-
1
-
-
79960505344
-
Risk assessment tools for identifying individuals at risk of developing type 2 diabetes
-
21622851 10.1093/epirev/mxq019
-
Buijsse B, Simmons RK, Griffin SJ, Schulze MB (2011) Risk assessment tools for identifying individuals at risk of developing type 2 diabetes. Epidemiol Rev 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
-
2
-
-
83755173339
-
Risk models and scores for type 2 diabetes: Systematic review
-
22123912 10.1136/bmj.d7163
-
Noble D, Mathur R, Dent T, Meads C, Greenhalgh T (2011) Risk models and scores for type 2 diabetes: systematic review. BMJ 343:d7163
-
(2011)
BMJ
, vol.343
, pp. 7163
-
-
Noble, D.1
Mathur, R.2
Dent, T.3
Meads, C.4
Greenhalgh, T.5
-
3
-
-
84866607803
-
Prediction models for risk of developing type 2 diabetes: Systematic literature search and independent external validation study
-
22990994 10.1136/bmj.e5900
-
Abbasi A, Peelen LM, Corpeleijn E et al (2012) Prediction models for risk of developing type 2 diabetes: systematic literature search and independent external validation study. BMJ 345:e5900
-
(2012)
BMJ
, vol.345
, pp. 5900
-
-
Abbasi, A.1
Peelen, L.M.2
Corpeleijn, E.3
-
4
-
-
84860113852
-
Risk prediction models: I. Development, internal validation, and assessing the incremental value of a new (bio)marker
-
22397945 10.1136/heartjnl-2011-301246
-
Moons KGM, Kengne AP, Woodward M et al (2012) Risk prediction models: I. Development, internal validation, and assessing the incremental value of a new (bio)marker. Heart 98:683-690
-
(2012)
Heart
, vol.98
, pp. 683-690
-
-
Moons, K.G.M.1
Kengne, A.P.2
Woodward, M.3
-
5
-
-
84860159431
-
Risk prediction models: II. External validation, model updating, and impact assessment
-
22397946 10.1136/heartjnl-2011-301247
-
Moons KGM, Kengne AP, de Grobbee et al (2012) Risk prediction models: II. External validation, model updating, and impact assessment. Heart 98:691-698
-
(2012)
Heart
, vol.98
, pp. 691-698
-
-
Moons, K.G.M.1
Kengne, A.P.2
De Grobbee3
-
6
-
-
80052567230
-
Developing risk prediction models for type 2 diabetes: A systematic review of methodology and reporting
-
21902820 10.1186/1741-7015-9-103
-
Collins GS, Mallett S, Omar O, Yu LM (2011) Developing risk prediction models for type 2 diabetes: a systematic review of methodology and reporting. BMC Med 9:103
-
(2011)
BMC Med
, vol.9
, pp. 103
-
-
Collins, G.S.1
Mallett, S.2
Omar, O.3
Yu, L.M.4
-
7
-
-
33847109797
-
Use and misuse of the receiver operating characteristic curve in risk prediction
-
17309939 10.1161/CIRCULATIONAHA.106.672402
-
Cook NR (2007) Use and misuse of the receiver operating characteristic curve in risk prediction. Circulation 115:928-935
-
(2007)
Circulation
, vol.115
, pp. 928-935
-
-
Cook, N.R.1
-
8
-
-
84878693410
-
Use of areas under the receiver operating curve (AROCs) and some caveats
-
22945840 10.1007/s00038-012-0401-x 1:STN:280:DC%2BC38bjvVaqsA%3D%3D
-
Kowall B, Rathmann W, Strassburger K (2013) Use of areas under the receiver operating curve (AROCs) and some caveats. Int J Public Health 58:485-488
-
(2013)
Int J Public Health
, vol.58
, pp. 485-488
-
-
Kowall, B.1
Rathmann, W.2
Strassburger, K.3
-
9
-
-
0023710206
-
Comparing the areas under two or more correlated receiver-operating characteristic curves; A nonparametric approach
-
3203132 10.2307/2531595 1:STN:280:DyaL1M%2Fns12ksQ%3D%3D
-
DeLong ER, DeLong DM, Clarke Pearson DL (1988) Comparing the areas under two or more correlated receiver-operating characteristic curves; a nonparametric approach. Biometrics 44:837-845
-
(1988)
Biometrics
, vol.44
, pp. 837-845
-
-
Delong, E.R.1
Delong, D.M.2
Clarke Pearson, D.L.3
-
10
-
-
38849091997
-
Evaluating the added predictive ability of a new marker: From area under the ROC curve to reclassification and beyond
-
17569110 10.1002/sim.2929
-
Pencina MJ, D'Agostino RB Sr, D'Agostino RB Jr, Vasan RS (2008) Evaluating the added predictive ability of a new marker: from area under the ROC curve to reclassification and beyond. Stat Med 27:157-172
-
(2008)
Stat Med
, vol.27
, pp. 157-172
-
-
Pencina, M.J.1
D'Agostino, Sr.R.B.2
D'Agostino, Jr.R.B.3
Vasan, R.S.4
-
11
-
-
38849183343
-
The need for reorientation toward cost-effective prediction: 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 et al, Statistics in Medicine (DOI: 10.1002/sim.2929)
-
17729377 10.1002/sim.2995
-
Greenland S (2008) The need for reorientation toward cost-effective prediction: 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 et al, Statistics in Medicine (DOI: 10.1002/sim.2929). Stat Med 27:199-206
-
(2008)
Stat Med
, vol.27
, pp. 199-206
-
-
Greenland, S.1
-
12
-
-
84874930723
-
Assessing improvement in disease prediction using net reclassification improvement: Impact of risk cut-offs and number of risk categories
-
23179629 10.1007/s10654-012-9744-0
-
Mühlenbruch K, Heraclides A, Steyerberg EW, Joost HG, Boeing H, Schulze MB (2013) Assessing improvement in disease prediction using net reclassification improvement: impact of risk cut-offs and number of risk categories. Eur J Epidemiol 28:25-33
-
(2013)
Eur J Epidemiol
, vol.28
, pp. 25-33
-
-
Mühlenbruch, K.1
Heraclides, A.2
Steyerberg, E.W.3
Joost, H.G.4
Boeing, H.5
Schulze, M.B.6
-
13
-
-
84874943201
-
Net reclassification improvement: A link between statistics and clinical practice
-
23291877 10.1007/s10654-012-9759-6
-
Leening MJG, Cook NR (2013) Net reclassification improvement: a link between statistics and clinical practice. Eur J Epidemiol 28:21-23
-
(2013)
Eur J Epidemiol
