ObjectiveBreast cancer (BC) is a common malignancy among women worldwide. Fibroblast
growth factor receptor 2 (FGFR2) rs2981582 is reported to play a vital role
in BC development. However, the relationship between them remains
unclear.MethodsNinety-five patients and 140 healthy controls were enrolled in the study.
Plasma DNA was genotyped by the MassARRAY method. A meta-analysis was
conducted to clarify the effect of FGFR2 polymorphism on BC risk.ResultsOur case-control study results revealed a significant difference in CC, TC,
and TT genotypes between patients and controls. Logistic regression analysis
showed that TT and TC genotype and the dominant mode were significantly
correlated with BC development [odds ratio (OR) = 1.21, 95% confidence
interval (CI): 1.050–2.27; OR = 1.81, 95% CI: 1.24–2.73; OR = 2.15, 95% CI:
1.25–5.31, respectively], even after adjusting for age, body weight,
drinking, smoking, and estrogen receptor status. A meta-analysis of 15
studies showed significant differences among the dominant, recessive,
heterozygote, and homozygote models between patients and controls.ConclusionsOur results showed an association of FGFR2 rs2981582 polymorphism with BC in
an Asian population. However, a more comprehensive study of the relationship
between the polymorphism and BC is still needed.
Background Postmenopausal osteoporosis (PMO) is the most common type of primary osteoporosis. ESR1 polymorphism rs2234693 and rs9340799 has been widely studied as a candidate gene associated with PMO, however, the findings were inconclusive. The present study aims to explore the relationship of ESR1 polymorphism rs2234693 and rs9340799 with PMO risk in a Chinese Han population. Methods A total of 230 unrelated PMO patients and 150 control were recruited. DNA of all participants was extracted from the peripheral blood samples and genotyped by Mass Array method. A meta-analysis of case control studies was also conducted to further elucidate the relationship of polymorphism with PMO. Results Our results revealed that there were no associations of the rs2234693 with PMO. However,GG genotype of rs9340799 was associated with a higher risk of PMO (OR=1.51, 95%CI:1.08-4.34, p=0.03), even adjusting for risk factors (OR=1.83, 95%CI: 1.12-5.04, p=0.04). Logistic regression analysis showed the dominant model was associated with a higher risk of PMO (OR = 2.07, 95%CI: 1.02-5.16, p=0.02) after correcting the risk factors (OR=2.14, 95%CI:1.12-5.64, p=0.04); In addition, the Meta-analysis results revealed that both two polymorphisms were not associated with PMO. Conclusion In conclusion,ESR1 polymorphism rs9340799 was associated with PMO, However, well designed study with larger sample sizes, is required to further elucidate these association.
Background: Postmenopausal osteoporosis (PMO) is the most common type of primary osteoporosis. ESR1 polymorphism rs2234693 and rs9340799 has been widely studied as a candidate gene associated with PMO, however, the findings were inconclusive. The present study aims to explore the relationship of ESR1 polymorphism rs2234693 and rs9340799 with PMO risk in a Chinese Han population. Methods: PMO patients and healthy controls were recruited from gynecology department. DNA of all participants were extracted from the peripheral blood samples and genotyped by Mass Array method. A meta-analysis of case control studies was also conducted to further elucidate the relationship of polymorphism with PMO. Results: Our results revealed that there were no associations of rs2234693 with PMO. However, GG genotype of rs9340799 was associated with a higher risk of PMO (OR = 1.51, 95%CI:1.08-4.34, p = 0.03), even adjusting for risk factors (OR = 1.83, 95%CI: 1.12-5.04, p = 0.04). Logistic regression analysis showed that dominant model was associated with a higher risk of PMO (OR = 2.07, 95%CI: 1.02-5.16, p = 0.02) after correcting the risk factors (OR = 2.14, 95%CI:1.12-5.64, p = 0.04); In addition, the Meta-analysis results revealed that both two polymorphisms were not associated with PMO. Conclusions: In conclusion, ESR1 polymorphism rs9340799 was associated with PMO. However, well designed studies with larger sample sizes are required to further elucidate the associations.
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