메뉴 건너뛰기




Volumn 64, Issue 5, 2015, Pages 1830-1840

Sixty-five common genetic variants and prediction of type 2 diabetes

(30)  Talmud, Philippa J a   Cooper, Jackie A a   Morris, Richard W a   Dudbridge, Frank b   Shah, Tina a   Engmann, Jorgen a   Dale, Caroline b   White, Jon a   Mclachlan, Stela c   Zabaneh, Delilah a   Wong, Andrew a   Ong, Ken K a,d   Gaunt, Tom e   Holmes, Michael V a,f   Lawlor, Debbie A e   Richards, Marcus a   Hardy, Rebecca a   Kuh, Diana a   Wareham, Nicholas d   Langenberg, Claudia a,d   more..


Author keywords

[No Author keywords available]

Indexed keywords

GLUCOSE; HIGH DENSITY LIPOPROTEIN CHOLESTEROL; TRIACYLGLYCEROL;

EID: 84981551346     PISSN: 00121797     EISSN: 1939327X     Source Type: Journal    
DOI: 10.2337/db14-1504     Document Type: Article
Times cited : (85)

References (25)
  • 1
    • 84882567239 scopus 로고    scopus 로고
    • Trajectories of cardiometabolic risk factors before diagnosis of three subtypes of type 2 diabetes: A post-hoc analysis of the longitudinal Whitehall II cohort study
    • Færch K, Witte DR, Tabák AG, et al. Trajectories of cardiometabolic risk factors before diagnosis of three subtypes of type 2 diabetes: A post-hoc analysis of the longitudinal Whitehall II cohort study. Lancet Diabetes Endocrinol 2013;1:43-51.
    • (2013) Lancet Diabetes Endocrinol , vol.1 , pp. 43-51
    • Færch, K.1    Witte, D.R.2    Tabák, A.G.3
  • 3
    • 83755173339 scopus 로고    scopus 로고
    • Risk models and scores for type 2 diabetes: Systematic review
    • Noble D, Mathur R, Dent T, Meads C, Greenhalgh T. Risk models and scores for type 2 diabetes: systematic review. BMJ 2011;343:7163.
    • (2011) BMJ , vol.343 , pp. 7163
    • Noble, D.1    Mathur, R.2    Dent, T.3    Meads, C.4    Greenhalgh, T.5
  • 4
    • 84891789946 scopus 로고    scopus 로고
    • Genetic screening for the risk of type 2 diabetes: Worthless or valuable?
    • Lyssenko V, Laakso M. Genetic screening for the risk of type 2 diabetes: Worthless or valuable? Diabetes Care 2013;36(Suppl. 2):S120-S126.
    • (2013) Diabetes Care , vol.36 , pp. S120-S126
    • Lyssenko, V.1    Laakso, M.2
  • 5
    • 34249654186 scopus 로고    scopus 로고
    • Prediction of incident diabetes mellitus in middle- Aged adults: The framingham offspring study
    • Wilson PW, Meigs JB, Sullivan L, Fox CS, Nathan DM, D'Agostino RB Sr. Prediction of incident diabetes mellitus in middle- Aged adults: The Framingham Offspring Study. Arch Intern Med 2007;167:1068-1074.
    • (2007) Arch Intern Med , vol.167 , pp. 1068-1074
    • Wilson, P.W.1    Meigs, J.B.2    Sullivan, L.3    Fox, C.S.4    Nathan, D.M.5    D'Agostino, R.B.6
  • 6
    • 76249109928 scopus 로고    scopus 로고
    • Utility of genetic and nongenetic risk factors in prediction of type 2 diabetes: Whitehall II prospective cohort study
    • Talmud PJ, Hingorani AD, Cooper JA, et al. Utility of genetic and nongenetic risk factors in prediction of type 2 diabetes: Whitehall II prospective cohort study. BMJ 2010;340:b4838.
    • (2010) BMJ , vol.340 , pp. 4838
    • Talmud, P.J.1    Hingorani, A.D.2    Cooper, J.A.3
  • 7
    • 84862785585 scopus 로고    scopus 로고
    • Large-scale gene-centric meta- Analysis across 39 studies identifies type 2 diabetes loci [published correction appears in Am J Hum Genet 2012;90: 753]
