MRlapis an R-package to perform two-sample Mendelian Randomisation (MR) analyses using (potentially) overlapping samples, relying only on GWAS summary statistics. MR estimates can be subject to different types of biases due to the overlap between the exposure and outcome samples, the use of weak...
To prevent sample overlap, we used the GWAS summary data provided by the GSCAN that excludes UK Biobank (UKB) data. Those GWAS summary statistics were publicly accessible at https://doi.org/10.13020/przg-dp88. The IVs related to DED were obtained from a study published in the GWAS ...
To minimize sample-overlap and in this way ensure an unbiased two-sample setting, we restricted the exposure datasets to non-UK Biobank participants, whereas outcome datasets did not contain participants from the FinnGen study. Exposures The summary-level data regarding the RA phenotype were taken ...
1. At present, research shows that two-sample MR methods can be safely used for one-sample MR performed using data from large biobanks23. To assess potential overlap bias, we used an online tool (https://sb452.shinyapps.io/overlap/)24. The results showed that the bias of all groups ...
convertForTwoSampleMR.Rd create_dataset.Rd create_dataset_from_tibble.Rd create_metadata.Rd create_summary_set_from_lbf.Rd create_summaryset.Rd create_summaryset_from_gwasvcf.Rd create_summaryset_from_tibble.Rd dataset_to_hyprcoloc.Rd dimData-methods.Rd download_chainfile.Rd getAtt...
52 However, if sample overlap exists when using two-sample MR, some of the advantages will be potentially lost.53 We believed there was limited sample overlap between myopia and DR data, since the exposure GWASs were from the FinnGen study and the GERA cohort which included individuals from ...
Growing evidence suggests that relative carbohydrate intake affects depression; however, the association between carbohydrates and depression remains controversial. To test this, we performed a two-sample bidirectional Mendelian randomization (MR) analysis using genetic variants associated with relative carbohydra...
Mendelian randomisation (MR) uses genetic variation between individuals to investigate causal effects and may overcome some of the confounding issues inherent in many observational study designs.We used two-sample MR using data from unrelated individuals to estimate the effect of log occupational income ...
Two-sample MR Steiger method The two-sample MR Steiger method1,19 assumes that there is a causal relationship between the exposure and the trait and that the selected SNP is a valid instrument for one of them (but it is unknown for which one)1. A SNP is selected not only for its asso...
Two-sample MR was used to investigate the potential causal effect of DNAm variation at 42,659 CpG sites and glioma risk. For glioma risk there was MR evidence for 284 CpG-glioma effects that met the false discovery rate (FDR) correction threshold (< 0.05). MR results that met the FDR...