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Boosting Gene Mapping Power and Efficiency with Efficient Exact Variance Component Tests of Single Nucleotide Polymorphism Sets.

Genetics - 1 Nov 2016

Zhou Jin J, Hu Tao, Qiao Dandi, Cho Michael H, Zhou Hua

Abstract excerpt

Single nucleotide polymorphism (SNP) set tests have been a powerful method in analyzing next-generation sequencing (NGS) data. The popular sequence kernel association test (SKAT) method tests a set of variants as random effects in the linear mixed model setting. Its P-value is calculated based on asymptotic theory that requires a large sample size. Therefore, it is known that SKAT is conservative and can lose...

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PMID: 27646141
DOI: 10.1534/genetics.116.190454
PMCID: PMC5105869

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