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

Autor/a

Bonàs Guarch, Sílvia

Guindo Martínez, Marta

Miguel-Escalada, Irene

Grarup, Niels

Sebastián Muñoz, David

Rodriguez-Fos, Elias

Sánchez, Friman

Planas-Fèlix, Mercè

Cortes-Sánchez, Paula

González, Santi

Timshel, Pascal

Pers, Tune H.

Morgan, Claire C.

Moran, Ignasi

Atla, Goutham

González, Juan Ramón

Puiggròs, Montserrat

Martí, Jonathan

Andersson, Ehm A.

Díaz, Carlos

Badia, Rosa M.

Udler, Miriam

Leong, Aaron

Kaur, Varindepal

Flannick, Jason

Jørgensen, Torben

Linneberg, Allan

Jørgensen, Marit E.

Witte, Daniel R.

Christensen, Cramer

Brandslund, Ivan

Appel, Emil V.

Scott, Robert A.

Luan, Jian'an

Langenberg, Claudia

Wareham, Nicholas J.

Pedersen, Oluf

Zorzano Olarte, Antonio

Florez, Jose C.

Hansen, Torben

Data de publicació

2018-03-21T12:44:33Z

2018-03-21T12:44:33Z

2018-01-22

2018-03-21T12:44:33Z

Resum

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.

Tipus de document

Article
Versió publicada

Llengua

Anglès

Matèries i paraules clau

Diabetis; Genètica humana; Diabetes; Human genetics

Publicat per

Nature Publishing Group

Documents relacionats

Reproducció del document publicat a: https://doi.org/10.1038/s41467-017-02380-9

Nature Communications, 2018, vol. 9, num. 321

https://doi.org/10.1038/s41467-017-02380-9

info:eu-repo/grantAgreement/EC/H2020/658145/EU//3D-ADAPT

Drets

cc-by (c) Bonàs Guarch, Sílvia et al., 2018

http://creativecommons.org/licenses/by/3.0/es