Article
Adjusting family relatedness in data-driven burden test of rare variants.
Genetic epidemiology - 1 Dec 2014
Zhang Qunyuan, Wang Lihua, Koboldt Dan, Boreki Ingrid B, Province Michael A
Abstract excerpt
Family data represent a rich resource for detecting association between rare variants (RVs) and human traits. However, most RV association analysis methods developed in recent years are data-driven burden tests which can adaptively learn weights from data but require permutation to evaluate significance, thus are not readily applicable to family data, because random permutation will destroy family structure....
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