ArticlePLoS genetics2011
Enhanced statistical tests for GWAS in admixed populations: assessment using African Americans from CARe and a Breast Cancer Consortium.
Article in PLoS genetics, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 93 papers, 2 of them syntheses that pooled it.
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Who cites it
93 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Causal effects on complex traits are similar for common variants across segments of different continental ancestries within admixed individuals.Nature genetics · 2023Pooled it
- Replication and fine mapping of asthma-associated loci in individuals of African ancestry.Human genetics · 2013Pooled it
- Large-scale admixture mapping in the All of Us Research Program improves the characterization of cross-population phenotypic differences.Nature communications · 2026Article
- TLS-Tractor: A transfer learning framework for incorporating summary-statistics into local ancestry-aware GWAS in admixed populations.medRxiv : the preprint server for health sciences · 2026Article
- Hidden structure in polygenic scores and the challenge of disentangling ancestry interactions in admixed populations.Genetics · 2025Article
- Phase-free local ancestry inference mitigates the impact of switch errors on phase-based methods.G3 (Bethesda, Md.) · 2025Article
- Admixed and single-continental genome segments of the same ancestry have distinct linkage disequilibrium patterns.Genome biology · 2025Article
- CADET: Enhanced transcriptome-wide association analyses in admixed samples using eQTL summary data.American journal of human genetics · 2025Article
- Recomb-Mix: fast and accurate local ancestry inference.Bioinformatics (Oxford, England) · 2025Article
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- Haplotype analysis incorporating ancestral origins identified novel genetic loci associated with chicken body weight using an advanced intercross line.Genetics, selection, evolution : GSE · 2024Article
- Fast and accurate local ancestry inference with Recomb-Mix.bioRxiv : the preprint server for biology · 2024Article
- Improved multi-ancestry fine-mapping identifiesmedRxiv : the preprint server for health sciences · 2024Article
- Admix-kit: an integrated toolkit and pipeline for genetic analyses of admixed populations.Bioinformatics (Oxford, England) · 2024Article
- Joint multi-ancestry and admixed GWAS reveals the complex genetics behind human cranial vault shape.Nature communications · 2023Review
- Universal genome-wide association studies: Powerful joint ancestry and association testing.HGG advances · 2023Article
- Polygenic prediction across populations is influenced by ancestry, genetic architecture, and methodology.Cell genomics · 2023Article
- Admix-kit: An Integrated Toolkit and Pipeline for Genetic Analyses of Admixed Populations.bioRxiv : the preprint server for biology · 2023Article
- Strategies for the Genomic Analysis of Admixed Populations.Annual review of biomedical data science · 2023Review
33 more citing papers are in PubMed but not listed here.
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Authors and funding
45 authors.
Funding
Abstract
While genome-wide association studies (GWAS) have primarily examined populations of European ancestry, more recent studies often involve additional populations, including admixed populations such as African Americans and Latinos. In admixed populations, linkage disequilibrium (LD) exists both at a fine scale in ancestral populations and at a coarse scale (admixture-LD) due to chromosomal segments of distinct ancestry. Disease association statistics in admixed populations have previously considered SNP association (LD mapping) or admixture association (mapping by admixture-LD), but not both. Here, we introduce a new statistical framework for combining SNP and admixture association in case-control studies, as well as methods for local ancestry-aware imputation. We illustrate the gain in statistical power achieved by these methods by analyzing data of 6,209 unrelated African Americans from the CARe project genotyped on the Affymetrix 6.0 chip, in conjunction with both simulated and real phenotypes, as well as by analyzing the FGFR2 locus using breast cancer GWAS data from 5,761 African-American women. We show that, at typed SNPs, our method yields an 8% increase in statistical power for finding disease risk loci compared to the power achieved by standard methods in case-control studies. At imputed SNPs, we observe an 11% increase in statistical power for mapping disease loci when our local ancestry-aware imputation framework and the new scoring statistic are jointly employed. Finally, we show that our method increases statistical power in regions harboring the causal SNP in the case when the causal SNP is untyped and cannot be imputed. Our methods and our publicly available software are broadly applicable to GWAS in admixed populations.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.