, vol.28
, pp. 21-23
-
-
Leening, M.J.G.1
Cook, N.R.2
-
14
-
-
84871256908
-
Interpreting incremental value of markers added to risk prediction models
-
10.1093/aje/kws207
-
Pencina MJ, D'Agostino RB, Pencina KM, Janssens AC, Greenland P (2012) Interpreting incremental value of markers added to risk prediction models. Am J Epidemiol 76:473-481
-
(2012)
Am J Epidemiol
, vol.76
, pp. 473-481
-
-
Pencina, M.J.1
D'Agostino, R.B.2
Pencina, K.M.3
Janssens, A.C.4
Greenland, P.5
-
15
-
-
78649477601
-
Extensions of net reclassification improvement calculations to measure usefulness of new biomarkers
-
21204120 10.1002/sim.4085
-
Pencina MJ, D'Agostino RB, Steyerberg EW (2011) Extensions of net reclassification improvement calculations to measure usefulness of new biomarkers. Stat Med 30:11-21
-
(2011)
Stat Med
, vol.30
, pp. 11-21
-
-
Pencina, M.J.1
D'Agostino, R.B.2
Steyerberg, E.W.3
-
16
-
-
36849089158
-
Updating methods improved the performance of a clinical prediction model in new patients
-
18083464 10.1016/j.jclinepi.2007.04.018 1:STN:280:DC%2BD2sjks1Citg%3D%3D
-
Janssen KJM, Moons KGM, Kalkman CJ, Grobbe DE, Vergouwe Y (2008) Updating methods improved the performance of a clinical prediction model in new patients. J Clin Epidemiol 61:76-86
-
(2008)
J Clin Epidemiol
, vol.61
, pp. 76-86
-
-
Janssen, K.J.M.1
Moons, K.G.M.2
Kalkman, C.J.3
Grobbe, D.E.4
Vergouwe, Y.5
-
17
-
-
47049124269
-
A simple risk score identifies individuals at high risk of developing type 2 diabetes: A prospective cohort study
-
18515811 10.1093/fampra/cmn024
-
Rahman M, Simmons RK, Harding AH, Wareham NJ, Griffin SJ (2008) A simple risk score identifies individuals at high risk of developing type 2 diabetes: a prospective cohort study. Fam Pract 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
-
18
-
-
77956855172
-
Prediction models for incident type 2 diabetes mellitus in the older population: KORA S4/F4 cohort study
-
20854378 10.1111/j.1464-5491.2010.03065.x 1:CAS:528:DC%2BC3cXhsVagtb7O
-
Rathmann W, Kowall B, Heier M et al (2010) Prediction models for incident type 2 diabetes mellitus in the older population: KORA S4/F4 cohort study. Diabet Med 27:1116-1123
-
(2010)
Diabet Med
, vol.27
, pp. 1116-1123
-
-
Rathmann, W.1
Kowall, B.2
Heier, M.3
-
19
-
-
0042743790
-
The diabetes risk score: A practical tool to predict type 2 diabetes risk
-
12610029 10.2337/diacare.26.3.725
-
Lindström J, Tuomilehto J (2003) The diabetes risk score: a practical tool to predict type 2 diabetes risk. Diabetes Care 26:725-731
-
(2003)
Diabetes Care
, vol.26
, pp. 725-731
-
-
Lindström, J.1
Tuomilehto, J.2
-
20
-
-
66849095444
-
Predicting risk of type 2 diabetes in England and Wales: Prospective derivation and validation of QDScore
-
19297312 10.1136/bmj.b880
-
Hippisley-Cox J, Coupland C, Robson J, Sheikh A, Brindle P (2009) Predicting risk of type 2 diabetes in England and Wales: prospective derivation and validation of QDScore. BMJ 338:b880
-
(2009)
BMJ
, vol.338
, pp. 880
-
-
Hippisley-Cox, J.1
Coupland, C.2
Robson, J.3
Sheikh, A.4
Brindle, P.5
-
21
-
-
77950362329
-
AUSDRISK: An Australian Type 2 Diabetes Risk Assessment Tool based on demographic, lifestyle and simple anthropometric measures
-
20170456
-
Chen L, Magliano DJ, Balkau B et al (2010) AUSDRISK: an Australian Type 2 Diabetes Risk Assessment Tool based on demographic, lifestyle and simple anthropometric measures. Med J Aust 192:197-202
-
(2010)
Med J Aust
, vol.192
, pp. 197-202
-
-
Chen, L.1
Magliano, D.J.2
Balkau, B.3
-
22
-
-
66649113490
-
Two risk-scoring systems for predicting incident diabetes mellitus in U.S. Adults age 45 to 64 years
-
19487709 10.7326/0003-4819-150-11-200906020-00002
-
Kahn HS, Cheng YJ, Thompson TJ, Imperatore G, Gregg EW (2009) Two risk-scoring systems for predicting incident diabetes mellitus in U.S. adults age 45 to 64 years. Ann Intern Med 150:741-751
-
(2009)
Ann Intern Med
, vol.150
, pp. 741-751
-
-
Kahn, H.S.1
Cheng, Y.J.2
Thompson, T.J.3
Imperatore, G.4
Gregg, E.W.5
-
23
-
-
0037117467
-
Identification of persons at high risk for type 2 diabetes mellitus: Do we need the oral glucose tolerance test?
-
11955025 10.7326/0003-4819-136-8-200204160-00006
-
Stern MP, Williams K, Haffner SM (2002) Identification of persons at high risk for type 2 diabetes mellitus: do we need the oral glucose tolerance test? Ann Intern Med 136:575-581
-
(2002)
Ann Intern Med
, vol.136
, pp. 575-581
-
-
Stern, M.P.1
Williams, K.2
Haffner, S.M.3
-
24
-
-
23044457006
-
Identifying individuals at high risk for diabetes: The Atherosclerosis Risk in Communities study
-
16043747 10.2337/diacare.28.8.2013
-
Schmidt MI, Duncan BB, Bang H et al (2005) Identifying individuals at high risk for diabetes: the Atherosclerosis Risk in Communities study. Diabetes Care 28:2013-2018
-
(2005)
Diabetes Care
, vol.28
, pp. 2013-2018
-
-
Schmidt, M.I.1
Duncan, B.B.2
Bang, H.3
-
25
-
-
34249654186
-
Prediction of incident diabetes mellitus in middle-aged adults: The Framingham Offspring Study
-
17533210 10.1001/archinte.167.10.1068
-
Wilson PW, Meigs JB, Sullivan L, Fox CS, Nathan DM, D'Agostino RB Sr (2007) Prediction of incident diabetes mellitus in middle-aged adults: the Framingham Offspring Study. Arch Intern Med 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, Sr.R.B.6
-
26
-
-
76249109928
-
Utility of genetic and non-genetic risk factors in prediction of type 2 diabetes: Whitehall II prospective cohort study
-
20075150 10.1136/bmj.b4838
-
