Genome-wide Association Studies in Ancestrally Diverse Populations: Opportunities, Methods, Pitfalls, and Recommendations
Virginia Commonwealth University · University College London · +30 more institutions
Indexed incrossrefpubmed
Abstract
No abstract available for this paper.
Citation impact
835
total citations
- FWCI
- 51.64
- Percentile
- 100%
- References
- 93
Citations per year
Authors
31- RERoseann E. PetersonCorresponding
Virginia Commonwealth University
- KKKaroline Kuchenbaecker
University College London
- RKRaymond K. Walters
Broad Institute, Harvard University, Massachusetts General Hospital
- CCChia‐Yen Chen
Broad Institute, Harvard University, Massachusetts General Hospital
- ABAlice B. Popejoy
Stanford University
Topics & keywords
Topics
Keywords
- Biology
- Genome-wide association study
- Genetics
- Evolutionary biology
- Genome
- Computational biology
- Gene
- Genotype
No related works found for this paper.
Funding
- NANational Alliance for Research on Schizophrenia and DepressionAward: 22604
- WTWellcome TrustAwards: 5U01MH109539, 212360/Z/18/Z
- URUK Research and InnovationAwards: K99MH117229, MR/S003061/1
- ECEuropean Commission
- RIRoyal Irish AcademyAward: 610307
- VVetenskapsrådetAward: D0886501
- NINational Institutes of HealthAwards: MH109514, MH109539, MH109536, K01 MH113848, MH109501, MH109499, U01 MH109528, MH109532
- MRMedical Research CouncilAward: MR/S003061/1
- H2Horizon 2020
- NINational Institute on Minority Health and Health Disparities
- DODepartment of Psychiatry and Behavioral Sciences, School of Medicine, Stanford University