Different methodology in microbiome-GWAS
Hi,
I just wonder if somebody in this forum has already used MiRKAT R package for microbiome-GWAS.
There are GEMMA, microbiome GWAS in this context but by Linux. As MiRKAT documentation is very hard to understand, my question is if this is my microbiom
Acaryochloris Achromobacter Acidiphilium Acidisphaera
Sample1 23 1 0 4
Sample2 0 0 2 0
Sample3 4 0 4 0
Sample4 0 30 0 5
Sample5 11 0 5 0
Sample6 0 0 0 0
and this is my bim file
## chromosome snp.name cM position allele.1 allele.2
## rs4579145 4 rs4579145 0 78303781 T C
## rs2768995 6 rs2768995 0 6911315 C T
## rs10125738 9 rs10125738 0 101066136 A G
## rs888263 18 rs888263 0 12750253 G A
## rs7639361 3 rs7639361 0 80138205 A C
## rs2430512 17 rs2430512 0 69675940 T C
MiRKAT has meta data option (I attached screenshot), then where I should put my SNP data to calculate correlation???
https://www.imageupload.co.uk/image/EARK
Thank you
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MiRKAT developer said that "If you code your SNP data by 0/1/2, then it should be your y if you are interested in the association between micro biome and the SNP. The metadata that you want to adjust for is in the X covariates. "
but got too complicated