Research ExplorerPublicationsDesign of the Coronary ARtery DIsease Genome-Wide Replicatio...

Design of the Coronary ARtery DIsease Genome-Wide Replication And Meta-Analysis (CARDIoGRAM) Study: A Genome-wide association meta-analysis involving more than 22 000 cases and 60 000 controls

Standard

Design of the Coronary ARtery DIsease Genome-Wide Replication And Meta-Analysis (CARDIoGRAM) Study: A Genome-wide association meta-analysis involving more than 22 000 cases and 60 000 controls. / Preuss, Michael; König, Inke R; Thompson, John R; Erdmann, Jeanette; Absher, Devin; Assimes, Themistocles L; Blankenberg, Stefan; Boerwinkle, Eric; Chen, Li; Cupples, L Adrienne; Hall, Alistair S; Halperin, Eran; Hengstenberg, Christian; Holm, Hilma; Laaksonen, Reijo; Li, Mingyao; März, Winfried; McPherson, Ruth; Musunuru, Kiran; Nelson, Christopher P; Burnett, Mary Susan; Epstein, Stephen E; O'Donnell, Christopher J; Quertermous, Thomas; Rader, Daniel J; Roberts, Robert; Schillert, Arne; Stefansson, Kari; Stewart, Alexandre F R; Thorleifsson, Gudmar; Voight, Benjamin F; Wells, George A; Ziegler, Andreas; Kathiresan, Sekar; Reilly, Muredach P; Samani, Nilesh J; Schunkert, Heribert; CARDIoGRAM Consortium.

In: CIRC-CARDIOVASC GENE, Vol. 3, No. 5, 10.2010, p. 475-483.

Research output: SCORING: Contribution to journal › SCORING: Journal article › Research › peer-review

Harvard

Preuss, M, König, IR, Thompson, JR, Erdmann, J, Absher, D, Assimes, TL, Blankenberg, S, Boerwinkle, E, Chen, L, Cupples, LA, Hall, AS, Halperin, E, Hengstenberg, C, Holm, H, Laaksonen, R, Li, M, März, W, McPherson, R, Musunuru, K, Nelson, CP, Burnett, MS, Epstein, SE, O'Donnell, CJ, Quertermous, T, Rader, DJ, Roberts, R, Schillert, A, Stefansson, K, Stewart, AFR, Thorleifsson, G, Voight, BF, Wells, GA, Ziegler, A, Kathiresan, S, Reilly, MP, Samani, NJ, Schunkert, H & CARDIoGRAM Consortium 2010, 'Design of the Coronary ARtery DIsease Genome-Wide Replication And Meta-Analysis (CARDIoGRAM) Study: A Genome-wide association meta-analysis involving more than 22 000 cases and 60 000 controls', CIRC-CARDIOVASC GENE, vol. 3, no. 5, pp. 475-483. https://doi.org/10.1161/CIRCGENETICS.109.899443

APA

Preuss, M., König, I. R., Thompson, J. R., Erdmann, J., Absher, D., Assimes, T. L., Blankenberg, S., Boerwinkle, E., Chen, L., Cupples, L. A., Hall, A. S., Halperin, E., Hengstenberg, C., Holm, H., Laaksonen, R., Li, M., März, W., McPherson, R., Musunuru, K., ... CARDIoGRAM Consortium (2010). Design of the Coronary ARtery DIsease Genome-Wide Replication And Meta-Analysis (CARDIoGRAM) Study: A Genome-wide association meta-analysis involving more than 22 000 cases and 60 000 controls. CIRC-CARDIOVASC GENE, 3(5), 475-483. https://doi.org/10.1161/CIRCGENETICS.109.899443

Vancouver

Preuss M, König IR, Thompson JR, Erdmann J, Absher D, Assimes TL et al. Design of the Coronary ARtery DIsease Genome-Wide Replication And Meta-Analysis (CARDIoGRAM) Study: A Genome-wide association meta-analysis involving more than 22 000 cases and 60 000 controls. CIRC-CARDIOVASC GENE. 2010 Oct;3(5):475-483. https://doi.org/10.1161/CIRCGENETICS.109.899443

