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

  • 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
  • Barcelona Supercomputing Center (BSC), Joint BSC-CRG-IRB Research Program in Computational Biology, 08034, Barcelona, Spain.
  • Imperial College London
  • Københavns Universitet
  • Departament de Bioquímica i Biomedicina Molecular, Facultat de Biologia, Universitat de Barcelona, 08028, Barcelona, Spain.
  • Barcelona Supercomputing Center (BSC-CNS)
  • Statens Serum Institut
  • Broad Institute
  • Pompeu Fabra University
  • Artificial Intelligence Research Institute (IIIA), Spanish Council for Scientific Research (CSIC), 28006, Madrid, Spain.
  • Massachusetts General Hospital
  • Aalborg Universitet
  • Rigshospitalet
  • Danish Diabetes Academy
  • University of Cambridge
  • Harvard Medical School
  • Catalan Institution for Research and Advanced Studies
  • Genomic Programming of Beta-cells Laboratory, Institut d’Investigacions August Pi i Sunyer (IDIBAPS), 08036, Barcelona, Spain
  • Instituto de Salud Carlos III
  • Barcelona Institute of Science and Technology
  • Boston Children's Hospital
  • CREAL
  • CIBER Epidemiología y Salud Pública (CIBERESP), 28029, Madrid, Spain
  • Region Hovedstaden
  • Steno Diabetes Center Copenhagen
  • Aarhus Universitet

Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › peer review

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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.

OriginalsprogEngelsk
Artikelnummer321
TidsskriftNature Communications
Vol/bind9
Udgave nummer1
Antal sider14
ISSN2041-1723
DOI
StatusUdgivet - 1. dec. 2018

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