Literature DB >> 30003933

Lipid-associated genetic polymorphisms are associated with FBP and LDL-c levels among myocardial infarction patients in Chinese population.

Yilan Li1, Lili Li1, Lei Bi2, Xueming Xu2, Wei Cheng2, Bo Yu1, Yao Zhang3.   

Abstract

AIMS: Recent genome-wide association studies (GWAS) have identified several single nucleotide polymorphisms (SNPs) that were associated with blood lipid levels in Europeans. However, little is known about such association in the Chinese populations. The present study was to determine the association of lipid levels susceptibility loci with the risk of China myocardial infarction (MI) patients.
METHODS: A total of 401 patients with MI and 409 controls were included in the study. Five SNPs (including HNF1A rs1169286 and rs2244608, C12orf43 rs2258287, LIPA rs2246833 and TRPS1 rs2293889) were selected using a tagging single nucleotide polymorphism (tSNP) strategy. The SNP genotyping work was performed using an improved multiplex ligation detection reaction (iMLDR) technique.
RESULTS: The subjects with rs1169286 CT genotype in MI cases had lower FBG levels than the subjects with rs1169286 CC/TT genotypes (P = 0.002). The subjects with rs2246833 TT genotype in MI patients had higher LDL-C levels than the subjects with rs2246833 CC/CT genotypes (P = 0.006). Several SNPs interacted with sex and age to modify TC, TG, LDL-C, CRE and FBG levels, and the risk of MI (P < 0.01 for all). However, our results disclosed no association between the SNPs and susceptibility to MI (P > 0.05 for all).
CONCLUSIONS: Taken together, this study provides additional evidence that functional genetic variation of the lipid related mutations can mediate atherogenic processes and the risk of MI in humans.
Copyright © 2018 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  C12orf43; Coronary artery disease; HNF1A; LIPA; Single nucleotide polymorphism; TRPS1

Mesh:

Substances:

Year:  2018        PMID: 30003933     DOI: 10.1016/j.gene.2018.07.016

Source DB:  PubMed          Journal:  Gene        ISSN: 0378-1119            Impact factor:   3.688


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