cetp {bubbleHeatmap}

Associations of Nightingale Health Metabolomics Panel with a Cholesterol Esterase Transfer Protein Genetic Risk Score in China Kadoorie Biobank

Description

Example dataset containing association results of the 225 Nightingale metabolomics traits with a CETP Genetic Risk Score, scaled to 10-mg/dL higher levels of HDL-C.

Usage

cetp

Format

Data frame with 225 rows and 5 variables

trait

trait identifier as used in China Kadoorie Biobank, can be used to merge results with ntngale template datasets

estimate

association beta

stdErr

standard error of association estimate

pval

p-value of association

negLog10P

-log10(pval)

Details

The sample data included in this package represents associations between Nightingale metabolic measures and a genetic risk score (GRS) for Cholesterol Ester Transfer Protein (CETP) in the China Kadoorie Biobank (CKB), a prospective study of Chinese adults from 10 distinct areas of China. The full design of the CKB cohort and the methods and results of this study have been previously published.

CETP transfers esterified cholesterol from HDL to apolipoprotein B-containing lipoproteins in exchange for triglycerides. This process is a key component of the atheroprotective reverse cholesterol transport pathway, which modulates the return of excess cholesterol from peripheral cells such as macrophages to the liver, where it can be redistributed or excreted. Reduced CETP activity results in higher levels of HDL cholesterol (HDL-C), which has resulted in interest in CETP as a drug target due to the inverse correlation between HDL-C and risk of atherosclerotic disease. In this analysis, five CETP SNP variants were selected on the basis of previously reported associations with HDL cholesterol and CETP activity. Genotyping data for these variants and conventional lipid biochemistry measures were available for a subset of 17,854 CKB participants selected for a CVD case-control study. This data was used to generate a CETP GRS weighted by HDL-C association, derived internally with 100-fold cross-validation. The Nightingale Health metabolomics panel consisting of 225 metabolomics measures was available for 4657 of these individuals, and association with the GRS was assessed by linear regression with adjustment for age and sex, stratified by geographical region. In generation of the GRS and association of metabolomics, outcomes were standardized by rank inverse normal transformation, stratified by region, after adjustment for age and sex.

Source

Millwood IY, Bennett DA, Holmes MV et al. Association of CETP Gene Variants With Risk for Vascular and Nonvascular Diseases Among Chinese Adults. JAMA Cardiol. 2018 Jan 1;3(1):34-43.