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Cycling has been suggested to be related to risk of all-cause and cardiovascular disease (CVD) mortality. However, a quantitative comprehensive assessment of the dose-response association of cycling with risk of all-cause and CVD mortality has not been reported. We performed a meta-analysis of cohort studies assessing the risk of all-cause and CVD mortality with cycling. PubMed and Embase databases were searched for relevant articles published up to December 13, 2019. Random-effects models were used to estimate the summary relative risk

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ults. Gene set enrichment analysis (GSEA) has been widely used to identify gene sets with statistically significant difference between cases and controls against a large gene set. GSEA needs both phenotype labels and expression of genes. However, gene expression are assessed more often for model organisms than minor species. Also, importantly gene expression are not measured well under specific conditions for human, due to high risk of direct experiments, such as non-approved treatment or gene knockout, and then often substituted by mouse