Genome-wide association studies in ancestrally diverse populations: opportunities, methods, pitfalls, and recommendations

Peterson, R. E. et al. (2019) Genome-wide association studies in ancestrally diverse populations: opportunities, methods, pitfalls, and recommendations. Cell, 179(3), pp. 589-603. (doi:10.1016/j.cell.2019.08.051) (PMID:31607513)

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Abstract

Genome-wide association studies (GWASs) have focused primarily on populations of European descent, but it is essential that diverse populations become better represented. Increasing diversity among study participants will advance our understanding of genetic architecture in all populations and ensure that genetic research is broadly applicable. To facilitate and promote research in multi-ancestry and admixed cohorts, we outline key methodological considerations and highlight opportunities, challenges, solutions, and areas in need of development. Despite the perception that analyzing genetic data from diverse populations is difficult, it is scientifically and ethically imperative, and there is an expanding analytical toolbox to do it well.

Item Type:Articles
Additional Information:The authors acknowledge the support and helpful discussions with many members in the Psychiatric Genomics Consortium (PGC), which is supported by the National Institutes of Health (NIH) grants U01 MH109528, MH109539, MH109539, MH109536, MH109501, MH109514, MH109499, MH109532. REP is supported by NIH K01 grant MH113848. KK is supported by Wellcome Trust grant 212360/Z/18/Z. RKW is supported by NIH U01 MH094432. ABP is supported by a Postdoctoral Fellowship from the Stanford Center for Computational, Evolutionary, and Human Genomics (CEHG). RJS is supported by a UKRI Innovation- HDR-UK Fellowship (MR/S003061/1). ARM is supported by NIH grant K99MH117229. MLP is supported in part by grant CONICYT FONDECYT 1181365. HH is supported by NIH K01DK114379, R21AI139012, and the Stanley Center for Psychiatric Research. LD was supported by UL1 TR001085 and Stanford Department of Psychiatry and Behavioral Sciences.
Status:Published
Refereed:Yes
Glasgow Author(s) Enlighten ID:Strawbridge, Dr Rona
Authors: Peterson, R. E., Kuchenbaecker, K., Walters, R. K., Chen, C.-Y., Popejoy, A. B., Periyasamy, S., Lam, M., Iyegbe, C., Strawbridge, R. J., Brick, L., Carey, C. E., Martin, A. R., Meyers, J. L., Su, J., Chen, J., Edwards, A. C., Kalungi, A., Koen, N., Majara, L., Schwarz, E., Smoller, J. W., Stahl, E. A., Sullivan, P. F., Vassos, E., Mowry, B., Prieto, M. L., Cuellar-Barboza, A., Bigdeli, T. B., Edenberg, H. J., Huang, H., and Duncan, L. E.
College/School:College of Medical Veterinary and Life Sciences > Institute of Health and Wellbeing > Mental Health and Wellbeing
Journal Name:Cell
Publisher:Elsevier (Cell Press)
ISSN:0092-8674
ISSN (Online):1097-4172
Published Online:10 October 2019
Copyright Holders:Copyright © 2019 Elsevier Inc.
First Published:First published in Cell 179(3): 589-603
Publisher Policy:Reproduced in accordance with the publisher copyright policy

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Project CodeAward NoProject NamePrincipal InvestigatorFunder's NameFunder RefLead Dept
3021310Understanding the excess risk of cardiometabolic disease in individuals with serious mental illnessJill PellMedical Research Council (MRC)MR/S003061/1HW - Public Health