ArticleAmerican journal of epidemiology2018
Diagnostics for Pleiotropy in Mendelian Randomization Studies: Global and Individual Tests for Direct Effects.
Article in American journal of epidemiology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 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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Who cites it
19 citing papers in PubMed, 25 citations in OpenAlex.
- Mendelian Randomization Uncovers Potential Repurposable Medications for Neuropsychiatric Disorders.Current neuropharmacology · 2026Article
- Association Between Multiple Plasma Toxic Metal and Metalloid Exposures and Hypertension in Elderly Chinese Adults.Biological trace element research · 2025Article
- The role of preeclampsia in breast cancer risk: insights from Mendelian randomization study.Discover oncology · 2025Article
- Phenotypic insights into genetic risk factors for immune-related adverse events in cancer immunotherapy.Cancer immunology, immunotherapy : CII · 2024Article
- Causal pathways in preeclampsia: a Mendelian randomization study in European populations.Frontiers in endocrinology · 2024Article
- The causality between use of glucocorticoids and risk of pancreatitis: a Mendelian randomization study.Frontiers in immunology · 2024Article
- Combining Mendelian randomization and network deconvolution for inference of causal networks with GWAS summary data.PLoS genetics · 2023Article
- Dissecting Polygenic Etiology of Ischemic Stroke in the Era of Precision Medicine.Journal of clinical medicine · 2022Review
- Germline-somatic JAK2 interactions are associated with clonal expansion in myelofibrosis.Nature communications · 2022Article
- Model checking via testing for direct effects in Mendelian Randomization and transcriptome-wide association studies.PLoS computational biology · 2021Article
- Incident disease associations with mosaic chromosomal alterations on autosomes, X and Y chromosomes: insights from a phenome-wide association study in the UK Biobank.Cell & bioscience · 2021Article
- Comparisons of simple and complex methods for quantifying exposure to individual point source air pollution emissions.Journal of exposure science & environmental epidemiology · 2021Article
- Transcriptome-wide association studies: a view from Mendelian randomization.Quantitative biology (Beijing, China) · 2021Article
- Polygenic Mendelian Randomization.Cold Spring Harbor perspectives in medicine · 2021Review
- Inferring causal direction between two traits in the presence of horizontal pleiotropy with GWAS summary data.PLoS genetics · 2020Article
- Genetically predicted telomere length is associated with clonal somatic copy number alterations in peripheral leukocytes.PLoS genetics · 2020Article
- Testing and controlling for horizontal pleiotropy with probabilistic Mendelian randomization in transcriptome-wide association studies.Nature communications · 2020Article
- Robust methods in Mendelian randomization via penalization of heterogeneous causal estimates.PloS one · 2019Article
- Invited Commentary: Detecting Individual and Global Horizontal Pleiotropy in Mendelian Randomization-A Job for the Humble Heterogeneity Statistic?American journal of epidemiology · 2018Article
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Authors and funding
16 authors at 12 institutions in 4 countries.
Funding
Abstract
Diagnosing pleiotropy is critical for assessing the validity of Mendelian randomization (MR) analyses. The popular MR-Egger method evaluates whether there is evidence of bias-generating pleiotropy among a set of candidate genetic instrumental variables. In this article, we propose a statistical method-global and individual tests for direct effects (GLIDE)-for systematically evaluating pleiotropy among the set of genetic variants (e.g., single nucleotide polymorphisms (SNPs)) used for MR. As a global test, simulation experiments suggest that GLIDE is nearly uniformly more powerful than the MR-Egger method. As a sensitivity analysis, GLIDE is capable of detecting outliers in individual variant-level pleiotropy, in order to obtain a refined set of genetic instrumental variables. We used GLIDE to analyze both body mass index and height for associations with colorectal cancer risk in data from the Genetics and Epidemiology of Colorectal Cancer Consortium and the Colon Cancer Family Registry (multiple studies). Among the body mass index-associated SNPs and the height-associated SNPs, several individual variants showed evidence of pleiotropy. Removal of these potentially pleiotropic SNPs resulted in attenuation of respective estimates of the causal effects. In summary, the proposed GLIDE method is useful for sensitivity analyses and improves the validity of MR.
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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.