Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
1
pubmed:dateCreated
2010-12-3
pubmed:abstractText
Several studies have investigated the associations between AURKA T91A polymorphism and the susceptibility to breast cancer, but the results have been inconclusive. To derive a more precise estimation of the relationship, a meta-analysis was performed. A total of 11 case-control studies, including 14,361 cases and 17,780 controls, were selected. Crude odds ratios (ORs) with 95% confidence intervals (CIs) were used to assess the strength of association in the additive model, dominant model, and recessive model. When all the studies were pooled into the meta-analysis, there was no evidence showing a significant association between AURKA T91A polymorphism and breast cancer risk (for additive model, OR = 0.839, 95% CI = 0.678-1.038; for dominant model: OR = 0.890, 95% CI = 0.757-1.074; and for recessive model: OR = 0.987, 95% CI = 0.963-1.012). In the subgroup analysis by ethnicity, significantly decreased risks were found for Asians (additive model, OR = 0.857, 95% CI = 0.742-0.991). When stratified by study design, no significant association was found between the polymorphism and breast cancer risk. In conclusion, this meta-analysis indicates that the AURKA T91A polymorphism is not a risk factor for developing breast cancer.
pubmed:commentsCorrections
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:chemical
pubmed:status
MEDLINE
pubmed:month
Jan
pubmed:issn
1573-7217
pubmed:author
pubmed:issnType
Electronic
pubmed:volume
125
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
175-9
pubmed:dateRevised
2011-9-1
pubmed:meshHeading
pubmed:year
2011
pubmed:articleTitle
Lack of an association between AURKA T91A polymorphisms and breast cancer: a meta-analysis involving 32,141 subjects.
pubmed:affiliation
Laboratory of Medical Genetics, Harbin Medical University, Baojian Road 157, Nangang District, Harbin 150081, China.
pubmed:publicationType
Journal Article, Research Support, Non-U.S. Gov't, Meta-Analysis