ReviewCell2016
Genotypic Context and Epistasis in Individuals and Populations.
Review in Cell, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 81 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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
81 citing papers in PubMed, 179 citations in OpenAlex.
- Inference of fitness landscapes with heterogeneous patterns of epistasis across sites.bioRxiv : the preprint server for biology · 2026Article
- On learning functions over biological sequence space: relating Gaussian process priors, regularization, and gauge fixing.Journal of mathematical biology · 2026Article
- Machine learning identifies novel signatures of antifungal drug resistance in Saccharomycotina yeasts.PLoS genetics · 2026Article
- Protein-protein interactions are a major source of epistasis in genetic interaction networks.Nature communications · 2026Article
- Inference and Visualization of Complex Genotype-Phenotype Maps.Molecular biology and evolution · 2026Article
- Environment-by-Environment Interactions Differ Across Genetic Backgrounds.Molecular biology and evolution · 2025Article
- Inference and visualization of complex genotype-phenotype maps withbioRxiv : the preprint server for biology · 2025Article
- Learning sequence-function relationships with scalable, interpretable Gaussian processes.bioRxiv : the preprint server for biology · 2025Article
- Article
- Genome-wide epistasis analysis reveals significant epistatic signals associated with Parkinson's disease risk.Brain : a journal of neurology · 2025Article
- Polygenic prediction and gene regulation networks.Royal Society open science · 2025Article
- Article
- Common genetic polymorphisms define one-carbon metabolite responses to different forms of choline in healthy adult males.Frontiers in nutrition · 2025Article
- The importance of epistasis in the evolution of viral pathogens.Virus evolution · 2025Review
- MDVarP: modifier ~ disease-causing variant pairs predictor.BioData mining · 2024Article
- Tissue-specific metabolic enzyme levels covary with whole-animal metabolic rates and life-history loci via epistatic effects.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2024Article
- The genetics of gaits in Icelandic horses goes beyond DMRT3, with RELN and STAU2 identified as two new candidate genes.Genetics, selection, evolution : GSE · 2023Article
- Factorizing polygenic epistasis improves prediction and uncovers biological pathways in complex traits.American journal of human genetics · 2023Article
- Idiosyncratic and dose-dependent epistasis drives variation in tomato fruit size.Science (New York, N.Y.) · 2023Article
- Genomic prediction in hybrid breeding: I. Optimizing the training set design.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2023Article
21 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
2 authors at 1 institution in 1 country.
Funding
Abstract
Genes encode components of coevolved and interconnected networks. The effect of genotype on phenotype therefore depends on genotypic context through gene interactions known as epistasis. Epistasis is important in predicting phenotype from genotype for an individual. It is also examined in population studies to identify genetic risk factors in complex traits and to predict evolution under selection. Paradoxically, the effects of genotypic context in individuals and populations are distinct and sometimes contradictory. We argue that predicting genotype from phenotype for individuals based on population studies is difficult and, especially in human genetics, likely to result in underestimating the effects of genotypic context.
Indexed as
Identifiers
What OpenQuestion holds
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.