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

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

Genes and immunity - 1 Apr 2010

Briggs F B S, Ramsay P P, Madden E, Norris J M, Holers V M, Mikuls T R, Sokka T, Seldin M F, Gregersen P K, Criswell L A, Barcellos L F

Abstract excerpt

Investigating genetic interactions (epistasis) has proven difficult despite the recent advances of both laboratory methods and statistical developments. With no 'best' statistical approach available, combining several analytical methods may be optimal for detecting epistatic interactions. Using a...

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 Artificial Intelligence
Share to Epistasis, Genetic

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Share to Genome-Wide Association Study

Share to Logistic Models

Share to Protein Tyrosine Phosphatase, Non-Receptor Type 22

Share to Risk Assessment

Share to Siblings

Source

Open in PubMed Open full text

Identifiers

PMID: 20090771
DOI: 10.1038/gene.2009.110
PMCID: PMC3118040

Genes

PTPN22
CDH13
CEP72
WFDC1

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 2 Sept 2026. Prepared record publication-20090771-2026-09-02.2. Manifest publication-graph-cohort-2026-09-02.2.

Source receipt: PubMed via Helena Literature Corpus, retrieved 2 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

Supervised machine learning and logistic regression identifies novel epistatic risk factors with PTPN22 for rheumatoid arthritis.PMID 20090771Read ↗

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

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

Epistasis amongst PTPN2 and genes of the vitamin D pathway contributes to risk of juvenile idiopathic arthritis.Semantic proximity Read ↗

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

Genome-wide association study of rheumatoid arthritis in the Spanish population: KLF12 as a risk locus for rheumatoid arthritis susceptibility.Semantic proximity Read ↗

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

SNPInterForest: a new method for detecting epistatic interactions.Semantic proximity Read ↗

GenEpi: Gene-based Epistasis Discovery Using Machine LearningSemantic proximity Read ↗

Epistasis Analysis: Classification Through Machine Learning Methods.Semantic proximity Read ↗

A knowledge-based method for association studies on complex diseases.Semantic proximity Read ↗

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

A large-scale rheumatoid arthritis genetic study identifies association at chromosome 9q33.2.Semantic proximity Read ↗

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