Genome-wide assessment for genetic variants associated with ventricular dysfunction after primary coronary artery bypass graft surgery

Amanda A Fox, Mias Pretorius, Kuang-Yu Liu, Charles D Collard, Tjorvi E Perry, Stanton K Shernan, Philip L De Jager, David A Hafler, Daniel S Herman, Steven R DePalma, Dan M Roden, Jochen D Muehlschlegel, Brian S Donahue, Dawood Darbar, J G Seidman, Simon C Body, Christine E Seidman, Amanda A Fox, Mias Pretorius, Kuang-Yu Liu, Charles D Collard, Tjorvi E Perry, Stanton K Shernan, Philip L De Jager, David A Hafler, Daniel S Herman, Steven R DePalma, Dan M Roden, Jochen D Muehlschlegel, Brian S Donahue, Dawood Darbar, J G Seidman, Simon C Body, Christine E Seidman

Abstract

Background: Postoperative ventricular dysfunction (VnD) occurs in 9-20% of coronary artery bypass graft (CABG) surgical patients and is associated with increased postoperative morbidity and mortality. Understanding genetic causes of postoperative VnD should enhance patient risk stratification and improve treatment and prevention strategies. We aimed to determine if genetic variants associate with occurrence of in-hospital VnD after CABG surgery.

Methods: A genome-wide association study identified single nucleotide polymorphisms (SNPs) associated with postoperative VnD in male subjects of European ancestry undergoing isolated primary CABG surgery with cardiopulmonary bypass. VnD was defined as the need for ≥2 inotropes or mechanical ventricular support after CABG surgery. Validated SNPs were assessed further in two replication CABG cohorts and meta-analysis was performed.

Results: Over 100 SNPs were associated with VnD (P<10(-4)), with one SNP (rs17691914) encoded at 3p22.3 reaching genome-wide significance (P(additive model) = 2.14×10(-8)). Meta-analysis of validation and replication study data for 17 SNPs identified three SNPs associated with increased risk for developing postoperative VnD after adjusting for clinical risk factors. These SNPs are located at 3p22.3 (rs17691914, OR(additive model) = 2.01, P = 0.0002), 3p14.2 (rs17061085, OR(additive model) = 1.70, P = 0.0001) and 11q23.2 (rs12279572, OR(recessive model) = 2.19, P = 0.001).

Conclusions: No SNPs were consistently associated with strong risk (OR(additive model)>2.1) of developing in-hospital VnD after CABG surgery. However, three genetic loci identified by meta-analysis were more modestly associated with development of postoperative VnD. Studies of larger cohorts to assess these loci as well as to define other genetic mechanisms and related biology that link genetic variants to postoperative ventricular dysfunction are warranted.

Conflict of interest statement

Competing Interests: The authors have declared that no competing interests exist.

Figures

Figure 1. Schematic illustrating sequence of GWAS…
Figure 1. Schematic illustrating sequence of GWAS study followed by validation study, replication studies, and meta-analysis.
All subjects were of European ancestry and were male unless otherwise specified. * 39 Affymetrix 6.0 SNPs associated with VnD in the GWAS (P−4) or SNPs in strong linkage disequilibrium (r2>0.80; estimated using HaploView 4.1.) with these GWAS SNPs were genotyped from 34 genetic loci for further validation study assessment. † In order to identify SNPs with potentially stronger associations with VnD within some of the genetic loci identified in the GWAS, additional SNPs were genotyped that were in moderate linkage disequilibrium with associated GWAS SNPs (r2 = 0.30–0.70). Correlations (r2) were estimated using HaploView 4.1. ‡ SNP associations with VnD were analyzed by enrolling institution (BWH, THI, and Vanderbilt University Medical Center) with adjustments for age, preoperative LVEF, and duration of CPB time, and then combined by meta-analysis.
Figure 2. The –log P value (lambda…
Figure 2. The –log P value (lambda adjusted) of the allelic genetic model for each single nucleotide polymorphism (SNP) according to location on the 22 autosomal chromosomes.
Horizontal line indicates the 5×10−8 P value threshold for genome-wide significance.

