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AbstractWe sought to investigate the risk of incident major depressive disorder (MDD) attributable to a range of sleep disorders in the Danish population. Data were obtained by linking longitudinal Danish population-based registers. A total of 65,739 individuals who had first onset of depression between 1995 and 2013 were selected as cases. For each case, a set of 20 controls of the same sex, birth month and year and who had not had depression by the date that the case was diagnosed were selected at random form the population (N = 1,307,580 in total). We examined whether there was an increased rate of prior sleep disorders in MDD cases compared to controls using conditional logistic regression. An increased risk of incident depression in cases was found for all sleep disorders analyzed. Highest incidence rate ratios (IRRs) were found for circadian rhythm disorders (IRR = 7.06 [2.78–17.91]) and insomnia of inorganic origin (IRR = 6.76 [4.37–10.46]). The lowest estimated IRR was for narcolepsy (IRR = 2.00 [1.26–3.17]). Those diagnosed with a sleep disorder in the last 6 months were at highest risk of developing depression compared to those with at least 1 year since diagnosis (3.10 vs. 2.36). Our results suggest that having any sleep disorder is a risk factor for incident depression. Depression screening should be considered for patients with sleep disorders, and where possible, long-term follow-up for mental health problems is advisable.

AbstractNick Martin is a pioneer in recognizing the need for large sample size to study the complex, heterogeneous and polygenic disorders of common mental disorders. In the predigital era, questionnaires were mailed to thousands of twin pairs around Australia. Always quick to adopt new technology, Nick's studies progressed to phone interviews and then online. Moreover, Nick was early to recognize the value of collecting DNA samples. As genotyping technologies improved over the years, these twin and family cohorts were used for linkage, candidate gene and genome-wide association studies. These cohorts have underpinned many analyses to disentangle the complex web of genetic and lifestyle factors associated with mental health. With characteristic foresight, Nick is chief investigator of our Australian Genetics of Depression Study, which has recruited 16,000 people with self-reported depression (plus DNA samples) over a time frame of a few months — analyses are currently ongoing. The mantra of sample size, sample size, sample size has guided Nick's research over the last 30 years and continues to do so.

Cytokines and vitamin D both have a role in modulating the immune system, and are also potentially useful biomarkers in mental illnesses such as major depressive disorder (MDD) and schizophrenia. Studying the variability of cytokines and vitamin D in a healthy population sample may add to understanding the association between these biomarkers and mental illness. To assess genetic and environmental contributions to variation in circulating levels of cytokines and vitamin D (25-hydroxy vitamin D: 25(OH)D3), we analyzed data from a healthy adolescent twin cohort (mean age 16.2 years; standard deviation 0.25). Plasma cytokine measures were available for 400 individuals (85 MZ, 115 DZ pairs), dried blood spot sample vitamin D measures were available for 378 individuals (70 MZ, 118 DZ pairs). Heritability estimates were moderate but significant for the cytokines transforming growth factor-β1 (TGF-β1), 0.57 (95% CI 0.26–0.80) and tumor necrosis factor-receptor type 1 (TNFR1), 0.50 (95% CI 0.11–0.63) respectively. Measures of 25(OH)D3 were within normal range and heritability was estimated to be high (0.86, 95% CI 0.61–0.94). Assays of other cytokines did not generate meaningful results. These potential biomarkers may be useful in mental illness, with further research warranted in larger sample sizes. They may be particularly important in adolescents with mental illness where diagnostic uncertainty poses a significant clinical challenge.

Acknowledgments and Disclosures: This work was supported by the Wellcome Trust through a Strategic Award (104036/Z/14/Z). The Chief Scientist Office of the Scottish Government and the Scottish Funding Council provided core support for Generation Scotland. GS:SFHS was funded by a grant from the Scottish Government Health Department, Chief Scientist Office (CZD/16/6). We are grateful to the families who took part in GS:SFHS, the general practitioners and Scottish School of Primary Care for their help in recruiting them, and the whole Generation Scotland team, which includes academic researchers, clinic staff members, laboratory technicians, clerical workers, information technology staff members, statisticians, and research managers. AMM has previously received grant support from Pfizer, Lilly, and Janssen. These studies are not connected to the current investigation. YZ acknowledges support from the China Scholarship Council. T-KC and AMM acknowledge with gratitude the financial support received for this work from the Dr Mortimer and Theresa Sackler Foundation. PAT, DJP, IJD, and AMM are members of the University of Edinburgh Centre for Cognitive Ageing and Cognitive Epidemiology, part of the cross-council Lifelong Health and Wellbeing Initiative (MR/K026992/1). Funding from the Biotechnology and Biological Sciences Research Council and Medical Research Council (MRC) is gratefully acknowledged. DJM is an NHS Research Scotland (NRS) Fellow, funded by the Chief Scientist Office. PN and CSH acknowledge support from the MRC. All other authors report no biomedical financial interests or potential conflicts of interest. GS:SFHS data are available to researchers on application to the Generation Scotland Access Committee (access: http://generationscotland.org). The managed access process ensures that approval is granted only to research that comes under the terms of participant consent. ; Peer reviewed ; Publisher PDF

