Literature DB >> 28008009

Distribution and clinical impact of functional variants in 50,726 whole-exome sequences from the DiscovEHR study.

Frederick E Dewey1, Michael F Murray2, John D Overton3, Lukas Habegger3, Joseph B Leader2, Samantha N Fetterolf2, Colm O'Dushlaine3, Cristopher V Van Hout3, Jeffrey Staples3, Claudia Gonzaga-Jauregui3, Raghu Metpally2, Sarah A Pendergrass2, Monica A Giovanni2, H Lester Kirchner2, Suganthi Balasubramanian3, Noura S Abul-Husn3, Dustin N Hartzel2, Daniel R Lavage2, Korey A Kost2, Jonathan S Packer3, Alexander E Lopez3, John Penn3, Semanti Mukherjee3, Nehal Gosalia3, Manoj Kanagaraj3, Alexander H Li3, Lyndon J Mitnaul3, Lance J Adams2, Thomas N Person2, Kavita Praveen3, Anthony Marcketta3, Matthew S Lebo4, Christina A Austin-Tse4, Heather M Mason-Suares4, Shannon Bruse3, Scott Mellis5, Robert Phillips5, Neil Stahl5, Andrew Murphy5, Aris Economides3, Kimberly A Skelding2, Christopher D Still2, James R Elmore2, Ingrid B Borecki3, George D Yancopoulos5, F Daniel Davis2, William A Faucett2, Omri Gottesman3, Marylyn D Ritchie2, Alan R Shuldiner3, Jeffrey G Reid3, David H Ledbetter2, Aris Baras3, David J Carey6.   

Abstract

The DiscovEHR collaboration between the Regeneron Genetics Center and Geisinger Health System couples high-throughput sequencing to an integrated health care system using longitudinal electronic health records (EHRs). We sequenced the exomes of 50,726 adult participants in the DiscovEHR study to identify ~4.2 million rare single-nucleotide variants and insertion/deletion events, of which ~176,000 are predicted to result in a loss of gene function. Linking these data to EHR-derived clinical phenotypes, we find clinical associations supporting therapeutic targets, including genes encoding drug targets for lipid lowering, and identify previously unidentified rare alleles associated with lipid levels and other blood level traits. About 3.5% of individuals harbor deleterious variants in 76 clinically actionable genes. The DiscovEHR data set provides a blueprint for large-scale precision medicine initiatives and genomics-guided therapeutic discovery.
Copyright © 2016, American Association for the Advancement of Science.

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Year:  2016        PMID: 28008009     DOI: 10.1126/science.aaf6814

Source DB:  PubMed          Journal:  Science        ISSN: 0036-8075            Impact factor:   47.728


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