Talmud PJ, Hingorani AD, Cooper JA et al (2010) Utility of genetic and non-genetic risk factors in prediction of type 2 diabetes: Whitehall II prospective cohort study. BMJ 340:b4838
-
(2010)
BMJ
, vol.340
, pp. 4838
-
-
Talmud, P.J.1
Hingorani, A.D.2
Cooper, J.A.3
-
27
-
-
84857923360
-
External validation of the KORA S4âF4 prediction models for the risk of developing type 2 diabetes in older adults: The PREVEND Study
-
22215562 10.1007/s10654-011-9648-4
-
Abbasi A, Corpeleijn E, Peelen LM et al (2012) External validation of the KORA S4âF4 prediction models for the risk of developing type 2 diabetes in older adults: the PREVEND Study. Eur J Epidemiol 27:47-52
-
(2012)
Eur J Epidemiol
, vol.27
, pp. 47-52
-
-
Abbasi, A.1
Corpeleijn, E.2
Peelen, L.M.3
-
28
-
-
79954630748
-
The Evaluation of Screening and Early Detection Strategies for Type 2 Diabetes and Impaired Glucose Tolerance (DETECT-2) update of the Finnish diabetes risk score for prediction of incident type 2 diabetes
-
21153531 10.1007/s00125-010-1990-7 1:STN:280:DC%2BC3MrjsVensQ%3D%3D
-
Alssema M, Vistisen D, Heymans MW et al (2011) The Evaluation of Screening and Early Detection Strategies for Type 2 Diabetes and Impaired Glucose Tolerance (DETECT-2) update of the Finnish diabetes risk score for prediction of incident type 2 diabetes. Diabetologia 54:1004-1012
-
(2011)
Diabetologia
, vol.54
, pp. 1004-1012
-
-
Alssema, M.1
Vistisen, D.2
Heymans, M.W.3
-
29
-
-
79954474987
-
External validation of QDSCORE® for predicting the 10-year risk of developing type 2 diabetes
-
21480970 10.1111/j.1464-5491.2011.03237.x 1:STN:280: DC%2BC3Mvis1Kjuw%3D%3D
-
Collins GS, Altman DG (2011) External validation of QDSCORE® for predicting the 10-year risk of developing type 2 diabetes. Diabet Med 28:599-607
-
(2011)
Diabet Med
, vol.28
, pp. 599-607
-
-
Collins, G.S.1
Altman, D.G.2
-
30
-
-
77952308870
-
Comparative validity of 3 diabetes mellitus risk prediction scoring models in a multiethnic US cohort: The Multi-Ethnic Study of Atherosclerosis
-
20375194 10.1093/aje/kwq030
-
Mann DM, Bertoni AG, Shimbo D et al (2010) Comparative validity of 3 diabetes mellitus risk prediction scoring models in a multiethnic US cohort: the Multi-Ethnic Study of Atherosclerosis. Am J Epidemiol 171:980-988
-
(2010)
Am J Epidemiol
, vol.171
, pp. 980-988
-
-
Mann, D.M.1
Bertoni, A.G.2
Shimbo, D.3
-
31
-
-
84878858655
-
1c 6.0-6.4% and other prediabetes definitions to type 2 diabetes: A meta-analysis
-
23584433 10.1007/s00125-013-2902-4 1:CAS:528:DC%2BC3sXptVCntb4%3D
-
1c 6.0-6.4% and other prediabetes definitions to type 2 diabetes: a meta-analysis. Diabetologia 56:1489-1493
-
(2013)
Diabetologia
, vol.56
, pp. 1489-1493
-
-
Morris, D.H.1
Khunti, K.2
Achana, F.3
-
32
-
-
70549087097
-
Incidence of type 2 diabetes in the elderly German population and the effect of clinical and lifestyle risk factors: KORA S4/F4 cohort study
-
20002472 10.1111/j.1464-5491.2009.02863.x 1:CAS:528: DC%2BC3cXnvFCqtg%3D%3D
-
Rathmann W, Strassburger K, Heier M et al (2009) Incidence of type 2 diabetes in the elderly German population and the effect of clinical and lifestyle risk factors: KORA S4/F4 cohort study. Diabet Med 26:1212-1219
-
(2009)
Diabet Med
, vol.26
, pp. 1212-1219
-
-
Rathmann, W.1
Strassburger, K.2
Heier, M.3
-
33
-
-
68449083718
-
Pathophysiology and aetiology of impaired fasting glycaemia and impaired glucose tolerance: Does it matter for prevention and treatment of type 2 diabetes?
-
19590846 10.1007/s00125-009-1443-3 1:CAS:528:DC%2BD1MXpsFyrsL4%3D
-
Faerch K, Borch-Johnsen K, Holst JJ, Vaag A (2009) Pathophysiology and aetiology of impaired fasting glycaemia and impaired glucose tolerance: does it matter for prevention and treatment of type 2 diabetes? Diabetologia 52:1714-1723
-
(2009)
Diabetologia
, vol.52
, pp. 1714-1723
-
-
Faerch, K.1
Borch-Johnsen, K.2
Holst, J.J.3
Vaag, A.4
-
34
-
-
25844496292
-
Normal fasting plasma glucose levels and type 2 diabetes in young men
-
16207847 10.1056/NEJMoa050080 1:CAS:528:DC%2BD2MXhtVOisL7F
-
Tirosh A, Shai I, Tekes-Manova D et al (2005) Normal fasting plasma glucose levels and type 2 diabetes in young men. N Engl J Med 353:1454-1462
-
(2005)
N Engl J Med
, vol.353
, pp. 1454-1462
-
-
Tirosh, A.1
Shai, I.2
Tekes-Manova, D.3
-
35
-
-
67650070809
-
Development of a type 2 diabetes risk model from a panel of serum biomarkers from the Inter99 cohort
-
19564473 10.2337/dc08-1935
-
Kolberg JA, Jorgensen T, Gerwien RW et al (2009) Development of a type 2 diabetes risk model from a panel of serum biomarkers from the Inter99 cohort. Diabetes Care 32:1207-1212
-
(2009)
Diabetes Care
, vol.32
, pp. 1207-1212
-
-
Kolberg, J.A.1
Jorgensen, T.2
Gerwien, R.W.3
-
36
-
-
84875236592
-
Random glucose is useful for individual prediction of type 2 diabetes: Results of the Study of Health in Pomerania (SHIP)
-
23280257 10.1016/j.pcd.2012.12.001
-
Kowall B, Rathmann W, Giani G et al (2013) Random glucose is useful for individual prediction of type 2 diabetes: results of the Study of Health in Pomerania (SHIP). Prim Care Diabetes 7:25-31
-
(2013)
Prim Care Diabetes
, vol.7
, pp. 25-31
-
-
Kowall, B.1
Rathmann, W.2
Giani, G.3
-
37
-
-
82655172366
-
Prognostic value of haemoglobin A1c and fasting plasma glucose for incident diabetes and implications for screening
-
21947790 10.1007/s10654-011-9619-9
-
Schöttker B, Raum E, Rothenbacher D, Müller H, Brenner H (2011) Prognostic value of haemoglobin A1c and fasting plasma glucose for incident diabetes and implications for screening. Eur J Epidemiol 26:779-787
