期刊论文详细信息
BMC Cardiovascular Disorders
Correlation of single nucleotide polymorphisms in the pregnancy-associated plasma protein-A gene with carotid plaques
Huadong Zhou1  Jie Zhu1  Rui Li1  Zegang Yin1  Min Cui1  Shiming Zhou1 
[1] Department of Neurology, Daping Hospital, Third Military Medical University, No. 10 Changjiang Branch Road, Daping, Chongqing 400042, China
关键词: Single nucleotide polymorphisms;    Pregnancy-associated plasma protein A;    Carotid plaque;    Calcified plaque;   
Others  :  1216791
DOI  :  10.1186/s12872-015-0041-1
 received in 2014-05-18, accepted in 2015-05-22,  发布年份 2015
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【 摘 要 】

Background

Pregnancy-associated plasma protein A (PAPP-A) is abundantly expressed in carotid plaques. This study investigated the association between single nucleotide polymorphisms (SNPs) of PAPP-A and the presence of carotid plaques.

Methods

A total of 408 patients with carotid plaques and 493 controls were included in the study. All subjects were Southern Chinese Han. Carotid plaques were analyzed by computer tomography angiography. PAPP-A SNPs were identified by ligase detection reaction-polymerase chain reaction analysis. The PAPP-A genotypes rs3747823, rs7020782, and rs13290387 were analyzed.

Results

The rs7020782 C allele genotype correlated with an increased risk of developing carotid plaques under the dominant, recessive, and additive models (adjusted odds ratios: 2.60, 2.36, and 3.48, respectively; P ≤ 0.001). Only C allele-carrying genotypes correlated with a significantly increased risk of carotid plaque based on studies stratified by age and sex under the dominant model. rs7020782 remained significantly associated with the risk of carotid plaque calcification after adjusting for age and potential confounders (adjusted odds ratio, 1.89; 95 % confidence interval, 1.17–3.08; P = 0.010).

Conclusions

This study found, for the first time, that the A˃C variation of rs7020782 might be an independent risk factor for carotid plaque development and calcification. The determination of such genotypes could provide a new tool for identifying individuals at high risk for carotid atherosclerosis.

【 授权许可】

   
2015 Zhou et al.

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