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

Integrated methods to solve the biological basis of common diseases.

Methods (San Diego, Calif.) - 1 Dec 1997

Warden C H, Fisler J S

Abstract excerpt

Biological variations influence population variations of many common traits. Identification of the biological basis of many common diseases has been particularly difficult, but new reagents and analytical tools will greatly facilitate this process. The goal of this review is to discuss how to identify the biological basis of common traits by using mouse models. No single method will work for all traits....

Read the complete abstract on PubMed

Topics

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

Share to Chromosome Mapping
Share to Disease Models, Animal
Share to Genetic Diseases, Inborn

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Share to Genome

Share to Genotype

Share to Phenotype

Source

Identifiers

PMID: 9480781
DOI: 10.1006/meth.1997.0543

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 5 Sept 2026. Manifest publication-graph-cohort-2026-09-05.1.

Source receipt: pubmed, retrieved 5 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

Integrated methods to solve the biological basis of common diseases.PMID 9480781Read ↗

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

Genetic architecture of quantitative traits in mice, flies, and humans.Semantic proximity Read ↗

The expanded BXD family of mice: A cohort for experimental systems genetics and precision medicineSemantic proximity Read ↗

Harnessing the mouse to unravel the genetics of human disease.Semantic proximity Read ↗

Concordance between male- and female-specific GWAS results helps define underlying genetic architecture of complex traitsSemantic proximity Read ↗

High Throughput Computational Mouse Genetic AnalysisSemantic proximity Read ↗

Advances in mouse genetics for the study of human disease.Semantic proximity Read ↗

The mouse as a model for human biology: a resource guide for complex trait analysisSemantic proximity Read ↗

An integrated in silico gene mapping strategy in inbred mice.Semantic proximity Read ↗

The International Mouse Phenotyping Consortium (IMPC): a large-scale functional catalogue of mammalian genesSemantic proximity Read ↗

A high-resolution association mapping panel for the dissection of complex traits in mice.Semantic proximity Read ↗

The potential of integrating human and mouse discovery platforms to advance our understanding of cardiometabolic diseases.Semantic proximity Read ↗

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