-
(2011)
Eur J Epidemiol
, vol.26
, pp. 779-787
-
-
Schöttker, B.1
Raum, E.2
Rothenbacher, D.3
Müller, H.4
Brenner, H.5
-
38
-
-
84868191135
-
Development of a new scoring system for predicting the 5 year incidence of type 2 diabetes in Japan: The Toranomon Hospital Health Management Center Study 6 (TOPICS 6)
-
22955996 10.1007/s00125-012-2712-0 1:STN:280:DC%2BC38bkvVCntg%3D%3D
-
Heianza Y, Arase Y, Hsieh SD et al (2012) Development of a new scoring system for predicting the 5 year incidence of type 2 diabetes in Japan: the Toranomon Hospital Health Management Center Study 6 (TOPICS 6). Diabetologia 55:3213-3223
-
(2012)
Diabetologia
, vol.55
, pp. 3213-3223
-
-
Heianza, Y.1
Arase, Y.2
Hsieh, S.D.3
-
39
-
-
79959378842
-
Biomarkers for the prediction of type 2 diabetes and cardiovascular disease
-
21654741 10.1038/clpt.2011.93 1:CAS:528:DC%2BC3MXnvVaksL4%3D
-
Herder C, Karakas M, Koenig W (2011) Biomarkers for the prediction of type 2 diabetes and cardiovascular disease. Clin Pharmacol Ther 90:52-66
-
(2011)
Clin Pharmacol Ther
, vol.90
, pp. 52-66
-
-
Herder, C.1
Karakas, M.2
Koenig, W.3
-
40
-
-
79960202841
-
Type 2 diabetes across generations: From pathophysiology to prevention and management
-
21705072 10.1016/S0140-6736(11)60614-4
-
Nolan CJ, Damm P, Prentki M (2011) Type 2 diabetes across generations: from pathophysiology to prevention and management. Lancet 378:169-181
-
(2011)
Lancet
, vol.378
, pp. 169-181
-
-
Nolan, C.J.1
Damm, P.2
Prentki, M.3
-
41
-
-
80053385333
-
Genome-wide association study in individuals of South Asian ancestry identifies six new type 2 diabetes susceptibility loci
-
21874001 10.1038/ng.921 1:CAS:528:DC%2BC3MXhtV2gtrfK
-
Kooner JS, Saleheen D, Sim X et al (2011) Genome-wide association study in individuals of South Asian ancestry identifies six new type 2 diabetes susceptibility loci. Nat Genet 43:984-989
-
(2011)
Nat Genet
, vol.43
, pp. 984-989
-
-
Kooner, J.S.1
Saleheen, D.2
Sim, X.3
-
42
-
-
84655162045
-
Meta-analysis of genome-wide association studies identifies eight new loci for type 2 diabetes in east Asians
-
22158537 10.1038/ng.1019
-
Cho YS, Chen CH, Hu C et al (2011) Meta-analysis of genome-wide association studies identifies eight new loci for type 2 diabetes in east Asians. Nat Genet 44:67-72
-
(2011)
Nat Genet
, vol.44
, pp. 67-72
-
-
Cho, Y.S.1
Chen, C.H.2
Hu, C.3
-
43
-
-
84868337361
-
Large-scale association analysis provides insights into the genetic architecture and pathophysiology of type 2 diabetes
-
22885922 10.1038/ng.2383 1:CAS:528:DC%2BC38XhtFOgsLfP
-
Morris AP, Voight BF, Teslowich TM et al (2012) Large-scale association analysis provides insights into the genetic architecture and pathophysiology of type 2 diabetes. Nat Genet 44:981-990
-
(2012)
Nat Genet
, vol.44
, pp. 981-990
-
-
Morris, A.P.1
Voight, B.F.2
Teslowich, T.M.3
-
44
-
-
84874966710
-
The genetics of type 2 diabetes and its clinical relevance
-
23167659 10.1111/cge.12055 1:CAS:528:DC%2BC3sXmsFWru7s%3D
-
Pal PA, McCarthy MI (2013) The genetics of type 2 diabetes and its clinical relevance. Clin Genet 83:297-306
-
(2013)
Clin Genet
, vol.83
, pp. 297-306
-
-
Pal, P.A.1
McCarthy, M.I.2
-
45
-
-
75749086085
-
New genetic loci implicated in fasting glucose homeostasis and their impact on type 2 diabetes risk
-
20081858 10.1038/ng.520 1:CAS:528:DC%2BC3cXntVCqsw%3D%3D
-
Dupuis J, Langenberg C, Prokopenko I et al (2010) New genetic loci implicated in fasting glucose homeostasis and their impact on type 2 diabetes risk. Nat Genet 42:105-116
-
(2010)
Nat Genet
, vol.42
, pp. 105-116
-
-
Dupuis, J.1
Langenberg, C.2
Prokopenko, I.3
-
46
-
-
84865693929
-
Large-scale association analyses identify new loci influencing glycemic traits and provide insight into the underlying biological pathways
-
22885924 10.1038/ng.2385 1:CAS:528:DC%2BC38XhtFOgsbzJ
-
Scott RA, Lagou V, Welch RP et al (2012) Large-scale association analyses identify new loci influencing glycemic traits and provide insight into the underlying biological pathways. Nat Genet 44:991-1005
-
(2012)
Nat Genet
, vol.44
, pp. 991-1005
-
-
Scott, R.A.1
Lagou, V.2
Welch, R.P.3
-
47
-
-
77954143522
-
Twelve type 2 diabetes susceptibility loci identified through large-scale association analysis
-
20581827 10.1038/ng.609 1:CAS:528:DC%2BC3cXnvFykt70%3D
-
Voight BF, Scott LJ, Steinthorsdottir V et al (2010) Twelve type 2 diabetes susceptibility loci identified through large-scale association analysis. Nat Genet 42:579-589
-
(2010)
Nat Genet
, vol.42
, pp. 579-589
-
-
Voight, B.F.1
Scott, L.J.2
Steinthorsdottir, V.3
-
48
-
-
84861614905
-
A genome-wide approach accounting for body mass index identifies genetic variants influencing fasting glycemic traits and insulin resistance
-
22581228 10.1038/ng.2274 1:CAS:528:DC%2BC38XmvFCjtbw%3D
-
Manning AK, Hivert MF, Scott RA et al (2012) A genome-wide approach accounting for body mass index identifies genetic variants influencing fasting glycemic traits and insulin resistance. Nat Genet 44:659-669
-
(2012)
Nat Genet
, vol.44
, pp. 659-669
-
-
Manning, A.K.1
Hivert, M.F.2
Scott, R.A.3
-
49
-
-
78649842241
-
Genomics, type 2 diabetes, and obesity
-
21142536 10.1056/NEJMra0906948 1:CAS:528:DC%2BC3cXhsFGkt7zO
-
McCarthy MI (2010) Genomics, type 2 diabetes, and obesity. N Engl J Med 363:2339-2350
-
(2010)
N Engl J Med
, vol.363
, pp. 2339-2350
-
-
McCarthy, M.I.1
-
50
-
-
84871612654
-
The link between family history and risk of type 2 diabetes is not explained by anthropometric, lifestyle or genetic risk factors: The EPIC-InterAct study
