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Article

Improved human disease candidate gene prioritization using mouse phenotype.

BMC bioinformatics - 16 Oct 2007

Chen Jing, Xu Huan, Aronow Bruce J, Jegga Anil G

Abstract excerpt

BACKGROUND: The majority of common diseases are multi-factorial and modified by genetically and mechanistically complex polygenic interactions and environmental factors. High-throughput genome-wide studies like linkage analysis and gene expression profiling, tend to be most useful for classification and characterization but do not provide sufficient information to identify or prioritize specific disease causal...

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Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

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Identifiers

PMID: 17939863
DOI: 10.1186/1471-2105-8-392
PMCID: PMC2194797

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PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026. Manifest publication-graph-cohort-2026-09-07.1.

Source receipt: pubmed, retrieved 7 Sept 2026.

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