Discover Community Create You

Loading publication...

Noodle always counts identifier-free feature events for service operation. With your permission, Google Analytics can also estimate audience and engagement. Search text, publication identifiers, cookies, IP addresses and browser fingerprints are never included in Noodle's first-party event counters.

Privacy details

Article

Inferring the shape of global epistasis.

Proceedings of the National Academy of Sciences of the United States of America - 7 Aug 2018

Otwinowski Jakub, McCandlish David M, Plotkin Joshua B

Abstract excerpt

Genotype-phenotype relationships are notoriously complicated. Idiosyncratic interactions between specific combinations of mutations occur and are difficult to predict. Yet it is increasingly clear that many interactions can be understood in terms of global epistasis. That is, mutations may act additively on some underlying, unobserved trait, and this trait is then transformed via a nonlinear function to the...

Read the complete abstract on PubMed

Topics

Share this publication in a Topic to start or enrich a Post.

Share to Phenotype
Share to Epistasis, Genetic
Share to Evolution, Molecular

Methodology Data sources Editorial policy Privacy Delete account & data About Contact Helena Bioinformatics

Share to Genetic Fitness

Share to Genotype

Share to Models, Genetic

Share to Models, Statistical

Share to Nonlinear Dynamics

Source

Open in PubMed Open full text

Identifiers

PMID: 30037990
DOI: 10.1073/pnas.1804015115
PMCID: PMC6094095

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026. Manifest publication-graph-cohort-2026-09-08.1.

Source receipt: pubmed, retrieved 7 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence. Graph snapshot: 2026-09-29.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

Inferring the shape of global epistasis.PMID 30037990Read ↗

The simplicity of protein sequence-function relationships.Semantic proximity Read ↗

Physical Constraints on Epistasis.Semantic proximity Read ↗

Detecting High-Order Epistasis in Nonlinear Genotype-Phenotype Maps.Semantic proximity Read ↗

Genetic architecture of growth traits revealed by global epistatic interactions.Semantic proximity Read ↗

Epistasis in protein evolution.Semantic proximity Read ↗

Epistasis and evolution: recent advances and an outlook for prediction.Semantic proximity Read ↗

Molecular mechanisms of epistasis within and between genes.Semantic proximity Read ↗

Functional bottlenecks can emerge from non-epistatic underlying traits.Semantic proximity Read ↗

Analyzing High-Order Epistasis from Genotype-Phenotype Maps Using 'Epistasis' Package.Semantic proximity Read ↗

Epistatic drift in protein evolution.Semantic proximity Read ↗

Statistical analysis of mutational epistasis to reveal intramolecular interaction networks in proteins.Semantic proximity Read ↗

Leveraging the genetic correlation between traits improves the detection of epistasis in genome-wide association studies.Semantic proximity Read ↗

⌁Select a neighboring publication to make it the new centre.