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


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.

SUBMITTER: Bonas-Guarch S 

PROVIDER: S-EPMC5778074 | biostudies-literature | 2018 Jan

REPOSITORIES: biostudies-literature

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

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]

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