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Has anybody tested if there is an over-representation of significant paralogous copies of genes -- either tandemly-arranged or in different chromosomes -- in the list of significantly associated genes in any of the recent genome-wide association studies?

For example, if a GWAS study finds 200 genes associated to the disease/trait, and a number X of those can be classified as belonging to Y different gene families, is there a test to see if X and Y are bigger than expected, given the total number of genes and gene paralogies in a genome? Here I am talking long established copies within a species, not CNVs in different individuals of the same species.

I am thinking there is an interesting question behind this: if a gene has duplicated during the evolution of a genome, and the different gene copies have taken specialized, yet related, roles, an unbiased analysis like GWAS should be able to find cases where different paralogous copies associate to different subdiseases/subtraits within the same global disease/trait.

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Hello. Could you help by clarifying your question? Do you want to know whether paralogous genes/regions are over-represented in GWAS hits? It is an interesting hypothesis - have you any ideas/references why this may be the case? It's always best to give as full and clear a question as possible. Thanks – Luke Jul 3 '12 at 14:25
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That is an interesting question (thanks for the expansion). If the paralogous genes were still functionally related there is likely to be redundancy between them, so a SNP in one of the copies may not manifest at all. A SNP that affects a sub-trait specific to one of the copies would need to have a massive effect (or the study would require a phenomonal sample size) to find it (unless it was a targeted study only on paralogous genes known to be disease related?). I don't know fo any studies, but will be interested in others answers! – Luke Jul 3 '12 at 15:19
Is a Fisher's exact test (a chi-squared test with more relaxed assumptions) something you've considered? – Atticus29 Feb 5 at 8:41

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