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Volumn 8, Issue 1, 2016, Pages 24-35

Genetic markers of type 2 diabetes: Progress in genome-wide association studies and clinical application for risk prediction

Author keywords

Area under the receiver operating characteristic curve; Genetics; Genome wide association studies; Type 2 diabetes

Indexed keywords

CYCLIN DEPENDENT KINASE INHIBITOR 2A; CYCLIN DEPENDENT KINASE INHIBITOR 2B; HEPATOCYTE NUCLEAR FACTOR 1BETA; LEPTIN; NOTCH2 RECEPTOR; PEROXISOME PROLIFERATOR ACTIVATED RECEPTOR GAMMA; POTASSIUM CHANNEL KCNQ1; PROTEIN BCL 2; TRANSCRIPTION FACTOR 7 LIKE 2; GENETIC MARKER;

EID: 84954027630     PISSN: 17530393     EISSN: 17530407     Source Type: Journal    
DOI: 10.1111/1753-0407.12323     Document Type: Review
Times cited : (62)

References (93)
  • 1
    • 82955247909 scopus 로고    scopus 로고
    • IDF diabetes atlas: Global estimates of the prevalence of diabetes for 2011 and 2030
    • Whiting DR, Guariguata L, Weil C, Shaw J. IDF diabetes atlas: Global estimates of the prevalence of diabetes for 2011 and 2030. Diabetes Res Clin Pract. 2011; 94: 311-321.
    • (2011) Diabetes Res Clin Pract , vol.94 , pp. 311-321
    • Whiting, D.R.1    Guariguata, L.2    Weil, C.3    Shaw, J.4
  • 2
    • 0032896076 scopus 로고    scopus 로고
    • Concordance rate for type II diabetes mellitus in monozygotic twins: Actuarial analysis
    • Medici F, Hawa M, Ianari A, Pyke DA, Leslie RD. Concordance rate for type II diabetes mellitus in monozygotic twins: Actuarial analysis. Diabetologia. 1999; 42: 146-150.
    • (1999) Diabetologia , vol.42 , pp. 146-150
    • Medici, F.1    Hawa, M.2    Ianari, A.3    Pyke, D.A.4    Leslie, R.D.5
  • 3
    • 43849111166 scopus 로고    scopus 로고
    • The long-term effect of lifestyle interventions to prevent diabetes in the China Da Qing Diabetes Prevention Study: A 20-year follow-up study
    • Li G, Zhang P, Wang J etal. The long-term effect of lifestyle interventions to prevent diabetes in the China Da Qing Diabetes Prevention Study: A 20-year follow-up study. Lancet. 2008; 371: 1783-1789.
    • (2008) Lancet , vol.371 , pp. 1783-1789
    • Li, G.1    Zhang, P.2    Wang, J.3
  • 4
    • 33751366229 scopus 로고    scopus 로고
    • Sustained reduction in the incidence of type 2 diabetes by lifestyle intervention: Follow-up of the Finnish Diabetes Prevention Study
    • Lindstrom J, Ilanne-Parikka P, Peltonen M etal. Sustained reduction in the incidence of type 2 diabetes by lifestyle intervention: Follow-up of the Finnish Diabetes Prevention Study. Lancet. 2006; 368: 1673-1679.
    • (2006) Lancet , vol.368 , pp. 1673-1679
    • Lindstrom, J.1    Ilanne-Parikka, P.2    Peltonen, M.3
  • 5
    • 77951047476 scopus 로고    scopus 로고
    • A European evidence-based guideline for the prevention of type 2 diabetes
    • Paulweber B, Valensi P, Lindstrom J etal. A European evidence-based guideline for the prevention of type 2 diabetes. Horm Metab Res. 2010; 42 (Suppl. 1): S3-36.
    • (2010) Horm Metab Res , vol.42 , pp. S3-36
    • Paulweber, B.1    Valensi, P.2    Lindstrom, J.3
  • 6
    • 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: d7163.
    • (2011) BMJ , vol.343 , pp. d7163
    • Noble, D.1    Mathur, R.2    Dent, T.3    Meads, C.4    Greenhalgh, T.5
  • 7
    • 84885380693 scopus 로고    scopus 로고
    • Added value of novel circulating and genetic biomarkers in type 2 diabetes prediction: A systematic review
    • Echouffo-Tcheugui JB, Dieffenbach SD, Kengne AP. Added value of novel circulating and genetic biomarkers in type 2 diabetes prediction: A systematic review. Diabetes Res Clin Pract. 2013; 101: 255-269.
    • (2013) Diabetes Res Clin Pract , vol.101 , pp. 255-269
    • Echouffo-Tcheugui, J.B.1    Dieffenbach, S.D.2    Kengne, A.P.3
  • 8
    • 79960505344 scopus 로고    scopus 로고
    • Risk assessment tools for identifying individuals at risk of developing type 2 diabetes
    • Buijsse B, Simmons RK, Griffin SJ, Schulze MB. Risk assessment tools for identifying individuals at risk of developing type 2 diabetes. Epidemiol Rev. 2011; 33: 46-62.
    • (2011) Epidemiol Rev , vol.33 , pp. 46-62
    • Buijsse, B.1    Simmons, R.K.2    Griffin, S.J.3    Schulze, M.B.4
  • 9
    • 84919386063 scopus 로고    scopus 로고
    • Maturity onset diabetes of the young (MODY): History, first case reports and recent advances
    • Siddiqui K, Musambil M, Nazir N. Maturity onset diabetes of the young (MODY): History, first case reports and recent advances. Gene. 2015; 555: 66-71.
    • (2015) Gene , vol.555 , pp. 66-71
    • Siddiqui, K.1    Musambil, M.2    Nazir, N.3
  • 10
    • 0033624575 scopus 로고    scopus 로고
    • The common PPARgamma Pro12Ala polymorphism is associated with decreased risk of type 2 diabetes
    • Altshuler D, Hirschhorn JN, Klannemark M etal. The common PPARgamma Pro12Ala polymorphism is associated with decreased risk of type 2 diabetes. Nat Genet. 2000; 26: 76-80.
