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Items: 1 to 20 of 115

1.

Use of diverse electronic medical record systems to identify genetic risk for type 2 diabetes within a genome-wide association study.

Kho AN, Hayes MG, Rasmussen-Torvik L, Pacheco JA, Thompson WK, Armstrong LL, Denny JC, Peissig PL, Miller AW, Wei WQ, Bielinski SJ, Chute CG, Leibson CL, Jarvik GP, Crosslin DR, Carlson CS, Newton KM, Wolf WA, Chisholm RL, Lowe WL.

J Am Med Inform Assoc. 2012 Mar-Apr;19(2):212-8. doi: 10.1136/amiajnl-2011-000439. Epub 2011 Nov 19.

2.

A highly specific algorithm for identifying asthma cases and controls for genome-wide association studies.

Pacheco JA, Avila PC, Thompson JA, Law M, Quraishi JA, Greiman AK, Just EM, Kho A.

AMIA Annu Symp Proc. 2009 Nov 14;2009:497-501.

3.

The eMERGE Network: a consortium of biorepositories linked to electronic medical records data for conducting genomic studies.

McCarty CA, Chisholm RL, Chute CG, Kullo IJ, Jarvik GP, Larson EB, Li R, Masys DR, Ritchie MD, Roden DM, Struewing JP, Wolf WA; eMERGE Team..

BMC Med Genomics. 2011 Jan 26;4:13. doi: 10.1186/1755-8794-4-13.

4.

Robust replication of genotype-phenotype associations across multiple diseases in an electronic medical record.

Ritchie MD, Denny JC, Crawford DC, Ramirez AH, Weiner JB, Pulley JM, Basford MA, Brown-Gentry K, Balser JR, Masys DR, Haines JL, Roden DM.

Am J Hum Genet. 2010 Apr 9;86(4):560-72. doi: 10.1016/j.ajhg.2010.03.003. Epub 2010 Apr 1. Erratum in: Am J Hum Genet. 2010 Aug 13;87(2):310.

5.

European genetic variants associated with type 2 diabetes in North African Arabs.

Cauchi S, Ezzidi I, El Achhab Y, Mtiraoui N, Chaieb L, Salah D, Nejjari C, Labrune Y, Yengo L, Beury D, Vaxillaire M, Mahjoub T, Chikri M, Froguel P.

Diabetes Metab. 2012 Oct;38(4):316-23. doi: 10.1016/j.diabet.2012.02.003. Epub 2012 Mar 29.

PMID:
22463974
6.

Evaluation of genome-wide association study-identified type 2 diabetes loci in African Americans.

Long J, Edwards T, Signorello LB, Cai Q, Zheng W, Shu XO, Blot WJ.

Am J Epidemiol. 2012 Dec 1;176(11):995-1001. doi: 10.1093/aje/kws176. Epub 2012 Nov 9.

7.

Translating genome wide association study results to associations among common diseases: in silico study with an electronic medical record.

Anand V, Rosenman MB, Downs SM.

Int J Med Inform. 2013 Sep;82(9):864-74. doi: 10.1016/j.ijmedinf.2013.05.003. Epub 2013 Jun 3.

PMID:
23743324
8.

Development of GMDR-GPU for gene-gene interaction analysis and its application to WTCCC GWAS data for type 2 diabetes.

Zhu Z, Tong X, Zhu Z, Liang M, Cui W, Su K, Li MD, Zhu J.

PLoS One. 2013 Apr 23;8(4):e61943. doi: 10.1371/journal.pone.0061943. Print 2013.

9.

Identification of susceptibility genes for complex diseases using pooling-based genome-wide association scans.

Bossé Y, Bacot F, Montpetit A, Rung J, Qu HQ, Engert JC, Polychronakos C, Hudson TJ, Froguel P, Sladek R, Desrosiers M.

Hum Genet. 2009 Apr;125(3):305-18. doi: 10.1007/s00439-009-0626-9. Epub 2009 Jan 29.

PMID:
19184112
10.

Genome-wide meta-analysis of genetic susceptible genes for Type 2 Diabetes.

Hale PJ, López-Yunez AM, Chen JY.

BMC Syst Biol. 2012;6 Suppl 3:S16. doi: 10.1186/1752-0509-6-S3-S16. Epub 2012 Dec 17.

11.

Joint effect of CENTD2 and KCNQ1 polymorphisms on the risk of type 2 diabetes mellitus among Chinese Han population.

Qian Y, Dong M, Lu F, Li H, Jin G, Hu Z, Shen C, Shen H.

