Literature DB >> 34237186

Genetics of coronary artery disease in the post-GWAS era.

Zhifen Chen1,2, Heribert Schunkert1,2.   

Abstract

During the past decade, genome-wide association studies (GWAS) have transformed our understanding of many heritable traits. Three recent large-scale GWAS meta-analyses now further markedly expand the knowledge on coronary artery disease (CAD) genetics in doubling the number of loci with genome-wide significant signals. Here, we review the unprecedented discoveries of CAD GWAS on low-frequency variants, underrepresented populations, sex differences and integrated polygenic risk. We present the milestones of CAD GWAS and post-GWAS studies from 2007 to 2021, and the trend in identification of variants with smaller odds ratio by year due to the increasing sample size. We compile the 321 CAD loci discovered thus far and classify candidate genes as well as distinct functional pathways on the road to indepth biological investigation and identification of novel treatment targets. We draw attention to systems genetics in integrating these loci into gene regulatory networks within and across tissues. We review the traits, biomarkers and diseases scrutinized by Mendelian randomization studies for CAD. Finally, we discuss the potentials and concerns of polygenic scores in predicting CAD risk in patient care as well as future directions of GWAS and post-GWAS studies in the field of precision medicine.
© 2021 The Authors. Journal of Internal Medicine published by John Wiley & Sons Ltd on behalf of Association for Publication of The Journal of Internal Medicine.

Entities:  

Keywords:  Mendelian randomization; coronary artery disease; genome-wide association study; polygenic risk score; precision medicine; systems genetics

Mesh:

Year:  2021        PMID: 34237186     DOI: 10.1111/joim.13362

Source DB:  PubMed          Journal:  J Intern Med        ISSN: 0954-6820            Impact factor:   8.989


  7 in total

Review 1.  Etiologic Puzzle of Coronary Artery Disease: How Important Is Genetic Component?

Authors:  Lăcrămioara Ionela Butnariu; Laura Florea; Minerva Codruta Badescu; Elena Țarcă; Irina-Iuliana Costache; Eusebiu Vlad Gorduza
Journal:  Life (Basel)       Date:  2022-06-09

2.  Association study between polymorphisms in MIA3, SELE, SMAD3 and CETP genes and coronary artery disease in an Iranian population.

Authors:  Sima Rayat; Nasim Ramezanidoraki; Nima Kazemi; Mohammad H Modarressi; Masoumeh Falah; Safoura Zardadi; Saeid Morovvati
Journal:  BMC Cardiovasc Disord       Date:  2022-06-30       Impact factor: 2.174

3.  Study of the Association between VEGF Polymorphisms and the Risk of Coronary Artery Disease in Koreans.

Authors:  Eun-Ju Ko; In-Jai Kim; Jeong-Yong Lee; Hyeon-Woo Park; Han-Sung Park; Sang-Hoon Kim; Jae-Youn Moon; Jung-Hoon Sung; Nam-Keun Kim
Journal:  J Pers Med       Date:  2022-05-07

Review 4.  Where the Action Is-Leukocyte Recruitment in Atherosclerosis.

Authors:  Carina Mauersberger; Julia Hinterdobler; Heribert Schunkert; Thorsten Kessler; Hendrik B Sager
Journal:  Front Cardiovasc Med       Date:  2022-01-11

Review 5.  Risk Prediction of Cardiovascular Events by Exploration of Molecular Data with Explainable Artificial Intelligence.

Authors:  Annie M Westerlund; Johann S Hawe; Matthias Heinig; Heribert Schunkert
Journal:  Int J Mol Sci       Date:  2021-09-24       Impact factor: 5.923

6.  An updated analysis on the association of GSTM1 polymorphism and smoking exposure with the increased risk of coronary heart disease.

Authors:  Min Liu; Ye Gu; Jian-Ning Ma; Ke-Na Bao; Li Ao; Xin Ni
Journal:  J Int Med Res       Date:  2022-09       Impact factor: 1.573

7.  Polygenic risk for coronary artery disease in the Scottish and English population.

Authors:  Chuhua Yang; Fabian Starnecker; Shichao Pang; Zhifen Chen; Ulrich Güldener; Ling Li; Matthias Heinig; Heribert Schunkert
Journal:  BMC Cardiovasc Disord       Date:  2021-12-07       Impact factor: 2.174

  7 in total

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