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Activity Number:
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42
- Statistical Genetics I – New Approaches for Association Mapping
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Type:
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Contributed
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Date/Time:
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Monday, August 3, 2020 : 10:00 AM to 2:00 PM
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Sponsor:
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Section on Statistics in Genomics and Genetics
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Abstract #312682
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Title:
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Identification of Population-Specific Associations in Multi-Ethnic Genome-Wide Association Studies
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Author(s):
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Ming Hin Ng* and Yingying Wei
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Companies:
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The Chinese University of Hong Kong and The Chinese University of Hong Kong
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Keywords:
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multi-ethnic;
GWAS;
population structure;
ancestry estimation;
biobank;
hierarchical model
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Abstract:
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Recent Biobank-based Genome-wide Association Studies (GWAS) are multi-ethnic by nature. As a result, if one ignores the genetic heterogeneity due to different ethnicities, one may call spurious associations between genetic variants and phenotypes or diseases. Thus, one of the main challenges in multi-ethnic GWAS involves effectively characterizing the population structure present in the genotype information and isolating their effects from the association analysis. Existing approaches either adjust the population structure with individuals’ genetic principal components or perform stratified association analyses for each ethnic group separately. Here, we develop a hierarchical model to simultaneously infer the ancestry for each individual and identify the population-specific associations for each ethnic group. Our proposed method reduces false-positive rates and enable the detection of population-specific associations without the need of self-reported ethnicity.
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Authors who are presenting talks have a * after their name.
