Genotype-informed estimation of risk of coronary heart disease based on genome-wide association data linked to the electronic medical record

<p>Abstract</p> <p>Background</p> <p>Susceptibility variants identified by genome-wide association studies (GWAS) have modest effect sizes. Whether such variants provide incremental information in assessing risk for common 'complex' diseases is unclear. We inv...

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Main Authors: Ding Keyue, Bailey Kent R, Kullo Iftikhar J
Format: Article
Language:English
Published: BMC 2011-11-01
Series:BMC Cardiovascular Disorders
Online Access:http://www.biomedcentral.com/1471-2261/11/66
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spelling doaj-b90f2b6ba2044b53b70fc0056b48d64a2020-11-25T03:07:17ZengBMCBMC Cardiovascular Disorders1471-22612011-11-011116610.1186/1471-2261-11-66Genotype-informed estimation of risk of coronary heart disease based on genome-wide association data linked to the electronic medical recordDing KeyueBailey Kent RKullo Iftikhar J<p>Abstract</p> <p>Background</p> <p>Susceptibility variants identified by genome-wide association studies (GWAS) have modest effect sizes. Whether such variants provide incremental information in assessing risk for common 'complex' diseases is unclear. We investigated whether measured and imputed genotypes from a GWAS dataset linked to the electronic medical record alter estimates of coronary heart disease (CHD) risk.</p> <p>Methods</p> <p>Study participants (<it>n </it>= 1243) had no known cardiovascular disease and were considered to be at high, intermediate, or low 10-year risk of CHD based on the Framingham risk score (FRS) which includes age, sex, total and HDL cholesterol, blood pressure, diabetes, and smoking status. Of twelve SNPs identified in prior GWAS to be associated with CHD, four were genotyped in the participants as part of a GWAS. Genotypes for seven SNPs were imputed from HapMap CEU population using the program MACH. We calculated a multiplex genetic risk score for each patient based on the odds ratios of the susceptibility SNPs and incorporated this into the FRS.</p> <p>Results</p> <p>The mean (SD) number of risk alleles was 12.31 (1.95), range 6-18. The mean (SD) of the weighted genetic risk score was 12.64 (2.05), range 5.75-18.20. The CHD genetic risk score was not correlated with the FRS (<it>P </it>= 0.78). After incorporating the genetic risk score into the FRS, a total of 380 individuals (30.6%) were reclassified into higher-(188) or lower-risk groups (192).</p> <p>Conclusion</p> <p>A genetic risk score based on measured/imputed genotypes at 11 susceptibility SNPs, led to significant reclassification in the 10-y CHD risk categories. Additional prospective studies are needed to assess accuracy and clinical utility of such reclassification.</p> http://www.biomedcentral.com/1471-2261/11/66
collection DOAJ
language English
format Article
sources DOAJ
author Ding Keyue
Bailey Kent R
Kullo Iftikhar J
spellingShingle Ding Keyue
Bailey Kent R
Kullo Iftikhar J
Genotype-informed estimation of risk of coronary heart disease based on genome-wide association data linked to the electronic medical record
BMC Cardiovascular Disorders
author_facet Ding Keyue
Bailey Kent R
Kullo Iftikhar J
author_sort Ding Keyue
title Genotype-informed estimation of risk of coronary heart disease based on genome-wide association data linked to the electronic medical record
title_short Genotype-informed estimation of risk of coronary heart disease based on genome-wide association data linked to the electronic medical record
title_full Genotype-informed estimation of risk of coronary heart disease based on genome-wide association data linked to the electronic medical record
title_fullStr Genotype-informed estimation of risk of coronary heart disease based on genome-wide association data linked to the electronic medical record
title_full_unstemmed Genotype-informed estimation of risk of coronary heart disease based on genome-wide association data linked to the electronic medical record
title_sort genotype-informed estimation of risk of coronary heart disease based on genome-wide association data linked to the electronic medical record
publisher BMC
series BMC Cardiovascular Disorders
issn 1471-2261
publishDate 2011-11-01
description <p>Abstract</p> <p>Background</p> <p>Susceptibility variants identified by genome-wide association studies (GWAS) have modest effect sizes. Whether such variants provide incremental information in assessing risk for common 'complex' diseases is unclear. We investigated whether measured and imputed genotypes from a GWAS dataset linked to the electronic medical record alter estimates of coronary heart disease (CHD) risk.</p> <p>Methods</p> <p>Study participants (<it>n </it>= 1243) had no known cardiovascular disease and were considered to be at high, intermediate, or low 10-year risk of CHD based on the Framingham risk score (FRS) which includes age, sex, total and HDL cholesterol, blood pressure, diabetes, and smoking status. Of twelve SNPs identified in prior GWAS to be associated with CHD, four were genotyped in the participants as part of a GWAS. Genotypes for seven SNPs were imputed from HapMap CEU population using the program MACH. We calculated a multiplex genetic risk score for each patient based on the odds ratios of the susceptibility SNPs and incorporated this into the FRS.</p> <p>Results</p> <p>The mean (SD) number of risk alleles was 12.31 (1.95), range 6-18. The mean (SD) of the weighted genetic risk score was 12.64 (2.05), range 5.75-18.20. The CHD genetic risk score was not correlated with the FRS (<it>P </it>= 0.78). After incorporating the genetic risk score into the FRS, a total of 380 individuals (30.6%) were reclassified into higher-(188) or lower-risk groups (192).</p> <p>Conclusion</p> <p>A genetic risk score based on measured/imputed genotypes at 11 susceptibility SNPs, led to significant reclassification in the 10-y CHD risk categories. Additional prospective studies are needed to assess accuracy and clinical utility of such reclassification.</p>
url http://www.biomedcentral.com/1471-2261/11/66
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