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PGMapper: a web-based tool linking phenotype to genes.

Qing Xiong1, Yuhui Qiu, Weikuan Gu

  • 1Department of Orthopedic Surgery-Campbell Clinic, University of Tennessee Health Science Center, Memphis, TN 38163, USA. qxiong@utmem.edu

Bioinformatics (Oxford, England)
|January 22, 2008
PubMed
Summary
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PGMapper is a new software tool that automatically matches phenotypes to genes. This tool aids in identifying causative genes for diseases and quantitative traits, saving significant research time.

Area of Science:

  • Genomics
  • Bioinformatics
  • Computational Biology

Background:

  • Whole genome sequencing is increasingly available across species.
  • Traditional methods for gene identification can be time-consuming and require extensive data integration.
  • Identifying genes linked to specific phenotypes or diseases often involves large genomic regions or gene sets.

Purpose of the Study:

  • To develop an automated software tool for matching phenotypes to genes.
  • To facilitate the identification of causative genes for diseases and quantitative trait loci (QTLs).
  • To streamline the process of candidate gene discovery.

Main Methods:

  • PGMapper integrates mapping information from the Ensembl database.
  • It utilizes gene function information from the OMIM and PubMed databases.

Related Experiment Videos

  • The tool automatically matches phenotypes to genes within a specified genomic region or gene list.

    • Main Results:

    • PGMapper provides an automated solution for phenotype-to-gene mapping.
    • It simplifies the examination of gene functions by retrieving and integrating data from multiple sources.
    • The software supports candidate gene searches in humans, mice, rats, zebrafish, and 12 other species.

    Conclusions:

    • PGMapper significantly reduces the time and effort required for candidate gene identification.
    • The tool enhances the efficiency of genetic research by automating data retrieval and integration.
    • It is a valuable resource for researchers investigating genotype-phenotype relationships across various species.