Hi everyone, I encountered this segmentation fault when performing chromosome-specific step2 analysis using UKBB 500k WES data.
The log file is presented here:
Start time: Tue Nov 7 00:20:59 2023
|===========================|
| REGENIE v3.3.gz |
|===========================|
Copyright (c) 2020-2023 Joelle Mbatchou, Andrey Ziyatdinov and Jonathan Marchini.
Distributed under the MIT License.
Compiled with Boost Iostream library.
Using Intel MKL with Eigen.
Log of output saved in file : regenie_step2_chr15_firth.log
Options in effect:
--step 2 \
--bed chr15_420k \
--covarFile regenie_covar_450k.txt \
--covarColList age,PC{1:10} \
--catCovarList sex,ethnicity,genotype_array \
--phenoFile regenie_pheno_500k.txt \
--phenoCol mdd,aitd \
--bsize 200 \
--bt \
--firth \
--approx \
--pThresh 0.01 \
--pred regenie_step1_output_pred.list \
--out regenie_step2_chr15_firth
Association testing mode with fast multithreading using OpenMP
* bim : [chr15_420k.bim] n_snps = 877908
* fam : [chr15_420k.fam] n_samples = 421046
* bed : [chr15_420k.bed]
* phenotypes : [regenie_pheno_500k.txt] n_pheno = 2
-number of phenotyped individuals = 421046
* covariates : [regenie_covar_450k.txt] n_cov = 14
Segmentation fault
I've tried setting different --bsize such as 200, 400 and 1000, but the error still occurred after reading the covariate files. I had successfully run step1 using 500k well-genotyped variants and the exact 420k samples, and example run for step2 went smoothly. Should I extract a smaller subset of varaints? Probably this wasn't a memory issue as I submitted the job to a HPC with 700GB of memory. Any suggestions will be appreciated.
Thank you!
Hi everyone, I encountered this segmentation fault when performing chromosome-specific step2 analysis using UKBB 500k WES data. The log file is presented here:
I've tried setting different
--bsize
such as 200, 400 and 1000, but the error still occurred after reading the covariate files. I had successfully run step1 using 500k well-genotyped variants and the exact 420k samples, and example run for step2 went smoothly. Should I extract a smaller subset of varaints? Probably this wasn't a memory issue as I submitted the job to a HPC with 700GB of memory. Any suggestions will be appreciated. Thank you!