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Items: 1 to 20 of 463

1.

Integrating pathway analysis and genetics of gene expression for genome-wide association studies.

Zhong H, Yang X, Kaplan LM, Molony C, Schadt EE.

Am J Hum Genet. 2010 Apr 9;86(4):581-91. doi: 10.1016/j.ajhg.2010.02.020. Epub 2010 Mar 25.

2.

Liver and adipose expression associated SNPs are enriched for association to type 2 diabetes.

Zhong H, Beaulaurier J, Lum PY, Molony C, Yang X, Macneil DJ, Weingarth DT, Zhang B, Greenawalt D, Dobrin R, Hao K, Woo S, Fabre-Suver C, Qian S, Tota MR, Keller MP, Kendziorski CM, Yandell BS, Castro V, Attie AD, Kaplan LM, Schadt EE.

PLoS Genet. 2010 May 6;6(5):e1000932. doi: 10.1371/journal.pgen.1000932.

3.

Gene, pathway and network frameworks to identify epistatic interactions of single nucleotide polymorphisms derived from GWAS data.

Liu Y, Maxwell S, Feng T, Zhu X, Elston RC, Koyutürk M, Chance MR.

BMC Syst Biol. 2012;6 Suppl 3:S15. doi: 10.1186/1752-0509-6-S3-S15. Epub 2012 Dec 17.

4.
5.

Integrating pathway analysis and genetics of gene expression for genome-wide association study of basal cell carcinoma.

Zhang M, Liang L, Morar N, Dixon AL, Lathrop GM, Ding J, Moffatt MF, Cookson WO, Kraft P, Qureshi AA, Han J.

Hum Genet. 2012 Apr;131(4):615-23. doi: 10.1007/S00439-011-11047-8. Epub 2011 Oct 18.

6.

Genome-wide genetic analyses highlight mitogen-activated protein kinase (MAPK) signaling in the pathogenesis of endometriosis.

Uimari O, Rahmioglu N, Nyholt DR, Vincent K, Missmer SA, Becker C, Morris AP, Montgomery GW, Zondervan KT.

Hum Reprod. 2017 Apr 1;32(4):780-793. doi: 10.1093/humrep/dex024.

7.

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
8.

Using genome-wide pathway analysis to unravel the etiology of complex diseases.

Elbers CC, van Eijk KR, Franke L, Mulder F, van der Schouw YT, Wijmenga C, Onland-Moret NC.

Genet Epidemiol. 2009 Jul;33(5):419-31. doi: 10.1002/gepi.20395.

PMID:
19235186
9.

Integrating genetic association, genetics of gene expression, and single nucleotide polymorphism set analysis to identify susceptibility Loci for type 2 diabetes mellitus.

Greenawalt DM, Sieberts SK, Cornelis MC, Girman CJ, Zhong H, Yang X, Guinney J, Qi L, Hu FB.

Am J Epidemiol. 2012 Sep 1;176(5):423-30. doi: 10.1093/aje/kws123. Epub 2012 Aug 2.

10.

A Powerful Procedure for Pathway-Based Meta-analysis Using Summary Statistics Identifies 43 Pathways Associated with Type II Diabetes in European Populations.

Zhang H, Wheeler W, Hyland PL, Yang Y, Shi J, Chatterjee N, Yu K.

PLoS Genet. 2016 Jun 30;12(6):e1006122. doi: 10.1371/journal.pgen.1006122. eCollection 2016 Jun.

12.

Interrogating type 2 diabetes genome-wide association data using a biological pathway-based approach.

Perry JR, McCarthy MI, Hattersley AT, Zeggini E; Wellcome Trust Case Control Consortium, Weedon MN, Frayling TM.

Diabetes. 2009 Jun;58(6):1463-7. doi: 10.2337/db08-1378. Epub 2009 Feb 27.

13.

A new methodology to associate SNPs with human diseases according to their pathway related context.

Bakir-Gungor B, Sezerman OU.

PLoS One. 2011;6(10):e26277. doi: 10.1371/journal.pone.0026277. Epub 2011 Oct 25.

14.

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.

15.

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.

16.

Systems biology approach reveals genome to phenome correlation in type 2 diabetes.

Jain P, Vig S, Datta M, Jindel D, Mathur AK, Mathur SK, Sharma A.

PLoS One. 2013;8(1):e53522. doi: 10.1371/journal.pone.0053522. Epub 2013 Jan 7.

17.

Exploring the pathogenetic association between schizophrenia and type 2 diabetes mellitus diseases based on pathway analysis.

Liu Y, Li Z, Zhang M, Deng Y, Yi Z, Shi T.

BMC Med Genomics. 2013;6 Suppl 1:S17. doi: 10.1186/1755-8794-6-S1-S17. Epub 2013 Jan 23.

18.

Molecular mechanisms underlying variations in lung function: a systems genetics analysis.

Obeidat M, Hao K, Bossé Y, Nickle DC, Nie Y, Postma DS, Laviolette M, Sandford AJ, Daley DD, Hogg JC, Elliott WM, Fishbane N, Timens W, Hysi PG, Kaprio J, Wilson JF, Hui J, Rawal R, Schulz H, Stubbe B, Hayward C, Polasek O, Järvelin MR, Zhao JH, Jarvis D, Kähönen M, Franceschini N, North KE, Loth DW, Brusselle GG, Smith AV, Gudnason V, Bartz TM, Wilk JB, O'Connor GT, Cassano PA, Tang W, Wain LV, Soler Artigas M, Gharib SA, Strachan DP, Sin DD, Tobin MD, London SJ, Hall IP, Paré PD.

Lancet Respir Med. 2015 Oct;3(10):782-95. doi: 10.1016/S2213-2600(15)00380-X. Epub 2015 Sep 21. Erratum in: Lancet Respir Med. 2015 Dec;3(12):e44.

19.

Candidate pathway-based genome-wide association studies identify novel associations of genomic variants in the complement system associated with coronary artery disease.

Xu C, Yang Q, Xiong H, Wang L, Cai J, Wang F, Li S, Chen J, Wang C, Wang D, Xiong X, Wang P, Zhao Y, Wang X, Huang Y, Chen S, Yin D, Li X, Liu Y, Liu J, Wang J, Li H, Ke T, Ren X, Wu Y, Wu G, Wan J, Zhang R, Wu T, Wang J, Xia Y, Yang Y, Cheng X, Liao Y, Chen Q, Zhou Y, He Q, Tu X, Wang QK.

Circ Cardiovasc Genet. 2014 Dec;7(6):887-94. doi: 10.1161/CIRCGENETICS.114.000738. Epub 2014 Sep 23.

20.

Integration of disease-specific single nucleotide polymorphisms, expression quantitative trait loci and coexpression networks reveal novel candidate genes for type 2 diabetes.

Kang HP, Yang X, Chen R, Zhang B, Corona E, Schadt EE, Butte AJ.

Diabetologia. 2012 Aug;55(8):2205-13. doi: 10.1007/s00125-012-2568-3. Epub 2012 May 16.

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