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Items: 1 to 20 of 108

1.

Metabolite traits and genetic risk provide complementary information for the prediction of future type 2 diabetes.

Walford GA, Porneala BC, Dauriz M, Vassy JL, Cheng S, Rhee EP, Wang TJ, Meigs JB, Gerszten RE, Florez JC.

Diabetes Care. 2014 Sep;37(9):2508-14. doi: 10.2337/dc14-0560. Epub 2014 Jun 19.

2.

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, Marmot MG, Brunner EJ, Kumari M, Kivimäki M, Humphries SE.

BMJ. 2010 Jan 14;340:b4838. doi: 10.1136/bmj.b4838.

3.

Type 2 Diabetes Genetic Variants and Risk of Diabetic Retinopathy.

Chong YH, Fan Q, Tham YC, Gan A, Tan SP, Tan G, Wang JJ, Mitchell P, Wong TY, Cheng CY.

Ophthalmology. 2017 Mar;124(3):336-342. doi: 10.1016/j.ophtha.2016.11.016. Epub 2016 Dec 27.

PMID:
28038984
4.

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, Iwata M, Maegawa H, Watada H, Hirose H, Tanaka Y, Tobe K, Kaku K, Kashiwagi A, Kawamori R, Maeda S.

J Clin Endocrinol Metab. 2013 Oct;98(10):E1667-73. doi: 10.1210/jc.2013-1642. Epub 2013 Aug 16.

PMID:
23956346
5.

Combined effects of 17 common genetic variants on type 2 diabetes risk in a Han Chinese population.

Qi Q, Li H, Wu Y, Liu C, Wu H, Yu Z, Qi L, Hu FB, Loos RJ, Lin X.

Diabetologia. 2010 Oct;53(10):2163-6. doi: 10.1007/s00125-010-1826-5. Epub 2010 Jun 17.

PMID:
20556352
6.

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, Rocheleau G, Eury E, Lantieri O, Marre M, Balkau B, Bonnefond A, Froguel P.

Diabetologia. 2014 Aug;57(8):1601-10. doi: 10.1007/s00125-014-3277-x. Epub 2014 Jun 4.

PMID:
24893864
7.

A Type 1 Diabetes Genetic Risk Score Can Aid Discrimination Between Type 1 and Type 2 Diabetes in Young Adults.

Oram RA, Patel K, Hill A, Shields B, McDonald TJ, Jones A, Hattersley AT, Weedon MN.

Diabetes Care. 2016 Mar;39(3):337-44. doi: 10.2337/dc15-1111. Epub 2015 Nov 17.

8.

Evaluating the discriminative power of multi-trait genetic risk scores for type 2 diabetes in a northern Swedish population.

Fontaine-Bisson B, Renström F, Rolandsson O; MAGIC, Payne F, Hallmans G, Barroso I, Franks PW.

Diabetologia. 2010 Oct;53(10):2155-62. doi: 10.1007/s00125-010-1792-y. Epub 2010 Jun 23.

9.

Predicting stroke through genetic risk functions: the CHARGE Risk Score Project.

Ibrahim-Verbaas CA, Fornage M, Bis JC, Choi SH, Psaty BM, Meigs JB, Rao M, Nalls M, Fontes JD, O'Donnell CJ, Kathiresan S, Ehret GB, Fox CS, Malik R, Dichgans M, Schmidt H, Lahti J, Heckbert SR, Lumley T, Rice K, Rotter JI, Taylor KD, Folsom AR, Boerwinkle E, Rosamond WD, Shahar E, Gottesman RF, Koudstaal PJ, Amin N, Wieberdink RG, Dehghan A, Hofman A, Uitterlinden AG, Destefano AL, Debette S, Xue L, Beiser A, Wolf PA, Decarli C, Ikram MA, Seshadri S, Mosley TH Jr, Longstreth WT Jr, van Duijn CM, Launer LJ.

Stroke. 2014 Feb;45(2):403-12. doi: 10.1161/STROKEAHA.113.003044. Epub 2014 Jan 16.

10.

An explained variance-based genetic risk score associated with gestational diabetes antecedent and with progression to pre-diabetes and type 2 diabetes: a cohort study.

Cormier H, Vigneault J, Garneau V, Tchernof A, Vohl MC, Weisnagel SJ, Robitaille J.

BJOG. 2015 Feb;122(3):411-9. doi: 10.1111/1471-0528.12937. Epub 2014 Jul 18.

