| Literature DB >> 29141072 |
Iona Y Millwood1,2, Derrick A Bennett2, Michael V Holmes1,2,3, Ruth Boxall1,2, Yu Guo4, Zheng Bian4, Ling Yang1,2, Sam Sansome2, Yiping Chen1,2, Huaidong Du1,2, Canqing Yu4, Alex Hacker2, Dermot F Reilly5, Yunlong Tan4, Michael R Hill2, Junshi Chen4, Richard Peto2, Hongbing Shen6, Rory Collins2, Robert Clarke2, Liming Li7, Robin G Walters2, Zhengming Chen2.
Abstract
Importance: Increasing levels of high-density lipoprotein (HDL) cholesterol through pharmacologic inhibition of cholesteryl ester transfer protein (CETP) is a potentially important strategy for prevention and treatment of cardiovascular disease (CVD). Objective: To use genetic variants in the CETP gene to assess potential risks and benefits of lifelong lower CETP activity on CVD and other outcomes. Design, Setting, and Participants: This prospective biobank study included 151 217 individuals aged 30 to 79 years who were enrolled from 5 urban and 5 rural areas of China from June 25, 2004, through July 15, 2008. All participants had baseline genotype data, 17 854 of whom had lipid measurements and 4657 of whom had lipoprotein particle measurements. Median follow-up of 9.2 years (interquartile range, 8.2-10.1 years) was completed January 1, 2016, through linkage to health insurance records and death and disease registries. Exposures: Five CETP variants, including an East Asian loss-of-function variant (rs2303790), combined in a genetic score weighted to associations with HDL cholesterol levels. Main Outcomes and Measures: Baseline levels of lipids and lipoprotein particles, cardiovascular risk factors, incidence of carotid plaque and predefined major vascular and nonvascular diseases, and a phenome-wide range of diseases.Entities:
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Year: 2018 PMID: 29141072 PMCID: PMC5833522 DOI: 10.1001/jamacardio.2017.4177
Source DB: PubMed Journal: JAMA Cardiol Impact factor: 14.676
Selected Baseline Characteristics of the Study Population
| Characteristic | Data |
|---|---|
| Age, mean (SD), y | 52.3 (10.9) |
| Female, No. (%) | 88 361 (58.4) |
| Urban area, No. (%) | 63 447 (42.0) |
| Educational attainment >6 y, No. (%) | 30 018 (19.9) |
| Income >20 000 yuan/y, No. (%) | 60 936 (40.3) |
| Disease history, No. (%) | |
| Hypertension | 18 731 (12.4) |
| CHD | 4534 (3.0) |
| Stroke or transient ischemic attack | 2358 (1.6) |
| Diabetes | 5145 (3.4) |
| Medication use, No. (%) | |
| Antihypertensives | 7616 (5.0) |
| Statins | 332 (0.2) |
| Regular smoking, No. (%) | 40 634 (26.9) |
| Regular alcohol consumption, No. (%) | 22 742 (15.0) |
| Physical activity, mean (SD), MET-h/d | 20.7 (13.9) |
| Systolic blood pressure (SD), mm Hg | 132.5 (22.1) |
| Standing height, mean (SD), cm | 158.6 (82.8) |
| Body mass index, mean (SD) | 23.6 (3.4) |
| Waist circumference, mean (SD), cm | 80.2 (9.9) |
| Random plasma glucose level, mean (SD),
mg/dL | 109.9 (43.2) |
| Lipid and lipoprotein levels, mean (SD) | |
| HDL cholesterol | 47.7 (11.5) |
| LDL cholesterol | 91.4 (27.4) |
| Total cholesterol | 180.0 (38.3) |
| Lipoprotein(a) | 1.04 (1.31) |
| Apolipoprotein A1 | 134.1 (22.3) |
| Apolipoprotein B | 83.8 (21.2) |
| Triglycerides, median (IQR) | 139.8 (95.6-211.5) |
Abbreviations: CHD, coronary heart disease; CVD, cardiovascular disease; HDL, high-density lipoprotein; IQR, interquartile range; LDL, low-density lipoprotein; MET, metabolic task equivalent.
