning was provided by the National Center for Biotechnology Information. Genotyping was performed at the Broad Institute of MIT and Harvard, with funding support from the NIH GEI (U01HG04424), and Johns Hopkins University Center for Inherited Disease Research, with support from the NIH GEI (U01HG004438) and the NIH contract "High throughput genotyping for studying the genetic contributions to human disease"(HHSN268200782096C). Additional funding for the current research was provided by the National Cancer Institute (P01CA087969, P01CA055075), and the National Institute of Diabetes and Digestive and Kidney Diseases (R01DK058845). We thank the staff and participants of the NHS and HPFS for their dedication and commitment. INGI-CARLANTINO. Italian Network on Genetic Isolates – Carlantino. We thank Anna Morgan and Angela D'Eustacchio for technical support. We are grateful to the municipal administrators for their collaboration on the project and for logistic support. We thank all participants to this study. INGI-FVG. Italian Network on Genetic Isolates – Friuli Venezia-Giulia. We thank Anna Morgan and Angela D'Eustacchio for technical support. We are grateful to the municipal administrators for their collaboration on the project and for logistic support. We thank all participants to this study. 38 INGI-VAL BORBERA. Italian Network on Genetic Isolates – Val Borbera. We thank the inhabitants of the Val Borbera who made this study possible, the local administrations and the ASL-Novi Ligure (Al) for support. We also thank Clara Camaschella for data collection supervision and organization of the clinical data collection, Fiammetta Vigano` for technical help and Corrado Masciullo for building the analysis platform. The research was supported by funds from Compagnia di San Paolo, Torino, Italy; Fondazione Cariplo, Italy and Ministry of Health, Ricerca Finalizzata 2008 and 2011/2012, CCM 2010, PRIN 2009 and Telethon, Italy to DT. IPM. Mount Sinai BioMe Biobank Program. The Mount Sinai BioMe Biobank Program is supported by The Andrea and Charles Bronfman Philanthropies. KORA-F3 and F4. The genetic epidemiological work was funded by the NIH subcontract from the Children's Hospital, Boston, US, (H.E.W., I.M.H, prime grant 1 R01 DK075787-01A1), the German National Genome Research Net NGFN2 and NGFNplus (H.E.W. 01GS0823; WK project A3, number 01GS0834), the Munich Center of Health Sciences (MC Health) as part of LMUinnovativ, and by the Else KrönerFresenius-Stiftung (P48/08//A11/08; C.A.B., B.K.K; 2012_A147 to CAB and IMH.). The Genetic Epidemiology at the University of Regensburg received financial contributions from the BMBF (01ER1206 and 01ER1507). The kidney parameter measurements in F3 were funded by the Else Kröner-FreseniusStiftung (C.A.B., B.K.K.) and the Regensburg University Medical Center, Germany; in F4 by the University of Ulm, Germany (W.K.). Genome wide genotyping costs in F3 and F4 were in part funded by the Else Kröner-Fresenius-Stiftung (C.A.B., B.K.K.). De novo genotyping in F3 and F4 were funded by the Else Kröner-Fresenius-Stiftung (C.A.B., B.K.K.). The KORA research platform and the MONICA Augsburg studies were initiated and financed by the Helmholtz Zentrum München, German Research Center for Environmental Health, by the German Federal Ministry of Education and Research and by the State of Bavaria. Genotyping was performed in the Genome Analysis Center (GAC) of the Helmholtz Zentrum München. The LINUX platform for computation were funded by the University of Regensburg for the Department of Epidemiology and Preventive Medicine at the Regensburg University Medical Center. LIFELINES. The authors wish to acknowledge the services of the Lifelines Cohort Study, the contributing research centers delivering data to Lifelines, and all the study participants. Lifelines group authors: Behrooz Z Alizadeh1 , H Marike Boezen1 , Lude Franke2 , Pim van der Harst3 , Gerjan Navis4 , Marianne Rots5 , Harold Snieder1 , Morris Swertz2 , Bruce HR Wolffenbuttel6 and Cisca Wijmenga2 1. Department of Epidemiology, University of Groningen, University