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  • Papandonatos, George DCenter for Statistical Sciences, Brown University, Providence, RI (author)

Genetic Predisposition to Weight Loss and Regain With Lifestyle Intervention : Analyses From the Diabetes Prevention Program and the Look AHEAD Randomized Controlled Trials

  • Article/chapterEnglish2015

Publisher, publication year, extent ...

  • 2015-08-07
  • American Diabetes Association,2015
  • printrdacarrier

Numbers

  • LIBRIS-ID:oai:DiVA.org:umu-113726
  • https://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-113726URI
  • https://doi.org/10.2337/db15-0441DOI
  • https://lup.lub.lu.se/record/7844382URI
  • https://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-489441URI

Supplementary language notes

  • Language:English
  • Summary in:English

Part of subdatabase

Classification

  • Subject category:ref swepub-contenttype
  • Subject category:art swepub-publicationtype

Notes

  • Clinically relevant weight loss is achievable through lifestyle modification, but unintentional weight regain is common. We investigated whether recently discovered genetic variants affect weight loss and/or weight regain during behavioral intervention. Participants at high-risk of type 2 diabetes (Diabetes Prevention Program [DPP]; N = 917/907 intervention/comparison) or with type 2 diabetes (Look AHEAD [Action for Health in Diabetes]; N = 2,014/1,892 intervention/comparison) were from two parallel arm (lifestyle vs. comparison) randomized controlled trials. The associations of 91 established obesity-predisposing loci with weight loss across 4 years and with weight regain across years 2-4 after a minimum of 3% weight loss were tested. Each copy of the minor G allele of MTIF3 rs1885988 was consistently associated with greater weight loss following lifestyle intervention over 4 years across the DPP and Look AHEAD. No such effect was observed across comparison arms, leading to a nominally significant single nucleotide polymorphism x treatment interaction (P = 4.3 x 10-3). However, this effect was not significant at a study-wise significance level (Bonferroni threshold P < 5.8 x 10-4). Most obesity-predisposing gene variants were not associated with weight loss or regain within the DPP and Look AHEAD trials, directly or via interactions with lifestyle.

Subject headings and genre

Added entries (persons, corporate bodies, meetings, titles ...)

  • Pan, QingThe Biostatistics Center, George Washington University, Rockville, MD (author)
  • Pajewski, Nicholas MDepartment of Biostatistical Sciences, Division of Public Health Sciences, Wake Forest School of Medicine, Winston-Salem, NC (author)
  • Delahanty, Linda MDiabetes Research Center (Diabetes Unit), Massachusetts General Hospital, Boston, MA;Department of Medicine, Harvard Medical School, Boston, MA (author)
  • Peter, IngaDepartment of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY (author)
  • Erar, BaharCenter for Statistical Sciences, Brown University, Providence, RI (author)
  • Ahmad, ShafqatLund University,Lunds universitet,Genetisk och molekylär epidemiologi,Forskargrupper vid Lunds universitet,Genetic and Molecular Epidemiology,Lund University Research Groups,Genetic and Molecular Epidemiology Unit, Department of Clinical Sciences, Lund University, Skåne University Hospital Malmö, Malmö, Sweden(Swepub:lu)med-sta (author)
  • Harden, MaeganGenomics Platform, Broad Institute, Cambridge, MA (author)
  • Chen, LingCenter for Human Genetic Research, Massachusetts General Hospital, Boston, MA;Program in Medical and Population Genetics, Broad Institute, Cambridge, MA (author)
  • Fontanillas, PierreCenter for Human Genetic Research, Massachusetts General Hospital, Boston, MA;Program in Medical and Population Genetics, Broad Institute, Cambridge, MA (author)
  • Wagenknecht, Lynne ELook AHEAD Coordinating Center, Division of Public Health Sciences, Wake Forest School of Medicine, Winston-Salem, NC (author)
  • Kahn, Steven EDivision of Metabolism, Endocrinology & Nutrition, Department of Medicine, VA Puget Sound Health Care System and University of Washington, Seattle, WA (author)
  • Wing, Rena RWeight Control and Diabetes Research Center, The Miriam Hospital and The Warren Alpert Medical School of Brown University, Providence, RI (author)
  • Jablonski, Kathleen AThe Biostatistics Center, George Washington University, Rockville, MD (author)
  • Huggins, Gordon SCenter for Translational Genomics, Molecular Cardiology Research Institute, Tufts Medical Center, Boston, MA (author)
  • Knowler, William CNational Institute of Diabetes and Digestive and Kidney Diseases, Phoenix, AZ (author)
  • Florez, Jose CDiabetes Research Center (Diabetes Unit), Massachusetts General Hospital, Boston, MA;Department of Medicine, Harvard Medical School, Boston, MA;Center for Human Genetic Research, Massachusetts General Hospital, Boston, MA;Program in Medical and Population Genetics, Broad Institute, Cambridge, MA (author)
  • McCaffery, Jeanne MWeight Control and Diabetes Research Center, The Miriam Hospital and The Warren Alpert Medical School of Brown University, Providence, RI (author)
  • Franks, Paul WLund University,Lunds universitet,Umeå universitet,Medicin,Genetic and Molecular Epidemiology Unit, Department of Clinical Sciences, Lund University, Skåne University Hospital Malmö, Malmö, Sweden;Department of Public Health and Clinical Medicine, Umeå University, Umeå, Sweden;Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA,Genetisk och molekylär epidemiologi,Forskargrupper vid Lunds universitet,Genetic and Molecular Epidemiology,Lund University Research Groups(Swepub:lu)med-plf (author)
  • Center for Statistical Sciences, Brown University, Providence, RIThe Biostatistics Center, George Washington University, Rockville, MD (creator_code:org_t)

Related titles

  • In:Diabetes: American Diabetes Association64:12, s. 4312-43210012-17971939-327X

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