ArticleBioinformatics (Oxford, England)2021
An iterative approach to detect pleiotropy and perform Mendelian Randomization analysis using GWAS summary statistics.
Article in Bioinformatics (Oxford, England), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 39 papers, 2 of them syntheses that pooled it.
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Who cites it
39 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Aspirin Use and Risk of Alzheimer's Disease: A 2-Sample Mendelian Randomization Study.Journal of Alzheimer's disease : JAD · 2023Pooled it
- Genome-wide pleiotropy analysis identifies novel blood pressure variants and improves its polygenic risk scores.Genetic epidemiology · 2022Pooled it
- Recalibrating Mendelian randomization under winner's curse, sample structure and polygenicity.medRxiv : the preprint server for health sciences · 2026Article
- Article
- Immune-Mediated Gut-Lung Axis in IPF: Bidirectional Mendelian Randomization and Mediation Analysis of Microbiota, Inflammatory Proteins, and Metabolites.Endocrine, metabolic & immune disorders drug targets · 2026Article
- Genetic and neural mechanisms shared by schizophrenia and depression.Molecular psychiatry · 2025Article
- Efficient Mendelian randomization analysis with self-adaptive determination of sample structure and multiple pleiotropic effects.American journal of human genetics · 2025Article
- Disentangling horizontal and vertical Pleiotropy in genetic correlation estimation: introducing the HVP model.Human genetics · 2025Article
- Uncovering causal gene-tissue pairs and variants through a multivariate TWAS controlling for infinitesimal effects.Nature communications · 2025Article
- Decoding coffee's chlorogenic acid: genetic-network pharmacology insights on kidney stones.Urolithiasis · 2025Article
- A latent outcome variable approach for Mendelian randomization using the stochastic expectation maximization algorithm.Human genetics · 2025Article
- A multivariable cis-Mendelian randomization method robust to weak instrument bias and horizontal pleiotropy bias.Briefings in bioinformatics · 2025Article
- Assessing the Causal Association Between COVID-19 and Graves Disease: Mendelian Randomization Study.JMIR formative research · 2025Article
- Exploring estrogen-related mechanisms in ovarian carcinogenesis: association between bone mineral density and ovarian cancer risk in a multivariable Mendelian randomization study.Cancer causes & control : CCC · 2025Article
- HORNET: tools to find genes with causal evidence and their regulatory networks using eQTLs.Bioinformatics advances · 2025Article
- Uncovering causal gene-tissue pairs and variants: A multivariable TWAS method controlling for infinitesimal effects.medRxiv : the preprint server for health sciences · 2024Article
- Uncovering causal gene-tissue pairs and variants: A multivariable TWAS method controlling for infinitesimal effects.Research square · 2024Article
- A scoping review of statistical methods to investigate colocalization between genetic associations and microRNA expression in osteoarthritis.Osteoarthritis and cartilage open · 2024Article
- Exploring potential therapeutic targets for asthma: a proteome-wide Mendelian randomization analysis.Journal of translational medicine · 2024Article
- Estimation of a genetic Gaussian network using GWAS summary data.Biometrics · 2024Article
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4 authors.
Funding
Abstract
motivationThe overall association evidence of a genetic variant with multiple traits can be evaluated by cross-phenotype association analysis using summary statistics from genome-wide association studies. Further dissecting the association pathways from a variant to multiple traits is important to understand the biological causal relationships among complex traits.
resultsHere, we introduce a flexible and computationally efficient Iterative Mendelian Randomization and Pleiotropy (IMRP) approach to simultaneously search for horizontal pleiotropic variants and estimate causal effect. Extensive simulations and real data applications suggest that IMRP has similar or better performance than existing Mendelian Randomization methods for both causal effect estimation and pleiotropic variant detection. The developed pleiotropy test is further extended to detect colocalization for multiple variants at a locus. IMRP will greatly facilitate our understanding of causal relationships underlying complex traits, in particular, when a large number of genetic instrumental variables are used for evaluating multiple traits. AVAILABILITY AND IMPLEMENTATION: The software IMRP is available at https://github.com/XiaofengZhuCase/IMRP. The simulation codes can be downloaded at http://hal.case.edu/∼xxz10/zhu-web/ under the link: MR Simulations software. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.
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