    • Look AHEAD Research Group; DIAGRAM consortium
    • Saxena R, Elbers CC, Guo Y, et al.; Look AHEAD Research Group; DIAGRAM consortium. Large-scale gene-centric meta- Analysis across 39 studies identifies type 2 diabetes loci [published correction appears in Am J Hum Genet 2012;90: 753]. Am J Hum Genet 2012;90:410-425.
    • (2012) Am J Hum Genet , vol.90 , pp. 410-425
    • Saxena, R.1    Elbers, C.C.2    Guo, Y.3
  • 8
    • 84868337361 scopus 로고    scopus 로고
    • Large-scale association analysis provides insights into the genetic architecture and pathophysiology of type 2 diabetes
    • Wellcome Trust Case Control Consortium; Meta-Analyses of Glucose and Insulin-related traits Consortium (MAGIC) Investigators; Genetic Investigation of ANthropometric Traits (GIANT) Consortium; Asian Genetic Epidemiology Network-Type 2 Diabetes (AGEN-T2D) Consortium; South Asian Type 2 Diabetes (SAT2D) Consortium; DIAbetes Genetics Replication And Meta- Analysis (DIAGRAM) Consortium
    • Morris AP, Voight BF, Teslovich TM, et al.; Wellcome Trust Case Control Consortium; Meta-Analyses of Glucose and Insulin-related traits Consortium (MAGIC) Investigators; Genetic Investigation of ANthropometric Traits (GIANT) Consortium; Asian Genetic Epidemiology Network-Type 2 Diabetes (AGEN-T2D) Consortium; South Asian Type 2 Diabetes (SAT2D) Consortium; DIAbetes Genetics Replication And Meta- Analysis (DIAGRAM) Consortium. Large-scale association analysis provides insights into the genetic architecture and pathophysiology of type 2 diabetes. Nat Genet 2012;44:981-990.
    • (2012) Nat Genet , vol.44 , pp. 981-990
    • Morris, A.P.1    Voight, B.F.2    Teslovich, T.M.3
  • 9
    • 79951715822 scopus 로고    scopus 로고
    • Genetic risk reclassification for type 2 diabetes by age below or above 50 years using 40 type 2 diabetes risk single nucleotide polymorphisms
    • MAGIC Investigators; DIAGRAM+ Investigators
    • de Miguel-Yanes JM, Shrader P, Pencina MJ, et al.; MAGIC Investigators; DIAGRAM+ Investigators. Genetic risk reclassification for type 2 diabetes by age below or above 50 years using 40 type 2 diabetes risk single nucleotide polymorphisms. Diabetes Care 2011;34:121-125.
    • (2011) Diabetes Care , vol.34 , pp. 121-125
    • De Miguel-Yanes, J.M.1    Shrader, P.2    Pencina, M.J.3
  • 10
    • 84906708242 scopus 로고    scopus 로고
    • Metabolite traits and genetic risk provide complementary information for the prediction of future type 2 diabetes
    • Walford GA, Porneala BC, Dauriz M, et al. Metabolite traits and genetic risk provide complementary information for the prediction of future type 2 diabetes. Diabetes Care 2014;37:2508-2514.
    • (2014) Diabetes Care , vol.37 , pp. 2508-2514
    • Walford, G.A.1    Porneala, B.C.2    Dauriz, M.3
  • 11
    • 84901380958 scopus 로고    scopus 로고
    • Polygenic type 2 diabetes prediction at the limit of common variant detection
    • Vassy JL, Hivert MF, Porneala B, et al. Polygenic type 2 diabetes prediction at the limit of common variant detection. Diabetes 2014;63:2172-2182.
    • (2014) Diabetes , vol.63 , pp. 2172-2182
    • Vassy, J.L.1    Hivert, M.F.2    Porneala, B.3
  • 12
    • 84901387060 scopus 로고    scopus 로고
    • Gene-lifestyle interaction and type 2 diabetes: The EPIC interact case-cohort study
