ArticlePLoS genetics2006
Regional admixture mapping and structured association testing: conceptual unification and an extensible general linear model.
Article in PLoS genetics, 2006. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers.
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Who cites it
38 citing papers in PubMed.
- Three Loci Affecting Variance of Body Mass Index in African Americans and Sub-Saharan Africans.Genetic epidemiology · 2025Article
- Strategies for the Genomic Analysis of Admixed Populations.Annual review of biomedical data science · 2023Review
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- Ghost QTL and hotspots in experimental crosses: novel approach for modeling polygenic effects.Genetics · 2021Article
- Genome-wide Significance Thresholds for Admixture Mapping Studies.American journal of human genetics · 2019Article
- Article
- ALDsuite: Dense marker MALD using principal components of ancestral linkage disequilibrium.BMC genetics · 2015Article
- Mapping asthma-associated variants in admixed populations.Frontiers in genetics · 2015Review
- Sensation-seeking genes and physical activity in youth.Genes, brain, and behavior · 2013Article
- Admixture mapping of coronary artery calcified plaque in African Americans with type 2 diabetes mellitus.Circulation. Cardiovascular genetics · 2013Article
- Overview of admixture mapping.Current protocols in human genetics · 2013Article
- Genetic admixture is associated with plasma hemostatic factor levels in self-identified African Americans and Hispanics: the Multi-Ethnic Study of Atherosclerosis.Journal of thrombosis and haemostasis : JTH · 2012Article
- How to estimate the measurement error variance associated with ancestry proportion estimates.Statistics and its interface · 2011Article
- Genetics and epigenetics of obesity.Maturitas · 2011Review
- Inter-chromosomal variation in the pattern of human population genetic structure.Human genomics · 2011Article
- Comparing self-reported ethnicity to genetic background measures in the context of the Multi-Ethnic Study of Atherosclerosis (MESA).BMC genetics · 2011Article
- A unified framework for multi-locus association analysis of both common and rare variants.BMC genomics · 2011Article
- The nuclear transcription factor PKNOX2 is a candidate gene for substance dependence in European-origin women.PloS one · 2011Article
- Controlling Population Structure in Human Genetic Association Studies with Samples of Unrelated Individuals.Statistics and its interface · 2011Article
- Capitalizing on admixture in genome-wide association studies: a two-stage testing procedure and application to height in African-Americans.Frontiers in genetics · 2011Article
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Authors and funding
12 authors.
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Abstract
Individual genetic admixture estimates, determined both across the genome and at specific genomic regions, have been proposed for use in identifying specific genomic regions harboring loci influencing phenotypes in regional admixture mapping (RAM). Estimates of individual ancestry can be used in structured association tests (SAT) to reduce confounding induced by various forms of population substructure. Although presented as two distinct approaches, we provide a conceptual framework in which both RAM and SAT are special cases of a more general linear model. We clarify which variables are sufficient to condition upon in order to prevent spurious associations and also provide a simple closed form "semiparametric" method of evaluating the reliability of individual admixture estimates. An estimate of the reliability of individual admixture estimates is required to make an inherent errors-in-variables problem tractable. Casting RAM and SAT methods as a general linear model offers enormous flexibility enabling application to a rich set of phenotypes, populations, covariates, and situations, including interaction terms and multilocus models. This approach should allow far wider use of RAM and SAT, often using standard software, in addressing admixture as either a confounder of association studies or a tool for finding loci influencing complex phenotypes in species as diverse as plants, humans, and nonhuman animals.
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