Correlation of single nucleotide polymorphisms in the pregnancy-associated plasma protein-A gene with carotid plaques

BMC Cardiovascular Disorders

Research Article

Rui Li¹  Jie Zhu¹  Min Cui¹  Shiming Zhou¹  Zegang Yin¹  Huadong Zhou¹ 

[1] Department of Neurology, Daping Hospital, Third Military Medical University, No. 10 Changjiang Branch Road, Daping, 400042, Chongqing, China;

关键词: Calcified plaque;    Carotid plaque;    Pregnancy-associated plasma protein A;    Single nucleotide polymorphisms;   

DOI  :  10.1186/s12872-015-0041-1

 received in 2014-05-18, accepted in 2015-05-22,  发布年份 2015

来源: Springer

【 摘 要 】

BackgroundPregnancy-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.MethodsA 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.ResultsThe 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).ConclusionsThis 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】

CC BY   
© Zhou et al. 2015