Migraine and breast cancer:a two-sample Mendelian randomization analysis
Objective To investigate the causal relationship between migraine and breast cancer and its subtypes.Methods A two-sample Mendelian randomization analysis was employed,using migraine-associat-ed genetic variants as instrumental variables and data from genome-wide association studies of breast cancer and its subtypes as outcome events.The inverse variance weighted method was primarily used,supplemented by MR-Egger and weighted median methods,to analyze the causal effect of migraine on the risk of breast cancer,estrogen receptor-positive breast cancer,and estrogen receptor-negative breast cancer.Heterogeneity tests,horizontal pleiotropy tests,and leave-one-out analyses were used to verify the reliability and stability of the re-sults.Results The inverse variance weighted method showed a positive causal association between migraine and breast cancer(OR=1.067,95％CI:1.016～1.120,P=0.009),as well as estrogen receptor-positive breast cancer(OR=1.060,95％CI:1.006～1.118,P=0.029).However,no causal association was found with estrogen receptor-negative breast cancer(OR=1.056,95％CI:0.974～1.146,P=0.189).Leave-one-out analysis demonstrated stable results,with no individual SNPs affecting the overall outcome and no evidence of horizontal pleiotropy.Conclusion There may be a positive causal relationship between migraine and breast cancer,specifically estrogen receptor-positive breast cancer.However,no causal relationship was observed with estrogen receptor-negative breast cancer.
Mendelian randomization analysismigrainebreast cancer
NETL
NSTL
万方数据