    • (2000) Nat Genet , vol.26 , pp. 76-80
    • Altshuler, D.1    Hirschhorn, J.N.2    Klannemark, M.3
  • 11
    • 0037317981 scopus 로고    scopus 로고
    • Large-scale association studies of variants in genes encoding the pancreatic beta-cell KATP channel subunits Kir6.2 (KCNJ11) and SUR1 (ABCC8) confirm that the KCNJ11 E23K variant is associated with type 2 diabetes
    • Gloyn AL, Weedon MN, Owen KR etal. Large-scale association studies of variants in genes encoding the pancreatic beta-cell KATP channel subunits Kir6.2 (KCNJ11) and SUR1 (ABCC8) confirm that the KCNJ11 E23K variant is associated with type 2 diabetes. Diabetes. 2003; 52: 568-572.
    • (2003) Diabetes , vol.52 , pp. 568-572
    • Gloyn, A.L.1    Weedon, M.N.2    Owen, K.R.3
  • 12
    • 32544451924 scopus 로고    scopus 로고
    • Variant of transcription factor 7-like 2 (TCF7L2) gene confers risk of type 2 diabetes
    • Grant SF, Thorleifsson G, Reynisdottir I etal. Variant of transcription factor 7-like 2 (TCF7L2) gene confers risk of type 2 diabetes. Nat Genet. 2006; 38: 320-323.
    • (2006) Nat Genet , vol.38 , pp. 320-323
    • Grant, S.F.1    Thorleifsson, G.2    Reynisdottir, I.3
  • 13
    • 34547536393 scopus 로고    scopus 로고
    • Common variants in WFS1 confer risk of type 2 diabetes
    • Sandhu MS, Weedon MN, Fawcett KA etal. Common variants in WFS1 confer risk of type 2 diabetes. Nat Genet. 2007; 39: 951-953.
    • (2007) Nat Genet , vol.39 , pp. 951-953
    • Sandhu, M.S.1    Weedon, M.N.2    Fawcett, K.A.3
  • 14
    • 34249888775 scopus 로고    scopus 로고
    • Genome-wide association analysis identifies loci for type 2 diabetes and triglyceride levels
    • Saxena R, Voight BF, Lyssenko V etal. Genome-wide association analysis identifies loci for type 2 diabetes and triglyceride levels. Science. 2007; 316: 1331-1336.
    • (2007) Science , vol.316 , pp. 1331-1336
    • Saxena, R.1    Voight, B.F.2    Lyssenko, V.3
  • 15
    • 34249885875 scopus 로고    scopus 로고
    • A genome-wide association study of type 2 diabetes in Finns detects multiple susceptibility variants
    • Scott LJ, Mohlke KL, Bonnycastle LL etal. A genome-wide association study of type 2 diabetes in Finns detects multiple susceptibility variants. Science. 2007; 316: 1341-1345.
    • (2007) Science , vol.316 , pp. 1341-1345
    • Scott, L.J.1    Mohlke, K.L.2    Bonnycastle, L.L.3
  • 16
    • 34249895023 scopus 로고    scopus 로고
    • Replication of genome-wide association signals in UK samples reveals risk loci for type 2 diabetes
    • Zeggini E, Weedon MN, Lindgren CM etal. Replication of genome-wide association signals in UK samples reveals risk loci for type 2 diabetes. Science. 2007; 316: 1336-1341.
    • (2007) Science , vol.316 , pp. 1336-1341
    • Zeggini, E.1    Weedon, M.N.2    Lindgren, C.M.3
  • 17
    • 39049146958 scopus 로고    scopus 로고
    • Replication of the association between variants in WFS1 and risk of type 2 diabetes in European populations
    • Franks PW, Rolandsson O, Debenham SL etal. Replication of the association between variants in WFS1 and risk of type 2 diabetes in European populations. Diabetologia. 2008; 51: 458-463.
    • (2008) Diabetologia , vol.51 , pp. 458-463
    • Franks, P.W.1    Rolandsson, O.2    Debenham, S.L.3
  • 18
    • 42349106044 scopus 로고    scopus 로고
    • Meta-analysis of genome-wide association data and large-scale replication identifies additional susceptibility loci for type 2 diabetes
    • Zeggini E, Scott LJ, Saxena R etal. Meta-analysis of genome-wide association data and large-scale replication identifies additional susceptibility loci for type 2 diabetes. Nat Genet. 2008; 40: 638-645.
    • (2008) Nat Genet , vol.40 , pp. 638-645
    • Zeggini, E.1    Scott, L.J.2    Saxena, R.3
  • 19
    • 75749086085 scopus 로고    scopus 로고
    • New genetic loci implicated in fasting glucose homeostasis and their impact on type 2 diabetes risk
    • Dupuis J, Langenberg C, Prokopenko I etal. New genetic loci implicated in fasting glucose homeostasis and their impact on type 2 diabetes risk. Nat Genet. 2010; 42: 105-116.
    • (2010) Nat Genet , vol.42 , pp. 105-116
    • Dupuis, J.1    Langenberg, C.2    Prokopenko, I.3
  • 20
    • 70349557826 scopus 로고    scopus 로고
    • Genetic variant near IRS1 is associated with type 2 diabetes, insulin resistance and hyperinsulinemia
    • Rung J, Cauchi S, Albrechtsen A etal. Genetic variant near IRS1 is associated with type 2 diabetes, insulin resistance and hyperinsulinemia. Nat Genet. 2009; 41: 1110-1115.
    • (2009) Nat Genet , vol.41 , pp. 1110-1115
    • Rung, J.1    Cauchi, S.2    Albrechtsen, A.3
  • 21
    • 77954172286 scopus 로고    scopus 로고
    • Genetic variants at 2q24 are associated with susceptibility to type 2 diabetes
    • Qi L, Cornelis MC, Kraft P etal. Genetic variants at 2q24 are associated with susceptibility to type 2 diabetes. Hum Mol Genet. 2010; 19: 2706-2715.
