Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
. 2010 Jan 21:3:1.
doi: 10.1186/1755-8794-3-1.

Systematic analysis, comparison, and integration of disease based human genetic association data and mouse genetic phenotypic information

Affiliations

Systematic analysis, comparison, and integration of disease based human genetic association data and mouse genetic phenotypic information

Yonqing Zhang et al. BMC Med Genomics. .

Abstract

Background: The genetic contributions to human common disorders and mouse genetic models of disease are complex and often overlapping. In common human diseases, unlike classical Mendelian disorders, genetic factors generally have small effect sizes, are multifactorial, and are highly pleiotropic. Likewise, mouse genetic models of disease often have pleiotropic and overlapping phenotypes. Moreover, phenotypic descriptions in the literature in both human and mouse are often poorly characterized and difficult to compare directly.

Methods: In this report, human genetic association results from the literature are summarized with regard to replication, disease phenotype, and gene specific results; and organized in the context of a systematic disease ontology. Similarly summarized mouse genetic disease models are organized within the Mammalian Phenotype ontology. Human and mouse disease and phenotype based gene sets are identified. These disease gene sets are then compared individually and in large groups through dendrogram analysis and hierarchical clustering analysis.

Results: Human disease and mouse phenotype gene sets are shown to group into disease and phenotypically relevant groups at both a coarse and fine level based on gene sharing.

Conclusion: This analysis provides a systematic and global perspective on the genetics of common human disease as compared to itself and in the context of mouse genetic models of disease.

PubMed Disclaimer

Figures

Figure 1
Figure 1
Venn Diagram analysis of individual GAD disease gene sets (circles) versus pathways (rectangles) produced from the corresponding gene set. All Venn Diagrams were produced with Venny http://bioinfogp.cnb.csic.es/tools/venny/index.html.
Figure 2
Figure 2
Human dendrogram comparison of 480 GAD disease gene sets based on gene sharing. The input GAD gene set file for this figure can be found in Table S6[46].
Figure 3
Figure 3
Mouse dendrogram comparison of 1056 mouse phenotype (MP) gene sets based on gene sharing. The input MP gene set file for this figure can be found in Table S7[47].

Similar articles

Cited by

References

    1. Eyre TA, Ducluzeau F, Sneddon TP, Povey S, Bruford EA, Lush MJ. The HUGO Gene Nomenclature Database, 2006 updates. Nucleic Acids Res. 2006. pp. D319–321. - DOI - PMC - PubMed
    1. Becker KG, Barnes KC, Bright TJ, Wang SA. The genetic association database. Nat Genet. 2004;36(5):431–432. doi: 10.1038/ng0504-431. - DOI - PubMed
    1. Lin BK, Clyne M, Walsh M, Gomez O, Yu W, Gwinn M, Khoury MJ. Tracking the epidemiology of human genes in the literature: the HuGE Published Literature database. Am J Epidemiol. 2006;164(1):1–4. doi: 10.1093/aje/kwj175. - DOI - PubMed
    1. Bult CJ, Eppig JT, Kadin JA, Richardson JE, Blake JA. The Mouse Genome Database (MGD): mouse biology and model systems. Nucleic Acids Res. 2008. pp. D724–728. - PMC - PubMed
    1. Hancock JM, Adams NC, Aidinis V, Blake A, Bogue M, Brown SD, Chesler EJ, Davidson D, Duran C, Eppig JT. Mouse Phenotype Database Integration Consortium: integration [corrected] of mouse phenome data resources. Mamm Genome. 2007;18(3):157–163. doi: 10.1007/s00335-007-9004-x. - DOI - PMC - PubMed

Publication types

LinkOut - more resources