Gene ontology enrichment analysis
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acram • 0
@70f6b727
Last seen 24 months ago
United States

Hi I am very new to this project and I am not sure How to interpret the gene enrichment analysis result. What does each column mean? See the picture in comment ```

rnaseq rnaseqGene geneontology • 2.3k views
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enter image description here

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@james-w-macdonald-5106
Last seen 5 hours ago
United States

The columns are, in order

  1. The GO ID
  2. The p-value for the hypergeometric test of over-representation
  3. The odds ratio. This isn't particularly useful IMO, but it's the odds of being significant, given that a gene is in the GO term, divided by the odds of not being significant, given the gene is in the term. A large value indicates that it's way more likely for a gene that is in a given GO term to be significant than not.
  4. The expected number of significant genes for the GO term, under the null distribution (e.g., for the first row in your table, we expect around five significant genes for that GO term if we randomly select N genes to be significant, where N is the number of significant genes you observed).
  5. The observed count of significant genes for the given GO term
  6. The total number of genes for that GO term
  7. The descriptive name for the GO term
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Further to the interpretation of the odds ratio. This comes from case/control studies, where you can set up a 2x2 table. So for example, you can do a study where you compare smokers to non-smokers and how many get lung cancer. The odds ratio in that context would compare the odds of getting lung cancer, given you are a smoker, to the odds of getting lung cancer for non-smokers. A large OR may indicate a relationship between lung cancer and smoking. In the context of a GO hypergeometric it's a less useful statistic, and mostly people just rely on the p-value.

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