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Hi,
Thank you for the updated version.
I have used the GTEX v8 mashr models. I did the GWAS harmonization using the first (or the recommended) method. I didn't impute and ran the MetaXcan.py.
In the output file, three columns related to prediction - pred_* had all NAs.
Is there a value(parameter) I should have used to get these?
The following is my script and parameters
python2 MetaXcan/software/MetaXcan.py
--gwas_file mygwas-harmonize.txt.gz
--snp_column panel_variant_id --effect_allele_column effect_allele --non_effect_allele_column non_effect_allele --zscore_column zscore
--model_db_path data/models/eqtl/mashr/mashr_Whole_Blood.db
--covariance data/models/eqtl/mashr/mashr_Whole_Blood.txt.gz
--keep_non_rsid --additional_output --model_db_snp_key varID
--throw
--output_file mygwas-mashr-GTexV8_Whole_Blood.csv
Thank you for helping.
The text was updated successfully, but these errors were encountered:
The pred* columns do not apply to MASHR models, therefore it is expected for them to be NA.
The pred* columns detail cross-validated prediction performance, a statistic defined only on Elastic Net models. The MASHR models have no prediction performance measure.
Hi,
Thank you for the updated version.
I have used the GTEX v8 mashr models. I did the GWAS harmonization using the first (or the recommended) method. I didn't impute and ran the MetaXcan.py.
In the output file, three columns related to prediction - pred_* had all NAs.
Is there a value(parameter) I should have used to get these?
The following is my script and parameters
python2 MetaXcan/software/MetaXcan.py
--gwas_file mygwas-harmonize.txt.gz
--snp_column panel_variant_id --effect_allele_column effect_allele --non_effect_allele_column non_effect_allele --zscore_column zscore
--model_db_path data/models/eqtl/mashr/mashr_Whole_Blood.db
--covariance data/models/eqtl/mashr/mashr_Whole_Blood.txt.gz
--keep_non_rsid --additional_output --model_db_snp_key varID
--throw
--output_file mygwas-mashr-GTexV8_Whole_Blood.csv
Thank you for helping.
The text was updated successfully, but these errors were encountered: