A genome-wide association study identifies PLCL2 and AP3D1-DOT1L-SF3A2 as new susceptibility loci for myocardial infarction in Japanese-Reference-Cited by-同舟云学术

A genome-wide association study identifies PLCL2 and AP3D1-DOT1L-SF3A2 as new susceptibility loci for myocardial infarction in Japanese

Published:2014-06-11 Issue:3 Volume:23 Page:374-380
ISSN:1018-4813
Container-title:European Journal of Human Genetics
language:en
Short-container-title:Eur J Hum Genet

Author:

Hirokawa Megumi,Morita Hiroyuki,Tajima Tomoyuki,Takahashi Atsushi,Ashikawa Kyota,Miya Fuyuki,Shigemizu Daichi,Ozaki Kouichi,Sakata Yasuhiko,Nakatani Daisaku,Suna Shinichiro,Imai Yasushi,Tanaka Toshihiro^ORCID,Tsunoda Tatsuhiko,Matsuda Koichi^ORCID,Kadowaki Takashi,Nakamura Yusuke,Nagai Ryozo,Komuro Issei,Kubo Michiaki

Publisher

Springer Science and Business Media LLC

Subject

Genetics (clinical),Genetics

Link

http://www.nature.com/articles/ejhg2014110.pdf

Reference37 articles.

1. Falk E, Shah PK, Fuster V : Coronary plaque disruption. Circulation 1995; 92: 657–671.

2. Galkina E, Ley K : Immune and inflammatory mechanisms of atherosclerosis. Annu Rev Immunol 2009; 27: 165–197.

3. The CARDIoGRAMplusC4D Consortium: Large-scale association analysis identifies new risk loci for coronary artery disease. Nat Genet 2013; 45: 25–33.

4. Aoki A, Ozaki K, Sato H et al: SNPs on chromosome 5p15.3 associated with myocardial infarction in Japanese population. J Hum Genet 2011; 56: 47–51.

5. Takeuchi F, Yokota M, Yamamoto K et al: Genome-wide association study of coronary artery disease in the Japanese. Eur J Hum Genet 2012; 20: 333–340.

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