Translating Molecular Technologies into Routine Newborn Screening Practice

Author:

Furnier Sarah M.,Durkin Maureen S.,Baker Mei W.ORCID

Abstract

As biotechnologies advance and better treatment regimens emerge, there is a trend toward applying more advanced technologies and adding more conditions to the newborn screening (NBS) panel. In the current Recommended Uniform Screening Panel (RUSP), all conditions but one, congenital hypothyroidism, have well-defined genes and inheritance patterns, so it is beneficial to incorporate molecular testing in NBS when it is necessary and appropriate. Indeed, the applications of molecular technologies have taken NBS to previously uncharted territory. In this paper, based on our own program experience and what has been reported in the literature, we describe current practices regarding the applications of molecular technologies in routine NBS practice in the era of genomic and precision medicine.

Publisher

MDPI AG

Subject

Obstetrics and Gynaecology,Immunology and Microbiology (miscellaneous),Pediatrics, Perinatology, and Child Health

Reference53 articles.

1. CDC grand rounds: Newborn screening and improved outcomes;MMWR Morbid. Mortal. Wkly. Rep.,2012

2. Molecular genetic diagnosis of sickle cell disease using dried blood specimens on blotters used for newborn screening

3. Application of DNA analysis in a population-screening program for neonatal diagnosis of cystic fibrosis (CF): Comparison of screening protocols;Gregg;Am. J. Hum. Genet.,1993

4. Optimal DNA tier for the IRT/DNA algorithm determined by CFTR mutation results over 14years of newborn screening

5. Neonatal screening strategy for cystic fibrosis using immunoreactive trypsinogen and direct gene analysis.

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3