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Items: 1 to 20 of 160

1.

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.

2.

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
3.

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, Bergmann MM, Al-Hasani H, Schleicher E, Fritsche A, Häring HU, Boeing H, Joost HG.

Diabetes Care. 2009 Nov;32(11):2116-9. doi: 10.2337/dc09-0197. Epub 2009 Aug 31.

4.

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, Pérusse L.

Ann Med. 2010 Apr;42(3):196-206. doi: 10.3109/07853890903559716.

PMID:
20384434
5.

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.

6.

Update of the German Diabetes Risk Score and external validation in the German MONICA/KORA study.

Mühlenbruch K, Ludwig T, Jeppesen C, Joost HG, Rathmann W, Meisinger C, Peters A, Boeing H, Thorand B, Schulze MB.

Diabetes Res Clin Pract. 2014 Jun;104(3):459-66. doi: 10.1016/j.diabres.2014.03.013. Epub 2014 Mar 28.

PMID:
24742930
7.

Clinical risk factors, DNA variants, and the development of type 2 diabetes.

Lyssenko V, Jonsson A, Almgren P, Pulizzi N, Isomaa B, Tuomi T, Berglund G, Altshuler D, Nilsson P, Groop L.

N Engl J Med. 2008 Nov 20;359(21):2220-32. doi: 10.1056/NEJMoa0801869.

8.

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.

9.

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.

10.

TCF7L2 variant genotypes and type 2 diabetes risk in Brazil: significant association, but not a significant tool for risk stratification in the general population.

Marquezine GF, Pereira AC, Sousa AG, Mill JG, Hueb WA, Krieger JE.

BMC Med Genet. 2008 Dec 4;9:106. doi: 10.1186/1471-2350-9-106.

11.

Genetic variation in the G-50T polymorphism of the cytochrome P450 epoxygenase CYP2J2 gene and the risk of younger onset type 2 diabetes among Chinese population: potential interaction with body mass index and family history.

Wang CP, Hung WC, Yu TH, Chiu CA, Lu LF, Chung FM, Hung CH, Shin SJ, Chen HJ, Lee YJ.

Exp Clin Endocrinol Diabetes. 2010 Jun;118(6):346-52. doi: 10.1055/s-0029-1243604. Epub 2010 Feb 5.

PMID:
20140850
12.

Risk prediction models for the development of diabetes in Mauritian Indians.

Gao WG, Qiao Q, Pitkäniemi J, Wild S, Magliano D, Shaw J, Söderberg S, Zimmet P, Chitson P, Knowlessur S, Alberti G, Tuomilehto J.

Diabet Med. 2009 Oct;26(10):996-1002. doi: 10.1111/j.1464-5491.2009.02810.x.

PMID:
19900231
13.

Likelihood ratio-based integrated personal risk assessment of type 2 diabetes.

Sato N, Htun NC, Daimon M, Tamiya G, Kato T, Kubota I, Ueno Y, Yamashita H, Fukao A, Kayama T, Muramatsu M.

Endocr J. 2014;61(10):967-88. Epub 2014 Jul 25.

14.

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.

15.

Predicting venous thrombosis in women using a combination of genetic markers and clinical risk factors.

Bruzelius M, Bottai M, Sabater-Lleal M, Strawbridge RJ, Bergendal A, Silveira A, Sundström A, Kieler H, Hamsten A, Odeberg J.

J Thromb Haemost. 2015 Feb;13(2):219-27. doi: 10.1111/jth.12808. Epub 2015 Jan 12.

16.

Immunological and cardiometabolic risk factors in the prediction of type 2 diabetes and coronary events: MONICA/KORA Augsburg case-cohort study.

Herder C, Baumert J, Zierer A, Roden M, Meisinger C, Karakas M, Chambless L, Rathmann W, Peters A, Koenig W, Thorand B.

PLoS One. 2011;6(6):e19852. doi: 10.1371/journal.pone.0019852. Epub 2011 Jun 6.

17.

Current genetic data do not improve the prediction of type 2 diabetes mellitus: the CoLaus study.

Schmid R, Vollenweider P, Bastardot F, Vaucher J, Waeber G, Marques-Vidal P.

J Clin Endocrinol Metab. 2012 Jul;97(7):E1338-41. doi: 10.1210/jc.2011-3412. Epub 2012 Apr 24.

PMID:
22535968
18.

Preliminary evidence of FABP2 A54T polymorphism associated with reduced risk of type 2 diabetes and obesity in women from a German cohort.

Fisher E, Li Y, Burwinkel B, Kühr V, Hoffmann K, Möhlig M, Spranger J, Pfeiffer A, Boeing H, Schrezenmeir J, Döring F.

Horm Metab Res. 2006 May;38(5):341-5.

PMID:
16718632
19.

Risk factors for type 2 diabetes in groups stratified according to metabolic syndrome: a 10-year follow-up of the Tromsø Study.

Joseph J, Svartberg J, Njølstad I, Schirmer H.

Eur J Epidemiol. 2011 Feb;26(2):117-24. doi: 10.1007/s10654-010-9540-7. Epub 2010 Dec 28.

20.

Association of environmental and genetic factors and gene-environment interactions with risk of developing rheumatoid arthritis.

Karlson EW, Ding B, Keenan BT, Liao K, Costenbader KH, Klareskog L, Alfredsson L, Chibnik LB.

Arthritis Care Res (Hoboken). 2013 Jul;65(7):1147-56. doi: 10.1002/acr.22005.

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