IDEAS home Printed from https://ideas.repec.org/a/plo/pone00/0119752.html
   My bibliography  Save this article

Modulation of Genetic Associations with Serum Urate Levels by Body-Mass-Index in Humans

Author

Listed:
  • 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
  • Anuj Goel
  • Man Li
  • Toshiko Tanaka
  • Abbas Dehghan
  • Daniela Ruggiero
  • Giovanni Malerba
  • Albert V Smith
  • Ilja M Nolte
  • Laura Portas
  • Amanda Phipps-Green
  • Lora Boteva
  • Pau Navarro
  • Asa Johansson
  • Andrew A Hicks
  • Ozren Polasek
  • Tõnu Esko
  • John F Peden
  • Sarah E Harris
  • Federico Murgia
  • Sarah H Wild
  • Albert Tenesa
  • Adrienne Tin
  • Evelin Mihailov
  • Anne Grotevendt
  • Gauti K Gislason
  • Josef Coresh
  • Pio D'Adamo
  • Sheila Ulivi
  • Peter Vollenweider
  • Gerard Waeber
  • Susan Campbell
  • Ivana Kolcic
  • Krista Fisher
  • Margus Viigimaa
  • Jeffrey E Metter
  • Corrado Masciullo
  • Elisabetta Trabetti
  • Cristina Bombieri
  • Rossella Sorice
  • Angela Döring
  • Eva Reischl
  • Konstantin Strauch
  • Albert Hofman
  • Andre G Uitterlinden
  • Melanie Waldenberger
  • H-Erich Wichmann
  • Gail Davies
  • Alan J Gow
  • Nicola Dalbeth
  • Lisa Stamp
  • Johannes H Smit
  • Mirna Kirin
  • Ramaiah Nagaraja
  • Matthias Nauck
  • Claudia Schurmann
  • Kathrin Budde
  • Susan M Farrington
  • Evropi Theodoratou
  • Antti Jula
  • Veikko Salomaa
  • Cinzia Sala
  • Christian Hengstenberg
  • Michel Burnier
  • Reedik Mägi
  • Norman Klopp
  • Stefan Kloiber
  • Sabine Schipf
  • Samuli Ripatti
  • Stefano Cabras
  • Nicole Soranzo
  • Georg Homuth
  • Teresa Nutile
  • Patricia B Munroe
  • Nicholas Hastie
  • Harry Campbell
  • Igor Rudan
  • Claudia Cabrera
  • Chris Haley
  • Oscar H Franco
  • Tony R Merriman
  • Vilmundur Gudnason
  • Mario Pirastu
  • Brenda W Penninx
  • Harold Snieder
  • Andres Metspalu
  • Marina Ciullo
  • Peter P Pramstaller
  • Cornelia M van Duijn
  • Luigi Ferrucci
  • Giovanni Gambaro
  • Ian J Deary
  • Malcolm G Dunlop
  • James F Wilson
  • Paolo Gasparini
  • Ulf Gyllensten
  • Tim D Spector
  • Alan F Wright
  • Caroline Hayward
  • Hugh Watkins
  • Markus Perola
  • Murielle Bochud
  • W H Linda Kao
  • Mark Caulfield
  • Daniela Toniolo
  • Henry Völzke
  • Christian Gieger
  • Anna Köttgen
  • Veronique Vitart

Abstract

We tested for interactions between body mass index (BMI) and common genetic variants affecting serum urate levels, genome-wide, in up to 42569 participants. Both stratified genome-wide association (GWAS) analyses, in lean, overweight and obese individuals, and regression-type analyses in a non BMI-stratified overall sample were performed. The former did not uncover any novel locus with a major main effect, but supported modulation of effects for some known and potentially new urate loci. The latter highlighted a SNP at RBFOX3 reaching genome-wide significant level (effect size 0.014, 95% CI 0.008-0.02, Pinter= 2.6 x 10-8). Two top loci in interaction term analyses, RBFOX3 and ERO1LB-EDARADD, also displayed suggestive differences in main effect size between the lean and obese strata. All top ranking loci for urate effect differences between BMI categories were novel and most had small magnitude but opposite direction effects between strata. They include the locus RBMS1-TANK (men, Pdifflean-overweight= 4.7 x 10-8), a region that has been associated with several obesity related traits, and TSPYL5 (men, Pdifflean-overweight= 9.1 x 10-8), regulating adipocytes-produced estradiol. The top-ranking known urate loci was ABCG2, the strongest known gout risk locus, with an effect halved in obese compared to lean men (Pdifflean-obese= 2 x 10-4). Finally, pathway analysis suggested a role for N-glycan biosynthesis as a prominent urate-associated pathway in the lean stratum. These results illustrate a potentially powerful way to monitor changes occurring in obesogenic environment.

Suggested Citation

  • 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.
  • Handle: RePEc:plo:pone00:0119752
    DOI: 10.1371/journal.pone.0119752
    as

    Download full text from publisher

    File URL: https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0119752
    Download Restriction: no

    File URL: https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0119752&type=printable
    Download Restriction: no

    File URL: https://libkey.io/10.1371/journal.pone.0119752?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. 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.
    2. Dana B Hancock & María Soler Artigas & Sina A Gharib & Amanda Henry & Ani Manichaikul & Adaikalavan Ramasamy & Daan W Loth & Medea Imboden & Beate Koch & Wendy L McArdle & Albert V Smith & Joanna Smol, 2012. "Genome-Wide Joint Meta-Analysis of SNP and SNP-by-Smoking Interaction Identifies Novel Loci for Pulmonary Function," PLOS Genetics, Public Library of Science, vol. 8(12), pages 1-1, December.
    3. Arend Voorman & Thomas Lumley & Barbara McKnight & Kenneth Rice, 2011. "Behavior of QQ-Plots and Genomic Control in Studies of Gene-Environment Interaction," PLOS ONE, Public Library of Science, vol. 6(5), pages 1-7, May.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Zihuai He & Min Zhang & Seunggeun Lee & Jennifer A. Smith & Sharon L. R. Kardia & V. Diez Roux & Bhramar Mukherjee, 2017. "Set-Based Tests for the Gene–Environment Interaction in Longitudinal Studies," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 112(519), pages 966-978, July.
    2. Wei Zhao & Erin B. Ware & Zihuai He & Sharon L. R. Kardia & Jessica D. Faul & Jennifer A. Smith, 2017. "Interaction between Social/Psychosocial Factors and Genetic Variants on Body Mass Index: A Gene-Environment Interaction Analysis in a Longitudinal Setting," IJERPH, MDPI, vol. 14(10), pages 1-17, September.
    3. Thomas W Winkler & Anne E Justice & L Adrienne Cupples & Florian Kronenberg & Zoltán Kutalik & Iris M Heid & the GIANT consortium, 2017. "Approaches to detect genetic effects that differ between two strata in genome-wide meta-analyses: Recommendations based on a systematic evaluation," PLOS ONE, Public Library of Science, vol. 12(7), pages 1-23, July.
    4. 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.
    5. 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.
    6. 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.
    7. Rajita Menon & Vivek Ramanan & Kirill S Korolev, 2018. "Interactions between species introduce spurious associations in microbiome studies," PLOS Computational Biology, Public Library of Science, vol. 14(1), pages 1-20, January.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:plo:pone00:0119752. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: plosone (email available below). General contact details of provider: https://journals.plos.org/plosone/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.