View Item 

Show simple item record

Is the adiposity‐associated FTO gene variant related to all‐cause mortality independent of adiposity? Meta‐analysis of data from 169,551 Caucasian adults
dc.contributor.authorZimmermann, E.en_US
dc.contributor.authorÄngquist, L. H.en_US
dc.contributor.authorMirza, S. S.en_US
dc.contributor.authorZhao, J. H.en_US
dc.contributor.authorChasman, D. I.en_US
dc.contributor.authorFischer, K.en_US
dc.contributor.authorQi, Q.en_US
dc.contributor.authorSmith, A. V.en_US
dc.contributor.authorThinggaard, M.en_US
dc.contributor.authorJarczok, M. N.en_US
dc.contributor.authorNalls, M. A.en_US
dc.contributor.authorTrompet, S.en_US
dc.contributor.authorTimpson, N. J.en_US
dc.contributor.authorSchmidt, B.en_US
dc.contributor.authorJackson, A. U.en_US
dc.contributor.authorLyytikäinen, L. P.en_US
dc.contributor.authorVerweij, N.en_US
dc.contributor.authorMueller‐nurasyid, M.en_US
dc.contributor.authorVikström, M.en_US
dc.contributor.authorMarques‐vidal, P.en_US
dc.contributor.authorWong, A.en_US
dc.contributor.authorMeidtner, K.en_US
dc.contributor.authorMiddelberg, R. P.en_US
dc.contributor.authorStrawbridge, R. J.en_US
dc.contributor.authorChristiansen, L.en_US
dc.contributor.authorOrho‐melander, M.en_US
dc.contributor.authorKyvik, K. O.en_US
dc.contributor.authorHamsten, A.en_US
dc.contributor.authorJääskeläinen, T.en_US
dc.contributor.authorTjønneland, A.en_US
dc.contributor.authorEriksson, J. G.en_US
dc.contributor.authorWhitfield, J. B.en_US
dc.contributor.authorBoeing, H.en_US
dc.contributor.authorHardy, R.en_US
dc.contributor.authorVollenweider, P.en_US
dc.contributor.authorLeander, K.en_US
dc.contributor.authorPeters, A.en_US
dc.contributor.authorHarst, P.en_US
dc.contributor.authorKumari, M.en_US
dc.contributor.authorLehtimäki, T.en_US
dc.contributor.authorMeirhaeghe, A.en_US
dc.contributor.authorTuomilehto, J.en_US
dc.contributor.authorJöckel, K.‐h.en_US
dc.contributor.authorBen‐shlomo, Y.en_US
dc.contributor.authorSattar, N.en_US
dc.contributor.authorBaumeister, S. E.en_US
dc.contributor.authorDavey Smith, G.en_US
dc.contributor.authorCasas, J. P.en_US
dc.contributor.authorHouston, D. K.en_US
dc.contributor.authorMärz, W.en_US
dc.contributor.authorChristensen, K.en_US
dc.contributor.authorGudnason, V.en_US
dc.contributor.authorHu, F. B.en_US
dc.contributor.authorMetspalu, A.en_US
dc.contributor.authorRidker, P. M.en_US
dc.contributor.authorWareham, N. J.en_US
dc.contributor.authorLoos, R. J. F.en_US
dc.contributor.authorTiemeier, H.en_US
dc.contributor.authorSonestedt, E.en_US
dc.contributor.authorSørensen, T. I. A.en_US
dc.date.accessioned2015-04-02T15:12:17Z
dc.date.available2016-05-10T20:26:28Zen
dc.date.issued2015-04en_US
dc.identifier.citationZimmermann, E.; Ängquist, L. H. ; Mirza, S. S.; Zhao, J. H.; Chasman, D. I.; Fischer, K.; Qi, Q.; Smith, A. V.; Thinggaard, M.; Jarczok, M. N.; Nalls, M. A.; Trompet, S.; Timpson, N. J.; Schmidt, B.; Jackson, A. U.; Lyytikäinen, L. P. ; Verweij, N.; Mueller‐nurasyid, M. ; Vikström, M. ; Marques‐vidal, P. ; Wong, A.; Meidtner, K.; Middelberg, R. P.; Strawbridge, R. J.; Christiansen, L.; Orho‐melander, M. ; Kyvik, K. O.; Hamsten, A.; Jääskeläinen, T. ; Tjønneland, A. ; Eriksson, J. G.; Whitfield, J. B.; Boeing, H.; Hardy, R.; Vollenweider, P.; Leander, K.; Peters, A.; Harst, P.; Kumari, M.; Lehtimäki, T. ; Meirhaeghe, A.; Tuomilehto, J.; Jöckel, K.‐h. ; Ben‐shlomo, Y. ; Sattar, N.; Baumeister, S. E.; Davey Smith, G.; Casas, J. P.; Houston, D. K.; März, W. ; Christensen, K.; Gudnason, V.; Hu, F. B.; Metspalu, A.; Ridker, P. M.; Wareham, N. J.; Loos, R. J. F.; Tiemeier, H.; Sonestedt, E.; Sørensen, T. I. A. (2015). "Is the adiposityâ associated FTO gene variant related to allâ cause mortality independent of adiposity? Metaâ analysis of data from 169,551 Caucasian adults." Obesity Reviews (4): 327-340.en_US
