Re-analysis of public genetic data reveals a rare X-chromosomal variant associated with type 2 diabetes

Sílvia Bonàs‐Guarch(Barcelona Supercomputing Center), Marta Guindo-Martínez(Barcelona Supercomputing Center), Irene Miguel-Escalada(Instituto de Salud Carlos III), Niels Grarup(University of Copenhagen), David Sebastián(Instituto de Salud Carlos III), Elias Rodríguez-Fos(Barcelona Supercomputing Center), Friman Sánchez(Barcelona Supercomputing Center), Mercè Planas-Fèlix(Barcelona Supercomputing Center), Paula Cortés-Sánchez(Barcelona Supercomputing Center), Santiago González(Barcelona Supercomputing Center), Pascal Timshel(Statens Serum Institut), Tune H. Pers(Statens Serum Institut), Claire C. Morgan(Imperial College London), Ignasi Morán(Imperial College London), Goutham Atla(Instituto de Salud Carlos III), Juan R. González(Universitat Pompeu Fabra), Montserrat Puiggròs(Barcelona Supercomputing Center), Jonathan Martí(Barcelona Supercomputing Center), Ehm A. Andersson(University of Copenhagen), Carlos Bustamante(Barcelona Supercomputing Center), Rosa M. Badía(Barcelona Supercomputing Center), Miriam S. Udler(Broad Institute), Aaron Leong(Massachusetts General Hospital), Varindepal Kaur(Massachusetts General Hospital), Jason Flannick(Broad Institute), Torben Jørgensen(University of Copenhagen), Allan Linneberg(University of Copenhagen), Marit E. Jørgensen(Steno Diabetes Centers), Daniel R. Witte(Aarhus University), Cramer Christensen(Lillebaelt Hospital), Ivan Brandslund(University of Southern Denmark), Emil V. R. Appel(University of Copenhagen), Robert A. Scott(University of Cambridge), Jian’an Luan(University of Cambridge), Claudia Langenberg(University of Cambridge), Nicholas J. Wareham(University of Cambridge), Oluf Pedersen(University of Copenhagen), António Zorzano(Instituto de Salud Carlos III), José C. Florez(Broad Institute), Torben Hansen(University of Copenhagen), Jorge Ferrer(Instituto de Salud Carlos III), Josep M. Mercader(Broad Institute), David Torrents(Institució Catalana de Recerca i Estudis Avançats)
Nature Communications
January 16, 2018
Cited by 147Open Access
Full Text

Abstract

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 with a twofold increased risk for T2D in males. rs146662057 is located within an active enhancer associated with the expression of Angiotensin II Receptor type 2 gene (AGTR2), a modulator of insulin sensitivity, and exhibits allelic specific activity in muscle cells. Beyond providing insights into the genetics and pathophysiology of T2D, these results also underscore the value of reanalyzing publicly available data using novel genetic resources and analytical approaches.


Related Papers

No related papers found

Powered by citation graph analysis