Investigating the transparency of reporting in two-sample summary data Mendelian randomization studies
Background: Two-sample Mendelian randomization (2SMR) is an increasingly popular epidemiological method that uses genetic variants as instruments for making causal inferences. Clear reporting of methods employed in such studies is important for evaluating their underlying quality. However, the quality of methodological reporting of 2SMR studies is currently unclear. Objectives: We aimed to assess the reporting quality of studies that used MR-Base, one of the most popular platforms for implementing 2SMR analysis. Methods: We searched Web of Science Core Collection, PsycInfo, MEDLINE, EMBASE and citations listed in Google Scholar of the MR-Base descriptor paper for any published MR study that used MR-Base during any component of the MR analysis. Studies were screened by two independent reviewers. We created a bespoke reporting checklist to evaluate reporting quality of 2SMR studies. Information was extracted by at least two independent reviewers. Results: 87 studies were included in the primary analysis, of which 14 had at least 10 phenotypes. Reporting quality was generally poor with a mean of 53% (SD = 14%) of items reported in each study. Many items required for evaluating the validity of key assumptions made in MR were poorly reported: only 44% of studies provided sufficient details for assessing if the variant associates with the exposure ('relevance' assumption), 31% for the assessing if there are any variant-outcome confounders ('independence' assumption), 89% for the assessing if the variant causes the outcome independently of the exposure ('exclusion restriction' assumption), and 32% for assumptions of falsification tests. We found no evidence of a change in reporting over time and findings were similar in a random sample of MR studies that did not use the MR-Base platform. Discussion: The quality of reporting of two-sample Mendelian randomization studies in our sample was generally poor. Journals and researchers should implement the STROBE-MR guidelines to improve reporting quality. Other: Funding: ESRC, Regression: This study pre-registered on the OSF, and the protocol can be found at DOI 10.17605/OSF.IO/NFM27