9.3 SNP calling using varscan

First, you need to convert the SAM file into BAM file and to sort it. Then, generate a so-called pileup file, which describes how the reads align to the reference genome position by position. You will use samtools for these steps steps. Go into the bwaMapping folder and type the following command (in one line):

$samtools view -bS 2cells.bwa.sam > 2cells.bwa.bam
$samtools sort 2cells.bwa.bam 2cells.bwa.sorted
$samtools index 2cells.bwa.sorted.bam

Now let’s create the pileup:

$ samtools mpileup -f /ibers/ernie/scratch/vpl/zebra_fish/bwaMapping/danRer10.fa 2cells.sorted.bam > 2cells.pileup

the –f parameter specifies the path to the genomic sequence. Now open the 2cells.pileup file with the more command (is generally a very large file, so do not open it with a text editor) and scroll few pages to see its format. (You can use the commands that we show in the previous chapters in order to submit these commands on the queue system).

You are now ready for the identification of SNP. Varscan has several parameters for setting the reliability of the SNP identification. All SNP calling algorithms face the problem of discriminating between true variations and sequencing errors. Open a text file called for example varscan.sh, and write the header like this:

#$ -S /bin/sh
#$ -cwd
#$ -q amd.q,large.q,intel.q
#$ -l h_vmem=8G
#$ -e snp_calling.e
#$ -N snp_calling
#$ -o snp_calling.o
cd /ibers/ernie/scratch/vpl/zebra_fish/bwaMapping

Now write the varscan command (all in one line):

java -jar /cm/shared/apps/varscan2/2.3.7/jre--1.7.0_72/varscan2-2.3.7.jar pileup2snp 2cells.pileup \
--p-value 0.01 --min-coverage 50 --min-reads2 20 --min-avg-qual 20 > 2cells.varscan.out  

the parameters are:

--p-value: p-value threshold for calling a SNP

--min-coverage: minimum number of reads covering a genomic position

--min-reads2: minimum number of reads supporting the variant

--min-avg-qual: minimum average quality at the position

Now sort the output file by increasing pAvalues:

$ sort -t$'\t' -g -k 12 2cells.varscan.out > 2cells.varscan.sorted.out 

Open the sorted file. The first two columns indicate the genomic coordinate of the SNP, the third is the nucleotide in the reference genome in that position, and the fourth is the nucleotide found there in the aligned reads. Copy the coordinate of the first (or of any) SNP, go to the UCSC Genome Browser and point it to the SNP coordinate (remember to set danRer10 as genome assembly). In which gene the SNP falls into? Once you have the SNPs list, you can try to assess the potential effect of the variation, for example a SNP changing an amino acid into another with different characteristics can be deleterious.