ArticleNature2014
Another explanation for apparent epistasis.
Article in Nature, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 69 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
69 citing papers in PubMed.
- Phantom epistasis through the lens of genealogies.Genetics · 2026Article
- Interactions with polygenic background impact quantitative traits in the UK Biobank.medRxiv : the preprint server for health sciences · 2025Article
- A biobank-scale test of marginal epistasis reveals genome-wide signals of polygenic interaction effects.Nature genetics · 2025Article
- Concordance between male- and female-specific GWAS results helps define underlying genetic architecture of complex traits.Nature communications · 2025Article
- Sparse modeling of interactions enables fast detection of genome-wide epistasis in biobank-scale studies.American journal of human genetics · 2025Article
- Whole-genome sequencing analysis identifies rare, large-effect noncoding variants and regulatory regions associated with circulating protein levels.Nature genetics · 2025Article
- A scalable adaptive quadratic kernel method for interpretable epistasis analysis in complex traits.Genome research · 2024Article
- An approach to identify gene-environment interactions and reveal new biological insight in complex traits.Nature communications · 2024Article
- Detecting genetic effects on phenotype variability to capture gene-by-environment interactions: a systematic method comparison.G3 (Bethesda, Md.) · 2024Review
- Article
- A new Approach to Identify Gene-Environment Interactions and Reveal New Biological Insight in Complex traits.Research square · 2023Article
- Fast kernel-based association testing of non-linear genetic effects for biobank-scale data.Nature communications · 2023Article
- Leveraging the genetic correlation between traits improves the detection of epistasis in genome-wide association studies.G3 (Bethesda, Md.) · 2023Article
- Missing Causality and Heritability of Autoimmune Hepatitis.Digestive diseases and sciences · 2023Article
- Accurate prediction of quantitative traits with failed SNP calls in canola and maize.Frontiers in plant science · 2023Article
- Haplotype blocks for genomic prediction: a comparative evaluation in multiple crop datasets.Frontiers in plant science · 2023Article
- Whole genome sequencing reveals epistasis effects within RET for Hirschsprung disease.Scientific reports · 2022Article
- Mapping the genetic architecture of cortical morphology through neuroimaging: progress and perspectives.Translational psychiatry · 2022Review
- Characterization of heterosis and genomic prediction-based establishment of heterotic patterns for developing better hybrids in pigeonpea.The plant genome · 2021Article
- Phantom epistasis between unlinked loci.Nature · 2021Article
9 more citing papers are in PubMed but not listed here.
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Authors and funding
10 authors.
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Abstract
PubMed holds no abstract for this paper.
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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.