code: def get_affected_status(data):
      
      affected = set(["tumor", "affected", "2"])
      unaffected = set(["normal", "unaffected", "1"])
      phenotype = str(tz.get_in(["metadata", "phenotype"], data, "")).lower()
      if dd.get_svclass(data) == "control":
          return 1
      elif phenotype in affected:
          return 2
      elif phenotype in unaffected:
          return 1
      else:
          return 0
docs: Retrieve the affected/unaffected status of sample.
  
      Uses unaffected (1), affected (2), unknown (0) coding from PED files:
  
      http://pngu.mgh.harvard.edu/~purcell/plink/data.shtml#ped