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Published on: October 12, 2017
Lipoprotein(a) molar concentrations rather than genetic variants better predict coronary artery disease risk and
Jie Li1,2, Ben Ma1,2, Qin Fang1,2
1Division of Cardiology, Department of Internal Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China.
Insights
Genetic variants in the LPA gene influence lipoprotein(a) [Lp(a)] levels in Chinese individuals. However, these variants do not reliably predict coronary artery disease (CAD) risk or severity.
Area of Science:
- Cardiovascular Genetics
- Molecular Epidemiology
- Biochemistry
Background:
- Elevated lipoprotein(a) [Lp(a)] is a known risk factor for coronary artery disease (CAD).
- Lp(a) levels exhibit significant genetic determination and population variability.
- Previous research on Lp(a) genetic variants has predominantly focused on Caucasian populations.
Purpose of the Study:
- To investigate the association between LPA genetic variants, Lp(a) concentrations, and CAD in a Han Chinese cohort.
- To evaluate the predictive value of LPA genetic variants for CAD incidence and severity.
Main Methods:
- Recruitment of 3779 patients undergoing coronary angiography.
- Quantification of LPA Kringle IV type 2 (KIV-2) copies using qPCR.
- Genotyping of fifteen single nucleotide polymorphisms (SNPs) within the LPA gene.
- Computation of an LPA genetic risk score (GRS) based on seven SNPs.
- Statistical analysis using linear and logistic regression models.
Main Results:
- Higher Lp(a) quartiles were significantly associated with increased odds of CAD, multivessel CAD, and high Gensini scores.
- Both LPA GRS and KIV-2 quartiles demonstrated significant associations with Lp(a) concentrations.
- After FDR correction, no significant associations were found between LPA genetic variants and CAD, multivessel CAD, or high Gensini scores.
Conclusions:
- LPA genetic variants demonstrably influence Lp(a) levels in the Han Chinese population.
- Lp(a) molar concentrations, rather than specific genetic variants, appear more critical for predicting CAD.
- Emphasizes the clinical importance of Lp(a) detection and management for cardiovascular risk assessment.
Background:
It is well established that increased lipoprotein(a) [Lp(a)] is a significant risk factor for coronary artery disease (CAD). Plasma Lp(a) levels are genetically determined and vary widely between different races, regions and individuals. However, most studies on Lp(a) associated genetic variants have focused on the Caucasian population currently. Our study aimed to test the associations among LPA genetic variants, Lp(a) concentrations, and CAD in a Han Chinese cohort.
Methods:
A total of 3779 patients undergoing coronary angiography were recruited from Tongji Hospital. LPA Kringle IV type 2 (KIV-2) copies were detected using TaqMan probe real-time quantitative polymerase chain reaction (qPCR) analysis and fifteen single nucleotide polymorphisms (SNPs) within the LPA gene were detected using TaqMan probe genotyping analysis. LPA genetic risk score (GRS) was computed based on seven SNPs associated with Lp(a). Associations of LPA genetic variants with Lp(a) and CAD were evaluated using linear regression analyses and Logistic regression analyses, respectively.
Results:
Compared with the first quartile of Lp(a), the fourth quartile exhibited a significant association with CAD [odds ratio (OR): 2.08, 95% confidence interval (CI): 1.67-2.59, p < 0.001], multivessel CAD [OR: 2.54, 95% CI: 2.06-3.12, p < 0.001], and high Gensini scores [OR: 2.17, 95% CI: 1.77-2.66, p < 0.001] after multivariable adjustment for cardiovascular risk factors. Both LPA GRS and KIV-2 quartiles were associated with Lp(a) concentrations (both p for trend < 0.001). However, after false discovery rate (FDR) correction, there were no significant associations of LPA genetic variants with CAD, multivessel CAD or high Gensini scores.
Conclusions:
Our findings indicate LPA genetic variants can affect Lp(a) levels, but do not exceed Lp(a) molar concentrations to predict CAD incidence and severity usefully, highlighting the importance of Lp(a) detection and management.
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