Candidate Gene Genotypes, Along with Conventional Risk Factor Assessment, Improve Estimation of Coronary Heart Disease Risk in Healthy UK Men | Zendy

Steve E. Humphries | Zendy; Jackie A. Cooper | Zendy; Philippa J. Talmud | Zendy; George J. Miller | Zendy

Open Access

Candidate Gene Genotypes, Along with Conventional Risk Factor Assessment, Improve Estimation of Coronary Heart Disease Risk in Healthy UK Men

Author(s) -

Steve E. Humphries,

Jackie A. Cooper,

Philippa J. Talmud,

George J. Miller

Publication year - 2006

Publication title -

clinical chemistry

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 1.705

H-Index - 218

eISSN - 1530-8561

pISSN - 0009-9147

DOI - 10.1373/clinchem.2006.074591

Subject(s) - genotype , coronary heart disease , risk factor , medicine , estimation , disease , framingham risk score , cardiology , gene , genetics , biology , engineering , systems engineering

One of the aims of cardiovascular genetics is to test the efficacy of the use of genetic information to predict cardiovascular risk. We therefore investigated whether inclusion of a set of common variants in candidate genes along with conventional risk factor (CRF) assessment enhanced coronary heart disease (CHD)-risk algorithms.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.

Having issues? You can contact us here

Accelerating Research