ArticleGenetic epidemiology2017
Mendelian randomization with fine-mapped genetic data: Choosing from large numbers of correlated instrumental variables.
Article in Genetic epidemiology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 127 papers, 11 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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
127 citing papers in PubMed, 11 syntheses or guidelines pooled it, 217 citations in OpenAlex.
- Pooled it
- Genetic evidence for serum amyloid P component as a drug target in neurodegenerative disorders.Open biology · 2024Pooled it
- Mendelian Randomization Analysis of Genetic Proxies of Thiazide Diuretics and the Reduction of Kidney Stone Risk.JAMA network open · 2023Pooled it
- Appraising the causal relationship between plasma caffeine levels and neuropsychiatric disorders through Mendelian randomization.BMC medicine · 2023Pooled it
- SGLT2 Inhibition, Choline Metabolites, and Cardiometabolic Diseases: A Mediation Mendelian Randomization Study.Diabetes care · 2022Pooled it
- Therapeutic Targets for Heart Failure Identified Using Proteomics and Mendelian Randomization.Circulation · 2022Pooled it
- Endogenous DHEAS Is Causally Linked With Lumbar Spine Bone Mineral Density and Forearm Fractures in Women.The Journal of clinical endocrinology and metabolism · 2022Pooled it
- Identifying molecular mediators of the relationship between body mass index and endometrial cancer risk: a Mendelian randomization analysis.BMC medicine · 2022Pooled it
- Cholesteryl ester transfer protein (CETP) as a drug target for cardiovascular disease.Nature communications · 2021Pooled it
- Effects of tryptophan, serotonin, and kynurenine on ischemic heart diseases and its risk factors: a Mendelian Randomization study.European journal of clinical nutrition · 2020Pooled it
- Lipid lowering and Alzheimer disease risk: A mendelian randomization study.Annals of neurology · 2020Pooled it
- Mendelian randomization analysis of arsenic metabolism and pulmonary function within the Hispanic Community Health Study/Study of Latinos.Scientific reports · 2021Trial
- Longer lipids mark aging and constrain lifespan.Nature aging · 2026Article
- Valid Inference for Two Sample Summary Statistics Mendelian Randomization.Statistics in medicine · 2026Article
- Cross-population proteome-wide mendelian randomization study identifies likely causal proteins for cardiovascular diseases.Molecular genetics and genomics : MGG · 2026Article
- Causal effects of gestational hypertension on women's health: A Mendelian randomization analysis.International journal of gynaecology and obstetrics: the official organ of the International Federation of Gynaecology and Obstetrics · 2026Article
- Integrating immune-cell transcriptomic data with Mendelian randomisation reveals novel causal genes for type 2 diabetes and its complications.Diabetologia · 2026Article
- The Reciprocal Risk Relationship of Dental Caries with NAFLD and Liver Fibrosis: Combined Evidence from the NHANES Study and Mendelian Randomization Analysis.Oral health & preventive dentistry · 2026Article
- Cell type-stratified immunogenetic framework reveals immune drivers and therapeutic targets in kidney stone disease.Molecular therapy. Nucleic acids · 2026Article
- An integrative mendelian randomisation and drug mechanism framework for target prioritisation and therapeutic repurposing in major depression.Translational psychiatry · 2026Article
67 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
5 authors at 3 institutions in 1 country.
Funding
Abstract
Mendelian randomization uses genetic variants to make causal inferences about the effect of a risk factor on an outcome. With fine-mapped genetic data, there may be hundreds of genetic variants in a single gene region any of which could be used to assess this causal relationship. However, using too many genetic variants in the analysis can lead to spurious estimates and inflated Type 1 error rates. But if only a few genetic variants are used, then the majority of the data is ignored and estimates are highly sensitive to the particular choice of variants. We propose an approach based on summarized data only (genetic association and correlation estimates) that uses principal components analysis to form instruments. This approach has desirable theoretical properties: it takes the totality of data into account and does not suffer from numerical instabilities. It also has good properties in simulation studies: it is not particularly sensitive to varying the genetic variants included in the analysis or the genetic correlation matrix, and it does not have greatly inflated Type 1 error rates. Overall, the method gives estimates that are less precise than those from variable selection approaches (such as using a conditional analysis or pruning approach to select variants), but are more robust to seemingly arbitrary choices in the variable selection step. Methods are illustrated by an example using genetic associations with testosterone for 320 genetic variants to assess the effect of sex hormone related pathways on coronary artery disease risk, in which variable selection approaches give inconsistent inferences.
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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.