ArticleGenetic epidemiology2010
Joint testing of genotype and ancestry association in admixed families.
Article in Genetic epidemiology, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers, 1 of them a synthesis that pooled it.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
35 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Genome-wide association study of body height in African Americans: the Women's Health Initiative SNP Health Association Resource (SHARe).Human molecular genetics · 2012Pooled it
- Immune gene diversity and STING1 variants in shaping cancer immunity across different genetic ancestry populations.Cell reports · 2026Article
- CADET: Enhanced transcriptome-wide association analyses in admixed samples using eQTL summary data.American journal of human genetics · 2025Article
- SURFBAT: a surrogate family based association test building on large imputation reference panels.G3 (Bethesda, Md.) · 2025Article
- Universal genome-wide association studies: Powerful joint ancestry and association testing.HGG advances · 2023Article
- Identifying QTLs involved in hybrid performance and heterotic group complementarity: new GWAS models applied to factorial and admixed diallel maize hybrid panels.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2023Article
- Impact of cross-ancestry genetic architecture on GWASs in admixed populations.American journal of human genetics · 2023Article
- Admixture Mapping in African Americans Identifies New Risk Loci for HCV-Related Cirrhosis.Clinical gastroenterology and hepatology : the official clinical practice journal of the American Gastroenterological Association · 2023Article
- Impact of cross-ancestry genetic architecture on GWAS in admixed populations.bioRxiv : the preprint server for biology · 2023Article
- Genetic heterogeneity: Challenges, impacts, and methods through an associative lens.Genetic epidemiology · 2022Review
- Tractor uses local ancestry to enable the inclusion of admixed individuals in GWAS and to boost power.Nature genetics · 2021Article
- Identifying Rare Variant Associations in Admixed Populations.Scientific reports · 2019Article
- Genome-wide Significance Thresholds for Admixture Mapping Studies.American journal of human genetics · 2019Article
- Article
- A robust and powerful two-step testing procedure for local ancestry adjusted allelic association analysis in admixed populations.Genetic epidemiology · 2018Article
- Local Ancestry Association, Admixture Mapping, and Ongoing Challenges.Circulation. Cardiovascular genetics · 2017Article
- What Ancestry Can Tell Us About the Genetic Origins of Inter-Ethnic Differences in Asthma Expression.Current allergy and asthma reports · 2016Review
- Genetic Investigation Into the Differential Risk of Atrial Fibrillation Among Black and White Individuals.JAMA cardiology · 2016Article
- Genetic structure characterization of Chileans reflects historical immigration patterns.Nature communications · 2015Article
- Mapping asthma-associated variants in admixed populations.Frontiers in genetics · 2015Review
Corrections and comments
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Authors and funding
5 authors.
Funding
Abstract
Current genome-wide association studies (GWAS) often involve populations that have experienced recent genetic admixture. Genotype data generated from these studies can be used to test for association directly, as in a non-admixed population. As an alternative, these data can be used to infer chromosomal ancestry, and thus allow for admixture mapping. We quantify the contribution of allele-based and ancestry-based association testing under a family-design, and demonstrate that the two tests can provide non-redundant information. We propose a joint testing procedure, which efficiently integrates the two sources information. The efficiencies of the allele, ancestry and combined tests are compared in the context of a GWAS. We discuss the impact of population history and provide guidelines for future design and analysis of GWAS in admixed populations.
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Registered trials
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.