To access publisher's full text version of this article, please click on the hyperlink in Additional Links field or click on the hyperlink at the top of the page marked Files ; Schizophrenia is a debilitating psychiatric condition often associated with poor quality of life and decreased life expectancy. Lack of progress in improving treatment outcomes has been attributed to limited knowledge of the underlying biology, although large-scale genomic studies have begun to provide insights. We report a new genome-wide association study of schizophrenia (11,260 cases and 24,542 controls), and through meta-analysis with existing data we identify 50 novel associated loci and 145 loci in total. Through integrating genomic fine-mapping with brain expression and chromosome conformation data, we identify candidate causal genes within 33 loci. We also show for the first time that the common variant association signal is highly enriched among genes that are under strong selective pressures. These findings provide new insights into the biology and genetic architecture of schizophrenia, highlight the importance of mutation-intolerant genes and suggest a mechanism by which common risk variants persist in the population. ; European Union's Seventh Framework Programme Medical Research Council (MRC) Centre European Community's Seventh Framework Programme German Research Foundation (DFG) Interdisciplinary Center for Clinical Research (IZKF) of the medical faculty of Munster National Health and Medical Research Council (NHMRC) Agencia Estatal de Investigacion (AEI) Xunta de Galicia Fondo Europeo de Desarrollo Regional (FEDER) Lundbeck Foundation Stanley Medical Research Institute, an advanced grant from the European Research Council Danish Strategic Research Council Aarhus University Wellcome Trust Juvenile Diabetes Research Foundation (JDRF) European Union National Institute for Health Research (NIHR) programme Chief Scientist Office of the Scottish government Health Directorates Scottish Funding Council National Institute of ...

