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.
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.
Authors: César Paz-Y-Miño; Ana Karina Zambrano; Juan Carlos Ruiz-Cabezas; Isaac Armendáriz-Castillo; Jennyfer M García-Cárdenas; Santiago Guerrero; Andrés López-Cortés; Andy Pérez-Villa; Patricia Guevara-Ramírez; Verónica Yumiceba; Paola E Leone Journal: Biomed Res Int Date: 2020-05-29 Impact factor: 3.411