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Items: 1 to 20 of 64

1.
2.

Rationale and design of the LURIC study--a resource for functional genomics, pharmacogenomics and long-term prognosis of cardiovascular disease.

Winkelmann BR, März W, Boehm BO, Zotz R, Hager J, Hellstern P, Senges J; LURIC Study Group (LUdwigshafen RIsk and Cardiovascular Health).

Pharmacogenomics. 2001 Feb;2(1 Suppl 1):S1-73. Review.

PMID:
11258203
3.

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.

4.

Inflammation and coronary artery disease: insights from genetic studies.

McPherson R, Davies RW.

Can J Cardiol. 2012 Nov-Dec;28(6):662-6. doi: 10.1016/j.cjca.2012.05.014. Epub 2012 Aug 15. Review.

PMID:
22902153
5.

Genetics of Coronary Artery Disease.

McPherson R, Tybjaerg-Hansen A.

Circ Res. 2016 Feb 19;118(4):564-78. doi: 10.1161/CIRCRESAHA.115.306566. Review.

6.

Strategies beyond genome-wide association studies for atherosclerosis.

Maouche S, Schunkert H.

Arterioscler Thromb Vasc Biol. 2012 Feb;32(2):170-81. doi: 10.1161/ATVBAHA.111.232652. Review.

7.

9p21 DNA variants associated with coronary artery disease impair interferon-γ signalling response.

Harismendy O, Notani D, Song X, Rahim NG, Tanasa B, Heintzman N, Ren B, Fu XD, Topol EJ, Rosenfeld MG, Frazer KA.

Nature. 2011 Feb 10;470(7333):264-8. doi: 10.1038/nature09753.

8.

Genome-wide association study of coronary artery disease.

Ogawa N, Imai Y, Morita H, Nagai R.

Int J Hypertens. 2010 Sep 21;2010:790539. doi: 10.4061/2010/790539.

9.
10.

Apolipoprotein polymorphisms fail to define risk of coronary artery disease. Results of a prospective, angiographically controlled study.

Marshall HW, Morrison LC, Wu LL, Anderson JL, Corneli PS, Stauffer DM, Allen A, Karagounis LA, Ward RH.

Circulation. 1994 Feb;89(2):567-77.

PMID:
8313545
11.

Identification of shared genetic susceptibility locus for coronary artery disease, type 2 diabetes and obesity: a meta-analysis of genome-wide studies.

Wu C, Gong Y, Yuan J, Gong H, Zou Y, Ge J.

Cardiovasc Diabetol. 2012 Jun 14;11:68. doi: 10.1186/1475-2840-11-68. Review.

12.

Multifactor dimensionality reduction analysis of MTHFR, PAI-1, ACE, PON1, and eNOS gene polymorphisms in patients with early onset coronary artery disease.

Agirbasli M, Guney AI, Ozturhan HS, Agirbasli D, Ulucan K, Sevinc D, Kirac D, Ryckman KK, Williams SM.

Eur J Cardiovasc Prev Rehabil. 2011 Dec;18(6):803-9. doi: 10.1177/1741826711398806. Epub 2011 Feb 22.

PMID:
21450592
13.

A genome-wide association study reveals susceptibility loci for myocardial infarction/coronary artery disease in Saudi Arabs.

Wakil SM, Ram R, Muiya NP, Mehta M, Andres E, Mazhar N, Baz B, Hagos S, Alshahid M, Meyer BF, Morahan G, Dzimiri N.

Atherosclerosis. 2016 Feb;245:62-70. doi: 10.1016/j.atherosclerosis.2015.11.019. Epub 2015 Nov 22.

PMID:
26708285
14.

Systems Genetics Analysis of Genome-Wide Association Study Reveals Novel Associations Between Key Biological Processes and Coronary Artery Disease.

Ghosh S, Vivar J, Nelson CP, Willenborg C, Segrè AV, Mäkinen VP, Nikpay M, Erdmann J, Blankenberg S, O'Donnell C, März W, Laaksonen R, Stewart AF, Epstein SE, Shah SH, Granger CB, Hazen SL, Kathiresan S, Reilly MP, Yang X, Quertermous T, Samani NJ, Schunkert H, Assimes TL, McPherson R.

Arterioscler Thromb Vasc Biol. 2015 Jul;35(7):1712-22. doi: 10.1161/ATVBAHA.115.305513. Epub 2015 May 14.

15.

Coronary artery disease: an example case study.

Barrett JH.

Methods Mol Biol. 2011;713:215-25. doi: 10.1007/978-1-60327-416-6_16.

PMID:
21153622
16.

Personalized medicine in coronary artery disease: insights from genomic research.

Lee SH, Shin DJ, Jang Y.

Korean Circ J. 2009 Apr;39(4):129-37. doi: 10.4070/kcj.2009.39.4.129. Epub 2009 Apr 28.

17.

Identification of susceptibility modules for coronary artery disease using a genome wide integrated network analysis.

Duan S, Luo X, Dong C.

Gene. 2013 Dec 1;531(2):347-54. doi: 10.1016/j.gene.2013.08.059. Epub 2013 Aug 29.

PMID:
23994195
18.

Investigating the genetic determinants of cardiovascular disease using candidate genes and meta-analysis of association studies.

Casas JP, Cooper J, Miller GJ, Hingorani AD, Humphries SE.

Ann Hum Genet. 2006 Mar;70(Pt 2):145-69.

19.

Expression quantitative trait Loci acting across multiple tissues are enriched in inherited risk for coronary artery disease.

Foroughi Asl H, Talukdar HA, Kindt AS, Jain RK, Ermel R, Ruusalepp A, Nguyen KD, Dobrin R, Reilly DF, Schunkert H, Samani NJ, Braenne I, Erdmann J, Melander O, Qi J, Ivert T, Skogsberg J, Schadt EE, Michoel T, Björkegren JL; CARDIoGRAM Consortium.

Circ Cardiovasc Genet. 2015 Apr;8(2):305-15. doi: 10.1161/CIRCGENETICS.114.000640. Epub 2015 Jan 11.

20.

Genetic evaluation for coronary artery disease.

Scheuner MT.

Genet Med. 2003 Jul-Aug;5(4):269-85. Review.

PMID:
12865756

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