Mol Cell Endocrinol. 2015 May 15;407:46-51. doi: 10.1016/j.mce.2015.02.026. Epub 2015 Mar 5.

PMID:
25749274
12.

Validation of type 2 diabetes risk variants identified by genome-wide association studies in Han Chinese population: a replication study and meta-analysis.

Chang YC, Liu PH, Yu YH, Kuo SS, Chang TJ, Jiang YD, Nong JY, Hwang JJ, Chuang LM.

PLoS One. 2014 Apr 15;9(4):e95045. doi: 10.1371/journal.pone.0095045. eCollection 2014.

13.

Joint effects of known type 2 diabetes susceptibility loci in genome-wide association study of Singapore Chinese: the Singapore Chinese health study.

Chen Z, Pereira MA, Seielstad M, Koh WP, Tai ES, Teo YY, Liu J, Hsu C, Wang R, Odegaard AO, Thyagarajan B, Koratkar R, Yuan JM, Gross MD, Stram DO.

PLoS One. 2014 Feb 10;9(2):e87762. doi: 10.1371/journal.pone.0087762. eCollection 2014.

14.

Association Analysis of Genetic Variants with Type 2 Diabetes in a Mongolian Population in China.

Bai H, Liu H, Suyalatu S, Guo X, Chu S, Chen Y, Lan T, Borjigin B, Orlov YL, Posukh OL, Yang X, Guilan G, Osipova LP, Wu Q, Narisu N.

J Diabetes Res. 2015;2015:613236. doi: 10.1155/2015/613236. Epub 2015 Jul 28.

15.

Variants near FOXE1 are associated with hypothyroidism and other thyroid conditions: using electronic medical records for genome- and phenome-wide studies.

Denny JC, Crawford DC, Ritchie MD, Bielinski SJ, Basford MA, Bradford Y, Chai HS, Bastarache L, Zuvich R, Peissig P, Carrell D, Ramirez AH, Pathak J, Wilke RA, Rasmussen L, Wang X, Pacheco JA, Kho AN, Hayes MG, Weston N, Matsumoto M, Kopp PA, Newton KM, Jarvik GP, Li R, Manolio TA, Kullo IJ, Chute CG, Chisholm RL, Larson EB, McCarty CA, Masys DR, Roden DM, de Andrade M.

Am J Hum Genet. 2011 Oct 7;89(4):529-42. doi: 10.1016/j.ajhg.2011.09.008.

16.

Shared genetic etiology underlying Alzheimer's disease and type 2 diabetes.

Hao K, Di Narzo AF, Ho L, Luo W, Li S, Chen R, Li T, Dubner L, Pasinetti GM.

Mol Aspects Med. 2015 Jun-Oct;43-44:66-76. doi: 10.1016/j.mam.2015.06.006. Epub 2015 Jun 23. Review.

PMID:
26116273
17.

TCF7L2 is reproducibly associated with type 2 diabetes in various ethnic groups: a global meta-analysis.

Cauchi S, El Achhab Y, Choquet H, Dina C, Krempler F, Weitgasser R, Nejjari C, Patsch W, Chikri M, Meyre D, Froguel P.

J Mol Med (Berl). 2007 Jul;85(7):777-82. Epub 2007 May 3.

PMID:
17476472
18.

A collaborative approach to developing an electronic health record phenotyping algorithm for drug-induced liver injury.

Overby CL, Pathak J, Gottesman O, Haerian K, Perotte A, Murphy S, Bruce K, Johnson S, Talwalkar J, Shen Y, Ellis S, Kullo I, Chute C, Friedman C, Bottinger E, Hripcsak G, Weng C.

J Am Med Inform Assoc. 2013 Dec;20(e2):e243-52. doi: 10.1136/amiajnl-2013-001930. Epub 2013 Jul 9.

19.

Loci of TCF7L2, HHEX and IDE on chromosome 10q and the susceptibility of their genetic polymorphisms to type 2 diabetes.

Nordman S, Ostenson CG, Efendic S, Gu HF.

Exp Clin Endocrinol Diabetes. 2009 Apr;117(4):186-90. doi: 10.1055/s-0028-1100419. Epub 2008 Dec 3.

PMID:
19053027
20.

Leveraging informatics for genetic studies: use of the electronic medical record to enable a genome-wide association study of peripheral arterial disease.

Kullo IJ, Fan J, Pathak J, Savova GK, Ali Z, Chute CG.

J Am Med Inform Assoc. 2010 Sep-Oct;17(5):568-74. doi: 10.1136/jamia.2010.004366.

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