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Items: 1 to 20 of 189

1.

CDKAL1 and HHEX are associated with type 2 diabetes-related traits among Yup'ik people.

Klimentidis YC, Lemas DJ, Wiener HH, O'Brien DM, Havel PJ, Stanhope KL, Hopkins SE, Tiwari HK, Boyer BB.

J Diabetes. 2014 May;6(3):251-9. doi: 10.1111/1753-0407.12093. Epub 2013 Oct 29.

2.

Common variants in CDKAL1, CDKN2A/B, IGF2BP2, SLC30A8, and HHEX/IDE genes are associated with type 2 diabetes and impaired fasting glucose in a Chinese Han population.

Wu Y, Li H, Loos RJ, Yu Z, Ye X, Chen L, Pan A, Hu FB, Lin X.

Diabetes. 2008 Oct;57(10):2834-42. doi: 10.2337/db08-0047. Epub 2008 Jul 15.

3.

Association analysis of variation in/near FTO, CDKAL1, SLC30A8, HHEX, EXT2, IGF2BP2, LOC387761, and CDKN2B with type 2 diabetes and related quantitative traits in Pima Indians.

Rong R, Hanson RL, Ortiz D, Wiedrich C, Kobes S, Knowler WC, Bogardus C, Baier LJ.

Diabetes. 2009 Feb;58(2):478-88. doi: 10.2337/db08-0877. Epub 2008 Nov 13.

4.

Association between polymorphisms in SLC30A8, HHEX, CDKN2A/B, IGF2BP2, FTO, WFS1, CDKAL1, KCNQ1 and type 2 diabetes in the Korean population.

Lee YH, Kang ES, Kim SH, Han SJ, Kim CH, Kim HJ, Ahn CW, Cha BS, Nam M, Nam CM, Lee HC.

J Hum Genet. 2008;53(11-12):991-8. doi: 10.1007/s10038-008-0341-8. Epub 2008 Nov 11.

PMID:
18991055
5.

HHEX-IDE polymorphism is associated with low birth weight in offspring with a family history of type 1 diabetes.

Winkler C, Illig T, Koczwara K, Bonifacio E, Ziegler AG.

J Clin Endocrinol Metab. 2009 Oct;94(10):4113-5. doi: 10.1210/jc.2009-0970. Epub 2009 Jul 21.

PMID:
19622614
6.

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, Lam VK, Lee HM, Jiang G, Lau ES, Kong AP, Fan X, Woo JL, Tsui SK, Ng MC, So WY, Chan JC, Ma RC.

PLoS One. 2013 Dec 20;8(12):e83093. doi: 10.1371/journal.pone.0083093. eCollection 2013.

7.

Variants of the PPARG, IGF2BP2, CDKAL1, HHEX, and TCF7L2 genes confer risk of type 2 diabetes independently of BMI in the German KORA studies.

Herder C, Rathmann W, Strassburger K, Finner H, Grallert H, Huth C, Meisinger C, Gieger C, Martin S, Giani G, Scherbaum WA, Wichmann HE, Illig T.

Horm Metab Res. 2008 Oct;40(10):722-6. doi: 10.1055/s-2008-1078730. Epub 2008 Jul 2.

PMID:
18597214
8.

Contribution of 24 obesity-associated genetic variants to insulin resistance, pancreatic beta-cell function and type 2 diabetes risk in the French population.

Robiou-du-Pont S, Bonnefond A, Yengo L, Vaillant E, Lobbens S, Durand E, Weill J, Lantieri O, Balkau B, Charpentier G, Marre M, Froguel P, Meyre D.

Int J Obes (Lond). 2013 Jul;37(7):980-5. doi: 10.1038/ijo.2012.175. Epub 2012 Oct 23.

PMID:
23090577
9.

Implication of genetic variants near TCF7L2, SLC30A8, HHEX, CDKAL1, CDKN2A/B, IGF2BP2, and FTO in type 2 diabetes and obesity in 6,719 Asians.

Ng MC, Park KS, Oh B, Tam CH, Cho YM, Shin HD, Lam VK, Ma RC, So WY, Cho YS, Kim HL, Lee HK, Chan JC, Cho NH.

Diabetes. 2008 Aug;57(8):2226-33. doi: 10.2337/db07-1583. Epub 2008 May 9.

10.

Replication study of novel risk variants in six genes with type 2 diabetes and related quantitative traits in the Han Chinese lean individuals.

