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Eigenstrat for 3 subpopulations #66
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I'm not sure about your needs but if you want to understand the
structure
smartpca
1) Will tell you about population differentiation along PCA axes
2) Calculates F_st
If you are trying to do a GWAS eigenstrat seems to already meet your needs.
I suspect I need a clear description about what you are trying to do.
Nick
…On Sun, Jun 6, 2021 at 7:01 AM tahseen-igib ***@***.***> wrote:
Hi
I have a list of SNPs from 3 subpopulations pairwise association tests
(1vs2 ,2vs3, 1vs3) that i need to check for population stratification.I
have PC1-10 values for all the 3 subpopulations taken together.
However,in eigenstrat we have to define case-control to samples for
chi-square test which in my case i have only for 2 subpopulations at a time.
Is it technically correct to take PC1-10 for 2 subgroups at a time and do
the correction using eigenstrat?
Kindly suggest
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Hi Nick I have a deep phenotyped exome data that is subgrouped into 3 subpopulations based on some phenotypes.I am trying to understand genetic differences between those groups. Initially i have done PCA (using smartPCA) for complete population (all 3 groups included). I hope i am able to give u clear description of my problem Thanks |
Please send me email. This thread is not of general interest.
N
…On Sun, Jun 6, 2021 at 11:17 AM tahseen-igib ***@***.***> wrote:
Hi Nick
I have a deep phenotyped exome data that is subgrouped into 3
subpopulations based on some phenotypes.I am trying to understand genetic
differences between those groups. Initially i have done PCA (using
smartPCA) for complete population (all 3 groups included).
I have done aasociation test (fisher's exact test) by taking pair of
groups at a time (1vs2,2vs3,1vs3).Each pairwise comparison has given me a
list of significant SNPs.I want to filter out SNPs that have come due to
population stratification and are not true signals.
For this i looked for Eigenstrat that will give chi-square corrected p
value (correction for stratification by providing it PC components).& this
needs our samples to be defined as case-control.
But in my case, i have got SNPs from paired group at a time & my PCs are
representative of complete population (all 3 groups), my query is while
doing eigenstrat for 1vs2 group SNPs (my case control will be 1 & 2 group)
can i eliminate PCs from 3rd group??
I hope i am able to give u clear description of my problem
Thanks
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Sure.I have sent u mail at nickp@broadinstitute.org. |
Hi
I have a list of SNPs from 3 subpopulations pairwise association tests (1vs2 ,2vs3, 1vs3) that i need to 8000 check for population stratification.I have PC1-10 values for all the 3 subpopulations taken together.
However,in eigenstrat we have to define case-control to samples for chi-square test which in my case i have only for 2 subpopulations at a time.
Is it technically correct to take PC1-10 for 2 subgroups at a time and do the correction using eigenstrat?
Kindly suggest
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