ArticleScientific reports2021
Effect of selection bias on two sample summary data based Mendelian randomization.
Article in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
22 citing papers in PubMed.
- Potential circadian rhythm-related pathogenic genes in diabetic nephropathy: a multi-omics Mendelian randomization study.Renal failure · 2026Article
- Checking Genetic Homogeneity Between Two Samples Using Summary Statistics With Application to Mendelian Randomization.Statistics in medicine · 2026Article
- Bidirectional causal association between cathepsins and neuropsychiatric disorders: univariate and multivariate Mendelian randomization study.European archives of psychiatry and clinical neuroscience · 2026Article
- Physical activity, sedentary behaviour, and exocrine and endocrine pancreatic diseases: results from a prospective cohort study and Mendelian randomization.Gastroenterology report · 2026Article
- Unveiling Epigenetic Molecular Mechanisms in Bone Fracture Risk: Insights From 731 Immune Cells, 1400 Metabolites, and Critical Genetic Pathways.Mediators of inflammation · 2026Article
- Investigating the association between GLP-1 receptor agonists and mood disorders: A study integrating real-world data and Mendelian randomization.European psychiatry : the journal of the Association of European Psychiatrists · 2025Article
- The role of circadian rhythm-related genes in type 2 diabetes from a multi-omics perspective.Journal of global health · 2025Article
- Assessing the influence of plasma metabolites on chronic skin ulcer risk: a two-sample Mendelian randomization study.Scientific reports · 2025Article
- SMR-guided molecular subtyping and machine learning model reveals novel prognostic biomarkers and therapeutic targets in non-small cell lung adenocarcinoma.Scientific reports · 2025Article
- Powerful Test of Heterogeneity in Two-Sample Summary-Data Mendelian Randomization.Statistics in medicine · 2024Article
- Ischemic Postconditioning Regulates New Cell Death Mechanisms in Stroke: Disulfidptosis.Biomolecules · 2024Article
- Association between circulating immune cells and the risk of prostate cancer: a Mendelian randomization study.Frontiers in endocrinology · 2024Article
- The impact of obesity on lung function measurements and respiratory disease: A Mendelian randomization study.Annals of human genetics · 2023Article
- Combining Mendelian randomization and network deconvolution for inference of causal networks with GWAS summary data.PLoS genetics · 2023Article
- Article
- Robust inference of bi-directional causal relationships in presence of correlated pleiotropy with GWAS summary data.PLoS genetics · 2022Article
- Estimation of Causal Effect of Age at Menarche on Pubertal Height Growth Using Mendelian Randomization.Genes · 2022Article
- Mendelian Randomization Analysis Identified Potential Genes Pleiotropically Associated with Polycystic Ovary Syndrome.Reproductive sciences (Thousand Oaks, Calif.) · 2022Article
- Combining the strengths of inverse-variance weighting and Egger regression in Mendelian randomization using a mixture of regressions model.PLoS genetics · 2021Article
- Constrained maximum likelihood-based Mendelian randomization robust to both correlated and uncorrelated pleiotropic effects.American journal of human genetics · 2021Article
Corrections and comments
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Authors and funding
2 authors.
Funding
Abstract
Mendelian randomization (MR) is becoming more and more popular for inferring causal relationship between an exposure and a trait. Typically, instrument SNPs are selected from an exposure GWAS based on their summary statistics and the same summary statistics on the selected SNPs are used for subsequent analyses. However, this practice suffers from selection bias and can invalidate MR methods, as showcased via two popular methods: the summary data-based MR (SMR) method and the two-sample MR Steiger method. The SMR method is conservative while the MR Steiger method can be either conservative or liberal. A simple and yet more powerful alternative to SMR is proposed.
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Registered trials
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