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Stratifying Type 2 Diabetes Cases by BMI Identifies Genetic Risk Variants in LAMA1 and Enrichment for Risk Variants in Lean Compared to Obese Cases

Author

Listed:
  • John R B Perry
  • Benjamin F Voight
  • Loïc Yengo
  • Najaf Amin
  • Josée Dupuis
  • Martha Ganser
  • Harald Grallert
  • Pau Navarro
  • Man Li
  • Lu Qi
  • Valgerdur Steinthorsdottir
  • Robert A Scott
  • Peter Almgren
  • Dan E Arking
  • Yurii Aulchenko
  • Beverley Balkau
  • Rafn Benediktsson
  • Richard N Bergman
  • Eric Boerwinkle
  • Lori Bonnycastle
  • Noël P Burtt
  • Harry Campbell
  • Guillaume Charpentier
  • Francis S Collins
  • Christian Gieger
  • Todd Green
  • Samy Hadjadj
  • Andrew T Hattersley
  • Christian Herder
  • Albert Hofman
  • Andrew D Johnson
  • Anna Kottgen
  • Peter Kraft
  • Yann Labrune
  • Claudia Langenberg
  • Alisa K Manning
  • Karen L Mohlke
  • Andrew P Morris
  • Ben Oostra
  • James Pankow
  • Ann-Kristin Petersen
  • Peter P Pramstaller
  • Inga Prokopenko
  • Wolfgang Rathmann
  • William Rayner
  • Michael Roden
  • Igor Rudan
  • Denis Rybin
  • Laura J Scott
  • Gunnar Sigurdsson
  • Rob Sladek
  • Gudmar Thorleifsson
  • Unnur Thorsteinsdottir
  • Jaakko Tuomilehto
  • Andre G Uitterlinden
  • Sidonie Vivequin
  • Michael N Weedon
  • Alan F Wright
  • MAGIC
  • DIAGRAM Consortium
  • GIANT Consortium
  • Frank B Hu
  • Thomas Illig
  • Linda Kao
  • James B Meigs
  • James F Wilson
  • Kari Stefansson
  • Cornelia van Duijn
  • David Altschuler
  • Andrew D Morris
  • Michael Boehnke
  • Mark I McCarthy
  • Philippe Froguel
  • Colin N A Palmer
  • Nicholas J Wareham
  • Leif Groop
  • Timothy M Frayling
  • Stéphane Cauchi

Abstract

Common diseases such as type 2 diabetes are phenotypically heterogeneous. Obesity is a major risk factor for type 2 diabetes, but patients vary appreciably in body mass index. We hypothesized that the genetic predisposition to the disease may be different in lean (BMI

Suggested Citation

  • John R B Perry & Benjamin F Voight & Loïc Yengo & Najaf Amin & Josée Dupuis & Martha Ganser & Harald Grallert & Pau Navarro & Man Li & Lu Qi & Valgerdur Steinthorsdottir & Robert A Scott & Peter Almgr, 2012. "Stratifying Type 2 Diabetes Cases by BMI Identifies Genetic Risk Variants in LAMA1 and Enrichment for Risk Variants in Lean Compared to Obese Cases," PLOS Genetics, Public Library of Science, vol. 8(5), pages 1-14, May.
    • Handle: RePEc:plo:pgen00:1002741
    DOI: 10.1371/journal.pgen.1002741
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    Cited by:

    1. Hui Cheng & Xiao Yu & Yu-Ting Li & Zhihui Jia & Jia-Ji Wang & Yao-Jie Xie & Jose Hernandez & Harry H. X. Wang & Hua-Feng Wu, 2023. "Association between METS-IR and Prediabetes or Type 2 Diabetes Mellitus among Elderly Subjects in China: A Large-Scale Population-Based Study," IJERPH, MDPI, vol. 20(2), pages 1-10, January.
    2. Jennifer E Huffman & Eva Albrecht & Alexander Teumer & Massimo Mangino & Karen Kapur & Toby Johnson & Zoltán Kutalik & Nicola Pirastu & Giorgio Pistis & Lorna M Lopez & Toomas Haller & Perttu Salo & A, 2015. "Modulation of Genetic Associations with Serum Urate Levels by Body-Mass-Index in Humans," PLOS ONE, Public Library of Science, vol. 10(3), pages 1-21, March.
    3. Zhenzhu Tang & Zhifeng Fang & Wei Huang & Zhanhua Liu & Yuzhu Chen & Zhongyou Li & Ting Zhu & Qichun Wang & Steve Simpson & Bruce V. Taylor & Rui Lin, 2016. "Non-Obese Diabetes and Its Associated Factors in an Underdeveloped Area of South China, Guangxi," IJERPH, MDPI, vol. 13(10), pages 1-12, September.
    4. Ren Matsuba & Kensuke Sakai & Minako Imamura & Yasushi Tanaka & Minoru Iwata & Hiroshi Hirose & Kohei Kaku & Hiroshi Maegawa & Hirotaka Watada & Kazuyuki Tobe & Atsunori Kashiwagi & Ryuzo Kawamori & S, 2015. "Replication Study in a Japanese Population to Evaluate the Association between 10 SNP Loci, Identified in European Genome-Wide Association Studies, and Type 2 Diabetes," PLOS ONE, Public Library of Science, vol. 10(5), pages 1-13, May.

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