2016
DOI: 10.1371/journal.pone.0166961
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Associations between XRCC1 Gene Polymorphisms and Coronary Artery Disease: A Meta-Analysis

Abstract: Genetic variations that influence DNA repair efficiency may contribute to coronary artery disease (CAD) susceptibility. Previous studies have investigated whether there was evidence of an association between polymorphisms at the X-ray repair cross complementing 1 (XRCC1) gene and susceptibility to CAD, but findings have been inconclusive. We identified eligible studies through a comprehensive literature search to determine whether an association exists between XRCC1 gene polymorphisms and CAD susceptibility. F… Show more

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Cited by 9 publications
(6 citation statements)
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“…Secondly, environmental factors may also affect relationship between PAI‐1 rs1799889 A/G polymorphism and PAI. Unfortunately, the majority of eligible publications only focused on genetic associations, so we could not estimate genetic‐environmental interactions in this meta‐analysis . Thirdly, this meta‐analysis was designed to assess associations between all PAI‐1 polymorphisms and VTE.…”
Section: Discussionmentioning
confidence: 99%
See 1 more Smart Citation
“…Secondly, environmental factors may also affect relationship between PAI‐1 rs1799889 A/G polymorphism and PAI. Unfortunately, the majority of eligible publications only focused on genetic associations, so we could not estimate genetic‐environmental interactions in this meta‐analysis . Thirdly, this meta‐analysis was designed to assess associations between all PAI‐1 polymorphisms and VTE.…”
Section: Discussionmentioning
confidence: 99%
“…Unfortunately, the majority of eligible publications only focused on genetic associations, so we could not estimate genetic-environmental interactions in this meta-analysis. 19 Thirdly, this meta-analysis was designed to assess associations between all PAI-1 polymorphisms and VTE. Nevertheless, only rs1799889 polymorphism was analyzed by us because no any other PAI-1 polymorphisms were studied by at least two different studies.…”
Section: Discussionmentioning
confidence: 99%
“…Firstly, our integrated analyses results were derived from unadjusted pooling of previous studies. Without access to raw data of eligible studies, we can only assess associations between GST null polymorphisms and the risk of CAD based on re-calculations of raw genotypic frequencies provided by eligible studies, and we need to admit that lack of further adjustment for baseline characteristics such as age, gender or co-morbid conditions may possibly influence reliability of our findings [21]. Secondly, environmental factors such as smoking status, eating habits or exercise levels may also influence associations between polymorphisms in GST null polymorphisms and the risk of CAD.…”
Section: Discussionmentioning
confidence: 99%
“…The current meta-analysis followed the Preferred Reporting Items for Systematic Reviews and Meta-analyses (PRISMA) checklist [ 20 22 ].…”
Section: Methodsmentioning
confidence: 99%