Newborn screening for neurodevelopmental diseases: Are we there yet?


Journal

American journal of medical genetics. Part C, Seminars in medical genetics
ISSN: 1552-4876
Titre abrégé: Am J Med Genet C Semin Med Genet
Pays: United States
ID NLM: 101235745

Informations de publication

Date de publication:
06 2022
Historique:
revised: 13 06 2022
received: 28 02 2022
accepted: 30 06 2022
pubmed: 16 7 2022
medline: 21 10 2022
entrez: 15 7 2022
Statut: ppublish

Résumé

In the US, newborn screening (NBS) is a unique health program that supports health equity and screens virtually every baby after birth, and has brought timely treatments to babies since the 1960's. With the decreasing cost of sequencing and the improving methods to interpret genetic data, there is an opportunity to add DNA sequencing as a screening method to facilitate the identification of babies with treatable conditions that cannot be identified in any other scalable way, including highly penetrant genetic neurodevelopmental disorders (NDD). However, the lack of effective dietary or drug-based treatments has made it nearly impossible to consider NDDs in the current NBS framework, yet it is anticipated that any treatment will be maximally effective if started early. Hence there is a critical need for large scale pilot studies to assess if and how NDDs can be effectively screened at birth, if parents desire that information, and what impact early diagnosis may have. Here we attempt to provide an overview of the recent advances in NDD treatments, explore the possible framework of setting up a pilot study to genetically screen for NDDs, highlight key technical, practical, and ethical considerations and challenges, and examine the policy and health system implications.

Identifiants

pubmed: 35838066
doi: 10.1002/ajmg.c.31988
pmc: PMC9796120
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

222-230

Subventions

Organisme : NICHD NIH HHS
ID : P50 HD105351
Pays : United States

Informations de copyright

© 2022 The Authors. American Journal of Medical Genetics Part C: Seminars in Medical Genetics published by Wiley Periodicals LLC.

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Auteurs

Wendy K Chung (WK)

Department of Pediatrics and Medicine, Columbia University, New York, New York, USA.

Jonathan S Berg (JS)

Department of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA.

Jeffrey R Botkin (JR)

Department of Pediatrics, University of Utah, Salt Lake City, Utah, USA.

Steven E Brenner (SE)

Department of Plant and Microbial Biology, University of California, Berkeley, California, USA.

Jeffrey P Brosco (JP)

Institute for Bioethics and Health Policy, Miller School of Medicine, University of Miami, Miami, Florida, USA.

Kyle B Brothers (KB)

Department of Pediatrics, University of Louisville, Louisville, Kentucky, USA.

Robert J Currier (RJ)

School of Medicine, University of California, San Francisco, California, USA.

Amy Gaviglio (A)

Connetics Consulting, Minneapolis, Minnesota, USA.

Walter E Kowtoniuk (WE)

Third Rock Ventures, Boston, Massachusetts, USA.

Colleen Olson (C)

Steinhardt Graduate School of Education, New York University, New York, New York, USA.

Michele Lloyd-Puryear (M)

American College of Medical Genetics and Genomics, Bethesda, Maryland, USA.

Annamarie Saarinen (A)

Newborn Foundation, St. Paul, Minnesota, USA.

Mustafa Sahin (M)

Rosamund Stone Zander Translational Neuroscience Center, Department of Neurology, Boston Children's Hospital, Harvard Medical School, Boston, Massachusetts, USA.

Yufeng Shen (Y)

Department of Systems Biology, Columbia University, New York, New York, USA.
Department of Biomedical Informatics, Columbia University, New York, New York, USA.

Elliott H Sherr (EH)

Department of Neurology, Weill Institute of Neurosciences, University of California, San Francisco, California, USA.

Michael S Watson (MS)

Department of Pediatrics, School of Medicine, Washington University (Adjunct), St. Louis, Missouri, USA.

Zhanzhi Hu (Z)

Department of Systems Biology, Columbia University, New York, New York, USA.
Department of Biomedical Informatics, Columbia University, New York, New York, USA.

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Classifications MeSH