The PGC was funded by National Institute of Mental Health (NIMH) Grant Nos. MH085520 (to PFS) and MH080403. Statistical analyses were carried out on the Genetic Cluster Computer (http://www.geneticcluster.org) hosted by SURFsara and financially supported by the Netherlands Scientific Organization Grant No. NWO 480-05-003 (to D. Posthuma) and the department of Psychology, Vrije Universiteit Amsterdam along with a supplement from the Dutch Brain Foundation. The Bonn/Mannheim GWAS was supported by the German Federal Ministry of Education and Research (BMBF) through the Integrated Genome Research Network Systematic Investigation of the Molecular Causes of Major Mood Disorders and Schizophrenia Grant Nos. 01GS08144 and 01GS08147, under the auspices of the National Genome Research Network plus, and through the Integrated Network Integrated Understanding of Causes and Mechanisms in Mental Disorders, under the auspices of the e:Med Programme Grant Nos. 01ZX1314A and 01ZX1314G. The Bonn/Mannheim GWAS was also supported by the German Research Foundation (DFG) Grant Nos. FOR2107, RI908/11-1, and NO246/10-1. The GenRED GWAS project was supported by NIMH R01 Grant Nos. MH061686 (to DFL), MH059542 (to W.H. Coryell), MH075131 (W.B. Lawson), MH059552 (JBP), MH059541 (W.A. Scheftner), and MH060912 (MMW). Max Planck Institute of Psychiatry MARS study was supported by the BMBF Program Molecular Diagnostics: Validation of Biomarkers for Diagnosis and Outcome in Major Depression by Grant No. 01ES0811. Genotyping was supported by the Bavarian Ministry of Commerce, and the BMBF in the framework of the National Genome Research Network by Grant Nos. NGFN2 and NGFN-Plus, FKZ 01GS0481 and 01GS08145. The Netherlands Study of Depression and Anxiety and the Netherlands Twin Register contributed to Genetic Association Information Network (GAIN)-MDD and to MDD2000. Funding for NTR/NESDA was from the following: the Netherlands Organization for Scientific Research (MagW/ZonMW Grant Nos. 904-61-090, 985-10- 002, 904-61-193, 480-04-004, 400-05-717, 912-100-20; Spinozapremie Grant No. 56-464-14192; Geestkracht program Grant No. 10-000-1002); the Center for Medical Systems Biology (NWO Genomics), Biobanking and Biomolecular Resources Research Infrastructure, Vrije Universiteit's Institutes for Health and Care Research and Neuroscience Campus Amsterdam, BIC/BioAssist/RK (Grant No. 2008.024); the European Science Foundation (Grant No. EU/QLRT-2001-01254); the European Community's Seventh Framework Program (Grant No. FP7/2007-2013); ENGAGE (Grant No. HEALTH-F4-2007-201413); and the European Science Council (Grant No. ERC 230374). Genotyping was funded in part by the GAIN of the Foundation for the US National Institutes of Health, and analysis was supported by grants from GAIN and the NIMH (Grant No. MH081802). Funding for the QIMR samples was provided by the Australian National Health and Medical Research Council (Grant Nos. 241944, 339462, 389927, 389875, 389891, 389892, 389938, 442915, 442981, 496675, 496739, 552485, 552498, 613602, 613608, 613674, 619667), the Australian Research Council (Grant Nos. FT0991360, FT0991022), the FP-5 GenomEUtwin Project (Grant No. QLG2-CT-2002-01254), and the US National Institutes of Health (Grant Nos. AA07535, AA10248, AA13320, AA13321, AA13326, AA14041, MH66206, DA12854, DA019951), and the Center for Inherited Disease Research (Baltimore, MD). RADIANT was funded by the following: a joint grant from the UK Medical Research Council and GlaxoSmithKline (Grant No. G0701420); the National Institute for Health Research Specialist Biomedical Research Centre for Mental Health at the South London and Maudsley National Health Service Foundation Trust and the Institute of Psychiatry, King's College London; the UK Medical Research Council (Grant No. G0000647), and the Marie Curie Industry-Academia Partnership and Pathways (Grant No. 286213). The GENDEP study was funded by a European Commission Framework 6 grant (EC Contract Ref.: LSHB-CT-2003-503428). Genotyping of STAR*D was supported by NIMH Grant No. MH072802 (to SPH). STAR*D was funded by NIMH Grant No. N01MH90003 to the University of Texas Southwestern Medical Center at Dallas (to A.J. Rush). The CoLaus/PsyCoLaus study was supported by research grants from GlaxoSmithKline, the Faculty of Biology and Medicine of Lausanne, and the Swiss National Science Foundation (Grant Nos. 3200B0–105993, 3200B0-118308, 33CSCO-122661, 33CS30-139468, 33CS30-148401) and two grants from GlaxoSmithKline Clinical Genetics. 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 (Grant Nos. 01ZZ9603, 01ZZ0103, 01ZZ0403), the Ministry of Cultural Affairs, and the Social Ministry of the Federal State of Mecklenburg–West Pomerania. 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. SHIP-LEGEND is funded by the DFG (Grant No. GR 1912/5-1). The TwinGene study was supported by the Swedish Ministry for Higher Education, the Swedish Research Council (Grant No. M-2005-1112), GenomEUtwin (Grant Nos. EU/QLRT-2001-01254, QLG2-CT-2002-01254), the Swedish Foundation for Strategic Research and the US National Institutes of Health (Grant No. U01 DK066134). The collection of PRISME control subjects and genotyping of the 883 Danish control subjects was supported by grants from The Danish Strategic Research Council, The Stanley Research Foundation, and H. Lundbeck A/S. The Muenster Depression cohorts were supported by the European Union (Grant No. N Health-F2-2008-222963) and by grants from the DFG (Grant Nos. FOR 2107 and DA1151/5-1 [to UD]), Innovative Medizinische Forschung of the Medical Faculty of Mu¨nster (Grant Nos. DA120903, DA111107, and DA211012 [all to UD]). Generation Scotland is supported by a Wellcome Trust Strategic Award "Stratifying Resilience and Depression Longitudinally" (Reference No.: 104036/Z/14/Z) and core support from the Chief Scientist Office of the Scottish Government Health Directorates (Grant No. CZD/16/6) and the Scottish Funding Council (Grant No. HR03006). Supplementary material cited in this article is available online at http:// dx.doi.org/10.1016/j.biopsych.2016.05.010. ; Peer reviewed ; Publisher PDF