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PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
2
pubmed:dateCreated
2010-8-11
pubmed:abstractText
There are increasing evidences that HSD17B1 plays a significant role in the development of breast cancer. However, published data on the association between HSD17B1 Ser312Gly polymorphism and breast cancer risk are inconclusive. In order to derive a more precise estimation of this relationship, a meta-analysis including 9 studies with 31,053 subjects was performed in this study. Crude ORs with 95% CIs were used to assess the strength of association between HSD17B1 Ser312Gly polymorphism and breast cancer risk. The pooled ORs were performed for codominant model (Gly/Gly versus Ser/Ser, Gly/Ser versus Ser/Ser), dominant model (Gly/Gly + Gly/Ser versus Ser/Ser), and recessive model (Gly/Gly versus Gly/Ser + Ser/Ser), respectively. Overall, no significant associations were detected between HSD17B1 Ser312Gly polymorphism and breast cancer susceptibility. However, in the stratified analysis by ethnicity, significant associations were observed in Caucasians for Gly/Gly versus Ser/Ser (OR = 0.91; 95% CI 0.83-1.00), Gly/Ser versus Ser/Ser (OR = 0.92; 95% CI 0.85-0.99), and Gly/Gly + Gly/Ser versus Ser/Ser (OR = 0.92; 95% CI 0.86-0.98). In conclusion, this study suggests that HSD17B1 312Gly allele may be a protective factor for breast cancer development in Caucasians. However, large sample and representative population-based studies with homogeneous breast cancer patients and well-matched controls are warranted to confirm this finding.
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:chemical
pubmed:status
MEDLINE
pubmed:month
Sep
pubmed:issn
1573-7217
pubmed:author
pubmed:issnType
Electronic
pubmed:volume
123
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
577-80
pubmed:meshHeading
pubmed:year
2010
pubmed:articleTitle
The association between HSD17B1 Ser312Gly polymorphism and breast cancer risk: a meta-analysis including 31,053 subjects.
pubmed:affiliation
State Key Laboratory of Genetic Engineering, Institute of Genetics, School of Life Sciences, Fudan University, Shanghai, People's Republic of China.
pubmed:publicationType
Journal Article, Research Support, Non-U.S. Gov't, Meta-Analysis