1 |
Willi C, Bodenmann P, Ghali WA, Faris PD, Cornuz J. Active smoking and the risk of type 2 diabetes: a systematic review and meta-analysis. JAMA 2007;298:2654-2664.
DOI
|
2 |
Stumvoll M, Tschritter O, Fritsche A, Staiger H, Renn W, Weisser M, et al. Association of the T-G polymorphism in adiponectin (exon 2) with obesity and insulin sensitivity: interaction with family history of type 2 diabetes. Diabetes 2002;51:37-41.
DOI
|
3 |
Ali O. Genetics of type 2 diabetes. World J Diabetes 2013;4:114-123.
DOI
|
4 |
Kaprio J, Tuomilehto J, Koskenvuo M, Romanov K, Reunanen A, Eriksson J, et al. Concordance for type 1 (insulin-dependent) and type 2 (non-insulin-dependent) diabetes mellitus in a population-based cohort of twins in Finland. Diabetologia 1992;35:1060-1067.
DOI
|
5 |
Wray NR, Yang J, Hayes BJ, Price AL, Goddard ME, Visscher PM. Pitfalls of predicting complex traits from SNPs. Nat Rev Genet 2013;14:507-515.
DOI
|
6 |
Buniello A, MacArthur JA, Cerezo M, Harris LW, Hayhurst J, Malangone C, et al. The NHGRI-EBI GWAS Catalog of published genome-wide association studies, targeted arrays and summary statistics 2019. Nucleic Acids Res 2019;47:D1005-D1012.
DOI
|
7 |
Marin-Penalver JJ, Martin-Timon I, Sevillano-Collantes C, Del Canizo-Gomez FJ. Update on the treatment of type 2 diabetes mellitus. World J Diabetes 2016;7:354-395.
DOI
|
8 |
Xue A, Wu Y, Zhu Z, Zhang F, Kemper KE, Zheng Z, et al. Genome-wide association analyses identify 143 risk variants and putative regulatory mechanisms for type 2 diabetes. Nat Commun 2018;9:2941.
DOI
|
9 |
Ripley B. MASS: support functions and datasets for Venables and Ripley's MASS. R package version 7.3-29. The Comprehensive R Archive Network, 2011.
|
10 |
Ho DE, Imai K, King G, Stuart EA. MatchIt: nonparametric preprocessing for parametric causal inference. J Stat Softw 2011;42:1-28.
|
11 |
Friedman J, Hastie T, Tibshirani R. glmnet: Lasso and elastic-net regularized generalized linear models. R package version 1. The Comprehensive R Archive Network, 2009.
|
12 |
Staiger H, Machicao F, Fritsche A, Haring HU. Pathomechanisms of type 2 diabetes genes. Endocr Rev 2009;30:557-585.
DOI
|
13 |
Spiel C, Lapka D, Gradinger P, Zodlhofer EM, Reimann R, Schober B, et al. A Euclidean distance-based matching procedure for nonrandomized comparison studies. Eur Psychol 2008;13:180-187.
DOI
|
14 |
Johnstone IM, Titterington DM. Statistical challenges of high-dimensional data. Philos Trans A Math Phys Eng Sci 2009;367:4237-4253.
|
15 |
Kooperberg C, LeBlanc M, Obenchain V. Risk prediction using genome-wide association studies. Genet Epidemiol 2010;34:643-652.
DOI
|
16 |
Bae S, Choi S, Kim SM, Park T. Prediction of quantitative traits using common genetic variants: application to body mass index. Genomics Inform 2016;14:149-159.
DOI
|
17 |
Bae S, Park T. Risk prediction of type 2 diabetes using common and rare variants. Int J Data Min Bioinform 2018;20:77-90.
DOI
|
18 |
Jostins L, Barrett JC. Genetic risk prediction in complex disease. Hum Mol Genet 2011;20:R182-R188.
DOI
|
19 |
Slatkin M. Linkage disequilibrium: understanding the evolutionary past and mapping the medical future. Nat Rev Genet 2008;9:477-485.
DOI
|
20 |
Wang WY, Barratt BJ, Clayton DG, Todd JA. Genome-wide association studies: theoretical and practical concerns. Nat Rev Genet 2005;6:109-118.
DOI
|
21 |
Manolio TA, Collins FS, Cox NJ, Goldstein DB, Hindorff LA, Hunter DJ, et al. Finding the missing heritability of complex diseases. Nature 2009;461:747-753.
DOI
|
22 |
Kempthorne O. An introduction to genetic statistics. Iowa: Iowa State University Press, 1969.
|
23 |
Florez JC. Leveraging genetics to advance type 2 diabetes prevention. PLoS Med 2016;13:e1002102.
DOI
|
24 |
Udler MS, McCarthy MI, Florez JC, Mahajan A. Genetic risk scores for diabetes diagnosis and precision medicine. Endocr Rev 2019;40:1500-1520.
DOI
|
25 |
Rosenbaum PR, Rubin DB. The central role of the propensity score in observational studies for causal effects. Biometrika 1983;70:41-55.
DOI
|
26 |
Hillier TA, Pedula KL. Characteristics of an adult population with newly diagnosed type 2 diabetes: the relation of obesity and age of onset. Diabetes Care 2001;24:1522-1527.
DOI
|
27 |
Lyssenko V, Laakso M. Genetic screening for the risk of type 2 diabetes: worthless or valuable? Diabetes Care 2013;36 Suppl 2:S120-S126.
DOI
|
28 |
Choi S, Bae S, Park T. Risk prediction using genome-wide association studies on type 2 diabetes. Genomics Inform 2016;14:138-148.
DOI
|
29 |
Golay A, Ybarra J. Link between obesity and type 2 diabetes. Best Pract Res Clin Endocrinol Metab 2005;19:649-663.
DOI
|
30 |
Ding EL, Song Y, Malik VS, Liu S. Sex differences of endogenous sex hormones and risk of type 2 diabetes: a systematic review and meta-analysis. JAMA 2006;295:1288-1299.
DOI
|