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Chunk #36 — Methods — Genome-wide genotyping array data sets used for evaluation of imputation quality and/or phenotype association analysis — Atherosclerosis Risk in Communities (ARIC)

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Use of >100,000 NHLBI Trans-Omics for Precision Medicine (TOPMed) Consortium whole genome sequences improves imputation quality and detection of rare variant associations in admixed African and Hispanic/Latino populations.
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The ARIC study was initiated in 1987, when participants were 45–64 years old, recruiting participants age 45–64 years from 4 field centers (Forsyth County, NC; Jackson, MS; northwestern suburbs of Minneapolis, MN; Washington County, MD) in order to study cardiovascular disease and its risk factors [56], including the participants of self-reported AA ancestry included here. Standardized physical examinations and interviewer-administered questionnaires were conducted at baseline (1987–89), three triennial follow-up examinations, a fifth examination in 2011–13, and a sixth exam in 2016–2017. Genotyping was performed through the CARe consortium Affymetrix 6.0 array [52, 53]. In total, 2,392 AA participants with blood cell traits were included in the analysis.