-
InterAct Consortium 10.1007/s00125-012-2715-x
-
InterAct Consortium (2013) The link between family history and risk of type 2 diabetes is not explained by anthropometric, lifestyle or genetic risk factors: the EPIC-InterAct study. Diabetologia 56:60-69
-
(2013)
Diabetologia
, vol.56
, pp. 60-69
-
-
-
51
-
-
79955614502
-
Genetics of type 2 diabetes. Pathophysiologic and clinical relevance
-
21198561 10.1111/j.1365-2362.2010.02454.x
-
Herder C, Roden M (2011) Genetics of type 2 diabetes. Pathophysiologic and clinical relevance. Eur J Clin Invest 41:679-692
-
(2011)
Eur J Clin Invest
, vol.41
, pp. 679-692
-
-
Herder, C.1
Roden, M.2
-
52
-
-
80755140152
-
A methodological perspective on genetic risk prediction studies in type 2 diabetes: Recommendations for future research
-
21947855 10.1007/s11892-011-0235-6
-
Willems SM, Mihaescu R, Sijbrands EJG, van Duijn CM, Janssens AC (2011) A methodological perspective on genetic risk prediction studies in type 2 diabetes: recommendations for future research. Curr Diab Rep 11:511-518
-
(2011)
Curr Diab Rep
, vol.11
, pp. 511-518
-
-
Willems, S.M.1
Mihaescu, R.2
Sijbrands, E.J.G.3
Van Duijn, C.M.4
Janssens, A.C.5
-
53
-
-
79951715822
-
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 et al (2011) Genetic risk reclassification for type 2 diabetes by age below or above 50 years using 40 type 2 diabetes risk single nucleotide polymorphisms. Diabetes 34:121-125
-
(2011)
Diabetes
, vol.34
, pp. 121-125
-
-
De Miguel-Yanes, J.M.1
Shrader, P.2
Pencina, M.J.3
-
54
-
-
55649105963
-
Clinical risk factors, DNA variants, and the development of type 2 diabetes
-
19020324 10.1056/NEJMoa0801869 1:CAS:528:DC%2BD1cXhtl2gurnF
-
Lyssenko V, Jonsson A, Almgren P et al (2008) Clinical risk factors, DNA variants, and the development of type 2 diabetes. N Engl J Med 359:2220-2232
-
(2008)
N Engl J Med
, vol.359
, pp. 2220-2232
-
-
Lyssenko, V.1
Jonsson, A.2
Almgren, P.3
-
55
-
-
84868618682
-
Genotype prediction of adult type 2 diabetes from adolescence in a multiracial population
-
23071215 10.1542/peds.2012-1132
-
Vassy JL, DasMahapatra P, Meigs JB et al (2012) Genotype prediction of adult type 2 diabetes from adolescence in a multiracial population. Pediatrics 130:e1235-e1242
-
(2012)
Pediatrics
, vol.130
-
-
Vassy, J.L.1
Dasmahapatra, P.2
Meigs, J.B.3
-
56
-
-
84859582458
-
Is genetic testing useful to predict type 2 diabetes?
-
22498248 10.1016/j.beem.2011.09.002
-
Vassy JL, Meigs JB (2012) Is genetic testing useful to predict type 2 diabetes? Best Pract Res Clin Endocrinol Metab 26:189-201
-
(2012)
Best Pract Res Clin Endocrinol Metab
, vol.26
, pp. 189-201
-
-
Vassy, J.L.1
Meigs, J.B.2
-
57
-
-
84859068424
-
Genetic risk assessment of type 2 diabetes-associated polymorphisms in African Americans
-
22275441 10.2337/dc11-0957 1:CAS:528:DC%2BC38Xjt1ajurk%3D
-
Cooke JN, Ng MCY, Palmer ND et al (2012) Genetic risk assessment of type 2 diabetes-associated polymorphisms in African Americans. Diabetes Care 35:287-292
-
(2012)
Diabetes Care
, vol.35
, pp. 287-292
-
-
Cooke, J.N.1
Ng, M.C.Y.2
Palmer, N.D.3
-
58
-
-
84866090790
-
A genotype risk score predicts type 2 diabetes from young adulthood: The CARDIA study
-
22782289 10.1007/s00125-012-2637-7 1:CAS:528:DC%2BC38XhtlWlsrrJ
-
Vassy JL, Durant NH, Kabagambe EK et al (2012) A genotype risk score predicts type 2 diabetes from young adulthood: the CARDIA study. Diabetologia 55:2604-2612
-
(2012)
Diabetologia
, vol.55
, pp. 2604-2612
-
-
Vassy, J.L.1
Durant, N.H.2
Kabagambe, E.K.3
-
59
-
-
70449433016
-
PPARG, KCNJ11, CDKN2A-CDKN2B, IDE-KIF11-HHEX, IGFBP2 and SLC30A8 are associated with type 2 diabetes in a Chinese population
-
19862325 10.1371/journal.pone.0007643
-
Hu C, Zhang R, Wang C et al (2009) PPARG, KCNJ11, CDKN2A-CDKN2B, IDE-KIF11-HHEX, IGFBP2 and SLC30A8 are associated with type 2 diabetes in a Chinese population. PLoS One 4:e7643
-
(2009)
PLoS One
, vol.4
, pp. 7643
-
-
Hu, C.1
Zhang, R.2
Wang, C.3
-
60
-
-
66249089500
-
Construction of a prediction model for type 2 diabetes mellitus in the Japanese population based on 11 genes with strong evidence of association
-
19247372 10.1038/jhg.2009.17 1:CAS:528:DC%2BD1MXmvVWju70%3D
-
Miyake K, Yang W, Hara K et al (2009) Construction of a prediction model for type 2 diabetes mellitus in the Japanese population based on 11 genes with strong evidence of association. J Hum Genet 54:236-241
-
(2009)
J Hum Genet
, vol.54
, pp. 236-241
-
-
Miyake, K.1
Yang, W.2
Hara, K.3
-
61
-
-
77958072950
-
Combined effects of 17 common genetic variants on type 2 diabetes risk in a Han Chinese population
-
20556352 10.1007/s00125-010-1826-5 1:CAS:528:DC%2BC3cXhtV2gtrnJ
-
Qi Q, Li H, Wu Y et al (2010) Combined effects of 17 common genetic variants on type 2 diabetes risk in a Han Chinese population. Diabetologia 53:2163-2166
-
(2010)
Diabetologia
, vol.53
, pp. 2163-2166
-
-
Qi, Q.1
Li, H.2
Wu, Y.3
-
62
-
-
84860547622
-
Type 2 diabetes risk alleles demonstrate extreme directional differentiation among human populations, compared to other diseases
-
Chen R, Corona E, Sikora M et al (2012) Type 2 diabetes risk alleles demonstrate extreme directional differentiation among human populations, compared to other diseases. PLoS Genet 8:e10002621
-
(2012)
PLoS Genet
, vol.8
, pp. 10002621
-
-
Chen, R.1
Corona, E.2
Sikora, M.3
-
63
-
-
84857654651
-
Rare MTNR1B variants impairing melatonin receptor 1B function contribute to type 2 diabetes
-