    • (2010) Hum Mol Genet , vol.19 , pp. 2706-2715
    • Qi, L.1    Cornelis, M.C.2    Kraft, P.3
  • 22
    • 77954143522 scopus 로고    scopus 로고
    • Twelve type 2 diabetes susceptibility loci identified through large-scale association analysis
    • Voight BF, Scott LJ, Steinthorsdottir V etal. Twelve type 2 diabetes susceptibility loci identified through large-scale association analysis. Nat Genet. 2010; 42: 579-589.
    • (2010) Nat Genet , vol.42 , pp. 579-589
    • Voight, B.F.1    Scott, L.J.2    Steinthorsdottir, V.3
  • 23
    • 84868337361 scopus 로고    scopus 로고
    • Large-scale association analysis provides insights into the genetic architecture and pathophysiology of type 2 diabetes
    • Morris AP, Voight BF, Teslovich TM etal. 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
  • 24
    • 84895868553 scopus 로고    scopus 로고
    • Genome-wide trans-ancestry meta-analysis provides insight into the genetic architecture of type 2 diabetes susceptibility
    • Genome-wide trans-ancestry meta-analysis provides insight into the genetic architecture of type 2 diabetes susceptibility. Nat Genet. 2014; 46: 234-244.
    • (2014) Nat Genet , vol.46 , pp. 234-244
  • 25
    • 34547510624 scopus 로고    scopus 로고
    • Two variants on chromosome 17 confer prostate cancer risk, and the one in TCF2 protects against type 2 diabetes
    • Gudmundsson J, Sulem P, Steinthorsdottir V etal. Two variants on chromosome 17 confer prostate cancer risk, and the one in TCF2 protects against type 2 diabetes. Nat Genet. 2007; 39: 977-983.
    • (2007) Nat Genet , vol.39 , pp. 977-983
    • Gudmundsson, J.1    Sulem, P.2    Steinthorsdottir, V.3
  • 26
    • 84862785585 scopus 로고    scopus 로고
    • Large-scale gene-centric meta-analysis across 39 studies identifies type 2 diabetes loci
    • Saxena R, Elbers CC, Guo Y etal. Large-scale gene-centric meta-analysis across 39 studies identifies type 2 diabetes loci. 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
  • 27
    • 77957553197 scopus 로고    scopus 로고
    • A genome-wide association study in the Japanese population identifies susceptibility loci for type 2 diabetes at UBE2E2 and C2CD4A-C2CD4B
    • Yamauchi T, Hara K, Maeda S etal. A genome-wide association study in the Japanese population identifies susceptibility loci for type 2 diabetes at UBE2E2 and C2CD4A-C2CD4B. Nat Genet. 2010; 42: 864-868.
    • (2010) Nat Genet , vol.42 , pp. 864-868
    • Yamauchi, T.1    Hara, K.2    Maeda, S.3
  • 28
    • 84655162045 scopus 로고    scopus 로고
    • Meta-analysis of genome-wide association studies identifies eight new loci for type 2 diabetes in east Asians
    • Cho YS, Chen CH, Hu C etal. Meta-analysis of genome-wide association studies identifies eight new loci for type 2 diabetes in east Asians. Nat Genet. 2012; 44: 67-72.
    • (2012) Nat Genet , vol.44 , pp. 67-72
    • Cho, Y.S.1    Chen, C.H.2    Hu, C.3
  • 29
    • 84877728324 scopus 로고    scopus 로고
    • Genome-wide association study in a Chinese population identifies a susceptibility locus for type 2 diabetes at 7q32 near PAX4
    • Ma RC, Hu C, Tam CH etal. Genome-wide association study in a Chinese population identifies a susceptibility locus for type 2 diabetes at 7q32 near PAX4. Diabetologia. 2013; 56: 1291-1305.
    • (2013) Diabetologia , vol.56 , pp. 1291-1305
    • Ma, R.C.1    Hu, C.2    Tam, C.H.3
  • 30
    • 84890397941 scopus 로고    scopus 로고
    • Genome-wide association study identifies three novel loci for type 2 diabetes
    • Hara K, Fujita H, Johnson TA etal. Genome-wide association study identifies three novel loci for type 2 diabetes. Hum Mol Genet. 2014; 23: 239-246.
    • (2014) Hum Mol Genet , vol.23 , pp. 239-246
    • Hara, K.1    Fujita, H.2    Johnson, T.A.3
  • 31
    • 84863503465 scopus 로고    scopus 로고
    • A single-nucleotide polymorphism in ANK1 is associated with susceptibility to type 2 diabetes in Japanese populations
    • Imamura M, Maeda S, Yamauchi T etal. A single-nucleotide polymorphism in ANK1 is associated with susceptibility to type 2 diabetes in Japanese populations. Hum Mol Genet. 2012; 21: 3042-3049.
    • (2012) Hum Mol Genet , vol.21 , pp. 3042-3049
    • Imamura, M.1    Maeda, S.2    Yamauchi, T.3
  • 32
    • 77649214654 scopus 로고    scopus 로고
    • A genome-wide association study identifies susceptibility variants for type 2 diabetes in Han Chinese
    • Tsai FJ, Yang CF, Chen CC etal. A genome-wide association study identifies susceptibility variants for type 2 diabetes in Han Chinese. PLoS Genet. 2010; 6: e1000847.
    • (2010) PLoS Genet , vol.6 , pp. e1000847
    • Tsai, F.J.1    Yang, C.F.2    Chen, C.C.3
  • 33
    • 84872033833 scopus 로고    scopus 로고
    • A genome-wide association study identifies GRK5 and RASGRP1 as type 2 diabetes loci in Chinese Hans
    • Li H, Gan W, Lu L etal. A genome-wide association study identifies GRK5 and RASGRP1 as type 2 diabetes loci in Chinese Hans. Diabetes. 2013; 62: 291-298.
