TY - JOUR
T1 - Genome-wide significant loci
T2 - How important are they?: Systems genetics to understand heritability of coronary artery disease and other common complex disorders
AU - Björkegren, Johan L.M.
AU - Kovacic, Jason C.
AU - Dudley, Joel T.
AU - Schadt, Eric E.
N1 - Funding Information:
Drs. Björkegren, Kovacic, and Schadt are supported by the American Heart Association (14SFRN20490315; 14SFRN20840000) and are members of the Consortium “CAD Genomics” (Drs. Björkegren and Schadt) and the Consortium “Cellular and Molecular Targets to Promote Therapeutic Cardiac Regeneration” (Dr. Kovacic), both of which are funded by the Leducq Foundation (Transatlantic Network of Excellence Awards). Dr. Björkegren is also supported by the Swedish Heart-Lung Foundation , the Swedish Research Council , the University of Tartu (SP1GVARENG), the Estonian Research Council , and by a grant from AstraZeneca Translational Science Centre-Karolinska Institutet (joint research program in translational science); and is the founder, a main shareholder, and chairman of the board of Clinical Gene Networks AB (CGN), which has invested interests in the STARNET and STAGE cohorts. Dr. Kovacic is also supported by the National Institutes of Health (K08HL111330) and by a research grant from AstraZeneca . Dr. Dudley is supported in part by funding from the National Institutes of Health (R01 DK098242 and U54 CA189201); and by the PhRMA Foundation. Dr. Schadt is a CGN board member and shareholder. Robert Roberts, MD, served as Guest Editor for this paper.
Publisher Copyright:
© 2015 American College of Cardiology Foundation.
PY - 2015/3/3
Y1 - 2015/3/3
N2 - Genome-wide association studies (GWAS) have been extensively used to study common complex diseases such as coronary artery disease (CAD), revealing 153 suggestive CAD loci, of which at least 46 have been validated as having genome-wide significance. However, these loci collectively explain <10% of the genetic variance in CAD. Thus, we must address the key question of what factors constitute the remaining 90% of CAD heritability. We review possible limitations of GWAS, and contextually consider some candidate CAD loci identified by this method. Looking ahead, we propose systems genetics as a complementary approach to unlocking the CAD heritability and etiology. Systems genetics builds network models of relevant molecular processes by combining genetic and genomic datasets to ultimately identify key "drivers" of disease. By leveraging systems-based genetic approaches, we can help reveal the full genetic basis of common complex disorders, enabling novel diagnostic and therapeutic opportunities.
AB - Genome-wide association studies (GWAS) have been extensively used to study common complex diseases such as coronary artery disease (CAD), revealing 153 suggestive CAD loci, of which at least 46 have been validated as having genome-wide significance. However, these loci collectively explain <10% of the genetic variance in CAD. Thus, we must address the key question of what factors constitute the remaining 90% of CAD heritability. We review possible limitations of GWAS, and contextually consider some candidate CAD loci identified by this method. Looking ahead, we propose systems genetics as a complementary approach to unlocking the CAD heritability and etiology. Systems genetics builds network models of relevant molecular processes by combining genetic and genomic datasets to ultimately identify key "drivers" of disease. By leveraging systems-based genetic approaches, we can help reveal the full genetic basis of common complex disorders, enabling novel diagnostic and therapeutic opportunities.
KW - atherosclerosis
KW - atherosclerotic plaque
KW - genome-wide association study
KW - myocardial infarction
KW - primary prevention
KW - regulatory gene networks
UR - http://www.scopus.com/inward/record.url?scp=84923342405&partnerID=8YFLogxK
U2 - 10.1016/j.jacc.2014.12.033
DO - 10.1016/j.jacc.2014.12.033
M3 - Review article
C2 - 25720628
AN - SCOPUS:84923342405
SN - 0735-1097
VL - 65
SP - 830
EP - 845
JO - Journal of the American College of Cardiology
JF - Journal of the American College of Cardiology
IS - 8
ER -