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Theoretical approaches that treat religiosity as an evolutionary byproduct of cognitive mechanisms to detect agency may help to explain the prevalence of superstitious thinking, but they say little about the social-motivational (or ideological) functions of religious beliefs or the specific contents of religious doctrines. To address these omissions, we develop the thesis that religion provides an ideological justification for the existing social order, so that prevailing institutions and arrangements are perceived as legitimate and just and therefore worth obeying and preserving. We summarize empirical evidence revealing that: religiosity is associated with the same set of epistemic, existential, and relational needs that motivate system justification; religiosity is associated with the endorsement of the belief in a just world, Protestant Work Ethic, fair market ideology, opposition to equality, right-wing authoritarianism, political conservatism and other system-justifying belief systems; and religious ideology tends to serve the palliative function of making people happier or more satisfied with the way things are. Adapted from the source document.

AbstractThe challenges of reliably collecting, storing, organizing, and analyzing research data are critical in low- and middle-income countries (LMICs), particularly in Sub-Saharan Africa where several healthcare and biomedical research organizations have limited data infrastructure. The Research Electronic Data Capture (REDCap) System has been widely used by many institutions and hospitals in the USA for data collection, entry, and management and could help solve this problem. This study reports on the experiences, challenges, and lessons learned from establishing and applying REDCap for a large US-Nigeria research partnership that includes two sites in Nigeria, (the College of Medicine of the University of Lagos (CMUL) and Jos University Teaching Hospital (JUTH)) and Northwestern University (NU) in Chicago, Illinois in the United States. The largest challenges to this implementation were significant technical obstacles: the lack of REDCap-trained personnel, transient electrical power supply, and slow/ intermittent internet connectivity. However, asynchronous communication and on-site hands-on collaboration between the Nigerian sites and NU led to the successful installation and configuration of REDCap to meet the needs of the Nigerian sites. An example of one lesson learned is the use of Virtual Private Network (VPN) as a solution to poor internet connectivity at one of the sites, and its adoption is underway at the other. Virtual Private Servers (VPS) or shared online hosting were also evaluated and offer alternative solutions. Installing and using REDCap in LMIC institutions for research data management is feasible; however, planning for trained personnel and addressing electrical and internet infrastructural requirements are essential to optimize its use. Building this fundamental research capacity within LMICs across Africa could substantially enhance the potential for more cross-institutional and cross-country collaboration in future research endeavors.

Genome-wide association studies (GWAS) have identified more than 50,000 unique associations with common human traits. While this represents a substantial step forward, establishing the biology underlying these associations has proven extremely difficult. Even determining which cell types and which particular gene(s) are relevant continues to be a challenge. Here, we conduct a cell-specific pathway analysis of the latest GWAS in multiple sclerosis (MS), which had analyzed a total of 47,351 cases and 68,284 healthy controls and found more than 200 non-MHC genome-wide associations. Our analysis identifies pan immune cell as well as cell-specific susceptibility genes in T cells, B cells and monocytes. Finally, genotype-level data from 2,370 patients and 412 controls is used to compute intra-individual and cell-specific susceptibility pathways that offer a biological interpretation of the individual genetic risk to MS. This approach could be adopted in any other complex trait for which genome-wide data is available. ; This investigation was supported in part by the following sources: NIH/NINDS awards R01NS088155 and 1R01NS099240, the Valhalla Charitable Foundation, and the Heidrich Family and Friends Foundation (Sergio E. Baranzini). US National Multiple Sclerosis Society (TA 3056-A-2), the Harvard NeuroDiscovery Center and an Intel Parallel Computing Center award (Nikolaos A. Patsopoulos). Swedish Medical Research Council; Swedish Research Council for Health, Working Life and Welfare, Knut and Alice Wallenberg Foundation, AFA insurance, Swedish Brain Foundation, the Swedish Association for Persons with Neurological Disabilities. Cambridge NIHR Biomedical Research Centre, UK Medical Research Council (G1100125) and the UK MS society (861/07). NIH/NINDS: R01 NS049477, NIH/NIAID: R01 AI059829, NIH/NIEHS: R01 ES0495103. Research Council of Norway grant 196776 and 240102. NINDS/NIH R01NS088155. Oslo MS association. Research Council KU Leuven, Research Foundation Flanders. AFM, AFM-Généthon, CIC, ARSEP, ANR-10-INBS-01 and ANR-10-IAIHU-06. Research Council KU Leuven, Research Foundation Flanders. Inserm ATIP-Avenir Fellowship and Connect-Talents Award. German Ministry for Education and Research, German Competence Network MS (BMBF KKNMS). Oslo MS association, Research Council of Norway grant 196776 and 240102. Dutch MS Research Foundation. TwinsUK is funded by the Wellcome Trust, Medical Research Council, European Union, the National Institute for Health Research (NIHR)-funded BioResource, Clinical Research Facility and Biomedical Research Centre based at Guy's and St Thomas' NHS Foundation Trust in partnership with King's College London. German Ministry for Education and Research, German Competence Network MS (BMBF KKNMS). Italian Foundation of Multiple Sclerosis (FISM). NMSS (RG 4680A1/1). German Ministry for Education and Research, German Competence Network MS (BMBF KKNMS). Lundbeck Foundation and Benzon Foundation. ; updatedVersion