A genome wide association study on lipoprotein(a) levels and coronary artery disease severity in a Chinese population.
Liu Y, Ma H, Zhu Q et al.
Publication Details
Comprehensive information about this research publication
Abstract
Summary of the research findings
Lipoprotein (a) [Lp(a)] is a genetically determined risk factor of coronary artery disease (CAD). Previous genome-wide association studies (GWASs), which were mostly carried out in Caucasians, have identified many Lp(a)-associated SNPs. Here, we performed a GWAS on Lp(a) levels and further explored the relationships between Lp(a)-associated SNPs and CAD severity in 1,403 Han Chinese subjects. We observed that elevated Lp(a) levels were significantly associated with the increased synergy between percutaneous coronary intervention with TAXUS and cardiac surgery (SYNTAX) score and the counts of heavily calcified lesions and long-range lesions (LRLs; P < 0.05), which are defined as lesions spanning >20 mm. Moreover, we identified four independent SNPs, namely, rs7770628, rs73596816, and rs6926458 in LPA, and rs144217738 in SLC22A2, that were significantly associated with Lp(a) levels. We also found that rs7770628 was associated with high SYNTAX scores [odds ratio (OR) (95% CI): 1.37 (1.05-1.80), P = 0.0213, false discovery rate (FDR) = 0.0852], and that rs7770628 and rs73596816 were associated with high risk of harboring LRLs [OR (95% CI): 1.53 (1.17-2.01), P = 0.0018, FDR = 0.0072 and 1.72 (1.19-2.49), P = 0.0040, FDR = 0.0080, respectively]. Our study was a large-scale GWAS to identify Lp(a)-associated variants in the Han Chinese population. Our findings highlight the importance and potential of Lp(a) intervention and expand our understanding of CAD prevention and treatment.
1,402 Han Chinese ancestry individuals
Study Statistics
Key metrics and study information
AI-Generated Summary
AI-generated by DNAGENICSIndependent AI summary of health and genetic findings from the published study
Important: This summary is AI-generated by DNAGENICS for informational purposes only. It was not created by, affiliated with, or endorsed by the researchers behind the original publication, and is based solely on that published research. It may contain errors or omissions. DNAGENICS disclaims all liability for any inaccuracies or consequences arising from use of this information. Verify all information against the original publication. This is not professional scientific review or medical advice.
AI Summary In Progress
Our AI-generated summary of this publication is being prepared. Please check back soon.