Hello all!

After calling SNPs on some RNA data to produce a gVCF file, I ran a little python script to see the distribution of calling quality across the different genotypes:

• x-axis is quality score rounded to the nearest integer
• y-axis is the number of variants at that quality score

As you can see, its mostly heterozygous variants, which is what I expect since this data comes from highly inbred mice. What I didn't expect however is the periodicity. Is that normal?

Now I presumably I need to filter these variants on some number of quality score, and from this I really dont know where. 0? 50? 75?

Code to generate this data:

#!/usr/bin/env python2.7
import collections
with open('/home/john/overnight/outputs/ctrl_all_FVB.gvcf', 'rb') as f:
    data = {}
    for line in f:
        if line[0] == '#': continue
        line = line.split('\t')
        if line[5] == '.': continue
        gt = line[9][:3]
        try: data[gt][int(float(line[5]))] += 1
        except KeyError: data[gt] = collections.defaultdict(int)
for gt,qualities in data.items():
    print '\n',gt
    for qual,count in sorted(qualities.items()):
        print qual,count

UPDATE

The Dev team at GATK say this is normal and not something to worry about :)

Apparently one should not filter a gvcf directly, but rather call variants first using GenotypeGVCFs, then filter in the more standard way on that output. GATK forum post: http://gatkforums.broadinstitute.org/discussion/6216/periodicity-in-variant-calling-quality-is-this-normal