Ogino Shuji, Flodman Pamela, Wilson Robert B, Gold Bert, Grody Wayne W
Department of Pathology, Brigham and Womens Hospital, Harvard Medical School, Boston, Massachusetts 02115, USA.
Genet Med. 2005 May-Jun;7(5):317-27. doi: 10.1097/01.gim.0000162871.68167.8a.
Although neonatal screening (or newborn screening) for cystic fibrosis (CF) is commonly practiced, systematic methods for accurate risk calculations are currently lacking.
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.
Our Bayesian methods permit CF disease probabilities to be calculated accurately, taking into account all relevant information.
尽管目前普遍开展了针对囊性纤维化(CF)的新生儿筛查,但目前仍缺乏用于准确风险计算的系统方法。
我们利用已发表的数据评估了免疫反应性胰蛋白酶原(IRT)检测的特征。如果新生儿患病、是携带者或非携带者,其IRT检测呈阳性的概率分别约为1、0.041或0.011。我们提供了计算各种常见情况下IRT检测呈阳性新生儿的遗传风险的方法。
我们的贝叶斯方法允许在考虑所有相关信息的情况下准确计算CF疾病概率。