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Molecular genetic screening of full-term small for gestational age

OBJECTIVE: To examine the clinical application of genomic screening in newborns small for gestational age (SGA), hoping to provide an efficient technique for early discovery of neonatal diseases, which is necessary to elevate survival rates and the quality of life in infants. METHODS: Totally 93 ful...

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Autores principales: Zhang, Shuman, Zhou, Lingna, Zhang, Lin, Wang, Yu, Wang, Huaiyan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10161501/
https://www.ncbi.nlm.nih.gov/pubmed/37147621
http://dx.doi.org/10.1186/s12887-023-04030-0
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author Zhang, Shuman
Zhou, Lingna
Zhang, Lin
Wang, Yu
Wang, Huaiyan
author_facet Zhang, Shuman
Zhou, Lingna
Zhang, Lin
Wang, Yu
Wang, Huaiyan
author_sort Zhang, Shuman
collection PubMed
description OBJECTIVE: To examine the clinical application of genomic screening in newborns small for gestational age (SGA), hoping to provide an efficient technique for early discovery of neonatal diseases, which is necessary to elevate survival rates and the quality of life in infants. METHODS: Totally 93 full-term SGA newborns were assessed. Dried blood spot (DBS) samples were obtained at 72 h after birth, and tandem mass spectrometry (TMS) and Angel Care genomic screening (GS, using Targeted next generation sequencing) were carried out. RESULTS: All 93 subjects were examined by Angel Care GS and TMS. No children showing inborn errors of metabolism (IEM) were detected by TMS, while 2 pediatric cases (2.15%, 2/93) were confirmed as thyroid dyshormonogenesis 6 (TDH6) by Angel Care GS. Additionally, 45 pediatric cases (48.4%) had one or more variants conferring a carrier status for recessive childhood-onset disorders, with 31 genes and 42 variants associated with 26 diseases. The top three gene-related diseases with carrier status were autosomal recessive deafness (DFNB), abnormal thyroid hormone and Krabbe disease. CONCLUSIONS: SGA is tightly associated with genetic variation. Molecular Genetic Screening allows early detection of congenital hypothyroidism and may be a potent genomic sequencing technique for screening newborns.
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spelling pubmed-101615012023-05-06 Molecular genetic screening of full-term small for gestational age Zhang, Shuman Zhou, Lingna Zhang, Lin Wang, Yu Wang, Huaiyan BMC Pediatr Research OBJECTIVE: To examine the clinical application of genomic screening in newborns small for gestational age (SGA), hoping to provide an efficient technique for early discovery of neonatal diseases, which is necessary to elevate survival rates and the quality of life in infants. METHODS: Totally 93 full-term SGA newborns were assessed. Dried blood spot (DBS) samples were obtained at 72 h after birth, and tandem mass spectrometry (TMS) and Angel Care genomic screening (GS, using Targeted next generation sequencing) were carried out. RESULTS: All 93 subjects were examined by Angel Care GS and TMS. No children showing inborn errors of metabolism (IEM) were detected by TMS, while 2 pediatric cases (2.15%, 2/93) were confirmed as thyroid dyshormonogenesis 6 (TDH6) by Angel Care GS. Additionally, 45 pediatric cases (48.4%) had one or more variants conferring a carrier status for recessive childhood-onset disorders, with 31 genes and 42 variants associated with 26 diseases. The top three gene-related diseases with carrier status were autosomal recessive deafness (DFNB), abnormal thyroid hormone and Krabbe disease. CONCLUSIONS: SGA is tightly associated with genetic variation. Molecular Genetic Screening allows early detection of congenital hypothyroidism and may be a potent genomic sequencing technique for screening newborns. BioMed Central 2023-05-05 /pmc/articles/PMC10161501/ /pubmed/37147621 http://dx.doi.org/10.1186/s12887-023-04030-0 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Zhang, Shuman
Zhou, Lingna
Zhang, Lin
Wang, Yu
Wang, Huaiyan
Molecular genetic screening of full-term small for gestational age
title Molecular genetic screening of full-term small for gestational age
title_full Molecular genetic screening of full-term small for gestational age
title_fullStr Molecular genetic screening of full-term small for gestational age
title_full_unstemmed Molecular genetic screening of full-term small for gestational age
title_short Molecular genetic screening of full-term small for gestational age
title_sort molecular genetic screening of full-term small for gestational age
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10161501/
https://www.ncbi.nlm.nih.gov/pubmed/37147621
http://dx.doi.org/10.1186/s12887-023-04030-0
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