Recent methods for polygenic analysis of genome-wide data implicate an important effect of common variants on cardiovascular disease risk.
BMC Med Genet
; 12: 146, 2011 Oct 26.
Article
en En
| MEDLINE
| ID: mdl-22029572
ABSTRACT
BACKGROUND:
Traditional genome-wide association studies are generally limited in their ability explain a large portion of genetic risk for most common diseases. We sought to use both traditional GWAS methods, as well as more recently developed polygenic genome-wide analysis techniques to identify subsets of single-nucleotide polymorphisms (SNPs) that may be involved in risk of cardiovascular disease, as well as estimate the heritability explained by common SNPs.METHODS:
Using data from the Framingham SNP Health Association Resource (SHARe), three complimentary methods were applied to examine the genetic factors associated with the Framingham Risk Score, a widely accepted indicator of underlying cardiovascular disease risk. The first method adopted a traditional GWAS approach - independently testing each SNP for association with the Framingham Risk Score. The second two approaches involved polygenic methods with the intention of providing estimates of aggregate genetic risk and heritability.RESULTS:
While no SNPs were independently associated with the Framingham Risk Score based on the results of the traditional GWAS analysis, we were able to identify cardiovascular disease-related SNPs as reported by previous studies. A predictive polygenic analysis was only able to explain approximately 1% of the genetic variance when predicting the 10-year risk of general cardiovascular disease. However, 20% to 30% of the variation in the Framingham Risk Score was explained using a recently developed method that considers the joint effect of all SNPs simultaneously.CONCLUSION:
The results of this study imply that common SNPs explain a large amount of the variation in the Framingham Risk Score and suggest that future, better-powered genome-wide association studies, possibly informed by knowledge of gene-pathways, will uncover more risk variants that will help to elucidate the genetic architecture of cardiovascular disease.
Texto completo:
1
Bases de datos:
MEDLINE
Asunto principal:
Enfermedades Cardiovasculares
/
Estudio de Asociación del Genoma Completo
Tipo de estudio:
Etiology_studies
/
Prognostic_studies
Límite:
Female
/
Humans
/
Male
Idioma:
En
Revista:
BMC Med Genet
Asunto de la revista:
GENETICA MEDICA
Año:
2011
Tipo del documento:
Article
País de afiliación:
Estados Unidos