Ontology highlight
ABSTRACT:
SUBMITTER: Bonas-Guarch S
PROVIDER: S-EPMC5778074 | biostudies-literature | 2018 Jan
REPOSITORIES: biostudies-literature
Bonàs-Guarch Sílvia S Guindo-Martínez Marta M Miguel-Escalada Irene I Grarup Niels N Sebastian David D Rodriguez-Fos Elias E Sánchez Friman F Planas-Fèlix Mercè M Cortes-Sánchez Paula P González Santi S Timshel Pascal P Pers Tune H TH Morgan Claire C CC Moran Ignasi I Atla Goutham G González Juan R JR Puiggros Montserrat M Martí Jonathan J Andersson Ehm A EA Díaz Carlos C Badia Rosa M RM Udler Miriam M Leong Aaron A Kaur Varindepal V Flannick Jason J Jørgensen Torben T Linneberg Allan A Jørgensen Marit E ME Witte Daniel R DR Christensen Cramer C Brandslund Ivan I Appel Emil V EV Scott Robert A RA Luan Jian'an J Langenberg Claudia C Wareham Nicholas J NJ Pedersen Oluf O Zorzano Antonio A Florez Jose C JC Hansen Torben T Ferrer Jorge J Mercader Josep Maria JM Torrents David D
Nature communications 20180122 1
The reanalysis of existing GWAS data represents a powerful and cost-effective opportunity to gain insights into the genetics of complex diseases. By reanalyzing publicly available type 2 diabetes (T2D) genome-wide association studies (GWAS) data for 70,127 subjects, we identify seven novel associated regions, five driven by common variants (LYPLAL1, NEUROG3, CAMKK2, ABO, and GIP genes), one by a low-frequency (EHMT2), and one driven by a rare variant in chromosome Xq23, rs146662057, associated w ...[more]