    • (2013) Diabetes , vol.62 , pp. 291-298
    • Li, H.1    Gan, W.2    Lu, L.3
  • 34
    • 50449085998 scopus 로고    scopus 로고
    • Variants in KCNQ1 are associated with susceptibility to type 2 diabetes mellitus
    • Yasuda K, Miyake K, Horikawa Y etal. Variants in KCNQ1 are associated with susceptibility to type 2 diabetes mellitus. Nat Genet. 2008; 40: 1092-1097.
    • (2008) Nat Genet , vol.40 , pp. 1092-1097
    • Yasuda, K.1    Miyake, K.2    Horikawa, Y.3
  • 35
    • 78049438674 scopus 로고    scopus 로고
    • Identification of new genetic risk variants for type 2 diabetes
    • Shu XO, Long J, Cai Q etal. Identification of new genetic risk variants for type 2 diabetes. PLoS Genet. 2010; 6: e1001127.
    • (2010) PLoS Genet , vol.6 , pp. e1001127
    • Shu, X.O.1    Long, J.2    Cai, Q.3
  • 36
    • 80053385333 scopus 로고    scopus 로고
    • Genome-wide association study in individuals of South Asian ancestry identifies six new type 2 diabetes susceptibility loci
    • Kooner JS, Saleheen D, Sim X etal. Genome-wide association study in individuals of South Asian ancestry identifies six new type 2 diabetes susceptibility loci. Nat Genet. 2011; 43: 984-989.
    • (2011) Nat Genet , vol.43 , pp. 984-989
    • Kooner, J.S.1    Saleheen, D.2    Sim, X.3
  • 37
    • 84874418247 scopus 로고    scopus 로고
    • Genome-wide association study for type 2 diabetes in Indians identifies a new susceptibility locus at 2q21
    • Tabassum R, Chauhan G, Dwivedi OP etal. Genome-wide association study for type 2 diabetes in Indians identifies a new susceptibility locus at 2q21. Diabetes. 2013; 62: 977-986.
    • (2013) Diabetes , vol.62 , pp. 977-986
    • Tabassum, R.1    Chauhan, G.2    Dwivedi, O.P.3
  • 38
    • 84855405312 scopus 로고    scopus 로고
    • A genome-wide association search for type 2 diabetes genes in African Americans
    • Palmer ND, McDonough CW, Hicks PJ etal. A genome-wide association search for type 2 diabetes genes in African Americans. PLoS ONE. 2012; 7: e29202.
    • (2012) PLoS ONE , vol.7 , pp. e29202
    • Palmer, N.D.1    McDonough, C.W.2    Hicks, P.J.3
  • 39
    • 84893716900 scopus 로고    scopus 로고
    • Sequence variants in SLC16A11 are a common risk factor for type 2 diabetes in Mexico
    • Williams AL, Jacobs SB, Moreno-Macias H etal. Sequence variants in SLC16A11 are a common risk factor for type 2 diabetes in Mexico. Nature. 2014; 506: 97-101.
    • (2014) Nature , vol.506 , pp. 97-101
    • Williams, A.L.1    Jacobs, S.B.2    Moreno-Macias, H.3
  • 40
    • 33847176604 scopus 로고    scopus 로고
    • A genome-wide association study identifies novel risk loci for type 2 diabetes
    • Sladek R, Rocheleau G, Rung J etal. A genome-wide association study identifies novel risk loci for type 2 diabetes. Nature. 2007; 445: 881-885.
    • (2007) Nature , vol.445 , pp. 881-885
    • Sladek, R.1    Rocheleau, G.2    Rung, J.3
  • 41
    • 34249828965 scopus 로고    scopus 로고
    • A variant in CDKAL1 influences insulin response and risk of type 2 diabetes
    • Steinthorsdottir V, Thorleifsson G, Reynisdottir I etal. A variant in CDKAL1 influences insulin response and risk of type 2 diabetes. Nat Genet. 2007; 39: 770-775.
    • (2007) Nat Genet , vol.39 , pp. 770-775
    • Steinthorsdottir, V.1    Thorleifsson, G.2    Reynisdottir, I.3
  • 42
    • 84969213492 scopus 로고    scopus 로고
    • Genome-wide association study of 14000 cases of seven common diseases and 3000 shared controls
    • The Wellcome Trust Case Control Consortium. Genome-wide association study of 14000 cases of seven common diseases and 3000 shared controls. Nature. 2007; 447: 661-678.
    • (2007) Nature , vol.447 , pp. 661-678
  • 43
    • 34248594090 scopus 로고    scopus 로고
    • A common variant in the FTO gene is associated with body mass index and predisposes to childhood and adult obesity
    • Frayling TM, Timpson NJ, Weedon MN etal. 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.
    • (2007) Science , vol.316 , pp. 889-894
    • Frayling, T.M.1    Timpson, N.J.2    Weedon, M.N.3
  • 44
    • 58149175669 scopus 로고    scopus 로고
    • Common variant in MTNR1B associated with increased risk of type 2 diabetes and impaired early insulin secretion
    • Lyssenko V, Nagorny CL, Erdos MR etal. Common variant in MTNR1B associated with increased risk of type 2 diabetes and impaired early insulin secretion. Nat Genet. 2009; 41: 82-88.
    • (2009) Nat Genet , vol.41 , pp. 82-88
    • Lyssenko, V.1    Nagorny, C.L.2    Erdos, M.R.3
  • 45
    • 58149175143 scopus 로고    scopus 로고
    • A variant near MTNR1B is associated with increased fasting plasma glucose levels and type 2 diabetes risk
    • Bouatia-Naji N, Bonnefond A, Cavalcanti-Proenca C etal. A variant near MTNR1B is associated with increased fasting plasma glucose levels and type 2 diabetes risk. Nat Genet. 2009; 41: 89-94.
