SNP

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SNP Filtering Plans

Base Calling

  • Minimum Read depth
  • Based on Phred scores
  • 1% error rate
  • Alignment (Trade off between accuracy and read depth)
  • Recalibration of Pherd scores
    • Essential
    • Phred score of Q should be = 10 to the power Q by 10 or less. This is done by alignning with the reference with the known SNPs
  • Homo and Heterozgous SNPs in a diploid
    • Homozygous -> If an SNP (different than ref) base is counted across the read depth to be more than 80%
    • Hetorozygous -> If an SNP (different than ref) base is counted across the read depth to be less than 80%
    • Sequence/alignment Error -> If an SNP based is counted to be less than 10%
    • This is true of the depth is minimum of 20x
  • Accuracy in SNP calling
    • Accuracy can be improved from single(Ref vs one sample) to multi samples (Ref vs several samles).
      • However false positives (SNP call) would also increase with more number of samples
    • Possible accuracy by read depth based SNP calling is 85%
    • Possible accuracy by LD (linkage disequilibrium) is >95%
      • Possible only when multi samples are used
      • Software that uses LD for SNP calling is Beagle, IMPUTE2, QCall, MaCH

Plan for SNP calling

  • Assumptions
    • Multiple Genotypes instead of Ref vs One
    • Right combination (contrasting genotype types for specific type ) vs ref.
    • LD based SNP calling
    • Cross check the SNPs against all the 18 genotypes vs contrasting types
  • Filtering