Article
Genetic variant predictors of gene expression provide new insight into risk of colorectal cancer.
Human genetics - 1 Apr 2019
Bien Stephanie A, Su Yu-Ru, Conti David V, Harrison Tabitha A, Qu Conghui, Guo Xingyi, Lu Yingchang, Albanes Demetrius, Auer Paul L, Banbury Barbara L, Berndt Sonja I, Bézieau Stéphane, Brenner Hermann, Buchanan Daniel D, Caan Bette J, Campbell Peter T, Carlson Christopher S, Chan Andrew T, Chang-Claude Jenny, Chen Sai, Connolly Charles M, Easton Douglas F, Feskens Edith J M, Gallinger Steven, Giles Graham G, Gunter Marc J, Hampe Jochen, Huyghe Jeroen R, Hoffmeister Michael, Hudson Thomas J, Jacobs Eric J, Jenkins Mark A, Kampman Ellen, Kang Hyun Min, Kühn Tilman, Küry Sébastien, Lejbkowicz Flavio, Le Marchand Loic, Milne Roger L, Li Li, Li Christopher I, Lindblom Annika, Lindor Noralane M, Martín Vicente, McNeil Caroline E, Melas Marilena, Moreno Victor, Newcomb Polly A, Offit Kenneth, Pharaoh Paul D P, Potter John D, Qu Chenxu, Riboli Elio, Rennert Gad, Sala Núria, Schafmayer Clemens, Scacheri Peter C, Schmit Stephanie L, Severi Gianluca, Slattery Martha L, Smith Joshua D, Trichopoulou Antonia, Tumino Rosario, Ulrich Cornelia M, van Duijnhoven Fränzel J B, Van Guelpen Bethany, Weinstein Stephanie J, White Emily, Wolk Alicja, Woods Michael O, Wu Anna H, Abecasis Goncalo R, Casey Graham, Nickerson Deborah A, Gruber Stephen B, Hsu Li, Zheng Wei, Peters Ulrike
Abstract excerpt
Genome-wide association studies have reported 56 independently associated colorectal cancer (CRC) risk variants, most of which are non-coding and believed to exert their effects by modulating gene expression. The computational method PrediXcan uses cis-regulatory variant predictors to impute expression and perform gene-level association tests in GWAS without directly measured transcriptomes. In this study, we...
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