Bao XY, Peng B, Yang MS.

Mol Biol Rep. 2012 Mar;39(3):2447-54. doi: 10.1007/s11033-011-0995-8. Epub 2011 Jun 5.

PMID:
21643948
11.

Extension of type 2 diabetes genome-wide association scan results in the diabetes prevention program.

Moore AF, Jablonski KA, McAteer JB, Saxena R, Pollin TI, Franks PW, Hanson RL, Shuldiner AR, Knowler WC, Altshuler D, Florez JC; Diabetes Prevention Program Research Group..

Diabetes. 2008 Sep;57(9):2503-10. doi: 10.2337/db08-0284. Epub 2008 Jun 10.

12.

Linkage and association analysis of obesity traits reveals novel loci and interactions with dietary n-3 fatty acids in an Alaska Native (Yup'ik) population.

Vaughan LK, Wiener HW, Aslibekyan S, Allison DB, Havel PJ, Stanhope KL, O'Brien DM, Hopkins SE, Lemas DJ, Boyer BB, Tiwari HK.

Metabolism. 2015 Jun;64(6):689-97. doi: 10.1016/j.metabol.2015.02.008. Epub 2015 Mar 5.

13.

Genetic risk score constructed using 14 susceptibility alleles for type 2 diabetes is associated with the early onset of diabetes and may predict the future requirement of insulin injections among Japanese individuals.

Iwata M, Maeda S, Kamura Y, Takano A, Kato H, Murakami S, Higuchi K, Takahashi A, Fujita H, Hara K, Kadowaki T, Tobe K.

Diabetes Care. 2012 Aug;35(8):1763-70. doi: 10.2337/dc11-2006. Epub 2012 Jun 11.

14.

Replication study of candidate genes associated with type 2 diabetes based on genome-wide screening.

Tabara Y, Osawa H, Kawamoto R, Onuma H, Shimizu I, Miki T, Kohara K, Makino H.

Diabetes. 2009 Feb;58(2):493-8. doi: 10.2337/db07-1785. Epub 2008 Nov 25.

15.

Positive Association Between Type 2 Diabetes Risk Alleles Near CDKAL1 and Reduced Birthweight in Chinese Han Individuals.

Sun XF, Xiao XH, Zhang ZX, Liu Y, Xu T, Zhu XL, Zhang Y, Wu XP, Li WH, Zhang HB, Yu M.

Chin Med J (Engl). 2015 Jul 20;128(14):1873-8. doi: 10.4103/0366-6999.160489.

16.

BMI at age 8 years is influenced by the type 2 diabetes susceptibility genes HHEX-IDE and CDKAL1.

Winkler C, Bonifacio E, Grallert H, Henneberger L, Illig T, Ziegler AG.

Diabetes. 2010 Aug;59(8):2063-7. doi: 10.2337/db10-0099. Epub 2010 May 11.

17.

Variations in the HHEX gene are associated with increased risk of type 2 diabetes in the Japanese population.

Horikoshi M, Hara K, Ito C, Shojima N, Nagai R, Ueki K, Froguel P, Kadowaki T.

Diabetologia. 2007 Dec;50(12):2461-6. Epub 2007 Oct 10.

PMID:
17928989
18.

Heterogeneity of genetic associations of CDKAL1 and HHEX with susceptibility of type 2 diabetes mellitus by gender.

Ryoo H, Woo J, Kim Y, Lee C.

Eur J Hum Genet. 2011 Jun;19(6):672-5. doi: 10.1038/ejhg.2011.6. Epub 2011 Feb 2.

19.

Investigation of type 2 diabetes risk alleles support CDKN2A/B, CDKAL1, and TCF7L2 as susceptibility genes in a Han Chinese cohort.

Wen J, Rönn T, Olsson A, Yang Z, Lu B, Du Y, Groop L, Ling C, Hu R.

PLoS One. 2010 Feb 10;5(2):e9153. doi: 10.1371/journal.pone.0009153.

20.

Sex, Adiposity, and Hypertension Status Modify the Inverse Effect of Marine Food Intake on Blood Pressure in Alaska Native (Yup'ik) People.

Beaulieu-Jones BR, O'Brien DM, Hopkins SE, Moore JH, Boyer BB, Gilbert-Diamond D.

J Nutr. 2015 May;145(5):931-8. doi: 10.3945/jn.114.209619. Epub 2015 Mar 18.

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