dc.identifier.issn1467-7881en_US
dc.identifier.issn1467-789Xen_US
dc.identifier.urihttps://hdl.handle.net/2027.42/110836
dc.publisherJohn Wiley & Sons, Ltden_US
dc.subject.othermeta‐analysisen_US
dc.subject.otherobesityen_US
dc.subject.othermortalityen_US
dc.subject.otherFTOen_US
dc.titleIs the adiposity‐associated FTO gene variant related to all‐cause mortality independent of adiposity? Meta‐analysis of data from 169,551 Caucasian adultsen_US
dc.typeArticleen_US
dc.rights.robotsIndexNoFollowen_US
dc.subject.hlbsecondlevelMedicine (General)en_US
dc.subject.hlbtoplevelHealth Sciencesen_US
dc.description.peerreviewedPeer Revieweden_US
dc.description.bitstreamurlhttp://deepblue.lib.umich.edu/bitstream/2027.42/110836/1/obr12263.pdf
dc.identifier.doi10.1111/obr.12263en_US
dc.identifier.sourceObesity Reviewsen_US
dc.identifier.citedreferenceFirmann M, Mayor V, Vidal PM et al. The CoLaus study: a population‐based study to investigate the epidemiology and genetic determinants of cardiovascular risk factors and metabolic syndrome. BMC Cardiovasc Disord 2008; 8: 6.en_US
dc.identifier.citedreferenceRimm EB, Stampfer MJ, Colditz GA, Giovannucci E, Willett WC. Effectiveness of various mailing strategies among nonrespondents in a prospective cohort study. Am J Epidemiol 1990; 131: 1068 – 1071.en_US
dc.identifier.citedreferenceSchmermund A, Mohlenkamp S, Stang A et al. Assessment of clinically silent atherosclerotic disease and established and novel risk factors for predicting myocardial infarction and cardiac death in healthy middle‐aged subjects: rationale and design of the Heinz Nixdorf RECALL Study. Risk Factors, Evaluation of Coronary Calcium and Lifestyle. Am Heart J 2002; 144: 212 – 218.en_US
dc.identifier.citedreferenceYliharsila H, Kajantie E, Osmond C, Forsen T, Barker DJ, Eriksson JG. Birth size, adult body composition and muscle strength in later life. Int J Obes (Lond) 2007; 31: 1392 – 1399.en_US
dc.identifier.citedreferenceBenyamin B, Sørensen TIA, Schousboe K, Fenger M, Visscher PM, Kyvik KO. Are there common genetic and environmental factors behind the endophenotypes associated with the metabolic syndrome? Diabetologia 2007; 50: 1880 – 1888.en_US
dc.identifier.citedreferenceScott LJ, Mohlke KL, Bonnycastle LL et al. A genome‐wide association study of type 2 diabetes in Finns detects multiple susceptibility variants. Science 2007; 316: 1341 – 1345.en_US
dc.identifier.citedreferenceEriksson J, Lindstrom J, Valle T et al. Prevention of Type II diabetes in subjects with impaired glucose tolerance: the Diabetes Prevention Study (DPS) in Finland. Study design and 1‐year interim report on the feasibility of the lifestyle intervention programme. Diabetologia 1999; 42: 793 – 801.en_US
dc.identifier.citedreferenceNieminen T, Lehtinen R, Viik J et al. The Finnish Cardiovascular Study (FINCAVAS): characterising patients with high risk of cardiovascular morbidity and mortality. BMC Cardiovasc Disord 2006; 6: 9.en_US
dc.identifier.citedreferenceBoeing H, Wahrendorf J, Becker N. EPIC‐Germany – A source for studies into diet and risk of chronic diseases. European Investigation into Cancer and Nutrition. Ann Nutr Metab 1999; 43: 195 – 204.en_US
dc.identifier.citedreferenceDay N, Oakes S, Luben R et al. EPIC‐Norfolk: study design and characteristics of the cohort. European Prospective Investigation of Cancer. Br J Cancer 1999; 80 ( Suppl. 1 ): 95 – 103.en_US
dc.identifier.citedreferenceLeitsalu L, Haller T, Esko T et al. Cohort Profile: Estonian Biobank of the Estonian Genome Center, University of Tartu. Int J Epidemiol 2014 [Epub ahead of print].en_US
dc.identifier.citedreferenceTjonneland A, Olsen A, Boll K et al. Study design, exposure variables, and socioeconomic determinants of participation in Diet, Cancer and Health: a population‐based prospective cohort study of 57,053 men and women in Denmark. Scand J Public Health 2007; 35: 432 – 441.en_US
dc.identifier.citedreferenceFrayling TM, Timpson NJ, Weedon MN et al. A common variant in the FTO gene is associated with body mass index and predisposes to childhood and adult obesity. Science 2007; 316: 889 – 894.en_US
dc.identifier.citedreferenceDina C, Meyre D, Gallina S et al. Variation in FTO contributes to childhood obesity and severe adult obesity. Nat Genet 2007; 39: 724 – 726.en_US
dc.identifier.citedreferenceScuteri A, Sanna S, Chen WM et al. Genome‐wide association scan shows genetic variants in the FTO gene are associated with obesity‐related traits. PLoS Genet 2007; 3: e115.en_US
dc.identifier.citedreferenceKring SI, Holst C, Zimmermann E et al. FTO gene associated fatness in relation to body fat distribution and metabolic traits throughout a broad range of fatness. PLoS ONE 2008; 3: e2958.en_US
dc.identifier.citedreferenceNordestgaard BG, Palmer TM, Benn M et al. The effect of elevated body mass index on ischemic heart disease risk: causal estimates from a Mendelian randomisation approach. PLoS Med 2012; 9: e1001212.en_US
dc.identifier.citedreferenceTimpson NJ, Harbord R, Davey SG, Zacho J, Tybjaerg‐Hansen A, Nordestgaard BG. Does greater adiposity increase blood pressure and hypertension risk?: mendelian randomization using the FTO/MC4R genotype. Hypertension 2009; 54: 84 – 90.en_US
dc.identifier.citedreferenceTimpson NJ, Nordestgaard BG, Harbord RM et al. C‐reactive protein levels and body mass index: elucidating direction of causation through reciprocal Mendelian randomization. Int J Obes (Lond) 2011; 35: 300 – 308.en_US
dc.identifier.citedreferenceDavey SG, Sterne JA, Fraser A, Tynelius P, Lawlor DA, Rasmussen F. The association between BMI and mortality using offspring BMI as an indicator of own BMI: large intergenerational mortality study. BMJ 2009; 339: b5043.en_US
dc.identifier.citedreferenceZimmermann E, Kring SI, Berentzen TL et al. Fatness‐associated FTO gene variant increases mortality independent of fatness – in cohorts of Danish men. PLoS ONE 2009; 4: e4428.en_US
dc.identifier.citedreferenceHarris TB, Launer LJ, Eiriksdottir G et al. Age, gene/environment Susceptibility‐Reykjavik study: multidisciplinary applied phenomics. Am J Epidemiol 2007; 165: 1076 – 1087.en_US
dc.identifier.citedreferenceBenyamin B, Ferreira MA, Willemsen G et al. Common variants in TMPRSS6 are associated with iron status and erythrocyte volume. Nat Genet 2009; 41: 1173 – 1175.en_US
dc.identifier.citedreferenceLawlor DA, Bedford C, Taylor M, Ebrahim S. Geographical variation in cardiovascular disease, risk factors, and their control in older women: British Women's Heart and Health Study. J Epidemiol Community Health 2003; 57: 134 – 140.en_US
dc.identifier.citedreferenceYarnell JWG, Elwood PC, Sweetnan PM. Caerphilly and Speedwell collaborative heart disease studies. The Caerphilly and Speedwell Collaborative Group. J Epidemiol Community Health 1984; 38: 259 – 262.en_US
dc.identifier.citedreferenceNybo H, Gaist D, Jeune B et al. The Danish 1905 cohort: a genetic‐epidemiological nationwide survey. J Aging Health 2001; 13: 32 – 46.en_US
dc.identifier.citedreferenceLawlor DA, Harbord RM, Sterne JA, Timpson N, Davey SG. Mendelian randomization: using genes as instruments for making causal inferences in epidemiology. Stat Med 2008; 27: 1133 – 1163.en_US
dc.identifier.citedreferenceHeard‐Costa NL, Zillikens MC, Monda KL et al. NRXN3 is a novel locus for waist circumference: a genome‐wide association study from the CHARGE Consortium. PLoS Genet 2009; 5: e1000539.en_US
dc.identifier.citedreferenceThorleifsson G, Walters GB, Gudbjartsson DF et al. Genome‐wide association yields new sequence variants at seven loci that associate with measures of obesity. Nat Genet 2009; 41: 18 – 24.en_US
dc.identifier.citedreferenceLoos RJ, Lindgren CM, Li S et al. Common variants near MC4R are associated with fat mass, weight and risk of obesity. Nat Genet 2008; 40: 768 – 775.en_US
dc.identifier.citedreferenceLi H, Kilpelainen TO, Liu C et al. Association of genetic variation in FTO with risk of obesity and type 2 diabetes with data from 96,551 East and South Asians. Diabetologia 2012; 55: 981 – 995.en_US
dc.identifier.citedreferenceHertel JK, Johansson S, Sonestedt E et al. FTO, type 2 diabetes, and weight gain throughout adult life: a meta‐analysis of 41,504 subjects from the Scandinavian HUNT, MDC, and MPP studies. Diabetes 2011; 60: 1637 – 1644.en_US
dc.identifier.citedreferenceLiu C, Mou S, Pan C. The FTO gene rs9939609 polymorphism predicts risk of cardiovascular disease: a systematic review and meta‐analysis. PLoS ONE 2013; 8: e71901.en_US
dc.identifier.citedreferenceHiggins JP, Thompson SG, Deeks JJ, Altman DG. Measuring inconsistency in meta‐analyses. BMJ 2003; 327: 557 – 560.en_US
dc.identifier.citedreferenceSterne JAC (ed). Meta‐Analysis in Stata: An Updated Collection from the Stata Journal. Stata Press: College Station, TX, 2009.en_US
dc.identifier.citedreferenceDerSimonian R, Laird N. Meta‐analysis in clinical trials. Control Clin Trials 1986; 7: 177 – 188.en_US
dc.identifier.citedreferenceBorenstein M, Hedges L, Higgins J, Rothstein H. Introduction to Meta‐Analysis. John Wiley & Sons, Ltd: West Sussex, 2009.en_US
dc.identifier.citedreferenceSchoenfeld D. Chi‐squared goodness of fit tests for the proportional hazards regression model. Biometrika 1980; 67: 145 – 153.en_US
dc.identifier.citedreferenceBigaard J, Frederiksen K, Tjonneland A et al. Waist circumference and body composition in relation to all‐cause mortality in middle‐aged men and women. Int J Obes (Lond) 2005; 29: 778 – 784.en_US
dc.identifier.citedreferencePischon T, Boeing H, Hoffmann K et al. General and abdominal adiposity and risk of death in Europe. N Engl J Med 2008; 359: 2105 – 2120.en_US
dc.identifier.citedreferenceCerhan JR, Moore SC, Jacobs EJ et al. A pooled analysis of waist circumference and mortality in 650,000 adults. Mayo Clin Proc 2014; 89: 335 – 345.en_US
dc.identifier.citedreferenceBigaard J, Tjonneland A, Thomsen BL, Overvad K, Heitmann BL, Sørensen TIA. Waist circumference, BMI, smoking, and mortality in middle‐aged men and women. Obes Res 2003; 11: 895 – 903.en_US
dc.identifier.citedreferenceBigaard J, Frederiksen K, Tjonneland A et al. Body fat and fat‐free mass and all‐cause mortality. Obes Res 2004; 12: 1042 – 1049.en_US
dc.identifier.citedreferenceProspective Studies Collaboration, Whitlock G, Lewington S et al. Body‐mass index and cause‐specific mortality in 900,000 adults: collaborative analyses of 57 prospective studies. Lancet 2009; 373: 1083 – 1096.en_US
dc.identifier.citedreferenceBerrington de Gonzalez A, Hartge P, Cerhan JR et al. Body‐mass index and mortality among 1.46 million white adults. N Engl J Med 2010; 363: 2211 – 2219.en_US
dc.identifier.citedreferenceMarmot M, Brunner E. Cohort profile: the Whitehall II study. Int J Epidemiol 2005; 34: 251 – 256.en_US
dc.identifier.citedreferenceRidker PM, Chasman DI, Zee RY et al. Rationale, design, and methodology of the Women's Genome Health Study: a genome‐wide association study of more than 25,000 initially healthy American women. Clin Chem 2008; 54: 249 – 255.en_US
dc.identifier.citedreferenceVolzke H, Alte D, Schmidt CO et al. Cohort profile: the study of health in Pomerania. Int J Epidemiol 2011; 40: 294 – 307.en_US