Medical Center Groningen, The Netherlands 2. Department of Genetics, University of Groningen, University Medical Center Groningen, The Netherlands 3. Department of Cardiology, University of Groningen, University Medical Center Groningen, The Netherlands 4. Department of Internal Medicine, Division of Nephrology, University of Groningen, University Medical Center Groningen, The Netherlands 5. Department of Medical Biology, University of Groningen, University Medical Center Groningen, The Netherlands 6. Department of Endocrinology, University of Groningen, University Medical Center Groningen, The Netherlands MESA. Multi-Ethnic Study of Atherosclerosis. University of Washington (N01-HC-95159),Regents of the University of California (N01-HC-95160), Columbia University (N01-HC-95161), Johns Hopkins University 39 (N01-HC-95162, N01-HC-95168), University of Minnesota (N01-HC-95163), Northwestern University (N01-HC-95164), Wake Forest University (N01-HC-95165), University of Vermont (N01-HC-95166), New England Medical Center (N01-HC-95167), Harbor-UCLA Research and Education Institute (N01-HC- 95169), Cedars-Sinai Medical Center (R01-HL-071205), University of Virginia (subcontract to R01-HL- 071205) MICROS. Microisolates in South Tyrol study. We owe a debt of gratitude to all participants. We thank the primary care practitioners R. Stocker, S. Waldner, T. Pizzecco, J. Plangger, U. Marcadent and the personnel of the Hospital of Silandro (Department of Laboratory Medicine) for their participation and collaboration in the research project. In South Tyrol, the study was supported by the Ministry of Health and Department of Educational Assistance, University and Research of the Autonomous Province of Bolzano, the South Tyrolean Sparkasse Foundation, and the European Union framework program 6 EUROSPAN project (contract no. LSHG-CT-2006-018947). NESDA. The Netherlands Study of Depression and Anxiety. The infrastructure for the NESDA study is funded through the Geestkracht programme of the Dutch Scientific Organization (ZON-MW, grant number 10-000-1002) and matching funds from participating universities and mental health care organizations. Genotyping in NESDA was funded by the Genetic Association Information Network (GAIN) of the Foundation for the US National Institutes of Health. NHS. Nurses' Health Study. The NHS/HPFS type 2 diabetes GWAS (U01HG004399) is a component of a collaborative project that includes 13 other GWAS (U01HG004738, U01HG004422, U01HG004402, U01HG004729, U01HG004726, U01HG004735, U01HG004415, U01HG004436, U01HG004423, U01HG004728, RFAHG006033; National Institute of Dental & Craniofacial Research: U01DE018993, U01DE018903) funded as part of the Gene Environment-Association Studies (GENEVA) under the NIH Genes, Environment and Health Initiative (GEI). Assistance with phenotype harmonization and genotype cleaning, as well as with general study coordination, was provided by the GENEVA Coordinating Center (U01HG004446). Assistance with data cleaning was provided by the National Center for Biotechnology Information. Genotyping was performed at the Broad Institute of MIT and Harvard, with funding support from the NIH GEI (U01HG04424), and Johns Hopkins University Center for Inherited Disease Research, with support from the NIH GEI (U01HG004438) and the NIH contract "High throughput genotyping for studying the genetic contributions to human disease"(HHSN268200782096C). The NHS renal function and albuminuria work was supported by DK66574. Additional funding for the current research was provided by the National Cancer Institute (P01CA087969, P01CA055075), and the National Institute of Diabetes and Digestive and Kidney Diseases (R01DK058845). We thank the staff and participants of the NHS and HPFS for their dedication and commitment. NSPHS. The Northern Swedish Population Health Study. The NSPHS was supported by grants from the Swedish Natural Sciences Research Council, the European Union through the EUROSPAN project (contract no. LSHG-CT-2006-018947), the Foundation for Strategic Research (SSF) and the Linneaus Centre for Bioinformatics (LCB). We are also grateful for the contribution of samples from the Medical Biobank in Umeå and for the contribution of the district nurse Svea Hennix in the Karesuando study. RS-I. The Rotterdam Study. The GWA study was funded by the Netherlands Organisation of Scientific Research NWO Investments (nr. 175.010.2005.011, 911-03-012), the Research Institute for Diseases in the Elderly (014-93-015; RIDE2), the Netherlands Genomics Initiative (NGI)/Netherlands Consortium for Healthy Aging (NCHA) project nr. 050-060-810. We thank Pascal Arp, Mila Jhamai, Dr Michael 40 Moorhouse, Marijn Verkerk, and Sander Bervoets for their help in creating the GWAS database. The Rotterdam Study is funded by Erasmus Medical Center and Erasmus University, Rotterdam, Netherlands Organization for the Health Research and Development (ZonMw), the Research Institute for Diseases in the Elderly (RIDE), the Ministry of Education, Culture and Science, the Ministry for Health, Welfare and Sports, the European Commission (DG XII), and the Municipality of Rotterdam. The authors are very grateful to the participants and staff from the Rotterdam Study, the participating general practitioners and the pharmacists. We would like to thank Dr. Tobias A. Knoch, Luc V. de Zeeuw, Anis Abuseiris, and Rob de Graaf as well as their institutions the Erasmus Computing Grid, Rotterdam, The Netherlands, and especially the national German MediGRID and Services@MediGRID part of the German D-Grid, both funded by the German Bundesministerium fuer Forschung und Technology under grants #01 AK 803 A-H and # 01 IG 07015 G, for access to their grid resources. Abbas Dehghan is supported by NWO grant (vici, 918-76-619). SAPALDIA. Swiss Study on Air Pollution and Lung Diseases in Adults. The SAPALDIA Team: Study directorate: T Rochat (p), NM Probst Hensch (e/g), N Künzli (e/exp), C Schindler (s), JM Gaspoz (c) Scientific team: JC Barthélémy (c), W Berger (g), R Bettschart (p), A Bircher (a), O Brändli (p), C Brombach (n), M Brutsche (p), L Burdet (p), M Frey (p), U Frey (pd), MW Gerbase (p), D Gold (e/c/p), E de Groot (c), W Karrer (p), R Keller (p), B Martin (pa), D Miedinger (o), U Neu (exp), L Nicod (p), M Pons (p), F Roche (c), T Rothe (p), E Russi (p), P Schmid-Grendelmeyer (a), A Schmidt-Trucksäss (pa), A Turk (p), J Schwartz (e), D. Stolz (p), P Straehl (exp), JM Tschopp (p), A von Eckardstein (cc), E Zemp Stutz (e). Scientific team at coordinating centers: M Adam (e/g), C Autenrieth (pa), PO Bridevaux (p), D Carballo (c), E Corradi (exp), I Curjuric (e), J Dratva (e), A Di Pasquale (s), E Dupuis Lozeron (s), E Fischer (e), M Germond (s), L Grize (s), D Keidel (s), S Kriemler (pa), A Kumar (g), M Imboden (g), N Maire (s), A Mehta (e), H Phuleria (exp), E Schaffner (s), GA Thun (g) A Ineichen (exp), M Ragettli (e), M Ritter (exp), T Schikowski (e), M Tarantino (s), M Tsai (exp) (a) allergology, (c) cardiology, (cc) clinical chemistry, (e) epidemiology, (exp) exposure, (g) genetic and molecular biology, (m) meteorology, (n) nutrition, (o) occupational health, (p) pneumology, (pa) physical activity, (pd) pediatrics, (s) statistics. Funding: The Swiss National Science Foundation (grants no 33CSCO-134276/1, 33CSCO-108796, 3247BO-104283, 3247BO-104288, 3247BO- 104284, 3247-065896, 3100-059302, 3200-052720, 3200-042532, 4026-028099), the Federal Office for Forest, Environment and Landscape, the Federal Office of Public Health, the Federal Office of Roads and Transport, the canton's government of Aargau, Basel-Stadt, Basel-Land, Geneva, Luzern, Ticino, Valais, and Zürich, the Swiss Lung League, the canton's Lung League of Basel Stadt/ Basel Landschaft, Geneva, Ticino, Valais and Zurich, SUVA, Freiwillige Akademische Gesellschaft, UBS Wealth Foundation, Talecris Biotherapeutics GmbH, Abbott Diagnostics, European Commission 018996 (GABRIEL), Wellcome Trust WT 084703MA. The study could not have been done without the help of the study participants, technical and administrative support and the medical teams and field workers at the local study sites. Local fieldworkers : Aarau: S Brun, G Giger, M Sperisen, M