    • Langenberg C, Sharp SJ, Franks PW, et al. Gene-lifestyle interaction and type 2 diabetes: The EPIC interact case-cohort study. PLoS Med 2014;11:e1001647.
    • (2014) PLoS Med , vol.11 , pp. e1001647
    • Langenberg, C.1    Sharp, S.J.2    Franks, P.W.3
  • 13
    • 80054707972 scopus 로고    scopus 로고
    • Heritability and familiality of type 2 diabetes and related quantitative traits in the botnia study
    • Botnia Study Group
    • Almgren P, Lehtovirta M, Isomaa B, et al.; Botnia Study Group. Heritability and familiality of type 2 diabetes and related quantitative traits in the Botnia Study. Diabetologia 2011;54:2811-2819.
    • (2011) Diabetologia , vol.54 , pp. 2811-2819
    • Almgren, P.1    Lehtovirta, M.2    Isomaa, B.3
  • 14
    • 84882672302 scopus 로고    scopus 로고
    • Population genomics of cardiometabolic traits: Design of the University College London-London School of Hygiene and Tropical Medicine-Edinburgh-Bristol (UCLEB) Consortium [published correction appears in PLoS One 2014;8]
    • UCLEB Consortium
    • Shah T, Engmann J, Dale C, et al.; UCLEB Consortium. Population genomics of cardiometabolic traits: design of the University College London-London School of Hygiene and Tropical Medicine-Edinburgh-Bristol (UCLEB) Consortium [published correction appears in PLoS One 2014;8]. PLoS ONE 2013;8:e71345.
    • (2013) PLoS ONE , vol.8 , pp. e71345
    • Shah, T.1    Engmann, J.2    Dale, C.3
  • 15
    • 48149095259 scopus 로고    scopus 로고
    • Translating the A1C assay into estimated average glucose values
    • A1c- Derived Average Glucose Study Group
    • Nathan DM, Kuenen J, Borg R, Zheng H, Schoenfeld D, Heine RJ; A1c- Derived Average Glucose Study Group. Translating the A1C assay into estimated average glucose values. Diabetes Care 2008;31:1473-1478.
    • (2008) Diabetes Care , vol.31 , pp. 1473-1478
    • Nathan, D.M.1    Kuenen, J.2    Borg, R.3    Zheng, H.4    Schoenfeld, D.5    Heine, R.J.6
  • 16
    • 84865693681 scopus 로고    scopus 로고
    • The metabochip, a custom genotyping array for genetic studies of metabolic, cardiovascular, and anthropometric traits
    • Voight BF, Kang HM, Ding J, et al. The metabochip, a custom genotyping array for genetic studies of metabolic, cardiovascular, and anthropometric traits. PLoS Genet 2012;8:e1002793.
    • (2012) PLoS Genet , vol.8 , pp. e1002793
    • Voight, B.F.1    Kang, H.M.2    Ding, J.3
  • 17
    • 84879260045 scopus 로고    scopus 로고
    • Type 2 diabetes genetics: Beyond GWAS
    • Sanghera DK, Blackett PR. Type 2 Diabetes Genetics: Beyond GWAS. J Diabetes Metab 2012;3:6948-6963.
    • (2012) J Diabetes Metab , vol.3 , pp. 6948-6963
    • Sanghera, D.K.1    Blackett, P.R.2
  • 18
    • 84855232027 scopus 로고    scopus 로고
    • Novel metrics for evaluating improvement in discrimination: Net reclassification and integrated discrimination improvement for normal variables and nested models
    • Pencina MJ, D'Agostino RB Sr, Demler OV. Novel metrics for evaluating improvement in discrimination: net reclassification and integrated discrimination improvement for normal variables and nested models. Stat Med 2012; 31:101-113.
    • (2012) Stat Med , vol.31 , pp. 101-113
    • Pencina, M.J.1    D'Agostino, R.B.2    Demler, O.V.3
  • 19
    • 84859514741 scopus 로고    scopus 로고
