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Here we decided to discard the columns created in the conditional pipeline to be used for fine-mapping in the last step of the pipeline. So, we will remove below columns from the conditional or locus breaker results:
snp_map: copy of SNP column
type: type of phenotype based on measurement
sdY: standard deviation of phenotype
Two newly created columns should be removed after that COJO was performed ONLY for formatting sakes:
pJ_org: p-value in the joint model from bJ and bJ_se made by GCTA
mlog10pJ: minus log10 p-value in the joint model from bJ and bJ_se computed in the conditional pipe
The text was updated successfully, but these errors were encountered:
Here we decided to discard the columns created in the conditional pipeline to be used for fine-mapping in the last step of the pipeline. So, we will remove below columns from the conditional or locus breaker results:
Two newly created columns should be removed after that COJO was performed ONLY for formatting sakes:
The text was updated successfully, but these errors were encountered: