Integration of curated databases to identify genotype-phenotype associations
2006

Identifying Genotype-Phenotype Associations in Microbes

Sample size: 1147 publication Evidence: moderate

Author Information

Author(s): Goh Chern-Sing, Gianoulis Tara A, Liu Yang, Li Jianrong, Paccanaro Alberto, Lussier Yves A, Gerstein Mark

Primary Institution: Yale University

Hypothesis

Can we systematically discover genotype-phenotype associations by integrating curated biological databases?

Conclusion

The study suggests that integrating biological databases can reveal new associations between microbial genotypes and phenotypes.

Supporting Evidence

  • 66% of associations found at a 0.8 correlation threshold were confirmed by literature.
  • 86% of associations found at a 0.9 correlation threshold were positively verified.
  • The method can detect known relationships and discover new ones.

Takeaway

The researchers combined two databases to find out how the genes of microbes relate to their traits, helping us understand them better.

Methodology

The study used correlation analysis between the presence of genes and phenotypic data from two databases.

Limitations

Not all assays were performed on all microbes, leading to some missing data.

Statistical Information

P-Value

p < 7.48 × 10^-6

Statistical Significance

p<0.01

Digital Object Identifier (DOI)

10.1186/1471-2164-7-257

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