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Activity Number:
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156
- Contributed Poster Presentations: Section on Statistics in Genomics and Genetics
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Type:
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Contributed
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Date/Time:
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Monday, August 8, 2022 : 10:30 AM to 12:20 PM
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Sponsor:
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Section on Statistics in Genomics and Genetics
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Abstract #323288
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Title:
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SNP-Set Extreme Phenotype Sampling in Genome-Wide Association Studies
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Author(s):
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Hung-Chih Ku* and Zhengyang Zhou and Chao Xing
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Companies:
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DePaul University and University of North Texas Health Science Center and UT Southwestern Medical Center
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Keywords:
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extreme phenotype sampling;
GWAS;
SNP-set;
selective genotyping
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Abstract:
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Extreme phenotype sampling approach is a cost-effective strategy to select only subjects with extreme values of a quantitative trait. It was proposed to increase the power to detect quantitative trait loci, compared to randomly selection with the same number of subjects for genotyping in genome-wide association studies. In this study we aim to investigate the power of extreme phenotype sampling with SNP set in a genome-wide association study.
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Authors who are presenting talks have a * after their name.