dc.identifier.citedreferenceReuterwall C, Hallqvist J, Ahlbom A et al. Higher relative, but lower absolute risks of myocardial infarction in women than in men: analysis of some major risk factors in the SHEEP study. The SHEEP Study Group. J Intern Med 1999; 246: 161 – 174.en_US
dc.identifier.citedreferenceSaramies J. Risk factors of type 2 diabetes and screening of abnormal glucose metabolism in primary health care. Ph.D. thesis. Acta Univ Oul 2004; D812.en_US
dc.identifier.citedreferenceHofman A, Darwish MS, van Duijn CM et al. The Rotterdam Study: 2014 objectives and design update. Eur J Epidemiol 2013; 28: 889 – 926.en_US
dc.identifier.citedreferenceShepherd J, Blauw GJ, Murphy MB et al. The design of a prospective study of Pravastatin in the Elderly at Risk (PROSPER). PROSPER Study Group. PROspective Study of Pravastatin in the Elderly at Risk. Am J Cardiol 1999; 84: 1192 – 1197.en_US
dc.identifier.citedreferencePinto‐Sietsma SJ, Janssen WM, Hillege HL, Navis G, De ZD, De Jong PE. Urinary albumin excretion is associated with renal functional abnormalities in a nondiabetic population. J Am Soc Nephrol 2000; 11: 1882 – 1888.en_US
dc.identifier.citedreferenceWadsworth M, Kuh D, Richards M, Hardy R. Cohort Profile: The 1946 National Birth Cohort (MRC National Survey of Health and Development). Int J Epidemiol 2006; 35: 49 – 54.en_US
dc.identifier.citedreferenceRousseau K, Vinall LE, Butterworth SL et al. MUC7 haplotype analysis: results from a longitudinal birth cohort support protective effect of the MUC7*5 allele on respiratory function. Ann Hum Genet 2006; 70: 417 – 427.en_US
dc.identifier.citedreferenceColditz GA, Manson JE, Hankinson SE. The Nurses' Health Study: 20‐year contribution to the understanding of health among women. J Womens Health 1997; 6: 49 – 62.en_US
dc.identifier.citedreferenceStewart AW, Kuulasma K, Beaglehole R. Ecological analysis of the association between mortality and major risk factors of cardiovascular disease. The World Health Organization MONICA Project. Int J Epidemiol 1994; 23: 505 – 516.en_US
dc.identifier.citedreferenceManjer J, Carlsson S, Elmstahl S et al. The Malmo Diet and Cancer Study: representativity, cancer incidence and mortality in participants and non‐participants. Eur J Cancer Prev 2001; 10: 489 – 499.en_US
dc.identifier.citedreferenceWinkelmann BR, Marz W, Boehm BO et al. Rationale and design of the LURIC study – a resource for functional genomics, pharmacogenomics and long‐term prognosis of cardiovascular disease. Pharmacogenomics 2001; 2: S1 – S73.en_US
dc.identifier.citedreferenceHolle R, Happich M, Lowel H, Wichmann HE. KORA – a research platform for population based health research. Gesundheitswesen 2005; 67 ( Suppl. 1 ): S19 – S25.en_US
dc.identifier.citedreferenceBaldassarre D, Nyyssonen K, Rauramaa R et al. Cross‐sectional analysis of baseline data to identify the major determinants of carotid intima‐media thickness in a European population: the IMPROVE study. Eur Heart J 2010; 31: 614 – 622.en_US
dc.owningcollnameInterdisciplinary and Peer-Reviewed


Files in this item

Name:
obr12263.pdf
Size:
283.5KB
Format:
PDF
View/Open

Show simple item record

Remediation of Harmful Language

The University of Michigan Library aims to describe library materials in a way that respects the people and communities who create, use, and are represented in our collections. Report harmful or offensive language in catalog records, finding aids, or elsewhere in our collections anonymously through our metadata feedback form. More information at Remediation of Harmful Language.

Accessibility

If you are unable to use this file in its current format, please select the Contact Us link and we can modify it to make it more accessible to you.