Affiliation:
1. School of Public Health, Hangzhou Medical College, Hangzhou, China
2. Key Laboratory of Pollution Exposure and Health Intervention of Zhejiang Province, Shulan International Medical College, Zhejiang Shuren University, Hangzhou, China
Abstract
ObjectiveInconsistent results were reported on the association of physical activity with ovarian cancer. However, given the limitations of confounders and inverse causation, the validity of the association remained unclear. Therefore, we conducted a two-sample Mendelian randomization analysis, which can effectively avoid the aforementioned interference, to evaluate whether physical activity had a protective effect on ovarian cancer.MethodsThe exposure of interest was physical activity (both self-reported moderate-to-vigorous physical activity and accelerometer-measured physical activity). Summary statistics for physical activity traits were recruited from the UK Biobank ( n = 91,084–377,234), whereas ovarian cancer summary genetic data were obtained from a genome-wide association study involving 25,509 cases and 40,941 healthy individuals. The inverse variance weighted approach was used as the primary Mendelian randomization method. Sensitivity analyses using Mendelian randomization-Egger regression, weighted median, and Mendelian randomization pleiotropy residual sum and outlier were also performed.ResultsThe Mendelian randomization analyses indicated that there was no effect of moderate-to-vigorous physical activity (odds ratio, 1.11; 95% confidence interval: 0.66–1.85; P = 0.702), accelerometer-measured “average acceleration” (0.99 [0.91–1.08]; P = 0.848), and “overall activity” physical activity (0.97 [ 0.48–1.95]; P = 0.927) on the risk of overall ovarian cancer. However, “overall accelerations” physical activity (0.18 [0.05–0.64]; P = 0.008) were suggestively related to a lower risk of endometrioid ovarian cancer.ConclusionsThe Mendelian randomization analyses suggested that physical activity may not help to decrease the risk of overall ovarian cancer.
Subject
Health Information Management,Computer Science Applications,Health Informatics,Health Policy
Cited by
1 articles.
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