Bibtex

@article{6941f5b8d523401c8bb18fe71a99cfda,
title = "Design of the Coronary ARtery DIsease Genome-Wide Replication And Meta-Analysis (CARDIoGRAM) Study: A Genome-wide association meta-analysis involving more than 22 000 cases and 60 000 controls",
abstract = "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=2×10⁻²⁰).CONCLUSION: CARDIoGRAM is poised to contribute to our understanding of the role of common genetic variation on risk for CAD and MI.",
keywords = "Adult, Aged, Algorithms, Coronary Artery Disease/genetics, Female, Genetic Predisposition to Disease, Genome-Wide Association Study, Genotype, Humans, Male, Middle Aged, Myocardial Infarction/genetics, Polymorphism, Single Nucleotide, Research Design",
author = "Michael Preuss and K{\"o}nig, {Inke R} and Thompson, {John R} and Jeanette Erdmann and Devin Absher and Assimes, {Themistocles L} and Stefan Blankenberg and Eric Boerwinkle and Li Chen and Cupples, {L Adrienne} and Hall, {Alistair S} and Eran Halperin and Christian Hengstenberg and Hilma Holm and Reijo Laaksonen and Mingyao Li and Winfried M{\"a}rz and Ruth McPherson and Kiran Musunuru and Nelson, {Christopher P} and Burnett, {Mary Susan} and Epstein, {Stephen E} and O'Donnell, {Christopher J} and Thomas Quertermous and Rader, {Daniel J} and Robert Roberts and Arne Schillert and Kari Stefansson and Stewart, {Alexandre F R} and Gudmar Thorleifsson and Voight, {Benjamin F} and Wells, {George A} and Andreas Ziegler and Sekar Kathiresan and Reilly, {Muredach P} and Samani, {Nilesh J} and Heribert Schunkert and {CARDIoGRAM Consortium}",
year = "2010",
month = oct,
doi = "10.1161/CIRCGENETICS.109.899443",
language = "English",
volume = "3",
pages = "475--483",
journal = "CIRC-CARDIOVASC GENE",
issn = "1942-325X",
publisher = "Lippincott Williams and Wilkins",
number = "5",

}

RIS

TY - JOUR

T1 - Design of the Coronary ARtery DIsease Genome-Wide Replication And Meta-Analysis (CARDIoGRAM) Study: A Genome-wide association meta-analysis involving more than 22 000 cases and 60 000 controls

AU - Preuss, Michael

AU - König, Inke R

AU - Thompson, John R

AU - Erdmann, Jeanette

AU - Absher, Devin

AU - Assimes, Themistocles L

AU - Blankenberg, Stefan

AU - Boerwinkle, Eric

AU - Chen, Li

AU - Cupples, L Adrienne

AU - Hall, Alistair S

AU - Halperin, Eran

AU - Hengstenberg, Christian

AU - Holm, Hilma

AU - Laaksonen, Reijo

AU - Li, Mingyao

AU - März, Winfried

AU - McPherson, Ruth

AU - Musunuru, Kiran

AU - Nelson, Christopher P

AU - Burnett, Mary Susan

AU - Epstein, Stephen E

AU - O'Donnell, Christopher J

AU - Quertermous, Thomas

AU - Rader, Daniel J

AU - Roberts, Robert

AU - Schillert, Arne

AU - Stefansson, Kari

AU - Stewart, Alexandre F R

AU - Thorleifsson, Gudmar

AU - Voight, Benjamin F

AU - Wells, George A

AU - Ziegler, Andreas

AU - Kathiresan, Sekar

AU - Reilly, Muredach P

AU - Samani, Nilesh J

AU - Schunkert, Heribert

AU - CARDIoGRAM Consortium

PY - 2010/10

Y1 - 2010/10

N2 - 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=2×10⁻²⁰).CONCLUSION: CARDIoGRAM is poised to contribute to our understanding of the role of common genetic variation on risk for CAD and MI.

AB - 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=2×10⁻²⁰).CONCLUSION: CARDIoGRAM is poised to contribute to our understanding of the role of common genetic variation on risk for CAD and MI.

KW - Adult

KW - Aged

KW - Algorithms

KW - Coronary Artery Disease/genetics

KW - Female

KW - Genetic Predisposition to Disease

KW - Genome-Wide Association Study

KW - Genotype

KW - Humans

KW - Male

KW - Middle Aged

KW - Myocardial Infarction/genetics

KW - Polymorphism, Single Nucleotide

KW - Research Design

U2 - 10.1161/CIRCGENETICS.109.899443

DO - 10.1161/CIRCGENETICS.109.899443

M3 - SCORING: Journal article

C2 - 20923989

VL - 3

SP - 475

EP - 483

JO - CIRC-CARDIOVASC GENE

JF - CIRC-CARDIOVASC GENE

SN - 1942-325X

IS - 5

ER -