ReviewGenetic epidemiology2023
Statistical methods for cis-Mendelian randomization with two-sample summary-level data.
Review in Genetic epidemiology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 103 papers, 4 of them syntheses that pooled it.
What it found
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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.
The trial behind it
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
103 citing papers in PubMed, 4 syntheses or guidelines pooled it, 156 citations in OpenAlex.
- Pooled it
- Mendelian Randomization Analysis of Genetic Proxies of Thiazide Diuretics and the Reduction of Kidney Stone Risk.JAMA network open · 2023Pooled it
- Lowering of Circulating Sclerostin May Increase Risk of Atherosclerosis and Its Risk Factors: Evidence From a Genome-Wide Association Meta-Analysis Followed by Mendelian Randomization.Arthritis & rheumatology (Hoboken, N.J.) · 2023Pooled it
- Gut microbiota and Sjögren's syndrome: a two-sample Mendelian randomization study.Frontiers in immunology · 2023Pooled it
- The Compatibility of Astragali Radix and Angelicae Sinensis Radix Attenuates Atherosclerosis by Suppressing Vascular Endothelial PANoptosis via the p38 MAPK/p53 Pathway: A Multi-Omics and Experimental Study.International journal of molecular sciences · 2026Article
- Proteome-wide Mendelian randomisation of lung function to identify potential therapeutic targets for respiratory disease.ERJ open research · 2026Article
- Genome-wide association study identifies toll-like receptor four protein-mediated metabolic remodelling affecting gout pathogenesis.Journal of global health · 2026Observational
- Identifying druggable proteins of the association of chronotype on breast cancer using Mendelian randomization.Communications medicine · 2026Article
- Integration of single-cell cis-expression quantitative trait locus and Mendelian randomization analyses identifies a Treg-specific gene for precision therapy in rheumatoid arthritis, gonarthrosis, and gouty arthritis.The Journal of international medical research · 2026Article
- Artificial Sweeteners and Autoimmune Diseases: Insights From Integrative Bioinformatics and Mendelian Randomization.Food science & nutrition · 2026Article
- Drug targets for lipid modification and risk of type 2 diabetes: a cis-Mendelian randomization study.Cardiovascular diabetology · 2026Article
- Integrating genetic data with biological insight: A practical guide to cis-Mendelian randomization.American journal of human genetics · 2026Review
- Proteome-wide Mendelian randomization identifies protein associations and therapeutic targets for B-cell malignancy.Blood neoplasia · 2026Article
- Combining xQTL and genome-wide association studies from diverse populations improves druggable gene discovery.Nature communications · 2026Article
- Cerebrospinal fluid metabolites and their association with female reproductive disorders: insights from mendelian randomization.Journal of ovarian research · 2026Article
- Article
- Unravelling the molecular mechanisms causal to type 2 diabetes across global populations and disease-relevant tissues.Nature metabolism · 2026Article
- Integrated multi-omics reveals the ITGB2-IL2RB-NK axis in promoting papillary thyroid carcinoma progression and immune microenvironment crosstalk.Discover oncology · 2026Article
- Integrated Bioinformatics and Experimental Validation Reveal Fuzheng Yi'ai Formula Induces Immunogenic Cell Death Via the PERK-eIF2α-ATF4 Pathway for Prostate Cancer Treatment.Biological procedures online · 2026Article
- Immune Cell-Specific Regulatory Gene Prioritization in Low Back Pain Using Single-Cell eQTL-Informed Mendelian Randomization and Colocalization.Journal of pain research · 2026Article
43 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors at 1 institution in 1 country.
Funding
Abstract
Mendelian randomization (MR) is the use of genetic variants to assess the existence of a causal relationship between a risk factor and an outcome of interest. Here, we focus on two-sample summary-data MR analyses with many correlated variants from a single gene region, particularly on cis-MR studies which use protein expression as a risk factor. Such studies must rely on a small, curated set of variants from the studied region; using all variants in the region requires inverting an ill-conditioned genetic correlation matrix and results in numerically unstable causal effect estimates. We review methods for variable selection and estimation in cis-MR with summary-level data, ranging from stepwise pruning and conditional analysis to principal components analysis, factor analysis, and Bayesian variable selection. In a simulation study, we show that the various methods have comparable performance in analyses with large sample sizes and strong genetic instruments. However, when weak instrument bias is suspected, factor analysis and Bayesian variable selection produce more reliable inferences than simple pruning approaches, which are often used in practice. We conclude by examining two case studies, assessing the effects of low-density lipoprotein-cholesterol and serum testosterone on coronary heart disease risk using variants in the HMGCR and SHBG gene regions, respectively.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.