351. A unified test of linkage analysis and rare-variant association for analysis of pedigree sequence data
- Author
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Lynn B. Jorde, Paul Scheet, Hao Hu, Jared C. Roach, Sean V. Tavtigian, Jinchuan Xing, Rebecca L. Margraf, Deepak Srivastava, Shuoguo Wang, David J. Galas, Stephen L. Guthery, Karl V. Voelkerding, Martin G. Reese, Robert Hubley, Barry Moore, Leroy Hood, Jacob D. Durtschi, Hilary Coon, Mark Yandell, Gustavo Glusman, Vidu Garg, Chad D. Huff, Shankaracharya, Hong Li, and Wilfred Wu
- Subjects
Genetic Markers ,Genetic Linkage ,DNA Mutational Analysis ,Molecular Sequence Data ,Biomedical Engineering ,Bioengineering ,Pedigree chart ,Computational biology ,Biology ,Applied Microbiology and Biotechnology ,Article ,Locus heterogeneity ,Genetic linkage ,Genetic variation ,medicine ,Inheritance Patterns ,Sequence (medicine) ,Genetics ,Linkage (software) ,Base Sequence ,Chromosome Mapping ,Genetic Variation ,High-Throughput Nucleotide Sequencing ,DNA ,medicine.disease ,Penetrance ,Pedigree ,Molecular Medicine ,Generic health relevance ,Biotechnology - 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. © 2014 Nature America, Inc.
- Published
- 2014