Gauchian is a targeted variant caller for the GBA gene based on a whole-genome sequencing (WGS) BAM file. Gauchian uses a novel method to solve the problems caused by the high sequence similarity with the pseudogene paralog GBAP1 and is able to detect variants accurately in the Exons 9-11 homology region, such as large deletions or duplications between GBA and GBAP1, and GBAP1-like variants in GBA, including p.A495P, p.L483P, p.D448H, c.1263del, RecNciI, RecTL and c.1263del+RecTL. In addition to these challenging variants, Gauchian also calls known pathogenic or likely pathogenic GBA variants classified in ClinVar. Gauchian has been tested on Illumina WGS data with standard sequencing depth (>=30X), and may be less reliable at lower coverage. Furthermore, it was designed primarily for the pseudogene-related mutations, which other tools cannot reliably identify. While it is able to detect other known mutations such as p.N409S (N370S), additional analysis for these can be performed if absolute certainty is required. Gauchian does not work on targeted sequencing data. Please refer to our paper for more details about the method.
This Python package is supported for Linux and macOS. It has been tested on CentOS 7.9.2009.
The Python dependencies can be found in requirements.txt. Installation takes a few seconds.
Gauchian can be installed with pip install gauchian or alternatively
git clone https://github.com/Illumina/Gauchian
cd Gauchian
python3 setup.py installgauchian --manifest MANIFEST_FILE \
--genome [19/37/38] \
--prefix OUTPUT_FILE_PREFIX \
--outDir OUTPUT_DIRECTORY \
--threads NUMBER_THREADSThe manifest is a text file in which each line should list the absolute path to an input WGS BAM/CRAM file. Full WGS BAM/CRAM files are recommended. If you would like to use a subsetted bamlet, please subset using region files in gauchian/data/GBA_region_*.bed.
For CRAM input, it’s suggested to provide the path to the reference fasta file with --reference in the command.
The program produces a .tsv file in the directory specified by --outDir. The fields are explained below:
| Fields in tsv | Explanation |
|---|---|
| Sample | Sample name |
| is_biallelic(GBAP1-like_variant_exon9-11) | Whether the sample is called as biallelic for GBAP1-like variants in exon9-11 |
| is_carrier(GBAP1-like_variant_exon9-11) | Whether the sample is called as a carrier for GBAP1-like variants in exon9-11 |
| CN(GBA+GBAP1) | Total copy number of GBA+GBAP1 |
| deletion_breakpoint_in_GBA | Whether the deletion breakpoint is in GBA gene if a deletion exists |
| GBAP1-like_variant_exon9-11 | GBAP1-like variants called in exon9-11, two alleles separated by / |
| other_unphased_variants | Other variants called (non-GBAP1-like variants or variants outside of exon9-11) |
A .json file is also produced that contains more information about each sample.
| Fields in json | Explanation |
|---|---|
| Coverage_MAD | Median absolute deviation of depth, measure of sample quality |
| Median_depth | Sample median depth |
| deletion_CN | CN of the unique region between GBA and GBAP1. This value plus 2 is the total CN |
| deletion_CN_raw | Raw normalized depth of the unique region between GBA and GBAP1 |
| variant_raw_count | Supporting reads for each variant |
| snp_call | GBA copy number call at GBA/GBAP1 differentiating sites |
| snp_raw | Raw GBA copy number at GBA/GBAP1 differentiating sites |
| haplotypes | Summary of haplotypes assembled across GBA/GBAP1 differentiating sites in Exon9-11 |