    • (2009) Nat Genet , vol.41 , pp. 89-94
    • Bouatia-Naji, N.1    Bonnefond, A.2    Cavalcanti-Proenca, C.3
  • 46
    • 50449085212 scopus 로고    scopus 로고
    • SNPs in KCNQ1 are associated with susceptibility to type 2 diabetes in East Asian and European populations
    • Unoki H, Takahashi A, Kawaguchi T etal. SNPs in KCNQ1 are associated with susceptibility to type 2 diabetes in East Asian and European populations. Nat Genet. 2008; 40: 1098-1102.
    • (2008) Nat Genet , vol.40 , pp. 1098-1102
    • Unoki, H.1    Takahashi, A.2    Kawaguchi, T.3
  • 47
    • 69449096387 scopus 로고    scopus 로고
    • Dual ablation of Grb10 and Grb14 in mice reveals their combined role in regulation of insulin signaling and glucose homeostasis
    • Holt LJ, Lyons RJ, Ryan AS etal. Dual ablation of Grb10 and Grb14 in mice reveals their combined role in regulation of insulin signaling and glucose homeostasis. Mol Endocrinol. 2009; 23: 1406-1414.
    • (2009) Mol Endocrinol , vol.23 , pp. 1406-1414
    • Holt, L.J.1    Lyons, R.J.2    Ryan, A.S.3
  • 48
    • 84876536835 scopus 로고    scopus 로고
    • Genome-wide association study identifies a novel locus contributing to type 2 diabetes susceptibility in Sikhs of Punjabi origin from India
    • Saxena R, Saleheen D, Been LF etal. Genome-wide association study identifies a novel locus contributing to type 2 diabetes susceptibility in Sikhs of Punjabi origin from India. Diabetes. 2013; 62: 1746-1755.
    • (2013) Diabetes , vol.62 , pp. 1746-1755
    • Saxena, R.1    Saleheen, D.2    Been, L.F.3
  • 49
    • 77954956697 scopus 로고    scopus 로고
    • Recent insights into fatty liver, metabolic dyslipidaemia and their links to insulin resistance
    • Savage DB, Semple RK. Recent insights into fatty liver, metabolic dyslipidaemia and their links to insulin resistance. Curr Opin Lipidol. 2010; 21: 329-336.
    • (2010) Curr Opin Lipidol , vol.21 , pp. 329-336
    • Savage, D.B.1    Semple, R.K.2
  • 50
    • 84857861919 scopus 로고    scopus 로고
    • Mechanisms for insulin resistance: Common threads and missing links
    • Samuel VT, Shulman GI. Mechanisms for insulin resistance: Common threads and missing links. Cell. 2012; 148: 852-871.
    • (2012) Cell , vol.148 , pp. 852-871
    • Samuel, V.T.1    Shulman, G.I.2
  • 52
    • 33750876203 scopus 로고    scopus 로고
    • Combining information from common type 2 diabetes risk polymorphisms improves disease prediction
    • Weedon MN, McCarthy MI, Hitman G etal. Combining information from common type 2 diabetes risk polymorphisms improves disease prediction. PLoS Med. 2006; 3: e374.
    • (2006) PLoS Med , vol.3 , pp. e374
    • Weedon, M.N.1    McCarthy, M.I.2    Hitman, G.3
  • 53
    • 33644843134 scopus 로고    scopus 로고
    • Does genetic testing really improve the prediction of future type 2 diabetes?
    • Janssens AC, Gwinn M, Khoury MJ, Subramonia-Iyer S. Does genetic testing really improve the prediction of future type 2 diabetes? PLoS Med. 2006; 3: e114.
    • (2006) PLoS Med , vol.3 , pp. e114
    • Janssens, A.C.1    Gwinn, M.2    Khoury, M.J.3    Subramonia-Iyer, S.4
  • 54
    • 38449118682 scopus 로고    scopus 로고
    • Impact of common type 2 diabetes risk polymorphisms in the DESIR prospective study
    • Vaxillaire M, Veslot J, Dina C etal. Impact of common type 2 diabetes risk polymorphisms in the DESIR prospective study. Diabetes. 2008; 57: 244-254.
    • (2008) Diabetes , vol.57 , pp. 244-254
    • Vaxillaire, M.1    Veslot, J.2    Dina, C.3
  • 55
    • 56149124681 scopus 로고    scopus 로고
    • Predicting diabetes: Clinical, biological, and genetic approaches: Data from the Epidemiological Study on the Insulin Resistance Syndrome (DESIR)
    • Balkau B, Lange C, Fezeu L etal. Predicting diabetes: Clinical, biological, and genetic approaches: Data from the Epidemiological Study on the Insulin Resistance Syndrome (DESIR). Diabetes Care. 2008; 31: 2056-2061.
    • (2008) Diabetes Care , vol.31 , pp. 2056-2061
    • Balkau, B.1    Lange, C.2    Fezeu, L.3
  • 56
    • 78649526616 scopus 로고    scopus 로고
    • Combined effects of 19 common variations on type 2 diabetes in Chinese: Results from two community-based studies
    • Xu M, Bi Y, Xu Y etal. Combined effects of 19 common variations on type 2 diabetes in Chinese: Results from two community-based studies. PLoS ONE. 2010; 5: e14022.
    • (2010) PLoS ONE , vol.5 , pp. e14022
    • Xu, M.1    Bi, Y.2    Xu, Y.3
  • 57
    • 84893383302 scopus 로고    scopus 로고
    • Use of net reclassification improvement (NRI) method confirms the utility of combined genetic risk score to predict type 2 diabetes
    • Tam CH, Ho JS, Wang Y etal. Use of net reclassification improvement (NRI) method confirms the utility of combined genetic risk score to predict type 2 diabetes. PLoS ONE. 2013; 8: e83093.
    • (2013) PLoS ONE , vol.8 , pp. e83093
    • Tam, C.H.1    Ho, J.S.2    Wang, Y.3
  • 58
    • 84898629887 scopus 로고    scopus 로고
    • The construction of risk prediction models using GWAS data and its application to a type 2 diabetes prospective cohort
    • Shigemizu D, Abe T, Morizono T etal. The construction of risk prediction models using GWAS data and its application to a type 2 diabetes prospective cohort. PLoS ONE. 2014; 9: e92549.
