Diabetes Care · 2012 · 23 citations · 12 references
Life SciencesEndocrinologyGeneticsEpidemiologyGenetic EpidemiologyHuman GeneticsAncestry EstimationCommon AncestryGenomic PredictionGenotype-phenotype Association AnalysisInsulin ResistanceAncestral Population AnalysisAncestry-informed Risk PredictionAncestry-specific Risk PredictionGenetic Ancestry InferenceGenomic BiomarkersHuman AncestryInsulin Resistance AssessmentPhenotypic Traits
OBJECTIVE: An elevated insulin resistance index (homeostasis model assessment of insulin resistance [HOMA-IR]) is more commonly seen in the Mexican American population than in European populations. We report quantitative ancestral effects within a Mexican American population, and we correlate ancestral components with HOMA-IR. RESEARCH DESIGN AND METHODS: We performed ancestral analysis in 1,551 participants of the Cameron County Hispanic Cohort by genotyping 103 ancestry-informative markers (AIMs). These AIMs allow determination of the percentage (0-100%) ancestry from three major continental populations, i.e., European, African, and Amerindian. RESULTS: We observed that predominantly Amerindian ancestral components were associated with increased HOMA-IR (β = 0.124, P = 1.64 × 10(-7)). The correlation was more significant in males (Amerindian β = 0.165, P = 5.08 × 10(-7)) than in females (Amerindian β = 0.079, P = 0.019). CONCLUSIONS: This unique study design demonstrates how genomic markers for quantitative ancestral information can be used in admixed populations to predict phenotypic traits such as insulin resistance.
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Principal components analysis corrects for stratification in genome-wide association studies
Alkes L. Price, Nick J. Patterson, Robert M. Plenge et al. · Nature Genetics · 2006 · 10.7K citations
Fast model-based estimation of ancestry in unrelated individuals
David H. Alexander, John Novembre, Kenneth Lange · Genome Research · 2009 · 10.6K citations · Full text