References

    1. Lloyd-Jones D, Adams RJ, Brown TM, Carnethon M, Dai S, et al. Heart disease and stroke statistics–2010 update: a report from the American Heart Association. Circulation. 2010;121:e46–e215.
    1. Hutfless R, Kazanegra R, Madani M, Bhalla MA, Tulua-Tata A, et al. Utility of B-type natriuretic peptide in predicting postoperative complications and outcomes in patients undergoing heart surgery. J Am Coll Cardiol. 2004;43:1873–1879.
    1. Fox AA, Shernan SK, Collard CD, Liu KY, Aranki SF, et al. Preoperative B-type natriuretic peptide is as independent predictor of ventricular dysfunction and mortality after primary coronary artery bypass grafting. J Thorac Cardiovasc Surg. 2008;136:452–461.
    1. Provenchere S, Berroeta C, Reynaud C, Baron G, Poirier I, et al. Plasma brain natriuretic peptide and cardiac troponin I concentrations after adult cardiac surgery: association with postoperative cardiac dysfunction and 1-year mortality. Crit Care Med. 2006;34:995–1000.
    1. Rao V, Ivanov J, Weisel RD, Ikonomidis JS, Christakis GT, et al. Predictors of low cardiac output syndrome after coronary artery bypass. J Thorac Cardiovasc Surg. 1996;112:38–51.
    1. Fox AA, Collard CD, Shernan SK, Seidman CE, Seidman JG, et al. Natriuretic peptide system gene variants are associated with ventricular dysfunction after coronary artery bypass grafting. Anesthesiology. 2009;110:738–747.
    1. Morita H, Seidman J, Seidman CE. Genetic causes of human heart failure. J Clin Invest. 2005;115:518–526.
    1. Haddad GE, Saunders LJ, Crosby SD, Carles M, del Monte F, et al. Human cardiac-specific cDNA array for idiopathic dilated cardiomyopathy: sex-related differences. Physiol Genomics. 2008;33:267–277.
    1. Nieminen MS, Harjola VP, Hochadel M, Drexler H, Komajda M, et al. Gender related differences in patients presenting with acute heart failure. Results from EuroHeart Failure Survey II. Eur J Heart Fail. 2008;10:140–148.
    1. Fox AA, Muehlschlegel JD, Body SC, Shernan SK, Liu KY, et al. Comparison of the utility of preoperative versus postoperative B-type natriuretic peptide for predicting hospital length of stay and mortality after primary coronary artery bypass grafting. Anesthesiology. 2010;112:842–851.
    1. Purcell S, Neale B, Todd-Brown K, Thomas L, Ferreira MA, et al. PLINK: a tool set for whole-genome association and population-based linkage analyses. Am J Hum Genet. 2007;81:559–575.
    1. California UoS. Quanto. 2009. 1.2.4 ed.
    1. Morrison AC, Felix JF, Cupples LA, Glazer NL, Loehr LR, et al. Genomic variation associated with mortality among adults of European and African ancestry with heart failure: the cohorts for heart and aging research in genomic epidemiology consortium. Circ Cardiovasc Genet. 2010;3:248–255.
    1. Okumura H, Ishii H, Pichiorri F, Croce CM, Mori M, et al. Fragile gene product, Fhit, in oxidative and replicative stress responses. Cancer Sci. 2009;100:1145–1150.
    1. Ohki-Kaneda R, Ohashi J, Yamamoto K, Ueno S, Ota J, et al. Cardiac function-related gene expression profiles in human atrial myocytes. Biochem Biophys Res Commun. 2004;320:1328–1336.
    1. Jung H, Lee KP, Park SJ, Park JH, Jang YS, et al. TMPRSS4 promotes invasion, migration and metastasis of human tumor cells by facilitating an epithelial-mesenchymal transition. Oncogene. 2008;27:2635–2647.
    1. Khaper N, Bryan S, Dhingra S, Singal R, Bajaj A, et al. Targeting the vicious inflammation-oxidative stress cycle for the management of heart failure. Antioxid Redox Signal. 2010;13:1033–1049.
    1. Medeiros-Domingo A, Kaku T, Tester DJ, Iturralde-Torres P, Itty A, et al. SCN4B-encoded sodium channel beta4 subunit in congenital long-QT syndrome. Circulation. 2007;116:134–142.
    1. Watanabe H, Darbar D, Kaiser DW, Jiramongkolchai K, Chopra S, et al. Mutations in sodium channel beta1- and beta2-subunits associated with atrial fibrillation. Circ Arrhythm Electrophysiol. 2009;2:268–275.
    1. Samani NJ, Erdmann J, Hall AS, Hengstenberg C, Mangino M, et al. Genomewide association analysis of coronary artery disease. N Engl J Med. 2007;357:443–453.
    1. Samani NJ, Deloukas P, Erdmann J, Hengstenberg C, Kuulasmaa K, et al. Large scale association analysis of novel genetic loci for coronary artery disease. Arterioscler Thromb Vasc Biol. 2009;29:774–780.
    1. Kathiresan S, Voight BF, Purcell S, Musunuru K, Ardissino D, et al. Genome-wide association of early-onset myocardial infarction with single nucleotide polymorphisms and copy number variants. Nat Genet. 2009;41:334–341.
    1. Wellcome Trust Case Control Consortium. Genome-wide association study of 14,000 cases of seven common diseases and 3,000 shared controls. Nature. 2007;447:661–678.
    1. Li M, Li C, Guan W. Evaluation of coverage variation of SNP chips for genome-wide association studies. Eur J Hum Genet. 2008;16:635–643.

Source: PubMed

3
구독하다