22286214 10.1038/ng.1053 1:CAS:528:DC%2BC38XhtlOktbk%3D
-
Bonnefond A, Clément N, Fawcett K et al (2012) Rare MTNR1B variants impairing melatonin receptor 1B function contribute to type 2 diabetes. Nat Genet 44:297-301
-
(2012)
Nat Genet
, vol.44
, pp. 297-301
-
-
Bonnefond, A.1
Clément, N.2
Fawcett, K.3
-
64
-
-
84876276050
-
Exome sequencing-driven discovery of coding polymorphisms associated with common metabolic phenotypes
-
23160641 10.1007/s00125-012-2756-1 1:CAS:528:DC%2BC3sXlt1GksQ%3D%3D
-
Albrechtsen A, Grarup N, Li Y et al (2013) Exome sequencing-driven discovery of coding polymorphisms associated with common metabolic phenotypes. Diabetologia 56:298-310
-
(2013)
Diabetologia
, vol.56
, pp. 298-310
-
-
Albrechtsen, A.1
Grarup, N.2
Li, Y.3
-
65
-
-
84975795680
-
An integrated map of genetic variation from 1,092 human genomes
-
The 1000 Genomes Project Consortium 10.1038/nature11632
-
The 1000 Genomes Project Consortium (2012) An integrated map of genetic variation from 1,092 human genomes. Nature 491:56-65
-
(2012)
Nature
, vol.491
, pp. 56-65
-
-
-
66
-
-
79953733858
-
The effect of next-generation sequencing technology on complex trait research
-
21155765 10.1111/j.1365-2362.2010.02437.x
-
Day-Williams AG, Zeggini E (2011) The effect of next-generation sequencing technology on complex trait research. Eur J Clin Invest 41:561-567
-
(2011)
Eur J Clin Invest
, vol.41
, pp. 561-567
-
-
Day-Williams, A.G.1
Zeggini, E.2
-
67
-
-
84858700458
-
Transcriptomics und typ-2-diabetes
-
10.1007/s11428-011-0777-x [article in German]
-
Herder C, Roden M, Carstensen M, Illig T (2012) Transcriptomics und typ-2-diabetes. Diabetologe 8:35-41 [article in German]
-
(2012)
Diabetologe
, vol.8
, pp. 35-41
-
-
Herder, C.1
Roden, M.2
Carstensen, M.3
Illig, T.4
-
68
-
-
84870895128
-
Analyzing Illumina gene expression microarray data from different tissues: Methodological aspects of data analysis in the MetaXpress Consortium
-
23236413 10.1371/journal.pone.0050938 1:CAS:528:DC%2BC38XhvV2qsbzM
-
Schurmann C, Heim K, Schillert A et al (2012) Analyzing Illumina gene expression microarray data from different tissues: methodological aspects of data analysis in the MetaXpress Consortium. PLoS One 7:e50938
-
(2012)
PLoS One
, vol.7
, pp. 50938
-
-
Schurmann, C.1
Heim, K.2
Schillert, A.3
-
69
-
-
80052099673
-
MicroRNAs in beta-cell biology, insulin resistance, diabetes and ist complications
-
21709277 10.2337/db11-0171 1:CAS:528:DC%2BC3MXptVChtLg%3D
-
Fernandez-Valverde SL, Taft RJ, Mattick JS (2011) MicroRNAs in beta-cell biology, insulin resistance, diabetes and ist complications. Diabetes 60:1825-1831
-
(2011)
Diabetes
, vol.60
, pp. 1825-1831
-
-
Fernandez-Valverde, S.L.1
Taft, R.J.2
Mattick, J.S.3
-
70
-
-
84864984120
-
MicroRNAs in insulin resistance and obesity
-
Williams MD, Mitchell GM (2012) MicroRNAs in insulin resistance and obesity. Exp Diab Res 2012:484696
-
(2012)
Exp Diab Res
, vol.2012
, pp. 484696
-
-
Williams, M.D.1
Mitchell, G.M.2
-
71
-
-
77957259803
-
Plasma microRNA profiling reveals loss of endothelial MiR-126 and other microRNAs in type 2 diabetes
-
20651284 10.1161/CIRCRESAHA.110.226357 1:CAS:528:DC%2BC3cXhtFOktrjI
-
Zampetaki A, Kiechl S, Drozdov I et al (2010) Plasma microRNA profiling reveals loss of endothelial MiR-126 and other microRNAs in type 2 diabetes. Circ Res 107:810-817
-
(2010)
Circ Res
, vol.107
, pp. 810-817
-
-
Zampetaki, A.1
Kiechl, S.2
Drozdov, I.3
-
72
-
-
84869503599
-
The genetic and epigenetic basis of type 2 diabetes and obesity
-
23047653 10.1038/clpt.2012.149 1:CAS:528:DC%2BC38Xhs12isL%2FI
-
Drong AW, Lindgren CM, McCarthy MI (2012) The genetic and epigenetic basis of type 2 diabetes and obesity. Clin Pharmacol Ther 92:707-715
-
(2012)
Clin Pharmacol Ther
, vol.92
, pp. 707-715
-
-
Drong, A.W.1
Lindgren, C.M.2
McCarthy, M.I.3
-
73
-
-
0001644020
-
The human plasma proteome: History, character, and diagnostic prospects
-
12488461 10.1074/mcp.R200007-MCP200 1:CAS:528:DC%2BD3sXht1Ciug%3D%3D
-
Anderson NL, Anderson NG (2002) The human plasma proteome: history, character, and diagnostic prospects. Mol Cell Proteomics 1:845-867
-
(2002)
Mol Cell Proteomics
, vol.1
, pp. 845-867
-
-
Anderson, N.L.1
Anderson, N.G.2
-
74
-
-
57749171580
-
Proteomics in diabetes research
-
18657591 10.1016/j.mce.2008.06.018 1:CAS:528:DC%2BD1cXhsFajt7rI
-
Sundsten T, Ortsäter H (2009) Proteomics in diabetes research. Mol Cell Endocrinol 297:93-103
-
(2009)
Mol Cell Endocrinol
, vol.297
, pp. 93-103
-
-
Sundsten, T.1
Ortsäter, H.2
-
75
-
-
79958219634
-
Immunological and cardiometabolic risk factors in the prediction of type 2 diabetes and coronary events: MONICA/KORA Augsburg case-cohort study
-
21674000 10.1371/journal.pone.0019852 1:CAS:528:DC%2BC3MXnsFaltrk%3D
-
Herder C, Baumert J, Zierer A et al (2011) Immunological and cardiometabolic risk factors in the prediction of type 2 diabetes and coronary events: MONICA/KORA Augsburg case-cohort study. PLoS One 6:e19852
-
(2011)
PLoS One
, vol.6
, pp. 19852
-
-
Herder, C.1
Baumert, J.2
Zierer, A.3
-
76
-
-
49649129068
-
Adipokines and incident type 2 diabetes in an Aboriginal Canadian Population. The Sandy Lake Health and Diabetes Project
-
18339973 10.2337/dc08-0036 1:CAS:528:DC%2BD1cXpt1WrsL8%3D
-
Ley SH, Harris SB, Connelly PW et al (2008) Adipokines and incident type 2 diabetes in an Aboriginal Canadian Population. The Sandy Lake Health and Diabetes Project. Diabetes Care 31:1410-1415
-
(2008)
Diabetes Care
, vol.31
, pp. 1410-1415
-
-
Ley, S.H.1
Harris, S.B.2
