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- Title
A unified test of linkage analysis and rare-variant association for analysis of pedigree sequence data.
- Authors
Hu, Hao; Roach, Jared C; Coon, Hilary; Guthery, Stephen L; Voelkerding, Karl V; Margraf, Rebecca L; Durtschi, Jacob D; Tavtigian, Sean V; Shankaracharya; Wu, Wilfred; Scheet, Paul; Wang, Shuoguo; Xing, Jinchuan; Glusman, Gustavo; Hubley, Robert; Li, Hong; Garg, Vidu; Moore, Barry; Hood, Leroy; Galas, David J
- Abstract
High-throughput sequencing of related individuals has become an important tool for studying human disease. However, owing to technical complexity and lack of available tools, most pedigree-based sequencing studies rely on an ad hoc combination of suboptimal analyses. Here we present pedigree-VAAST (pVAAST), a disease-gene identification tool designed for high-throughput sequence data in pedigrees. pVAAST uses a sequence-based model to perform variant and gene-based linkage analysis. Linkage information is then combined with functional prediction and rare variant case-control association information in a unified statistical framework. pVAAST outperformed linkage and rare-variant association tests in simulations and identified disease-causing genes from whole-genome sequence data in three human pedigrees with dominant, recessive and de novo inheritance patterns. The approach is robust to incomplete penetrance and locus heterogeneity and is applicable to a wide variety of genetic traits. pVAAST maintains high power across studies of monogenic, high-penetrance phenotypes in a single pedigree to highly polygenic, common phenotypes involving hundreds of pedigrees.
- Subjects
LINKAGE (Genetics); DISEASE research; MONOGENIC &; polygenic inheritance (Genetics); PHENOTYPES; NUCLEOTIDE sequencing; GENETIC markers
- Publication
Nature Biotechnology, 2014, Vol 32, Issue 7, p663
- ISSN
1087-0156
- Publication type
Article
- DOI
10.1038/nbt.2895