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Articles by K Musunuru
Total Records ( 3 ) for K Musunuru
  K Musunuru , G Lettre , T Young , D. N Farlow , J. P Pirruccello , K. G Ejebe , B. J Keating , Q Yang , M. H Chen , N Lapchyk , A Crenshaw , L Ziaugra , A Rachupka , E. J Benjamin , L. A Cupples , M Fornage , E. R Fox , S. R Heckbert , J. N Hirschhorn , C Newton Cheh , M. M Nizzari , D. N Paltoo , G. J Papanicolaou , S. R Patel , B. M Psaty , D. J Rader , S Redline , S. S Rich , J. I Rotter , H. A Taylor , R. P Tracy , R. S Vasan , J. G Wilson , S Kathiresan , R. R Fabsitz , E Boerwinkle , S. B Gabriel and for the NHLBI Candidate Gene Association Resource
  Background—

The National Heart, Lung, and Blood Institute's Candidate Gene Association Resource (CARe), a planned cross-cohort analysis of genetic variation in cardiovascular, pulmonary, hematologic, and sleep-related traits, comprises >40 000 participants representing 4 ethnic groups in 9 community-based cohorts. The goals of CARe include the discovery of new variants associated with traits using a candidate gene approach and the discovery of new variants using the genome-wide association mapping approach specifically in African Americans.

Methods and Results—

CARe has assembled DNA samples for >40 000 individuals self-identified as European American, African American, Hispanic, or Chinese American, with accompanying data on hundreds of phenotypes that have been standardized and deposited in the CARe Phenotype Database. All participants were genotyped for 7 single-nucleotide polymorphisms (SNPs) selected based on prior association evidence. We performed association analyses relating each of these SNPs to lipid traits, stratified by sex and ethnicity, and adjusted for age and age squared. In at least 2 of the ethnic groups, SNPs near CETP, LIPC, and LPL strongly replicated for association with high-density lipoprotein cholesterol concentrations, PCSK9 with low-density lipoprotein cholesterol levels, and LPL and APOA5 with serum triglycerides. Notably, some SNPs showed varying effect sizes and significance of association in different ethnic groups.

Conclusions—

The CARe Pilot Study validates the operational framework for phenotype collection, SNP genotyping, and analytic pipeline of the CARe project and validates the planned candidate gene study of 2000 biological candidate loci in all participants and genome-wide association study in 8000 African American participants. CARe will serve as a valuable resource for the scientific community.

  K Musunuru , W. S Post , W Herzog , H Shen , J. R O'Connell , P. F McArdle , K. A Ryan , Q Gibson , Y. C Cheng , E Clearfield , A. D Johnson , G Tofler , Q Yang , C. J O'Donnell , D. M Becker , L. R Yanek , L. C Becker , N Faraday , L. F Bielak , P. A Peyser , A. R Shuldiner and B. D. Mitchell
  Background—

Genome-wide association studies have identified a locus on chromosome 9p21.3 to be strongly associated with myocardial infarction/coronary artery disease and ischemic stroke. To gain insights into the mechanisms underlying these associations, we hypothesized that single nucleotide polymorphisms (SNPs) in this region would be associated with platelet reactivity across multiple populations.

Methods and Results—

Subjects in the initial population included 1402 asymptomatic Amish adults in whom we measured platelet reactivity (n=788) and coronary artery calcification (CAC) (n=939). Platelet reactivity on agonist stimulation was measured by impedance aggregometry, and CAC was measured by electron beam CT. Twenty-nine SNPs at the 9p21.3 locus were genotyped using the Affymetrix 500K array. Twelve correlated SNPs in the locus were significantly associated with platelet reactivity (all P≤0.001). The SNP most strongly associated with platelet reactivity, rs10965219 (P=0.0002), also was associated with CAC (P=0.002) along with 9 other SNPs (all P<0.004). Association of rs10965219 with platelet reactivity persisted after adjustment for CAC, a measure of underlying atherosclerotic burden known to affect platelet reactivity. We then tested rs10965219 for association with platelet function in 2364 subjects from the Framingham Heart Study and 1169 subjects from the Genetic Study of Aspirin Responsiveness. The rs10965219 G allele (frequency 51% across all 3 populations) was significantly associated with higher platelet reactivity in the Framingham Heart Study (P=0.001) and trended toward higher reactivity in the Genetic Study of Aspirin Responsiveness (P=0.087); the combined P value for metaanalysis was 0.0002.

Conclusions—

These results suggest that risk alleles at 9p21.3 locus may have pleiotropic effects on myocardial infarction/coronary artery disease and stroke risk, possibly through their influence on platelet reactivity.

  M Preuss , I. R Konig , J. R Thompson , J Erdmann , D Absher , T. L Assimes , S Blankenberg , E Boerwinkle , L Chen , L. A Cupples , A. S Hall , E Halperin , C Hengstenberg , H Holm , R Laaksonen , M Li , W Marz , R McPherson , K Musunuru , C. P Nelson , M Susan Burnett , S. E Epstein , C. J O'Donnell , T Quertermous , D. J Rader , R Roberts , A Schillert , K Stefansson , A. F. R Stewart , G Thorleifsson , B. F Voight , G. A Wells , A Ziegler , S Kathiresan , M. P Reilly , N. J Samani , H Schunkert and on behalf of the CARDIoGRAM Consortium
  Background—

Recent genome-wide association studies (GWAS) of myocardial infarction (MI) and other forms of coronary artery disease (CAD) have led to the discovery of at least 13 genetic loci. In addition to the effect size, power to detect associations is largely driven by sample size. Therefore, to maximize the chance of finding novel susceptibility loci for CAD and MI, the Coronary ARtery DIsease Genome-wide Replication And Meta-analysis (CARDIoGRAM) consortium was formed.

Methods and Results—

CARDIoGRAM combines data from all published and several unpublished GWAS in individuals with European ancestry; includes >22 000 cases with CAD, MI, or both and >60 000 controls; and unifies samples from the Atherosclerotic Disease VAscular functioN and genetiC Epidemiology study, CADomics, Cohorts for Heart and Aging Research in Genomic Epidemiology, deCODE, the German Myocardial Infarction Family Studies I, II, and III, Ludwigshafen Risk and Cardiovascular Heath Study/AtheroRemo, MedStar, Myocardial Infarction Genetics Consortium, Ottawa Heart Genomics Study, PennCath, and the Wellcome Trust Case Control Consortium. Genotyping was carried out on Affymetrix or Illumina platforms followed by imputation of genotypes in most studies. On average, 2.2 million single nucleotide polymorphisms were generated per study. The results from each study are combined using meta-analysis. As proof of principle, we meta-analyzed risk variants at 9p21 and found that rs1333049 confers a 29% increase in risk for MI per copy (P=2x10–20).

Conclusion—

CARDIoGRAM is poised to contribute to our understanding of the role of common genetic variation on risk for CAD and MI.

 
 
 
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