Connelly, P.W.3
-
77
-
-
70449381518
-
Use of multiple metabolic and genetic markers to improve the prediction of type 2 diabetes: The EPIC-Potsdam Study
-
19720844 10.2337/dc09-0197
-
Schulze MB, Weikert C, Pischon T et al (2009) Use of multiple metabolic and genetic markers to improve the prediction of type 2 diabetes: the EPIC-Potsdam Study. Diabetes Care 32:2116-2119
-
(2009)
Diabetes Care
, vol.32
, pp. 2116-2119
-
-
Schulze, M.B.1
Weikert, C.2
Pischon, T.3
-
78
-
-
77956336714
-
Thirty-one novel biomarkers as predictors for clinically incident diabetes
-
20396381 10.1371/journal.pone.0010100
-
Salomaa V, Havulinna A, Saarela O et al (2010) Thirty-one novel biomarkers as predictors for clinically incident diabetes. PLoS One 5:e10100
-
(2010)
PLoS One
, vol.5
, pp. 10100
-
-
Salomaa, V.1
Havulinna, A.2
Saarela, O.3
-
79
-
-
77957666215
-
The lack of utility of circulating biomarkers of inflammation and endothelial dysfunction for type 2 diabetes risk prediction among postmenopausal women. The Women's Health Initiative Observational Study
-
20876407
-
Chao C, Song Y, Cook N et al (2010) The lack of utility of circulating biomarkers of inflammation and endothelial dysfunction for type 2 diabetes risk prediction among postmenopausal women. The Women's Health Initiative Observational Study. Arch Intern Med 170:1557-1565
-
(2010)
Arch Intern Med
, vol.170
, pp. 1557-1565
-
-
Chao, C.1
Song, Y.2
Cook, N.3
-
80
-
-
83455258052
-
Validation of a multi-marker model for the prediction of incident type 2 diabetes mellitus: Combined results of the Inter99 and Botnia studies
-
22058089 10.1177/1479164111424762
-
Lyssenko V, Jorgensen T, Gerwien RW et al (2012) Validation of a multi-marker model for the prediction of incident type 2 diabetes mellitus: combined results of the Inter99 and Botnia studies. Diab Vasc Dis Res 9:59-67
-
(2012)
Diab Vasc Dis Res
, vol.9
, pp. 59-67
-
-
Lyssenko, V.1
Jorgensen, T.2
Gerwien, R.W.3
-
81
-
-
84885433330
-
Association between protein signals and type 2 diabetes incidence
-
10.1007/s00592-012-0376-3 22310914
-
Jensen TM, Witte DR, Pieragostino D et al (2013) Association between protein signals and type 2 diabetes incidence. Acta Diabetol. doi: 10.1007/s00592-012-0376-3
-
(2013)
Acta Diabetol
-
-
Jensen, T.M.1
Witte, D.R.2
Pieragostino, D.3
-
82
-
-
70350560562
-
Metabolomics applied to diabetes research: Moving from information to knowledge
-
19875619 10.2337/db09-0580 1:CAS:528:DC%2BD1MXhsVChtrbF
-
Bain JR, Stevens RD, Wenner BR, Ilkayeva O, Muoio DM, Newgard CB (2009) Metabolomics applied to diabetes research: moving from information to knowledge. Diabetes 58:2429-2443
-
(2009)
Diabetes
, vol.58
, pp. 2429-2443
-
-
Bain, J.R.1
Stevens, R.D.2
Wenner, B.R.3
Ilkayeva, O.4
Muoio, D.M.5
Newgard, C.B.6
-
83
-
-
78649735772
-
Metabolic footprint of diabetes: A multiplatform metabolomics study in an epidemiological setting
-
10.1371/journal.pone.0013953
-
Suhre K, Meisinger C, Döring A et al (2011) Metabolic footprint of diabetes: a multiplatform metabolomics study in an epidemiological setting. PLoS One 5:e13953
-
(2011)
PLoS One
, vol.5
, pp. 13953
-
-
Suhre, K.1
Meisinger, C.2
Döring, A.3
-
84
-
-
79953737332
-
Metabolite profiles and the risk of developing diabetes
-
21423183 10.1038/nm.2307
-
Wang TJ, Larson MG, Vasan RS et al (2011) Metabolite profiles and the risk of developing diabetes. Nat Med 17:448-453
-
(2011)
Nat Med
, vol.17
, pp. 448-453
-
-
Wang, T.J.1
Larson, M.G.2
Vasan, R.S.3
-
85
-
-
79953329970
-
Lipid profiling identifies a triacylglycerol signature of insulin resistance and improves diabetes prediction in humans
-
21403394 10.1172/JCI44442 1:CAS:528:DC%2BC3MXksFahs78%3D
-
Rhee EP, Chang S, Larson MG et al (2011) Lipid profiling identifies a triacylglycerol signature of insulin resistance and improves diabetes prediction in humans. J Clin Invest 121:1402-1411
-
(2011)
J Clin Invest
, vol.121
, pp. 1402-1411
-
-
Rhee, E.P.1
Chang, S.2
Larson, M.G.3
-
86
-
-
84863205594
-
Hyperglycemia and a common variant of GCKR are associated with the levels of eight amino acids in 9,369 Finnish men
-
22553379 10.2337/db11-1378
-
Stančáková A, Civelek M, Saleem NK et al (2012) Hyperglycemia and a common variant of GCKR are associated with the levels of eight amino acids in 9,369 Finnish men. Diabetes 61:1895-1902
-
(2012)
Diabetes
, vol.61
, pp. 1895-1902
-
-
Stančáková, A.1
Civelek, M.2
Saleem, N.K.3
-
87
-
-
84864386138
-
Circulating metabolite predictors of glycemia in middle-aged men and women
-
22563043 10.2337/dc11-1838
-
Würtz P, Tiainen M, Mäkinen VP et al (2012) Circulating metabolite predictors of glycemia in middle-aged men and women. Diabetes Care 35:1749-1756
-
(2012)
Diabetes Care
, vol.35
, pp. 1749-1756
-
-
Würtz, P.1
Tiainen, M.2
Mäkinen, V.P.3
-
88
-
-
84867012919
-
Novel biomarkers for pre-diabetes identified by metabolomics
-
23010998
-
Wang-Sattler R, Yu Z, Herder C et al (2012) Novel biomarkers for pre-diabetes identified by metabolomics. Mol Syst Biol 8:615
-
(2012)
Mol Syst Biol
, vol.8
, pp. 615
-
-
Wang-Sattler, R.1
Yu, Z.2
Herder, C.3
-
89
-
-
84873042769
-
Identification of serum metabolites associated with risk of type 2 diabetes using a targeted metabolomic approach
-
23043162 10.2337/db12-0495 1:CAS:528:DC%2BC3sXhvFOnsLg%3D
-
Floegel A, Stefan N, Yu Z et al (2013) Identification of serum metabolites associated with risk of type 2 diabetes using a targeted metabolomic approach. Diabetes 62:639-648
-
(2013)
Diabetes
, vol.62
, pp. 639-648
-
-
