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Extract a simulated 23andMe (V3) style file from a Whole Genome BAM file

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extract23

Extract a simulated 23andMe (V3) style file from a Whole Genome BAM file

Many DNA and genealogy tools use a file upload for allele call (summary) files in the 23andMe format (http://fileformats.archiveteam.org/wiki/23andMe). Those tools can't cope with huge VCF files or even raw FastQ or BAM files. With this script I show how it is possible to extract exactly the SNPs listed in a template from a BAM file and reformat the data to a 23andMe style allele table that can be uploaded to various interpretation services such as Gedmatch or Promethease. Of course you can change the template to any other arbitrary format such as Ancestry or FTDNA. I have just started with 23andMe V3 since this is the most universal usable format.

Requirements:

The extract23.sh script depends on bash, a modern UNIX/Linux shell and is only tested on Debian Linux. I will not work on Windows platforms without significant rewriting, but you may try to use it with Cygwin https://www.cygwin.com/.

The script makes heavy use of the htslib versions of samtools and bcftools and tabix http://www.htslib.org/ . At the time of writing I was using samtools Version: 1.3.1-42-g0a15035 and bcftools 1.3.1-201-g87456cf (using htslib 1.3.2-176-gafd9b56). Older versions before inclusion of htslib will likely not work because features like bcftools call were not available at that time. HTSlib itself depends on zlib. Since the 23andMe files usually come in a Zip format, you need to have zip installed to compress it.

SNP calling of huge BAM files requires more than average computing power, disk space and RAM. The minimum recommended setup is 4 Gbyte of RAM and 100 Gbyte free disk space. A 64 bit processor is recommended.

Of course you need a hg19 referenced, sorted and indexed WGS BAM file. I haven't tried an exome BAM file, but it might work, since the 23andMe SNPs are often in exome regions. This is certainly sufficient for single SNP diagnostics, but it may be problematic for segment analysis or phasing.

With the given template the whole genome BAM file must be in the hg19 format. This means that the reference FASTA files must have chr1, chr2, ... chr22, chrM, chrX and chrY. If the BAM file is in GRCh37 format (1, 2, 3 ... 22, M, X, Y) you may try to change the template by removing the leading 'chr' characters like this:

gunzip -c 23andMe_V3_hg19_ref.tab.gz > 23andMe_V3_hg19_ref.tab
cat 23andMe_V3_hg19_ref.tab | sed 's/^chr//' > 23andMe_V3_GRCh37_ref.tab
bgzip -c 23andMe_V3_GRCh37_ref.tab > 23andMe_V3_GRCh37_ref.tab.gz
tabix -s1 -b2 -e2 23andMe_V3_GRCh37_ref.tab.gz

Of course you'll need to change the correct template in the script call itself with the help of the -t parameter.

Installation/Usage:

Make sure htslib, samtools, bcftools, tabix, git, gzip and zip are installed and in your executable path. You need to have the samtools indexed hg19 reference on your computer and point to it with the -r parameter. The .fai file must be in the same directory as the hg19_ref.fasta file.

git clone https://github.com/tkrahn/extract23
cd extract23
./extract23.sh -b /path/to/bamfile_in_hg19.bam -r /path/to/hg19_ref.fasta -v

The BAM file and the BAI index must be in the same directory. Be patient, the run for a 30x WGS BAM file can take 15 minutes up to hours, depending on the speed of your processor.

======================================== EXRACT23 =======================================
Usage: 
extract23.sh -b <sorted_hg19_bamfile.bam> -r <hg19_ref.fasta> [-t <23andMe_V3_hg19_ref.tab.gz>] [-o output.txt] [-v]
  Parameters:
  -b The whole genome hg19 referenced, sorted and indexed BAM file. REQUIRED!
  -r The hg19 reference file (downloaded to your computer and indexed with samtools index <ref.fasta>. REQUIRED!
  -t The bgziped and tabix -s1 -b2 -e2 indexed translation database. Defaults to 23andMe_V3_hg19_ref.tab.gz
  -o Output file name without the .zip suffix. Defaults to 23andMe_V3_hg19.txt
  -v Verbose output.

Issues

The formatting is very simplistic and currently completely ignores Indels. The script actually calls Indels like point mutations with the single base at the given location in the template. This should be improved with another lookup table to properly call Indels and translate them to 23andMe's DD, DI, II format. However neither Gedmatch or Promethease care about incorrect Indels, so I didn't look into this further.

Another difference is that haplotype SNPs on the X, Y and MT chromosomes are still called with two alleles. Not sure if there is any tool available that has problems with this.

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