On powerful GWAS in admixed populations
Author:
Funder
U.S. Department of Health & Human Services | NIH | National Human Genome Research Institute
Publisher
Springer Science and Business Media LLC
Subject
Genetics
Link
https://www.nature.com/articles/s41588-021-00953-5.pdf
Reference15 articles.
1. Martin, A. R. et al. Human demographic history impacts genetic risk prediction across diverse populations. Am. J. Hum. Genet. 100, 635–649 (2017).
2. Atkinson, E. G. et al. Tractor uses local ancestry to enable the inclusion of admixed individuals in GWAS and to boost power. Nat. Genet. 53, 195–204 (2021).
3. Zhang, J. & Stram, D. O. The role of local ancestry adjustment in association studies using admixed populations. Genet. Epidemiol. 38, 502–515 (2014).
4. Seldin, M. F., Pasaniuc, B. & Price, A. L. New approaches to disease mapping in admixed populations. Nat. Rev. Genet. 12, 523–528 (2011).
5. Pasaniuc, B. et al. Enhanced statistical tests for GWAS in admixed populations: assessment using African Americans from CARe and a Breast Cancer Consortium. PLoS Genet. 7, e1001371 (2011).
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