Risk calculations for cystic fibrosis in neonatal screening by immunoreactive trypsinogen and CFTR mutation tests

Genet Med. 2005 May-Jun;7(5):317-27. doi: 10.1097/01.gim.0000162871.68167.8a.

Abstract

Purpose: Although neonatal screening (or newborn screening) for cystic fibrosis (CF) is commonly practiced, systematic methods for accurate risk calculations are currently lacking.

Methods and results: We evaluated characteristics of the immunoreactive trypsinogen (IRT) test using the published data. The probability that a neonate has a positive IRT test, if the neonate is affected, a carrier, or a noncarrier, is approximately 1, 0.041, or 0.011, respectively. We provide methods to calculate genetic risks for a variety of commonly encountered scenarios in which neonates are positive by the IRT test.

Conclusion: Our Bayesian methods permit CF disease probabilities to be calculated accurately, taking into account all relevant information.

Publication types

  • Research Support, N.I.H., Extramural
  • Research Support, U.S. Gov't, P.H.S.

MeSH terms

  • Bayes Theorem*
  • Cystic Fibrosis / blood
  • Cystic Fibrosis / genetics*
  • Cystic Fibrosis Transmembrane Conductance Regulator / genetics*
  • DNA Mutational Analysis / methods
  • Genetic Testing / methods
  • Humans
  • Infant, Newborn
  • Neonatal Screening / methods*
  • Pedigree
  • Risk Assessment / methods
  • Trypsinogen / blood*

Substances

  • CFTR protein, human
  • Cystic Fibrosis Transmembrane Conductance Regulator
  • Trypsinogen