Question: Subgroup significance testing
0
gravatar for pavenhuizen
3.8 years ago by
pavenhuizen70
pavenhuizen70 wrote:

Dear all,

I would like to ask your assistance with the following problem: I have a subgroup of genes which contain a certain motive and I would like to know if the presence of this motive significantly changes the expression of said genes. I have RNA-Seq data for a control (WT), and two over-expression and mutant lines.

So far I have came up with one approach, which I will outline below, but I'm uncertain if this is the correct approach and I would like to know if there are any other methods of finding the significance of my subgroup.

My planned approach is as follows:

  1. Obtain the significantly differentially expressed genes with edgeR, by comparing WT with the over-expression and mutant conditions.
  2. Divide the genes into three categories, based on the edgeR output. The categories are either +1, if a gene is significantly differentially expressed AND up-regulated, -1 if significantly differentially expressed AND down-regulated and 0 if not significant.
  3. Perform Chi-square analysis based on the categorized data, comparing the frequencies/percentages of the subgroup with the frequencies/percentages of all the genes (including those of the subgroup).
  4. Do bootstrapping analysis with replacement and get the one-sided p-value.

And that's about it. I don't have much experience in this kind of analysis and my statistics are not that strong, so please correct me if I made any mistakes or if you know of a better way of testing!

Thanks in advance for everyone taking the time to read this and to anyone who is willing/capable of helping me with my problem.

statistics rna-seq • 1.4k views
ADD COMMENTlink modified 3.8 years ago by ss9674520 • written 3.8 years ago by pavenhuizen70
0
gravatar for Benn
3.8 years ago by
Benn7.9k
Netherlands
Benn7.9k wrote:

I would suggest a hyper geometric test, such as done for gene set enrichment analysis (with GO terms).

ADD COMMENTlink written 3.8 years ago by Benn7.9k

Thank you for your quick response! Is it possible to do a hyper geometric test for two conditions, or should I do a two hyper geometric tests for each sample, one for only up-regulated genes and for down-regulated genes? Or alternatively just comparing the number of significantly differentially expressed genes against the others?

--- EDIT ---

I will try hyper geometric testing, but I was wondering if there is anything wrong with my proposed approach?

ADD REPLYlink modified 3.8 years ago • written 3.8 years ago by pavenhuizen70

You can do both ways. But the general approach is comparing number of differentially expressed genes.

ADD REPLYlink written 3.8 years ago by Naresh D J80

I don't see the point of using the chi-square test.

As you describe your experimental design, you want to know if your up or down regulated genes are significantly enriched with the motif (or up/down together). You can test these 3 cases separately with hyper geometric test.

So step 1 of your approach sounds good, then try the hyper geometric test. Good luck!

ADD REPLYlink written 3.8 years ago by Benn7.9k

Thank you! I'm working on it now

ADD REPLYlink written 3.8 years ago by pavenhuizen70
0
gravatar for ss967452
3.8 years ago by
ss9674520
ss9674520 wrote:

Valid investigations of whether an intervention works differently in different subgroups involve comparing the subgroups with each other. When there are only two subgroups the overlap of the confidence intervals of the summary estimates in the two groups can be considered.

 

http://www.aboutmsoffice.com/how-to-remove-a-formula-in-excel/

ADD COMMENTlink written 3.8 years ago by ss9674520
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