    • (2014) PLoS ONE , vol.9 , pp. e92549
    • Shigemizu, D.1    Abe, T.2    Morizono, T.3
  • 59
    • 65349192772 scopus 로고    scopus 로고
    • Joint effects of common genetic variants on the risk for type 2 diabetes in U.S. men and women of European ancestry
    • Cornelis MC, Qi L, Zhang C etal. Joint effects of common genetic variants on the risk for type 2 diabetes in U.S. men and women of European ancestry. Ann Intern Med. 2009; 150: 541-550.
    • (2009) Ann Intern Med , vol.150 , pp. 541-550
    • Cornelis, M.C.1    Qi, L.2    Zhang, C.3
  • 60
    • 55649105963 scopus 로고    scopus 로고
    • Clinical risk factors, DNA variants, and the development of type 2 diabetes
    • Lyssenko V, Jonsson A, Almgren P etal. Clinical risk factors, DNA variants, and the development of type 2 diabetes. N Engl J Med. 2008; 359: 2220-2232.
    • (2008) N Engl J Med , vol.359 , pp. 2220-2232
    • Lyssenko, V.1    Jonsson, A.2    Almgren, P.3
  • 61
    • 66249089500 scopus 로고    scopus 로고
    • Construction of a prediction model for type 2 diabetes mellitus in the Japanese population based on 11 genes with strong evidence of the association
    • Miyake K, Yang W, Hara K etal. Construction of a prediction model for type 2 diabetes mellitus in the Japanese population based on 11 genes with strong evidence of the association. J Hum Genet. 2009; 54: 236-241.
    • (2009) J Hum Genet , vol.54 , pp. 236-241
    • Miyake, K.1    Yang, W.2    Hara, K.3
  • 62
    • 84866755863 scopus 로고    scopus 로고
    • European genetic variants associated with type 2 diabetes in North African Arabs
    • Cauchi S, Ezzidi I, El Achhab Y etal. European genetic variants associated with type 2 diabetes in North African Arabs. Diabetes Metab. 2012; 38: 316-323.
    • (2012) Diabetes Metab , vol.38 , pp. 316-323
    • Cauchi, S.1    Ezzidi, I.2    El Achhab, Y.3
  • 63
    • 47749124258 scopus 로고    scopus 로고
    • Post genome-wide association studies of novel genes associated with type 2 diabetes show gene-gene interaction and high predictive value
    • Cauchi S, Meyre D, Durand E etal. Post genome-wide association studies of novel genes associated with type 2 diabetes show gene-gene interaction and high predictive value. PLoS ONE. 2008; 3: e2031.
    • (2008) PLoS ONE , vol.3 , pp. e2031
    • Cauchi, S.1    Meyre, D.2    Durand, E.3
  • 64
    • 61449255235 scopus 로고    scopus 로고
    • Risk prediction of prevalent diabetes in a Swiss population using a weighted genetic score: The CoLaus Study
    • Lin X, Song K, Lim N etal. Risk prediction of prevalent diabetes in a Swiss population using a weighted genetic score: The CoLaus Study. Diabetologia. 2009; 52: 600-608.
    • (2009) Diabetologia , vol.52 , pp. 600-608
    • Lin, X.1    Song, K.2    Lim, N.3
  • 65
    • 77958027965 scopus 로고    scopus 로고
    • Evaluating the discriminative power of multi-trait genetic risk scores for type 2 diabetes in a northern Swedish population
    • Fontaine-Bisson B, Renstrom F, Rolandsson O etal. Evaluating the discriminative power of multi-trait genetic risk scores for type 2 diabetes in a northern Swedish population. Diabetologia. 2010; 53: 2155-2162.
    • (2010) Diabetologia , vol.53 , pp. 2155-2162
    • Fontaine-Bisson, B.1    Renstrom, F.2    Rolandsson, O.3
  • 66
    • 77958072950 scopus 로고    scopus 로고
    • Combined effects of 17 common genetic variants on type 2 diabetes risk in a Han Chinese population
    • Qi Q, Li H, Wu Y etal. Combined effects of 17 common genetic variants on type 2 diabetes risk in a Han Chinese population. Diabetologia. 2010; 53: 2163-2166.
    • (2010) Diabetologia , vol.53 , pp. 2163-2166
    • Qi, Q.1    Li, H.2    Wu, Y.3
  • 67
    • 56749101779 scopus 로고    scopus 로고
    • Genotype score in addition to common risk factors for prediction of type 2 diabetes
    • Meigs JB, Shrader P, Sullivan LM etal. Genotype score in addition to common risk factors for prediction of type 2 diabetes. N Engl J Med. 2008; 359: 2208-2219.
    • (2008) N Engl J Med , vol.359 , pp. 2208-2219
    • Meigs, J.B.1    Shrader, P.2    Sullivan, L.M.3
  • 68
    • 58149333712 scopus 로고    scopus 로고
    • Predicting type 2 diabetes based on polymorphisms from genome-wide association studies: A population-based study
    • van Hoek M, Dehghan A, Witteman JC etal. Predicting type 2 diabetes based on polymorphisms from genome-wide association studies: A population-based study. Diabetes. 2008; 57: 3122-3128.
    • (2008) Diabetes , vol.57 , pp. 3122-3128
    • van Hoek, M.1    Dehghan, A.2    Witteman, J.C.3
  • 69
    • 56349096931 scopus 로고    scopus 로고
    • Assessing the combined impact of 18 common genetic variants of modest effect sizes on type 2 diabetes risk
    • Lango H, Palmer CN, Morris AD etal. Assessing the combined impact of 18 common genetic variants of modest effect sizes on type 2 diabetes risk. Diabetes. 2008; 57: 3129-3135.
