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Articles by S Kathiresan
Total Records ( 4 ) for S Kathiresan
  N. L Smith , M. H Chen , A Dehghan , D. P Strachan , S Basu , N Soranzo , C Hayward , I Rudan , M Sabater Lleal , J. C Bis , M. P. M de Maat , A Rumley , X Kong , Q Yang , F. M. K Williams , V Vitart , H Campbell , A Malarstig , K. L Wiggins , C. M Van Duijn , W. L McArdle , J. S Pankow , A. D Johnson , A Silveira , B McKnight , A. G Uitterlinden , Aleksic Wellcome Trust Case Control Consortium; , J. B Meigs , A Peters , W Koenig , M Cushman , S Kathiresan , J. I Rotter , E. G Bovill , A Hofman , E Boerwinkle , G. H Tofler , J. F Peden , B. M Psaty , F Leebeek , A. R Folsom , M. G Larson , T. D Spector , A. F Wright , J. F Wilson , A Hamsten , T Lumley , J. C. M Witteman , W Tang and C. J. O'Donnell
 

Background— Plasma levels of coagulation factors VII (FVII), VIII (FVIII), and von Willebrand factor (vWF) influence risk of hemorrhage and thrombosis. We conducted genome-wide association studies to identify new loci associated with plasma levels.

Methods and Results— The setting of the study included 5 community-based studies for discovery comprising 23 608 European-ancestry participants: Atherosclerosis Risk In Communities Study, Cardiovascular Health Study, British 1958 Birth Cohort, Framingham Heart Study, and Rotterdam Study. All subjects had genome-wide single-nucleotide polymorphism (SNP) scans and at least 1 phenotype measured: FVII activity/antigen, FVIII activity, and vWF antigen. Each study used its genotype data to impute to HapMap SNPs and independently conducted association analyses of hemostasis measures using an additive genetic model. Study findings were combined by meta-analysis. Replication was conducted in 7604 participants not in the discovery cohort. For FVII, 305 SNPs exceeded the genome-wide significance threshold of 5.0x10–8 and comprised 5 loci on 5 chromosomes: 2p23 (smallest P value 6.2x10–24), 4q25 (3.6x10–12), 11q12 (2.0x10–10), 13q34 (9.0x10–259), and 20q11.2 (5.7x10–37). Loci were within or near genes, including 4 new candidate genes and F7 (13q34). For vWF, 400 SNPs exceeded the threshold and marked 8 loci on 6 chromosomes: 6q24 (1.2x10–22), 8p21 (1.3x10–16), 9q34 (<5.0x10–324), 12p13 (1.7x10–32), 12q23 (7.3x10–10), 12q24.3 (3.8x10–11), 14q32 (2.3x10–10), and 19p13.2 (1.3x10–9). All loci were within genes, including 6 new candidate genes, as well as ABO (9q34) and VWF (12p13). For FVIII, 5 loci were identified and overlapped vWF findings. Nine of the 10 new findings were replicated.

Conclusions— New genetic associations were discovered outside previously known biological pathways and may point to novel prevention and treatment targets of hemostasis disorders.

  A Dehghan , Q Yang , A Peters , S Basu , J. C Bis , A. R Rudnicka , M Kavousi , M. H Chen , J Baumert , G. D.O Lowe , B McKnight , W Tang , M de Maat , M. G Larson , S Eyhermendy , W. L McArdle , T Lumley , J. S Pankow , A Hofman , J. M Massaro , F Rivadeneira , M Kolz , K. D Taylor , C. M van Duijn , S Kathiresan , T Illig , Y. S Aulchenko , K. A Volcik , A. D Johnson , A. G Uitterlinden , G. H Tofler , C Gieger , Psaty Wellcome Trust Case Control Consortium , D. J Couper , E Boerwinkle , W Koenig , C. J O`Donnell , J. C Witteman , D. P Strachan , N. L Smith and A. R. Folsom
 

Background— Fibrinogen is both central to blood coagulation and an acute-phase reactant. We aimed to identify common variants influencing circulation fibrinogen levels.

Methods and Results— We conducted a genome-wide association analysis on 6 population-based studies, the Rotterdam Study, the Framingham Heart Study, the Cardiovascular Health Study, the Atherosclerosis Risk in Communities Study, the Monitoring of Trends and Determinants in Cardiovascular Disease/KORA Augsburg Study, and the British 1958 Birth Cohort Study, including 22 096 participants of European ancestry. Four loci were marked by 1 or more single-nucleotide polymorphisms that demonstrated genome-wide significance (P<5.0x10–8). These included a single-nucleotide polymorphism located in the fibrinogen β chain (FGB) gene and 3 single-nucleotide polymorphisms representing newly identified loci. The high-signal single-nucleotide polymorphisms were rs1800789 in exon 7 of FGB (P=1.8x10–30), rs2522056 downstream from the interferon regulatory factor 1 (IRF1) gene (P=1.3x10–15), rs511154 within intron 1 of the propionyl coenzyme A carboxylase (PCCB) gene (P=5.9x10–10), and rs1539019 on the NLR family pyrin domain containing 3 isoforms (NLRP3) gene (P=1.04x10–8).

Conclusions— Our findings highlight biological pathways that may be important in regulation of inflammation underlying cardiovascular disease.

  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.

  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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