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

Immunochip Analyses of Epistasis in Rheumatoid Arthritis Confirm Multiple Interactions within MHC and Suggest Novel Non-MHC Epistatic Signals.

The Journal of rheumatology - 1 May 2016

Wei Wen-Hua, Loh Chia-Yin, Worthington Jane, Eyre Stephen

Abstract excerpt

OBJECTIVE: Studying statistical gene-gene interactions (epistasis) has been limited by the difficulties in performance, both statistically and computationally, in large enough sample numbers to gain sufficient power. Three large Immunochip datasets from cohort samples recruited in the United Kingdom, United States, and Sweden with European ancestry were used to examine epistasis in rheumatoid arthritis (RA)....

Read the complete abstract on PubMed

Topics

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

Share to Arthritis, Rheumatoid
Share to Databases, Genetic

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Share to Epistasis, Genetic

Share to Genetic Predisposition to Disease

Share to Genotype

Share to Major Histocompatibility Complex

Share to Polymorphism, Single Nucleotide

Share to Quantitative Trait Loci

Source

Identifiers

PMID: 26879349
DOI: 10.3899/jrheum.150836

Genes

PTPN22

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 6 Sept 2026. Manifest publication-graph-cohort-2026-09-06.1.

Source receipt: pubmed, retrieved 6 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

Immunochip Analyses of Epistasis in Rheumatoid Arthritis Confirm Multiple Interactions within MHC and Suggest Novel Non-MHC Epistatic Signals.PMID 26879349Read ↗

Supervised machine learning and logistic regression identifies novel epistatic risk factors with PTPN22 for rheumatoid arthritis.Semantic proximity Read ↗

Epistasis within the MHC contributes to the genetic architecture of celiac diseaseSemantic proximity Read ↗

Evidence for gene-gene epistatic interactions among susceptibility loci for systemic lupus erythematosus.Semantic proximity Read ↗

Major histocompatibility complex harbors widespread genotypic variability of non-additive risk of rheumatoid arthritis including epistasis.Semantic proximity Read ↗

Analysis of Gene-Gene Interactions.Semantic proximity Read ↗

Epistasis and immunity: the role of genetic interactions in autoimmune diseases.Semantic proximity Read ↗

Atlas of epistasisSemantic proximity Read ↗

An exhaustive epistatic SNP association analysis on expanded Wellcome Trust data.Semantic proximity Read ↗

Using biological networks to search for interacting loci in genome-wide association studies.Semantic proximity Read ↗

Epi2Loc: an R package to investigate two-locus epistatic models.Semantic proximity Read ↗

A systematic analysis of gene-gene interaction in multiple sclerosisSemantic 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.