{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"submitter":["Scott RA"],"funding":["NCATS NIH HHS","British Heart Foundation","NCRR NIH HHS","NIDDK NIH HHS","Medical Research Council","NHLBI NIH HHS","NHGRI NIH HHS","National Institute for Health Research (NIHR)","Novo Nordisk Fonden"],"pagination":["1291-6"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC3331745"],"repository":["biostudies-literature"],"omics_type":["Unknown"],"volume":["61(5)"],"pubmed_abstract":["Gene-lifestyle interactions have been suggested to contribute to the development of type 2 diabetes. Glucose levels 2 h after a standard 75-g glucose challenge are used to diagnose diabetes and are associated with both genetic and lifestyle factors. However, whether these factors interact to determine 2-h glucose levels is unknown. We meta-analyzed single nucleotide polymorphism (SNP) × BMI and SNP × physical activity (PA) interaction regression models for five SNPs previously associated with 2-h glucose levels from up to 22 studies comprising 54,884 individuals without diabetes. PA levels were dichotomized, with individuals below the first quintile classified as inactive (20%) and the remainder as active (80%). BMI was considered a continuous trait. Inactive individuals had higher 2-h glu"],"journal":["Diabetes"],"pubmed_title":["No interactions between previously associated 2-hour glucose gene variants and physical activity or BMI on 2-hour glucose levels."],"pmcid":["PMC3331745"],"funding_grant_id":["MC_U147585824","U1475000001","U1475000002","G0600717","RG/07/008/23674","P30 DK020572","T32 HL007575","UL1 RR025741","R01 DK072041","T32 HG000040","G0902037","G0100222","MC_U106179473","MC_UP_A620_1014","MC_UP_A620_1015","UL1 TR000124","NNF11OC1014855","MC_UP_A100_1003","G1002084","MC_U106179471","G8802774","NF-SI-0508-10082","G0701863","UL1 RR024148","G19/35","G0600717B","K24 DK080140","P30 DK063491"],"pubmed_authors":["Psaty BM","Florez JC","Chen YD","Siscovick DS","Rice K","Dowling NF","Stancakova A","Tonjes A","Kao WH","Bornstein SR","Forouhi NG","Groop L","Walker M","Loos RJ","Hivert MF","Pankow JS","Scott RA","Laakso M","Bergmann S","Collins FS","Franks PW","Bouatia-Naji N","Jackson AU","Carlson OD","Sandholt CH","Fox CS","Meigs JB","Watanabe RM","Tanaka T","Rasmussen-Torvik LJ","Wareham NJ","Yesupriya A","Brage S","Bonnycastle LL","Witte DR","Teslovich TM","Kuusisto J","Levy-Marchal C","Boehnke M","Arking DE","Vollenweider P","Grarup N","Hingorani A","Renstrom F","Shrader P","Johansson I","Brunner E","Schwarz PE","Manning AK","Dennison EM","Lyssenko V","Rotter JI","Dupuis J","Boerwinkle E","Chu AY","Williams GH","Stumvoll M","Jonsson A","Prokopenko I","Wood AR","Ferrucci L","Shungin D","Gustafsson S","Hallmans G","Marques-Vidal P","Lecoeur C","Li G","Xie W","Barroso I","Hu FB","Erdos MR","Chen H","Rybin D","Waeber G","Lagou V","Marek D","Couper DJ","Goodarzi MO","Muller G","Barnes D","Egan JS","Chines PS","Kutalik Z","Bumpstead SJ","Morken MA","Ingelsson E","Ekelund U","Kivimaki M","Isomaa B","Grassler J","Stringham HM","Kovacs P","Pedersen O","Langenberg C","Payne F","Hansen T","Marmot M","Sayer AA","Jameson KA","Jorgensen T","Glazer NL","Aadahl M","Cooper C","Froguel P","Holloway JW","Kumari M","North KE"],"additional_accession":[]},"is_claimable":false,"name":"No interactions between previously associated 2-hour glucose gene variants and physical activity or BMI on 2-hour glucose levels.","description":"Gene-lifestyle interactions have been suggested to contribute to the development of type 2 diabetes. Glucose levels 2 h after a standard 75-g glucose challenge are used to diagnose diabetes and are associated with both genetic and lifestyle factors. However, whether these factors interact to determine 2-h glucose levels is unknown. We meta-analyzed single nucleotide polymorphism (SNP) × BMI and SNP × physical activity (PA) interaction regression models for five SNPs previously associated with 2-h glucose levels from up to 22 studies comprising 54,884 individuals without diabetes. PA levels were dichotomized, with individuals below the first quintile classified as inactive (20%) and the remainder as active (80%). BMI was considered a continuous trait. Inactive individuals had higher 2-h glu","dates":{"release":"2012-01-01T00:00:00Z","publication":"2012 May","modification":"2026-04-29T23:13:14.292Z","creation":"2026-04-21T03:09:02.291Z"},"accession":"S-EPMC3331745","cross_references":{"pubmed":["22415877"],"doi":["10.2337/db11-0973"]}}