Literature DB >> 22767652

Association of a genetic risk score with prevalent and incident myocardial infarction in subjects undergoing coronary angiography.

Riyaz S Patel1, Yan V Sun, Jaana Hartiala, Emir Veledar, Shaoyong Su, Salman Sher, Ying X Liu, Ayaz Rahman, Ronak Patel, S Tanveer Rab, Viola Vaccarino, A Maziar Zafari, Habib Samady, W H Wilson Tang, Hooman Allayee, Stanley L Hazen, Arshed A Quyyumi.   

Abstract

BACKGROUND: Genome-wide association studies have identified multiple variants associating with coronary artery disease (CAD) and myocardial infarction (MI). Whether a combined genetic risk score (GRS) is associated with prevalent and incident MI in high-risk subjects remains to be established. METHODS AND
RESULTS: In subjects undergoing cardiac catheterization (n=2597), we identified cases with a history of MI onset at age <70 years and controls ≥70 years without prior MI and followed them for incident MI and death. Genotyping was performed for 11 established CAD/MI variants, and a GRS was calculated based on average number of risk alleles carried at each locus weighted by effect size. Replication of association findings was sought in an independent angiographic cohort (n=2702). The GRS was significantly associated with prevalent MI, occurring before age 70, compared with older controls (≥70 years of age) with no history of MI (P<0.001). This association was successfully replicated in a second cohort, yielding a pooled P value of <0.001. The GRS modestly improved the area-under-the-curve statistic in models of prevalent MI with traditional risk factors; however, the association was not statistically significant when elderly controls without MI but with s\ angiographic CAD were examined (pooled P=0.11). Finally, during a median 2.5-year follow-up, only a nonsignificant trend was noted between the GRS and incident events, which was also not significant in the replication cohort.
CONCLUSIONS: A GRS of 11 CAD/MI variants is associated with prevalent MI but not near-term incident adverse events in 2 independent angiographic cohorts. These findings have implications for understanding the clinical use of genetic risk scores for secondary as opposed to primary risk prediction.

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Year:  2012        PMID: 22767652      PMCID: PMC3459582          DOI: 10.1161/CIRCGENETICS.111.960229

Source DB:  PubMed          Journal:  Circ Cardiovasc Genet        ISSN: 1942-3268


  34 in total

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Review 2.  Uncovering the roles of rare variants in common disease through whole-genome sequencing.

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3.  Improved prediction of cardiovascular disease based on a panel of single nucleotide polymorphisms identified through genome-wide association studies.

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Journal:  Nature       Date:  2010-08-05       Impact factor: 49.962

5.  Association between a literature-based genetic risk score and cardiovascular events in women.

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10.  Large scale association analysis of novel genetic loci for coronary artery disease.

Authors:  N J Samani; P Deloukas; J Erdmann; C Hengstenberg; K Kuulasmaa; R McGinnis; H Schunkert; N Soranzo; J Thompson; L Tiret; A Ziegler
Journal:  Arterioscler Thromb Vasc Biol       Date:  2009-01-22       Impact factor: 8.311

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Review 3.  Polygenic Risk Scores to Identify CVD Risk and Tailor Therapy: Hope or Hype?

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Review 4.  Genetic Risk Prediction for Primary and Secondary Prevention of Atherosclerotic Cardiovascular Disease: an Update.

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Review 6.  Genetics of coronary artery disease.

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7.  Common sequence variants associated with coronary artery disease correlate with the extent of coronary atherosclerosis.

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8.  Genetic information improves the prediction of major adverse cardiovascular events in the GENEMACOR population.

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Review 9.  Current Applications of Genetic Risk Scores to Cardiovascular Outcomes and Subclinical Phenotypes.

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10.  Local false discovery rate estimation using feature reliability in LC/MS metabolomics data.

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