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Phenotype-genotype association grid: a convenient method for summarizing multiple association analyses.

Daniel Levy1, Steven R DePalma, Emelia J Benjamin

  • 1National Heart, Lung, and Blood Institute, Bethesda, MD, USA. levyd@nih.gov

BMC Genetics
|May 24, 2006
PubMed
Summary
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High-throughput genotyping generates complex data. The Phenotype-Genotype Association (PGA) grid offers an interactive visual tool to summarize and interpret numerous genetic association test results efficiently.

Area of Science:

  • Genetics
  • Bioinformatics
  • Computational Biology

Background:

  • High-throughput genotyping produces extensive data, challenging concise summarization.
  • Analyzing numerous genetic variants, phenotypes, models, and populations generates hundreds of statistical tests per SNP.
  • This complexity complicates result interpretation and pattern identification in genetic association studies.

Purpose of the Study:

  • To develop a method for visually displaying and summarizing large-scale genetic association test results.
  • To create an interactive tool for exploring complex genotype-phenotype relationships.

Main Methods:

  • Developed a Phenotype-Genotype Association (PGA) grid display.
  • Utilized a database-backed web server with an Oracle database and Tcl scripts on an AOLserver platform.

Related Experiment Videos

  • Generated interactive HTML pages using the ArsDigita Community System web toolkit.

    • Main Results:

    • The PGA grid facilitates visual summary of association tests between genetic loci and multiple phenotypes.
    • Interactive grids allow users to click cells for detailed summary data, including least squares means.
    • PGA grids can display results for single nucleotide polymorphism (SNP) associations, gene-environment interactions, and haplotype associations.

    Conclusions:

    • The interactive PGA grid is an adaptable and valuable display format for large-scale genetic studies.
    • This visualization tool can help mitigate publication bias and simplify the summarization of extensive association study findings.