Table of Contents

Data description




Working plan

We have several candidate profiles of mutations because it is clear the kind of mutation we are searching but sometimes we do not have a specific clues.

How many variants do you detect for each scenario?

A. Individual filters

  1. Recessive heritage
  2. Dominant heritage (mother is affected).
  3. For these region, only chromosome: 3,19
  4. Evaluate the same regions, including start and end at the first region: 3:1000-200000,19
  5. For this gene: SDC3
  6. Description of variants. How many SNVs, INDELs, MNVs, SVs, CNVs?
  7. Variants with MAF (Minimum Allelic Frequency) < 0.05 for AFR populations in 1000 Genomes phase 1
  8. Variants with MAF (Minimum Allelic Frequency) < 0.05 for AFR populations in 1000 Genomes phase 3
  9. Variants with MAF (Minimum Allelic Frequency) < 0.05 for African American population in ESP 6500
  10. For sift<0.05 and polyphen >0.95, because it is likely pathogenic


B. Progressive selection

  1. Can you apply filters to search “Insuline Resistance” phenotype in recesive heritage? (You can see a solution at the end, it could be more than one)
    • Download these final results in a csv file.



Solutions

A. Individual filters

  1. Candidate variants: 964
  2. Candidate variants: 10852
  3. Candidate variants: 5015
  4. Candidate variants: 975
  5. Candidate variants: 2
  6. 36307 SNVs, 3666 INDELs, 23 MNVs, 3 SVs, 0 CNVs
  7. Candidate variants in 1000 Genomes, phase 1: 16102
  8. Candidate variants in 1000 Genomes, phase 3: 17468
  9. Candidate variants in European American population: 24460
  10. Candidate variants: 313

B. Progressive selection

  1. sift<0.05, polyphen>0.95, AFR phase3 < 0.1