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

Mapping whole-organism genetic comorbidities across model Species using unified ontologies.

Genetics - 4 Apr 2026

Peaslee Caitlin, Held Madison, Fadial Eloise, Conrad Donald F

Abstract excerpt

Understanding how genetic variation contributes to organism-wide phenotypes is critical for identifying mechanisms of disease. Here, we present a computational approach to analyze whole-organism comorbidities associated with genes underlying non-obstructive azoospermia (NOA), the most severe form of male infertility. We curated 204 mouse genes with experimentally validated spermatogenic failure and mapped their...

Read the complete abstract on PubMed

Topics

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

Share to Caenorhabditis elegans
Share to Comorbidity
Share to Drosophila melanogaster

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Share to Gene Ontology

Share to Genetic Association Studies

Share to Infertility, Male

Share to Zebrafish

Source

Open in PubMed Open full text

Identifiers

PMID: 41664592
DOI: 10.1093/genetics/iyag038
PMCID: PMC13098149

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 8 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

Mapping whole-organism genetic comorbidities across model Species using unified ontologies.PMID 41664592Read ↗

Computational identification of disease models through cross-species phenotype comparison.Semantic proximity Read ↗

Systematic analysis, comparison, and integration of disease based human genetic association data and mouse genetic phenotypic information.Semantic proximity Read ↗

PhenoHM: human-mouse comparative phenome-genome server.Semantic proximity Read ↗

Linking human diseases to animal models using ontology-based phenotype annotation.Semantic proximity Read ↗

The Unified Phenotype Ontology (uPheno): A framework for cross-species integrative phenomicsSemantic proximity Read ↗

The Unified Phenotype Ontology : a framework for cross-species integrative phenomics.Semantic proximity Read ↗

How much do model organism phenotypes contribute to the computational identification of human disease genes?Semantic proximity Read ↗

Contribution of model organism phenotypes to the computational identification of human disease genes.Semantic proximity Read ↗

PhenoGO: an integrated resource for the multiscale mining of clinical and biological data.Semantic proximity Read ↗

Infertility etiologies are genetically and clinically linked with other diseases in single meta-diseasesSemantic proximity Read ↗

New approaches to the representation and analysis of phenotype knowledge in human diseases and their animal models.Semantic proximity Read ↗

Expanding and refining the Mammalian Phenotype Ontology to enhance disease model discovery.Semantic proximity Read ↗

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