SI conversion factors: To convert cholesterol to millimoles per liter, multiply by 0.0259; glucose to millimoles per liter, multiply by 0.0555; lipoprotein(a) to micromoles per liter, multiply by 0.0357; lipoproteins A1 and B to grams per liter, multiply by 0.01; and triglycerides to millimoles per liter, multiply by 0.0113.
One yuan equals US $0.15.
Calculated as weight in kilograms divided by height in meters squared.
Measured in 148 693 individuals.
Measured by clinical biochemistry in a selected subset of 17 854 individuals with incident CVD and control individuals with no history of CVD at baseline and not using statin treatment. Unless otherwise indicated, data are reported as milligrams per deciliter.
Figure 1. Associations of rs2303790 and a CETP Genetic Score With Lipids and Lipoproteins Measured by Clinical Biochemical Analysis
The association of rs2303790 and a CETP genetic score (consisting of rs3764261, rs1800775, rs708272, rs9939224, and rs2303790) with rank inverse normal transformation–standardized traits measured by clinical biochemical analysis in a subset of 17 854 individuals was scaled to 10-mg/dL higher levels of high-density lipoprotein (HDL) cholesterol. Findings were adjusted for sex and age and stratified by study area. Further adjustment for time since the last meal or cardiovascular disease case or control status had no appreciable effect on the associations. Squares represent the associations in standard deviations of each trait. Error bars represent the corresponding 95% CIs. P values are not adjusted for multiple testing. To convert cholesterol to millimoles per liter, multiply by 0.0259; lipoprotein(a) to micromoles per liter, multiply by 0.0357; lipoproteins A1 and B to grams per liter, multiply by 0.01; and triglycerides to millimoles per liter, multiply by 0.0113. LDL indicates low-density lipoprotein.
Figure 2. Associations of rs2303790 and a CETP Genetic Score With Lipoprotein Particle Composition Measured by Proton Nuclear Magnetic Resonance (NMR) Metabolomics
The association of rs2303790 and a CETP genetic score (consisting of rs3764261, rs1800775, rs708272, rs9939224, and rs2303790) with rank inverse normal transformation–standardized traits measured by NMR metabolomics was scaled to 10-mg/dL higher levels of high-density lipoprotein (HDL) cholesterol. Findings were adjusted for sex and age and stratified by study area. NMR measurements were performed for 4657 individuals, but data for these analyses were available for 4422 to 4652 participants after exclusions for missing data for individual traits and genotypes. Squares represent the associations in standard deviations of each trait. Error bars represent the corresponding 95% CIs. P values were calculated after Bonferroni adjustment for 18 principal components among the 225 measured NMR traits. VLDL indicates very low-density lipoprotein.
aData are presented as the ratio of cholesterol esters to total lipids in lipoprotein particle subtypes.
bData are presented as the ratio of triglycerides to total lipids in lipoprotein particle subtypes.
Figure 3. Associations of rs2303790 and a CETP Genetic Score With Vascular Diseases
The association of rs2303790 and a CETP genetic score (consisting of rs3764261, rs1800775, rs708272, rs9939224, and rs2303790) with vascular diseases was scaled to 10-mg/dL higher levels of high-density lipoprotein cholesterol. Findings were adjusted for sex and age and stratified by study area. Squares represent the odds ratio (OR) with area inversely proportional to the variance of the logarithm OR. Error bars represent the corresponding 95% CIs. P values in the plot are not adjusted for multiple testing, but Bonferroni adjustment for 8 outcomes would result in a threshold of P < .0063 (.05/8).
Figure 4. Associations of rs2303790 and a CETP Genetic Score With Nonvascular Diseases
The association of rs2303790 and a CETP genetic score (consisting of rs3764261, rs1800775, rs708272, rs9939224, and rs2303790) with nonvascular diseases was scaled to 10-mg/dL higher levels of high-density lipoprotein cholesterol. Findings were adjusted for sex and age and stratified by study area. Squares represent the odds ratio (OR) with area inversely proportional to the variance of the logarithm OR. Error bars represent the corresponding 95% CIs. P values in the plot are not adjusted for multiple testing, but Bonferroni adjustment for 7 outcomes would result in a threshold of P < .0071 (.05/7).