**40**wrote:

Good day,

I have 2 lists genes

1) Gene list A consists of ~500 differentially expressed genes (DEGs) from a microarray analysis

2) Gene list B is a list of 200 susceptibility genes drawn from various GWAS

I have performed pathway over-representation analysis (ORA) on each list using innateDB and found that there were ~150 and ~115 over-represented pathways involving genes from gene list A and B respectively. Now I wish to compare the 2 lists of over-represented pathways for possible overlap.

Using Venny, I have found that ~50 of them overlap but I understand that I also need to perform a statistical test to ensure that this overlap is not just due to chance. However, I am unsure of what statistical test I should perform and how I can go about doing so.

As part of the analysis of these gene lists, I have previously done a hypergeometric distribution test to check for overlap between the **genes** themselves, but I do not know if this same test can be applied to pathways and if so how should I go about doing it (i.e. I am unsure of how to define the parameters of the hypergeometric distribution test in this situation). I have also read some studies that use Fisher's method to combine the p-values and was wondering if this is the method I should be using.

Unfortunately I have no experience with R. Regardless, thank you for all your help!

Tl;dr: I have overlapped 2 pathway lists and found that they overlap but do not know what statistical test should be used to give evidence that these results are not due to chance.

Edit: I have also read this tread (Pathway Over-Representation Across Multiple Gene Lists) which relates to my question which states that it a suitable test may be a Fisher's F test. However, I don't understand the procedure I need to follow to get my desired p-value.

Look at this. It computes a hypergeometric distribution (and you don't need to use R). I think you will need the total number of pathways tested from innatedb.

3.7kHello, thanks for your reply!

Just to clarify, I have previously used this test to obtain the p-value for the overlap between the

genesthemselves in this way:Howeverat this moment in time I am actually more interested in at a test for testing the p-vale for overlapping pathways identified via pathway ORA. I was wondering if you were suggesting that the same test could be applied to pathways in the sense that:1) gene list A has 150

over-represented pathwaysderived from a database of x possible pathways2) gene list B has 115

over-represented pathwaysderived from the same databaseSince I have identified that there are 50 overlapping pathways, my test would be finding the probability of getting 50

or more''white balls'' in a sample of size 115 from an urn with 150 white balls and (x-150) black balls, assuming H0?Would the hypergeometric distribution test be valid/the best test in this situation?

EDIT: Rethinking this problem, would a Fisher's exact test work? I assume the 2x2 table would be:

# of significant GWAS pathways# of non-sig GWAS pathwayswhere x = total number of pathways possible in the innatedb database

40Yes, a Fisher's exact test would give you an exact p-value based on your contingency table. There is no difference between your first problem (overlap of input list of genes and genes of a particular pathway) and second problem (overlap of GWAS and DEG pathways).

Using chi-squared test or hypergeometric test is appropriate too but the input table to the software you are using might be different.

180Yes, I was actually referring to using the same test (hypergeometric) for pathways as well.

No, I would say a Fisher's test is not applicable to your data. I seriously doubt you can create a contingency table like the one you have shown. Technically it should be (but not possible with your data):

Groups (Down)/Outcomes (Right)SignificantNon-SignificantGWASGWAS_TotalDEGDEG_Total(like you have shown).You cannot have one group as column & the other as row3.7k@weeweedelivery123 have you figure out this problem? I have such problem.

I saw mehran.karimzade has confirmed your answer, but komal.rathi has not confirmed.

I appreciate if you reply.

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