ReviewCold Spring Harbor perspectives in medicine2022
Causal Inference with Genetic Data: Past, Present, and Future.
Review in Cold Spring Harbor perspectives in medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 1 of them a synthesis 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
14 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Positive and negative parenting practices and offspring disruptive behavior: A meta-analytic review of quasi-experimental evidence.Psychological bulletin · 2025Pooled it
- The causal effects of immune factors on sarcopenia-related phenotypes.European journal of applied physiology · 2026Article
- Targeting the Gut-Heart Axis in Atherosclerosis: Microbial Metabolites, Molecular Mechanisms, and Precision Therapeutics.Probiotics and antimicrobial proteins · 2026Review
- Causality Between Immune Cells, Metabolites and Breast Cancer: Mendelian Randomization and Mediation Analysis.Biochemical genetics · 2025Article
- The Causal Pivot: A structural approach to genetic heterogeneity and variant discovery in complex diseases.American journal of human genetics · 2025Article
- Multidrug Resistance and Virulence Traits ofAntibiotics (Basel, Switzerland) · 2025Article
- Mendelian randomization in the discovery of risk factors for autoimmune skin diseases: a bibliometric and visualized analysis.Archives of dermatological research · 2025Article
- Causal and common risk pathways linking childhood maltreatment to later intimate partner violence victimization.Research square · 2024Article
- Reframing sepsis immunobiology for translation: towards informative subtyping and targeted immunomodulatory therapies.The Lancet. Respiratory medicine · 2024Review
- Causal models and causal modelling in obesity: foundations, methods and evidence.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2023Review
- mGWAS-Explorer 2.0: Causal Analysis and Interpretation of Metabolite-Phenotype Associations.Metabolites · 2023Article
- Genetic nurture versus genetic transmission of risk for ADHD traits in the Norwegian Mother, Father and Child Cohort Study.Molecular psychiatry · 2023Article
- Research Review: How to interpret associations between polygenic scores, environmental risks, and phenotypes.Journal of child psychology and psychiatry, and allied disciplines · 2022Review
- Phenotypic Causal Inference Using Genome-Wide Association Study Data: Mendelian Randomization and Beyond.Annual review of biomedical data science · 2022Review
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.
Funding
Abstract
The set of methods discussed in this collection has emerged from the convergence of two scientific fields-genetics and causal inference. In this introduction, we discuss relevant aspects of each field and show how their convergence arises from the natural experiments that genetics offer. We present introductory concepts useful to readers unfamiliar with genetically informed methods for causal inference. We conclude that existing applications and foreseeable developments should ensure that we rapidly reap the rewards of this relatively new field, not only in terms of our understanding of human disease and development, but also in terms of tangible translational applications.
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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.