11.

A genetic risk score based on direct associations with coronary heart disease improves coronary heart disease risk prediction in the Atherosclerosis Risk in Communities (ARIC), but not in the Rotterdam and Framingham Offspring, Studies.

Brautbar A, Pompeii LA, Dehghan A, Ngwa JS, Nambi V, Virani SS, Rivadeneira F, Uitterlinden AG, Hofman A, Witteman JC, Pencina MJ, Folsom AR, Cupples LA, Ballantyne CM, Boerwinkle E.

Atherosclerosis. 2012 Aug;223(2):421-6. doi: 10.1016/j.atherosclerosis.2012.05.035. Epub 2012 Jun 12.

12.

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, Fox CS, Manning AK, Grant RW, Dupuis J, Florez JC, D'Agostino RB Sr, Cupples LA, Meigs JB; MAGIC Investigators; DIAGRAM+ Investigators.

Diabetes Care. 2011 Jan;34(1):121-5. doi: 10.2337/dc10-1265. Epub 2010 Oct 1.

13.

Multiple gene polymorphisms can improve prediction of nonvertebral fracture in postmenopausal women.

Lee SH, Lee SW, Ahn SH, Kim T, Lim KH, Kim BJ, Cho EH, Kim SW, Kim TH, Kim GS, Kim SY, Koh JM, Kang C.

J Bone Miner Res. 2013 Oct;28(10):2156-64. doi: 10.1002/jbmr.1955.

14.

The value of genetic information for diabetes risk prediction - differences according to sex, age, family history and obesity.

Mühlenbruch K, Jeppesen C, Joost HG, Boeing H, Schulze MB.

PLoS One. 2013 May 20;8(5):e64307. doi: 10.1371/journal.pone.0064307. Print 2013. Erratum in: PLoS One. 2013;8(9). doi:10.1371/annotation/65bd3a11-b821-4f10-88d2-29b69a730f21.

15.

A genetic risk score combining 32 SNPs is associated with body mass index and improves obesity prediction in people with major depressive disorder.

Hung CF, Breen G, Czamara D, Corre T, Wolf C, Kloiber S, Bergmann S, Craddock N, Gill M, Holsboer F, Jones L, Jones I, Korszun A, Kutalik Z, Lucae S, Maier W, Mors O, Owen MJ, Rice J, Rietschel M, Uher R, Vollenweider P, Waeber G, Craig IW, Farmer AE, Lewis CM, Müller-Myhsok B, Preisig M, McGuffin P, Rivera M.

BMC Med. 2015 Apr 17;13:86. doi: 10.1186/s12916-015-0334-3.

16.

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, Kraft P, Manson J, Cai T, Hunter DJ, Hu FB.

Ann Intern Med. 2009 Apr 21;150(8):541-50.

17.

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, Sandeep MN, Bhaskar S, Kulkarni SR, Aruna M, Joglekar CV, Priyadharshini S, Maheshwari N, Yajnik CS, Chandak GR.

Diabet Med. 2012 Jan;29(1):121-7. doi: 10.1111/j.1464-5491.2011.03438.x.

PMID:
21913964
18.

Incremental predictive value of 152 single nucleotide polymorphisms in the 10-year risk prediction of incident coronary heart disease: the Rotterdam Study.

de Vries PS, Kavousi M, Ligthart S, Uitterlinden AG, Hofman A, Franco OH, Dehghan A.

Int J Epidemiol. 2015 Apr;44(2):682-8. doi: 10.1093/ije/dyv070. Epub 2015 May 6.

PMID:
25953786
19.

Genetic predisposition, Western dietary pattern, and the risk of type 2 diabetes in men.

Qi L, Cornelis MC, Zhang C, van Dam RM, Hu FB.

Am J Clin Nutr. 2009 May;89(5):1453-8. doi: 10.3945/ajcn.2008.27249. Epub 2009 Mar 11.

20.

Genotype score in addition to common risk factors for prediction of type 2 diabetes.

Meigs JB, Shrader P, Sullivan LM, McAteer JB, Fox CS, Dupuis J, Manning AK, Florez JC, Wilson PW, D'Agostino RB Sr, Cupples LA.

N Engl J Med. 2008 Nov 20;359(21):2208-19. doi: 10.1056/NEJMoa0804742. Erratum in: N Engl J Med. 2009 Feb 5;360(6):648.

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