MARS: leveraging allelic heterogeneity to increase power of association testing.
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ABSTRACT:
SUBMITTER: Hormozdiari F
PROVIDER: S-EPMC8086090 | biostudies-literature | 2021 Apr
REPOSITORIES: biostudies-literature
Publications
MARS: leveraging allelic heterogeneity to increase power of association testing.
Hormozdiari Farhad F Jung Junghyun J Eskin Eleazar E J Joo Jong Wha JW
Genome biology 20210430 1
In standard genome-wide association studies (GWAS), the standard association test is underpowered to detect associations between loci with multiple causal variants with small effect sizes. We propose a statistical method, Model-based Association test Reflecting causal Status (MARS), that finds associations between variants in risk loci and a phenotype, considering the causal status of variants, only requiring the existing summary statistics to detect associated risk loci. Utilizing extensive sim ...[more]
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