Stahel, Basel: C Bürli, C Dahler, N Oertli, I Harreh, F Karrer, G Novicic, N Wyttenbacher, Davos: A Saner, P Senn, R Winzeler, Geneva: F Bonfils, B Blicharz, C Landolt, J Rochat, Lugano: S Boccia, E Gehrig, MT Mandia, G Solari, B Viscardi, Montana: AP Bieri, C Darioly, M Maire, Payerne: F Ding, P Danieli A Vonnez, Wald: D Bodmer, E Hochstrasser, R Kunz, C Meier, J Rakic, U Schafroth, A Walder. Administrative staff: C Gabriel, R Gutknecht. SHIP and SHIP-TREND. The Study of Health in Pomerania. SHIP is part of the Community Medicine Research net of the University of Greifswald, Germany, which is funded by the Federal Ministry of Education and Research (grants no. 01ZZ9603, 01ZZ0103, and 01ZZ0403), the Ministry of Cultural Affairs as well as the Social Ministry of the Federal State of Mecklenburg-West Pomerania, and the network 41 'Greifswald Approach to Individualized Medicine (GANI_MED)' funded by the Federal Ministry of Education and Research (grant 03IS2061A). Genome-wide data have been supported by the Federal Ministry of Education and Research (grant no. 03ZIK012) and a joint grant from Siemens Healthcare, Erlangen, Germany and the Federal State of Mecklenburg- West Pomerania. The University of Greifswald is a member of the 'Center of Knowledge Interchange' program of the Siemens AG and the Caché Campus program of the InterSystems GmbH. The SHIP authors are grateful to Mario Stanke for the opportunity to use his Server Cluster for the SNP imputation as well as to Holger Prokisch and Thomas Meitinger (Helmholtz Zentrum München) for the genotyping of the SHIP-TREND cohort. TRAILS. TRacking Adolescents' Individual Lives. Trails is a collaborative project involving various departments of the University Medical Center and University of Groningen, the Erasmus University Medical Center Rotterdam, the University of Utrecht, the Radboud Medical Center Nijmegen, and the Parnassia Bavo group, all in the Netherlands. TRAILS has been financially supported by grants from the Netherlands Organization for Scientific Research NWO (Medical Research Council program grant GB-MW 940-38-011; ZonMW Brainpower grant 100-001-004; ZonMw Risk Behavior and Dependence grants 60- 60600-98-018 and 60-60600-97-118; ZonMw Culture and Health grant 261-98-710; Social Sciences Council medium-sized investment grants GB-MaGW 480-01-006 and GB-MaGW 480-07-001; Social Sciences Council project grants GB-MaGW 457-03-018, GB-MaGW 452-04-314, and GB-MaGW 452-06- 004; NWO large-sized investment grant 175.010.2003.005; NWO Longitudinal Survey and Panel Funding 481-08-013); the Sophia Foundation for Medical Research (projects 301 and 393), the Dutch Ministry of Justice (WODC), the European Science Foundation (EuroSTRESS project FP-006), and the participating universities. We are grateful to all adolescents, their parents and teachers who participated in this research and to everyone who worked on this project and made it possible. Statistical analyses were carried out on the Genetic Cluster Computer (http://www.geneticcluster.org), which is financially supported by the Netherlands Scientific Organization (NWO 480-05-003) along with a supplement from the Dutch Brain Foundation. WGHS. Women's Genome Health Study. The WGHS is supported by the National Heart, Lung, and Blood Institute (HL043851 and HL080467) and the National Cancer Institute (CA047988 and UM1CA182913), with collaborative scientific support and funding for genotyping provided by Amgen. YFS. Young Finns Study. The YFS has been financially supported by the Academy of Finland: grants 134309 (Eye), 126925, 121584, 124282, 129378 (Salve), 117787 (Gendi), and 41071 (Skidi), the Social Insurance Institution of Finland, Kuopio, Tampere and Turku University Hospital Medical Funds (grant 9M048 and 9N035 for TeLeht), Juho Vainio Foundation, Paavo Nurmi Foundation, Finnish Foundation of Cardiovascular Research and Finnish Cultural Foundation, Tampere Tuberculosis Foundation and Emil Aaltonen Foundation (T.L). The technical assistance in the statistical analyses by Ville Aalto and Irina Lisinen is acknowledged. ; Peer Reviewed