ArticleHuman heredity2015
A Generalized Sequential Bonferroni Procedure for GWAS in Admixed Populations Incorporating Admixture Mapping Information into Association Tests.
Article in Human heredity, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed.
- Impact of cross-ancestry genetic architecture on GWASs in admixed populations.American journal of human genetics · 2023Article
- Impact of cross-ancestry genetic architecture on GWAS in admixed populations.bioRxiv : the preprint server for biology · 2023Article
- Including diverse and admixed populations in genetic epidemiology research.Genetic epidemiology · 2022Article
- Polygenic risk scores for prediction of breast cancer risk in women of African ancestry: a cross-ancestry approach.Human molecular genetics · 2022Article
- Tractor uses local ancestry to enable the inclusion of admixed individuals in GWAS and to boost power.Nature genetics · 2021Article
- Genetic Ancestry for Sleep Research: Leveraging Health Inequalities to Identify Causal Genetic Variants.Chest · 2018Review
Corrections and comments
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Authors and funding
11 authors.
Funding
Abstract
objectiveTo develop effective methods for GWAS in admixed populations such as African Americans.
methodsWe show that, when testing the null hypothesis that the test SNP is not in background linkage disequilibrium with the causal variants, several existing methods cannot control well the family-wise error rate (FWER) in the strong sense in GWAS. These existing methods include association tests adjusting for global ancestry and joint association tests that combine statistics from admixture mapping tests and association tests that correct for local ancestry. Furthermore, we describe a generalized sequential Bonferroni (smooth-GSB) procedure for GWAS that incorporates smoothed weights calculated from admixture mapping tests into association tests that correct for local ancestry. We have applied the smooth-GSB procedure to analyses of GWAS data on American Africans from the Atherosclerosis Risk in Communities (ARIC) Study.
resultsOur simulation studies indicate that the smooth-GSB procedure not only control the FWER, but also improves statistical power compared with association tests correcting for local ancestry.
conclusionThe smooth-GSB procedure can result in a better performance than several existing methods for GWAS in admixed populations.
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