Frontiers in Genetics · 2021 · 36 citations · 32 references
Life SciencesGeneticsOncologyCancer EpidemiologyEpidemiologyGenetic EpidemiologyCancer RiskGenetic Risk AssessmentGenetic Risk FactorsGenome-wide Association StudiesMendelian RandomizationCancer Risk AssessmentCancer Risk AssociationGenetic Risk VariantsInverse Variance WeightingMeta-analysis Of Genetic Association StudiesMeta-analysis Of Genetic AssociationsSingle-nucleotide PolymorphismsTwo-sample Mendelian Randomization
The relationship between serum uric acid (UA) levels and cancer risk remains controversial. Here, a two-sample Mendelian randomization analysis was performed to identify a causal effect of serum UA levels on cancer risk. Twenty-six single nucleotide polymorphisms strongly associated with serum UA levels were screened as genetic variants from large-scale meta-analysis data of a genome-wide association study of 110,347 European individuals. Genetic associations with eight common site-specific cancers were subsequently explored. A total of six Mendelian randomization methods were used to estimate the potential effect of serum UA levels on cancer risk, including random effects inverse variance weighting, fix effects inverse variance weighting, MR-Egger, median weighting, mode weighting, and simple mode analysis. Our primary random effects inverse variance weighted analysis revealed that no significant associations with cancers was found (all p > 0.05). Sensitivity analyses and additional analyses also showed similar pooled results. In conclusion, no significant causality between serum UA levels and cancer risk was evidenced.
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The MR-Base platform supports systematic causal inference across the human phenome
Gibran Hemani, Jie Zheng, Benjamin Elsworth et al. · eLife · 2018 · 8.4K citations · Full text
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