Hypothesis-free identification of modulators of genetic risk factors

• Published in: bioRxiv
• Main Authors: Zhernakova, Daria, Deelen, Patrick, Vermaat, Martijn, Maarten Van Iterson, Michiel Van Galen, Wibowo Arindrarto, Van T Hof, Peter, Mei, Hailiang, Freerk Van Dijk, Harm-Jan Westra, Bonder, Marc Jan, Jeroen Van Rooij, Verkerk, Marijn, P Mila Jhamai, Moed, Matthijs, Kielbasa, Szymon M, Bot, Jan, Nooren, Irene, Ren Pool, Jenny Van Dongen, Hottenga, Jouke J, Coen Da Stehouwer, Carla Jh Van Der Kallen, Schalkwijk, Casper G, Zhernakova, Alexandra, Yang, Li, Tigchelaar, Ettje F, Beekman, Marian, Deelen, Joris, Diana Van Heemst, Leonard H Van Den Berg, Hofman, Albert, Andr G Uitterlinden, Marleen Mj Van Greevenbroek, Veldink, Jan H, Boomsma, Dorret I, Van Duijn, Cornelia M, Wijmenga, Cisca, P Eline Slagboom, Swertz, Morris A, Isaacs, Aaron, Van Meurs, Joyce Bj, Jansen, Rick, Heijmans, Bastiaan T, Hoen, Peter Ac T, Franke, Lude
• Format: Paper
• Language: English
• Published: Cold Spring Harbor Cold Spring Harbor Laboratory Press 30.11.2015
• Subjects: CD4 antigen; Erythrocytes; Etiology; Genomes; Health risk assessment; Hypotheses; Interferon; Leukocytes (eosinophilic); Lymphocytes T; Peripheral blood; Quantitative trait loci; Ribonucleic acid; Risk factors; RNA; Signal transduction; Single-nucleotide polymorphism; Transcription factors

Genetic risk factors often localize in non-coding regions of the genome with unknown effects on disease etiology. Expression quantitative trait loci (eQTLs) help to explain the regulatory mechanisms underlying the association of genetic risk factors with disease. More mechanistic insights can be der...