Literature-Based Genetic Risk Scores for Coronary Heart Disease
Author(s) -
Anika A. M. Vaarhorst,
Yingchang Lu,
Bastiaan T. Heijmans,
Martijn E.T. Dollé,
Stefan Böhringer,
Hein Putter,
Sandra Imholz,
Audrey H. H. Merry,
Marleen M. J. van Greevenbroek,
J. Wouter Jukema,
Anton P.M. Gorgels,
Piet A. van den Brandt,
Michael Müller,
Leo J. Schouten,
Edith J. M. Feskens,
Jolanda M.A. Boer,
P. Eline Slagboom
Publication year - 2012
Publication title -
circulation cardiovascular genetics
Language(s) - English
Resource type - Journals
eISSN - 1942-325X
pISSN - 1942-3268
DOI - 10.1161/circgenetics.111.960708
Subject(s) - single nucleotide polymorphism , genome wide association study , medicine , hazard ratio , snp , confidence interval , cohort , lasso (programming language) , minor allele frequency , proportional hazards model , oncology , genetics , genotype , biology , world wide web , gene , computer science
Genome-wide association studies (GWAS) have identified many single-nucleotide polymorphisms (SNPs) associated with coronary heart disease (CHD) or CHD risk factors (RF). Using a case-cohort study within the prospective Cardiovascular Registry Maastricht (CAREMA) cohort, we tested if genetic risk scores (GRS) based on GWAS-identified SNPs are associated with and predictive for future CHD.
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