    • (2008) Diabetes , vol.57 , pp. 3129-3135
    • Lango, H.1    Palmer, C.N.2    Morris, A.D.3
  • 70
    • 70449433016 scopus 로고    scopus 로고
    • PPARG, KCNJ11, CDKAL1, CDKN2A-CDKN2B, IDE-KIF11-HHEX, IGF2BP2 and SLC30A8 are associated with type 2 diabetes in a Chinese population
    • Hu C, Zhang R, Wang C etal. PPARG, KCNJ11, CDKAL1, CDKN2A-CDKN2B, IDE-KIF11-HHEX, IGF2BP2 and SLC30A8 are associated with type 2 diabetes in a Chinese population. PLoS ONE. 2009; 4: e7643.
    • (2009) PLoS ONE , vol.4 , pp. e7643
    • Hu, C.1    Zhang, R.2    Wang, C.3
  • 71
    • 67349169201 scopus 로고    scopus 로고
    • Combined analysis of 19 common validated type 2 diabetes susceptibility gene variants shows moderate discriminative value and no evidence of gene-gene interaction
    • Sparso T, Grarup N, Andreasen C etal. Combined analysis of 19 common validated type 2 diabetes susceptibility gene variants shows moderate discriminative value and no evidence of gene-gene interaction. Diabetologia. 2009; 52: 1308-1314.
    • (2009) Diabetologia , vol.52 , pp. 1308-1314
    • Sparso, T.1    Grarup, N.2    Andreasen, C.3
  • 72
    • 77955345183 scopus 로고    scopus 로고
    • Identification of undiagnosed type 2 diabetic individuals by the Finnish diabetes risk score and biochemical and genetic markers: A population-based study of 7232 Finnish men
    • Wang J, Stancakova A, Kuusisto J, Laakso M. Identification of undiagnosed type 2 diabetic individuals by the Finnish diabetes risk score and biochemical and genetic markers: A population-based study of 7232 Finnish men. J Clin Endocrinol Metab. 2010; 95: 3858-3862.
    • (2010) J Clin Endocrinol Metab , vol.95 , pp. 3858-3862
    • Wang, J.1    Stancakova, A.2    Kuusisto, J.3    Laakso, M.4
  • 73
    • 70449381518 scopus 로고    scopus 로고
    • Use of multiple metabolic and genetic markers to improve the prediction of type 2 diabetes: The EPIC-Potsdam Study
    • Schulze MB, Weikert C, Pischon T etal. Use of multiple metabolic and genetic markers to improve the prediction of type 2 diabetes: The EPIC-Potsdam Study. Diabetes Care. 2009; 32: 2116-2119.
    • (2009) Diabetes Care , vol.32 , pp. 2116-2119
    • Schulze, M.B.1    Weikert, C.2    Pischon, T.3
  • 74
    • 76249109928 scopus 로고    scopus 로고
    • Utility of genetic and non-genetic risk factors in prediction of type 2 diabetes: Whitehall II prospective cohort study
    • Talmud PJ, Hingorani AD, Cooper JA etal. Utility of genetic and non-genetic risk factors in prediction of type 2 diabetes: Whitehall II prospective cohort study. BMJ. 2010; 340: b4838.
    • (2010) BMJ , vol.340 , pp. b4838
    • Talmud, P.J.1    Hingorani, A.D.2    Cooper, J.A.3
  • 75
    • 84872044725 scopus 로고    scopus 로고
    • Novel risk factors and the prediction of type 2 diabetes in the Atherosclerosis Risk in Communities (ARIC) study
    • Raynor LA, Pankow JS, Duncan BB etal. Novel risk factors and the prediction of type 2 diabetes in the Atherosclerosis Risk in Communities (ARIC) study. Diabetes Care. 2013; 36: 70-76.
    • (2013) Diabetes Care , vol.36 , pp. 70-76
    • Raynor, L.A.1    Pankow, J.S.2    Duncan, B.B.3
  • 76
    • 83155173107 scopus 로고    scopus 로고
    • Analysis of 32 common susceptibility genetic variants and their combined effect in predicting risk of Type 2 diabetes and related traits in Indians
    • Janipalli CS, Kumar MV, Vinay DG etal. Analysis of 32 common susceptibility genetic variants and their combined effect in predicting risk of Type 2 diabetes and related traits in Indians. Diabet Med. 2012; 29: 121-127.
    • (2012) Diabet Med , vol.29 , pp. 121-127
    • Janipalli, C.S.1    Kumar, M.V.2    Vinay, D.G.3
  • 77
    • 79953216697 scopus 로고    scopus 로고
    • Updated genetic score based on 34 confirmed type 2 diabetes loci is associated with diabetes incidence and regression to normoglycemia in the diabetes prevention program
    • Hivert MF, Jablonski KA, Perreault L etal. Updated genetic score based on 34 confirmed type 2 diabetes loci is associated with diabetes incidence and regression to normoglycemia in the diabetes prevention program. Diabetes. 2011; 60: 1340-1348.
    • (2011) Diabetes , vol.60 , pp. 1340-1348
    • Hivert, M.F.1    Jablonski, K.A.2    Perreault, L.3
  • 78
    • 77950795479 scopus 로고    scopus 로고
    • Combining genetic markers and clinical risk factors improves the risk assessment of impaired glucose metabolism
    • Ruchat SM, Vohl MC, Weisnagel SJ, Rankinen T, Bouchard C, Perusse L. Combining genetic markers and clinical risk factors improves the risk assessment of impaired glucose metabolism. Ann Med. 2010; 42: 196-206.
    • (2010) Ann Med , vol.42 , pp. 196-206
    • Ruchat, S.M.1    Vohl, M.C.2    Weisnagel, S.J.3    Rankinen, T.4    Bouchard, C.5    Perusse, L.6
  • 79
    • 84866090790 scopus 로고    scopus 로고
    • A genotype risk score predicts type 2 diabetes from young adulthood: The CARDIA study
    • Vassy JL, Durant NH, Kabagambe EK etal. A genotype risk score predicts type 2 diabetes from young adulthood: The CARDIA study. Diabetologia. 2012; 55: 2604-2612.
