ArticleNature communications2021
Simultaneous estimation of bi-directional causal effects and heritable confounding from GWAS summary statistics.
Article in Nature communications, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 57 papers, 2 of them syntheses that pooled it.
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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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Who cites it
57 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Genome-wide meta-analyses of restless legs syndrome yield insights into genetic architecture, disease biology and risk prediction.Nature genetics · 2024Pooled it
- Loneliness and depression: bidirectional mendelian randomization analyses using data from three large genome-wide association studies.Molecular psychiatry · 2023Pooled it
- New-Onset Type 2 Diabetes Mellitus and Cancer Risk: A Matched Cohort Study in China Kadoorie Biobank.International journal of cancer · 2026Article
- The Omnicausal Model Reveals the Highly Polyfactorial Nature of Complex Diseases.Genetic epidemiology · 2026Article
- Article
- METEOR: a data-adaptive Mendelian randomization method for powerful detection of shared and specific exposures underlying multiple outcomes.Briefings in bioinformatics · 2026Article
- Evaluating the causal effect of mitochondrial dysfunction on Alzheimer's disease and Parkinson's disease using polygenic risk scores and Mendelian randomization.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2026Article
- Estimating causal effects of C-reactive protein on disease and health outcomes using multivariable Mendelian randomization adjusting for heritable confounding.International journal of epidemiology · 2026Article
- Article
- LiMA: Robust inference of molecular mediation from summary statistics.American journal of human genetics · 2026Article
- Genome-wide analysis in over 1.6 million participants uncovers 147 loci associated with obstructive sleep apnoea.medRxiv : the preprint server for health sciences · 2025Article
- Measurement Error and Power in Family-Based Extensions to Mendelian Randomization.Behavior genetics · 2025Article
- Reassessing the link between adiposity and head and neck cancer: a Mendelian randomization study.eLife · 2025Article
- Evaluating the causal effect of mitochondrial dysfunction on Alzheimer's and Parkinson's disease using Polygenic Risk Scores and Mendelian Randomization.medRxiv : the preprint server for health sciences · 2025Article
- Efficient Mendelian randomization analysis with self-adaptive determination of sample structure and multiple pleiotropic effects.American journal of human genetics · 2025Article
- MR-link-2: pleiotropy robust cis Mendelian randomization validated in three independent reference datasets of causality.Nature communications · 2025Article
- Unveiling taurine's protective role in ischemic stroke: insights from bidirectional Mendelian randomization and LC-MS/MS analysis.Genes & nutrition · 2025Article
- A focusing framework for testing bi-directional causal effects in Mendelian randomization.Journal of the Royal Statistical Society. Series B, Statistical methodology · 2025Article
- The role of body image dissatisfaction in the relationship between body size and disordered eating and self-harm: complimentary Mendelian randomization and mediation analyses.Molecular psychiatry · 2025Article
- GWAShug: a comprehensive platform for decoding the shared genetic basis between complex traits based on summary statistics.Nucleic acids research · 2025Article
Corrections and comments
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Mendelian Randomisation (MR) is an increasingly popular approach that estimates the causal effect of risk factors on complex human traits. While it has seen several extensions that relax its basic assumptions, most suffer from two major limitations; their under-exploitation of genome-wide markers, and sensitivity to the presence of a heritable confounder of the exposure-outcome relationship. To overcome these limitations, we propose a Latent Heritable Confounder MR (LHC-MR) method applicable to association summary statistics, which estimates bi-directional causal effects, direct heritabilities, and confounder effects while accounting for sample overlap. We demonstrate that LHC-MR outperforms several existing MR methods in a wide range of simulation settings and apply it to summary statistics of 13 complex traits. Besides several concordant results with other MR methods, LHC-MR unravels new mechanisms (how disease diagnosis might lead to improved lifestyle) and reveals new causal effects (e.g. HDL cholesterol being protective against high systolic blood pressure), hidden from standard MR methods due to a heritable confounder of opposite effect direction.
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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.