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Adjusting Family Relatedness in Data-driven Burden Test of Rare Variants

Family data represents 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 signifi...

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Bibliografiske detaljer
Udgivet i:Genet Epidemiol
Main Authors: Zhang, Qunyuan, Wang, Lihua, Koboldt, Dan, Boreki, Ingrid B., Province, Michael A.
Format: Artigo
Sprog:Inglês
Udgivet: 2014
Fag:
Online adgang:https://ncbi.nlm.nih.gov/pmc/articles/PMC4236253/
https://ncbi.nlm.nih.gov/pubmed/25169066
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1002/gepi.21848
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