新生儿筛查
外显子组测序
医学
先天性代谢错误
外显子组
计算生物学
生物信息学
遗传学
突变
生物
内分泌学
基因
作者
Aashish N. Adhikari,Renata C. Gallagher,Yaqiong Wang,Robert J. Currier,George S. Amatuni,Laia Bassaganyas,Flavia Chen,Kunal Kundu,Mark Kvale,Sean D. Mooney,Robert L. Nussbaum,Savanna S. Randi,Jeremy R. Sanford,Joseph T.C. Shieh,Rajgopal Srinivasan,Uma Sunderam,Hao Tang,Dedeepya Vaka,Yangyun Zou,Barbara A. Koenig
出处
期刊:Nature Medicine
[Nature Portfolio]
日期:2020-08-10
卷期号:26 (9): 1392-1397
被引量:195
标识
DOI:10.1038/s41591-020-0966-5
摘要
Public health newborn screening (NBS) programs provide population-scale ascertainment of rare, treatable conditions that require urgent intervention. Tandem mass spectrometry (MS/MS) is currently used to screen newborns for a panel of rare inborn errors of metabolism (IEMs)1-4. The NBSeq project evaluated whole-exome sequencing (WES) as an innovative methodology for NBS. We obtained archived residual dried blood spots and data for nearly all IEM cases from the 4.5 million infants born in California between mid-2005 and 2013 and from some infants who screened positive by MS/MS, but were unaffected upon follow-up testing. WES had an overall sensitivity of 88% and specificity of 98.4%, compared to 99.0% and 99.8%, respectively for MS/MS, although effectiveness varied among individual IEMs. Thus, WES alone was insufficiently sensitive or specific to be a primary screen for most NBS IEMs. However, as a secondary test for infants with abnormal MS/MS screens, WES could reduce false-positive results, facilitate timely case resolution and in some instances even suggest more appropriate or specific diagnosis than that initially obtained. This study represents the largest, to date, sequencing effort of an entire population of IEM-affected cases, allowing unbiased assessment of current capabilities of WES as a tool for population screening.
科研通智能强力驱动
Strongly Powered by AbleSci AI