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. Total number of variants.
  2. Recessive inheritance
  3. Dominant inheritance (mother is affected).
  4. For these region, only chromosome: 3,19
  5. Evaluate the same regions, including start and end at the first region: 3:1000-200000,19
  6. For this gene: SDC3
  7. Description of variants. How many SNVs, INDELs, MNVs, SVs, CNVs?
  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. Variants with MAF (Minimum Allelic Frequency) < 0.05 for EXAC population in ESP 6500
  11. For SIFT <0.05 and polyphen >0.95, because it is likely pathogenic


B. Progressive selection

  1. Recessive inheritance + variants in candidate genes related to “stress fiber” function. (Clue: Gene Ontology filter).
  2. Another scenario:
    • Retrieve the filter for recessive inheritance (small icon).
    • Variants in candidate genes related to “calcium ion binding” function. (Clue: Gene Ontology filter).

/* - Recessive inheritance. Can you apply filters to search “Autism” phenotype? (Clue: Human Phenotype Ontology filter). */



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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

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