Inference of Gene-Phenotype Associations via Protein-Protein Interaction and Orthology

Panwen Wang, Wing Fu Lai, Mulin Jun Li, Feng Xu, Hari Krishna Yalamanchili, Robin Lovell-Badge, Junwen Wang

Research output: Contribution to journalArticlepeer-review

7 Scopus citations

Abstract

One of the fundamental goals of genetics is to understand gene functions and their associated phenotypes. To achieve this goal, in this study we developed a computational algorithm that uses orthology and protein-protein interaction information to infer gene-phenotype associations for multiple species. Furthermore, we developed a web server that provides genome-wide phenotype inference for six species: fly, human, mouse, worm, yeast, and zebrafish. We evaluated our inference method by comparing the inferred results with known gene-phenotype associations. The high Area Under the Curve values suggest a significant performance of our method. By applying our method to two human representative diseases, Type 2 Diabetes and Breast Cancer, we demonstrated that our method is able to identify related Gene Ontology terms and Kyoto Encyclopedia of Genes and Genomes pathways. The web server can be used to infer functions and putative phenotypes of a gene along with the candidate genes of a phenotype, and thus aids in disease candidate gene discovery. Our web server is available at http://jjwanglab.org/PhenoPPIOrth.

Original languageEnglish (US)
Article numbere77478
JournalPloS one
Volume8
Issue number10
DOIs
StatePublished - Oct 23 2013

ASJC Scopus subject areas

  • Biochemistry, Genetics and Molecular Biology(all)
  • Agricultural and Biological Sciences(all)
  • General

Fingerprint Dive into the research topics of 'Inference of Gene-Phenotype Associations via Protein-Protein Interaction and Orthology'. Together they form a unique fingerprint.

Cite this