Floegel, A.1
Stefan, N.2
Yu, Z.3
-
90
-
-
84874412069
-
Branched-chain and aromatic amino acids are predictors of insulin resistance in young adults
-
23129134 10.2337/dc12-0895
-
Würtz P, Soininen P, Kangas AJ et al (2013) Branched-chain and aromatic amino acids are predictors of insulin resistance in young adults. Diabetes Care 36:648-655
-
(2013)
Diabetes Care
, vol.36
, pp. 648-655
-
-
Würtz, P.1
Soininen, P.2
Kangas, A.J.3
-
91
-
-
84876575039
-
Early metabolic markers of the development of dysglycemia and type 2 diabetes and their physiological significance
-
23160532 10.2337/db12-0707 1:CAS:528:DC%2BC3sXhtVSnurfL
-
Ferrannini E, Natali A, Camastra S et al (2013) Early metabolic markers of the development of dysglycemia and type 2 diabetes and their physiological significance. Diabetes 62:1730-1737
-
(2013)
Diabetes
, vol.62
, pp. 1730-1737
-
-
Ferrannini, E.1
Natali, A.2
Camastra, S.3
-
92
-
-
77951831569
-
Accelerated increase in serum interleukin-1 receptor antagonist starts 6 years before diagnosis of type 2 diabetes: Whitehall II prospective cohort study
-
20185814 10.2337/db09-1199 1:CAS:528:DC%2BC3cXmtFegtr8%3D
-
Carstensen M, Herder C, Kivimäki M et al (2010) Accelerated increase in serum interleukin-1 receptor antagonist starts 6 years before diagnosis of type 2 diabetes: Whitehall II prospective cohort study. Diabetes 59:1222-1227
-
(2010)
Diabetes
, vol.59
, pp. 1222-1227
-
-
Carstensen, M.1
Herder, C.2
Kivimäki, M.3
-
93
-
-
84862082025
-
1c and fasting plasma glucose levels during the development of type 2 diabetes: The Toranomon Hospital Health Management Center Study 7 (TOPICS 7)
-
22456865 10.2337/dc11-1793 1:CAS:528:DC%2BC38XptVahsbs%3D
-
1c and fasting plasma glucose levels during the development of type 2 diabetes: the Toranomon Hospital Health Management Center Study 7 (TOPICS 7). Diabetes Care 35:1050-1052
-
(2012)
Diabetes Care
, vol.35
, pp. 1050-1052
-
-
Heianza, Y.1
Arase, Y.2
Fujihara, K.3
-
94
-
-
67649111182
-
Trajectories of glycaemia, insulin sensitivity, and insulin secretion before diagnosis of type 2 diabetes: An analysis from the Whitehall II study
-
19515410 10.1016/S0140-6736(09)60619-X
-
Tabák AG, Jokela M, Akbaraly TN, Brunner EJ, Kivimäki M, Witte DR (2009) Trajectories of glycaemia, insulin sensitivity, and insulin secretion before diagnosis of type 2 diabetes: an analysis from the Whitehall II study. Lancet 373:2215-2221
-
(2009)
Lancet
, vol.373
, pp. 2215-2221
-
-
Tabák, A.G.1
Jokela, M.2
Akbaraly, T.N.3
Brunner, E.J.4
Kivimäki, M.5
Witte, D.R.6
-
95
-
-
84869810917
-
Adiponectin trajectories before type 2 diabetes diagnosis: Whitehall II study
-
22933430 10.2337/dc11-2263
-
Tabák AG, Carstensen M, Witte DR et al (2012) Adiponectin trajectories before type 2 diabetes diagnosis: Whitehall II study. Diabetes Care 35:2540-2547
-
(2012)
Diabetes Care
, vol.35
, pp. 2540-2547
-
-
Tabák, A.G.1
Carstensen, M.2
Witte, D.R.3
-
96
-
-
34047098736
-
Serial measurements and conversion to type 2 diabetes in the West of Scotland Coronary Prevention Study: Specific elevations in alanine aminotransferase and triglycerides suggest hepatic fat accumulation as a potential contributing factor
-
17395744 10.2337/db06-1256 1:CAS:528:DC%2BD2sXktFChtbs%3D
-
Sattar N, McConnachie A, Ford I et al (2007) Serial measurements and conversion to type 2 diabetes in the West of Scotland Coronary Prevention Study: specific elevations in alanine aminotransferase and triglycerides suggest hepatic fat accumulation as a potential contributing factor. Diabetes 56:984-991
-
(2007)
Diabetes
, vol.56
, pp. 984-991
-
-
Sattar, N.1
McConnachie, A.2
Ford, I.3
-
97
-
-
79251545943
-
Assessing risk factors as potential screening tests: A simple assessment tool
-
20975013
-
Wald NJ, Morris JK (2011) Assessing risk factors as potential screening tests: a simple assessment tool. Arch Intern Med 171:286-291
-
(2011)
Arch Intern Med
, vol.171
, pp. 286-291
-
-
Wald, N.J.1
Morris, J.K.2
-
98
-
-
43049099344
-
Novel biochemical risk factors for type 2 diabetes: Pathogenic insights or prediction possibilities?
-
18392804 10.1007/s00125-008-0954-7 1:CAS:528:DC%2BD1cXlt1Crsbw%3D
-
Sattar N, Wannamethee SG, Forouhi NG (2008) Novel biochemical risk factors for type 2 diabetes: pathogenic insights or prediction possibilities? Diabetologia 51:926-940
-
(2008)
Diabetologia
, vol.51
, pp. 926-940
-
-
Sattar, N.1
Wannamethee, S.G.2
Forouhi, N.G.3
-
99
-
-
84879972473
-
Are diabetes risk scores useful for the prediction of cardiovascular diseases? Assessment of seven diabetes risk scores in the KORA S4/F4 cohort study
-
23659777 10.1016/j.jdiacomp.2013.03.004
-
Kowall B, Rathmann W, Bongaerts B et al (2013) Are diabetes risk scores useful for the prediction of cardiovascular diseases? Assessment of seven diabetes risk scores in the KORA S4/F4 cohort study. J Diabetes Complicat 27:340-345
-
(2013)
J Diabetes Complicat
, vol.27
, pp. 340-345
-
-
Kowall, B.1
Rathmann, W.2
Bongaerts, B.3
-
100
-
-
66349111734
-
Criteria for evaluation of novel markers of cardiovascular risk. A scientific statement from the American Heart Association
-
19364974 10.1161/CIRCULATIONAHA.109.192278
-
Hlatky MA, Greenland P, Arnett DK et al (2009) Criteria for evaluation of novel markers of cardiovascular risk. A scientific statement from the American Heart Association. Circulation 119:2408-2416
-
(2009)
Circulation
, vol.119
, pp. 2408-2416
-
-
Hlatky, M.A.1
Greenland, P.2
Arnett, D.K.3
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