    • (2012) Diabetologia , vol.55 , pp. 2604-2612
    • Vassy, J.L.1    Durant, N.H.2    Kabagambe, E.K.3
  • 81
    • 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
    • de Miguel-Yanes JM, Shrader P, Pencina MJ etal. 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
  • 82
    • 84877907738 scopus 로고    scopus 로고
    • The value of genetic information for diabetes risk prediction: Differences according to sex, age, family history and obesity
    • Muhlenbruch K, Jeppesen C, Joost HG, Boeing H, Schulze MB. The value of genetic information for diabetes risk prediction: Differences according to sex, age, family history and obesity. PLoS ONE. 2013; 8: e64307.
    • (2013) PLoS ONE , vol.8 , pp. e64307
    • Muhlenbruch, K.1    Jeppesen, C.2    Joost, H.G.3    Boeing, H.4    Schulze, M.B.5
  • 83
    • 84887987730 scopus 로고    scopus 로고
    • Prediction of type 2 diabetes in women with a history of gestational diabetes using a genetic risk score
    • Kwak SH, Choi SH, Kim K etal. Prediction of type 2 diabetes in women with a history of gestational diabetes using a genetic risk score. Diabetologia. 2013; 56: 2556-2563.
    • (2013) Diabetologia , vol.56 , pp. 2556-2563
    • Kwak, S.H.1    Choi, S.H.2    Kim, K.3
  • 84
    • 84885236294 scopus 로고    scopus 로고
    • Assessing the clinical utility of a genetic risk score constructed using 49 susceptibility alleles for type 2 diabetes in a Japanese population
    • Imamura M, Shigemizu D, Tsunoda T etal. Assessing the clinical utility of a genetic risk score constructed using 49 susceptibility alleles for type 2 diabetes in a Japanese population. J Clin Endocrinol Metab. 2013; 98: E1667-1673.
    • (2013) J Clin Endocrinol Metab , vol.98 , pp. E1667-E1673
    • Imamura, M.1    Shigemizu, D.2    Tsunoda, T.3
  • 85
    • 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 etal. 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
  • 86
    • 84904746615 scopus 로고    scopus 로고
    • Type 2 diabetes-related genetic risk scores associated with variations in fasting plasma glucose and development of impaired glucose homeostasis in the prospective DESIR study
    • Vaxillaire M, Yengo L, Lobbens S etal. Type 2 diabetes-related genetic risk scores associated with variations in fasting plasma glucose and development of impaired glucose homeostasis in the prospective DESIR study. Diabetologia. 2014; 57: 1601-1610.
    • (2014) Diabetologia , vol.57 , pp. 1601-1610
    • Vaxillaire, M.1    Yengo, L.2    Lobbens, S.3
  • 87
    • 38849091997 scopus 로고    scopus 로고
    • Evaluating the added predictive ability of a new marker: From area under the ROC curve to reclassification and beyond
    • Pencina MJ, D'Agostino RB Sr, D'Agostino RB Jr, Vasan RS. Evaluating the added predictive ability of a new marker: From area under the ROC curve to reclassification and beyond. Stat Med. 2008; 27: 157-172.
    • (2008) Stat Med , vol.27 , pp. 157-172
    • Pencina, M.J.1    D'Agostino, R.B.2    D'Agostino, R.B.3    Vasan, R.S.4
  • 88
    • 77952478836 scopus 로고    scopus 로고
    • Assessment of improved prediction beyond traditional risk factors: When does a difference make a difference?
    • Janssens AC, Khoury MJ. Assessment of improved prediction beyond traditional risk factors: When does a difference make a difference? Circ Cardiovas Genet. 2010; 3: 3-5.
    • (2010) Circ Cardiovas Genet , vol.3 , pp. 3-5
    • Janssens, A.C.1    Khoury, M.J.2
  • 89
    • 77955162111 scopus 로고    scopus 로고
    • Improvement of risk prediction by genomic profiling: Reclassification measures versus the area under the receiver operating characteristic curve
    • Mihaescu R, van Zitteren M, van Hoek M etal. Improvement of risk prediction by genomic profiling: Reclassification measures versus the area under the receiver operating characteristic curve. Am J Epidemiol. 2010; 172: 353-361.
    • (2010) Am J Epidemiol , vol.172 , pp. 353-361
    • Mihaescu, R.1    van Zitteren, M.2    van Hoek, M.3
  • 90
    • 84885819536 scopus 로고    scopus 로고
    • Predicting risk of type 2 diabetes mellitus with genetic risk models on the basis of established genome-wide association markers: A systematic review
    • Bao W, Hu FB, Rong S etal. Predicting risk of type 2 diabetes mellitus with genetic risk models on the basis of established genome-wide association markers: A systematic review. Am J Epidemiol. 2013; 178: 1197-1207.
    • (2013) Am J Epidemiol , vol.178 , pp. 1197-1207
    • Bao, W.1    Hu, F.B.2    Rong, S.3
  • 91
    • 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
  • 92
    • 78649477601 scopus 로고    scopus 로고
    • Extensions of net reclassification improvement calculations to measure usefulness of new biomarkers
    • Pencina MJ, D'Agostino RB Sr, Steyerberg EW. Extensions of net reclassification improvement calculations to measure usefulness of new biomarkers. Stat Med. 2011; 30: 11-21.
    • (2011) Stat Med , vol.30 , pp. 11-21
    • Pencina, M.J.1    D'Agostino, R.B.2    Steyerberg, E.W.3
  • 93
    • 38849111838 scopus 로고    scopus 로고
    • Comments on "Evaluating the added predictive ability of a new marker: From area under the ROC curve to reclassification and beyond" by M. J. Pencina , Statistics in Medicine (DOI: 10.1002/sim.2929)
    • Ware JH, Cai T. Comments on "Evaluating the added predictive ability of a new marker: From area under the ROC curve to reclassification and beyond" by M. J. Pencina etal., Statistics in Medicine (DOI: 10.1002/sim.2929). Stat Med. 2008; 27: 185-187.
    • (2008) Stat Med , vol.27 , pp. 185-187
    • Ware, J.H.1    Cai, T.2


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