Title |
Re-analysis of public genetic data reveals a rare X-chromosomal variant associated with type 2 diabetes
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Published in |
Nature Communications, January 2018
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DOI | 10.1038/s41467-017-02380-9 |
Pubmed ID | |
Authors |
Sílvia Bonàs-Guarch, Marta Guindo-Martínez, Irene Miguel-Escalada, Niels Grarup, David Sebastian, Elias Rodriguez-Fos, Friman Sánchez, Mercè Planas-Fèlix, Paula Cortes-Sánchez, Santi González, Pascal Timshel, Tune H. Pers, Claire C. Morgan, Ignasi Moran, Goutham Atla, Juan R. González, Montserrat Puiggros, Jonathan Martí, Ehm A. Andersson, Carlos Díaz, Rosa M. Badia, Miriam Udler, Aaron Leong, Varindepal Kaur, Jason Flannick, Torben Jørgensen, Allan Linneberg, Marit E. Jørgensen, Daniel R. Witte, Cramer Christensen, Ivan Brandslund, Emil V. Appel, Robert A. Scott, Jian’an Luan, Claudia Langenberg, Nicholas J. Wareham, Oluf Pedersen, Antonio Zorzano, Jose C Florez, Torben Hansen, Jorge Ferrer, Josep Maria Mercader, David Torrents |
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. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 12 | 22% |
Spain | 7 | 13% |
United Kingdom | 4 | 7% |
Denmark | 3 | 6% |
Sweden | 2 | 4% |
Germany | 1 | 2% |
Finland | 1 | 2% |
France | 1 | 2% |
Mexico | 1 | 2% |
Other | 3 | 6% |
Unknown | 19 | 35% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 29 | 54% |
Scientists | 22 | 41% |
Practitioners (doctors, other healthcare professionals) | 3 | 6% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 151 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 34 | 23% |
Student > Ph. D. Student | 21 | 14% |
Student > Bachelor | 19 | 13% |
Student > Master | 14 | 9% |
Student > Doctoral Student | 8 | 5% |
Other | 17 | 11% |
Unknown | 38 | 25% |
Readers by discipline | Count | As % |
---|---|---|
Biochemistry, Genetics and Molecular Biology | 44 | 29% |
Medicine and Dentistry | 21 | 14% |
Agricultural and Biological Sciences | 20 | 13% |
Nursing and Health Professions | 5 | 3% |
Earth and Planetary Sciences | 3 | 2% |
Other | 13 | 9% |
Unknown | 45 | 30% |