| Literature DB >> 29279374 |
Goo Jun1,2,3, Alisa Manning4, Marcio Almeida5, Matthew Zawistowski6,2, Andrew R Wood7, Tanya M Teslovich6,2,8, Christian Fuchsberger6,2,9, Shuang Feng6,2, Pablo Cingolani10, Kyle J Gaulton11, Thomas Dyer5, Thomas W Blackwell6,2, Han Chen3,12,13, Peter S Chines14, Sungkyoung Choi15, Claire Churchhouse4, Pierre Fontanillas4, Ryan King16, SungYoung Lee17, Stephen E Lincoln18,19, Vasily Trubetskoy16, Mark DePristo4, Tasha Fingerlin20, Robert Grossman16, Jason Grundstad16, Alison Heath16, Jayoun Kim21, Young Jin Kim17,22, Jason Laramie18, Jaehoon Lee21, Heng Li4, Xuanyao Liu23, Oren Livne16, Adam E Locke6,2, Julian Maller24, Alexander Mazur10, Andrew P Morris11,25, Toni I Pollin26,27,28, Derek Ragona16, David Reich29, Manuel A Rivas11, Laura J Scott6,2, Xueling Sim6,2,23, Rick G Tearle18, Yik Ying Teo23,30,31, Amy L Williams4, Sebastian Zöllner6,2, Joanne E Curran5, Juan Peralta5, Beena Akolkar32, Graeme I Bell33,34, Noël P Burtt4, Nancy J Cox16,35, Jose C Florez4,36,37,38, Craig L Hanis3, Catherine McKeon32, Karen L Mohlke39, Mark Seielstad40,41,42, James G Wilson43, Gil Atzmon44,45,46, Jennifer E Below35, Josée Dupuis12,47, Dan L Nicolae16, Donna Lehman48, Taesung Park21, Sungho Won49, Robert Sladek10,50,51, David Altshuler4,7,37,52,53, Mark I McCarthy11,54,55, Ravindranath Duggirala5, Michael Boehnke6,2, Timothy M Frayling7, Gonçalo R Abecasis6,2, John Blangero5.
Abstract
A major challenge in evaluating the contribution of rare variants to complex disease is identifying enough copies of the rare alleles to permit informative statistical analysis. To investigate the contribution of rare variants to the risk of type 2 diabetes (T2D) and related traits, we performed deep whole-genome analysis of 1,034 members of 20 large Mexican-American families with high prevalence of T2D. If rare variants of large effect accounted for much of the diabetes risk in these families, our experiment was powered to detect association. Using gene expression data on 21,677 transcripts for 643 pedigree members, we identified evidence for large-effect rare-variant cis-expression quantitative trait loci that could not be detected in population studies, validating our approach. However, we did not identify any rare variants of large effect associated with T2D, or the related traits of fasting glucose and insulin, suggesting that large-effect rare variants account for only a modest fraction of the genetic risk of these traits in this sample of families. Reliable identification of large-effect rare variants will require larger samples of extended pedigrees or different study designs that further enrich for such variants.Entities:
Keywords: eQTL; genetics; rare variants; sequencing; type 2 diabetes
Mesh:
Year: 2017 PMID: 29279374 PMCID: PMC5777025 DOI: 10.1073/pnas.1705859115
Source DB: PubMed Journal: Proc Natl Acad Sci U S A ISSN: 0027-8424 Impact factor: 11.205