Improvement in Prediction of Coronary Heart Disease Risk over Conventional Risk Factors Using SNPs Identified in Genome-Wide Association Studies

Jennifer L Bolton; Marlene C W Stewart; James F Wilson; Niall Anderson; Jackie F Price

doi:10.1371/journal.pone.0057310

Improvement in Prediction of Coronary Heart Disease Risk over Conventional Risk Factors Using SNPs Identified in Genome-Wide Association Studies

Jennifer L Bolton, Marlene C W Stewart, James F Wilson, Niall Anderson, Jackie F Price

Research output: Contribution to journal › Article › peer-review

Abstract

We examined whether a panel of SNPs, systematically selected from genome-wide association studies (GWAS), could improve risk prediction of coronary heart disease (CHD), over-and-above conventional risk factors. These SNPs have already demonstrated reproducible associations with CHD; here we examined their use in long-term risk prediction.

Original language	English
Pages (from-to)	e57310
Journal	PLoS ONE
Volume	8
Issue number	2
DOIs	https://doi.org/10.1371/journal.pone.0057310
Publication status	Published - 2013

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10.1371/journal.pone.0057310

Improvement in Prediction of Coronary Heart Disease Risk over Conventional Risk Factors Using SNPs Identified in Genome-Wide Association Studies
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http://www.plosone.org/article/info%3Adoi%2F10.1371%2Fjournal.pone.0057310

Cite this

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title = "Improvement in Prediction of Coronary Heart Disease Risk over Conventional Risk Factors Using SNPs Identified in Genome-Wide Association Studies",

abstract = "We examined whether a panel of SNPs, systematically selected from genome-wide association studies (GWAS), could improve risk prediction of coronary heart disease (CHD), over-and-above conventional risk factors. These SNPs have already demonstrated reproducible associations with CHD; here we examined their use in long-term risk prediction.",

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AB - We examined whether a panel of SNPs, systematically selected from genome-wide association studies (GWAS), could improve risk prediction of coronary heart disease (CHD), over-and-above conventional risk factors. These SNPs have already demonstrated reproducible associations with CHD; here we examined their use in long-term risk prediction.

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Improvement in Prediction of Coronary Heart Disease Risk over Conventional Risk Factors Using SNPs Identified in Genome-Wide Association Studies

Abstract

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