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

Accurate and robust genomic prediction of celiac disease using statistical learning.

PLoS genetics - 1 Feb 2014

Abraham Gad, Tye-Din Jason A, Bhalala Oneil G, Kowalczyk Adam, Zobel Justin, Inouye Michael

Abstract excerpt

Practical application of genomic-based risk stratification to clinical diagnosis is appealing yet performance varies widely depending on the disease and genomic risk score (GRS) method. Celiac disease (CD), a common immune-mediated illness, is strongly genetically determined and requires specific HLA haplotypes. HLA testing can exclude diagnosis but has low specificity, providing little information suitable for...

Read the complete abstract on PubMed

Topics

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

Share to Alleles
Share to Biometry
Share to Celiac Disease

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Share to Genome, Human

Share to Genomics

Share to Haplotypes

Share to HLA Antigens

Source

Open in PubMed Open full text

Identifiers

PMID: 24550740
DOI: 10.1371/journal.pgen.1004137
PMCID: PMC3923679

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.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

Accurate and robust genomic prediction of celiac disease using statistical learning.PMID 24550740Read ↗

Genomic prediction of celiac disease targeting HLA-positive individualsSemantic proximity Read ↗

Genomic prediction of celiac disease targeting HLA-positive individualsSemantic proximity Read ↗

Improved HLA-based prediction of coeliac disease identifies two novel genetic interactions.Semantic proximity Read ↗

A single nucleotide polymorphism genetic risk score to aid diagnosis of coeliac disease: a pilot study in clinical care.Semantic proximity Read ↗

Genomic risk prediction of complex human disease and its clinical applicationSemantic proximity Read ↗

The genetics of celiac disease: A comprehensive review of clinical implications.Semantic proximity Read ↗

Large sample size, wide variant spectrum, and advanced machine-learning technique boost risk prediction for inflammatory bowel disease.Semantic proximity Read ↗

Predictive and Aetiological Potential of Polygenic Strata with Extreme and Moderate Disease Risks Predictions: <i>Case Study of Coeliac Disease GWAS</i>Semantic proximity Read ↗

Understanding Celiac Disease by Genomics.Semantic proximity Read ↗

Improved HLA-based prediction of coeliac disease identifies two novel HLA risk modifiers, DQ6.2 and DQ7.3Semantic proximity Read ↗

Comparative performances of machine learning methods for classifying Crohn Disease patients using genome-wide genotyping dataSemantic proximity Read ↗

Dense genotyping identifies and localizes multiple common and rare variant association signals in celiac disease.Semantic proximity Read ↗

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