    • Risk prediction measures for case-cohort and nested case-control designs: An application to cardiovascular disease
    • Ganna A, Reilly M, de Faire U, Pedersen N, Magnusson P, Ingelsson E. Risk prediction measures for case-cohort and nested case-control designs: An application to cardiovascular disease. Am J Epidemiol 2012;175:715-724.
    • (2012) Am J Epidemiol , vol.175 , pp. 715-724
    • Ganna, A.1    Reilly, M.2    De Faire, U.3    Pedersen, N.4    Magnusson, P.5    Ingelsson, E.6
  • 20
    • 47049124269 scopus 로고    scopus 로고
    • A simple risk score identifies individuals at high risk of developing Type 2 diabetes: A prospective cohort study
    • Rahman M, Simmons RK, Harding AH, Wareham NJ, Griffin SJ. A simple risk score identifies individuals at high risk of developing Type 2 diabetes: A prospective cohort study. Fam Pract 2008;25:191-196.
    • (2008) Fam Pract , vol.25 , pp. 191-196
    • Rahman, M.1    Simmons, R.K.2    Harding, A.H.3    Wareham, N.J.4    Griffin, S.J.5
  • 21
    • 84897098159 scopus 로고    scopus 로고
    • Susceptibility to type 2 diabetes mellitus- from genes to prevention
    • Hivert MF, Vassy JL, Meigs JB. Susceptibility to type 2 diabetes mellitus- from genes to prevention. Nat Rev Endocrinol 2014;10:198-205.
    • (2014) Nat Rev Endocrinol , vol.10 , pp. 198-205
    • Hivert, M.F.1    Vassy, J.L.2    Meigs, J.B.3
  • 22
    • 84890260477 scopus 로고    scopus 로고
    • Whole-exome sequencing of 2, 000 Danish individuals and the role of rare coding variants in type 2 diabetes
    • Lohmueller KE, Sparsø T, Li Q, et al. Whole-exome sequencing of 2, 000 Danish individuals and the role of rare coding variants in type 2 diabetes. Am J Hum Genet 2013;93:1072-1086.
    • (2013) Am J Hum Genet , vol.93 , pp. 1072-1086
    • Lohmueller, K.E.1    Sparsø, T.2    Li, Q.3
  • 23
    • 84876074049 scopus 로고    scopus 로고
    • Exome sequencing identifies a new candidate mutation for susceptibility to diabetes in a family with highly aggregated type 2 diabetes
    • Tanaka D, Nagashima K, Sasaki M, et al. Exome sequencing identifies a new candidate mutation for susceptibility to diabetes in a family with highly aggregated type 2 diabetes. Mol Genet Metab 2013;109:112-117.
    • (2013) Mol Genet Metab , vol.109 , pp. 112-117
    • Tanaka, D.1    Nagashima, K.2    Sasaki, M.3
  • 24
    • 84896692640 scopus 로고    scopus 로고
    • Assessing risk prediction models using individual participant data from multiple studies
    • Emerging Risk Factors Collaboration
    • Pennells L, Kaptoge S, White IR, Thompson SG, Wood AM; Emerging Risk Factors Collaboration. Assessing risk prediction models using individual participant data from multiple studies. Am J Epidemiol 2014;179:621-632.
    • (2014) Am J Epidemiol , vol.179 , pp. 621-632
    • Pennells, L.1    Kaptoge, S.2    White, I.R.3    Thompson, S.G.4    Wood, A.M.5
  • 25
    • 84871443278 scopus 로고    scopus 로고
    • Personalized genetic risk counseling to motivate diabetes prevention: A randomized trial
    • Grant RW, O'Brien KE, Waxler JL, et al. Personalized genetic risk counseling to motivate diabetes prevention: A randomized trial. Diabetes Care 2013; 36:13-19.
    • (2013) Diabetes Care , vol.36 , pp. 13-19
    • Grant, R.W.1    O'Brien, K.E.2    Waxler, J.L.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.