ReviewCold Spring Harbor perspectives in medicine2021
Causal Inference Methods to Integrate Omics and Complex Traits.
Review in Cold Spring Harbor perspectives in medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 1 of them a synthesis that pooled it.
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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
16 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Genetically Predicted Apolipoprotein E Levels with the Risk of Panvascular Diseases: A Mendelian Randomization Study.Cardiovascular toxicology · 2024Pooled it
- Toward A Pre-disease State-centered New Paradigm in Multi-omics Research.Genomics, proteomics & bioinformatics · 2026Article
- Multi-Omics-Guided Design and Safety Engineering of Nucleic Acid Therapeutics: From Molecular Perturbation to Predictive Toxicology and Precision Translation.Chemical biology & drug design · 2026Review
- Integrative Genomics Identifies Candidate Genes Underlying Trypanotolerance in Hybrid African Cattle.Evolutionary applications · 2026Article
- The causal integration ladder: a multilevel evidence framework for therapeutic target evaluation in cervical cancer.Frontiers in systems biology · 2026Article
- Can classical statistics and deep learning converge on explainable, causally driven target discovery?DNA research : an international journal for rapid publication of reports on genes and genomes · 2025Review
- Deep learning-based polygenic scores enhance generalizability of psychiatric disorders prediction.medRxiv : the preprint server for health sciences · 2025Article
- Diabetes and tuberculosis: a systematic review and meta-analyis of mendelian randomization evidence.Diabetology & metabolic syndrome · 2025Review
- Prediction of causal genes at GWAS loci with pleiotropic gene regulatory effects using sets of correlated instrumental variables.PLoS genetics · 2024Article
- Article
- mGWAS-Explorer 2.0: Causal Analysis and Interpretation of Metabolite-Phenotype Associations.Metabolites · 2023Article
- From pharmacogenetics to pharmaco-omics: Milestones and future directions.HGG advances · 2022Review
- Causal Inference with Genetic Data: Past, Present, and Future.Cold Spring Harbor perspectives in medicine · 2022Review
- Mendelian Randomization: Concepts and Scope.Cold Spring Harbor perspectives in medicine · 2022Review
- Triangulating Evidence through the Inclusion of Genetically Informed Designs.Cold Spring Harbor perspectives in medicine · 2021Review
- Computational Tools for Causal Inference in Genetics.Cold Spring Harbor perspectives in medicine · 2021Review
Corrections and comments
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Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Major biotechnological advances have facilitated a tremendous boost to the collection of (gen-/transcript-/prote-/methyl-/metabol-)omics data in very large sample sizes worldwide. Coordinated efforts have yielded a deluge of studies associating diseases with genetic markers (genome-wide association studies) or with molecular phenotypes. Whereas omics-disease associations have led to biologically meaningful and coherent mechanisms, the identified (non-germline) disease biomarkers may simply be correlates or consequences of the explored diseases. To move beyond this realm, Mendelian randomization provides a principled framework to integrate information on omics- and disease-associated genetic variants to pinpoint molecular traits causally driving disease development. In this review, we show the latest advances in this field, flag up key challenges for the future, and propose potential solutions.
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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.