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Deciphering congenital anomalies for the next generation

Congenital anomalies are common, with 2%–3% of infants estimated to have at least one major congenital malformation and countless others with minor malformations of lesser cosmetic or medical importance. As congenital malformations are major drivers of morbidity and mortality, representing the leadi...

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Detalles Bibliográficos
Autores principales: Wojcik, Monica H., Agrawal, Pankaj B.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Cold Spring Harbor Laboratory Press 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7552931/
https://www.ncbi.nlm.nih.gov/pubmed/32826208
http://dx.doi.org/10.1101/mcs.a005504
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author Wojcik, Monica H.
Agrawal, Pankaj B.
author_facet Wojcik, Monica H.
Agrawal, Pankaj B.
author_sort Wojcik, Monica H.
collection PubMed
description Congenital anomalies are common, with 2%–3% of infants estimated to have at least one major congenital malformation and countless others with minor malformations of lesser cosmetic or medical importance. As congenital malformations are major drivers of morbidity and mortality, representing the leading cause of infant mortality in the United States, there is substantial interest in understanding the underlying etiologies—particularly if modifiable causes may be identified or pre- or postnatal treatments can be offered. Recent research has begun to reveal the spectrum of monogenic disorders that commonly result in birth defects, and newer approaches have revealed non-Mendelian genetic contributions including gene–environment interactions. Our experience suggests that increased efforts to sequence and analyze cases of perinatal death, as well as continued global collaboration, will be essential in understanding the genomic landscape of structural anomalies.
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spelling pubmed-75529312020-10-20 Deciphering congenital anomalies for the next generation Wojcik, Monica H. Agrawal, Pankaj B. Cold Spring Harb Mol Case Stud Commentary Congenital anomalies are common, with 2%–3% of infants estimated to have at least one major congenital malformation and countless others with minor malformations of lesser cosmetic or medical importance. As congenital malformations are major drivers of morbidity and mortality, representing the leading cause of infant mortality in the United States, there is substantial interest in understanding the underlying etiologies—particularly if modifiable causes may be identified or pre- or postnatal treatments can be offered. Recent research has begun to reveal the spectrum of monogenic disorders that commonly result in birth defects, and newer approaches have revealed non-Mendelian genetic contributions including gene–environment interactions. Our experience suggests that increased efforts to sequence and analyze cases of perinatal death, as well as continued global collaboration, will be essential in understanding the genomic landscape of structural anomalies. Cold Spring Harbor Laboratory Press 2020-10 /pmc/articles/PMC7552931/ /pubmed/32826208 http://dx.doi.org/10.1101/mcs.a005504 Text en © 2020 Wojcik and Agrawal; Published by Cold Spring Harbor Laboratory Press http://creativecommons.org/licenses/by-nc/4.0/ This article is distributed under the terms of the Creative Commons Attribution-NonCommercial License (http://creativecommons.org/licenses/by-nc/4.0/) , which permits reuse and redistribution, except for commercial purposes, provided that the original author and source are credited.
spellingShingle Commentary
Wojcik, Monica H.
Agrawal, Pankaj B.
Deciphering congenital anomalies for the next generation
title Deciphering congenital anomalies for the next generation
title_full Deciphering congenital anomalies for the next generation
title_fullStr Deciphering congenital anomalies for the next generation
title_full_unstemmed Deciphering congenital anomalies for the next generation
title_short Deciphering congenital anomalies for the next generation
title_sort deciphering congenital anomalies for the next generation
topic Commentary
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7552931/
https://www.ncbi.nlm.nih.gov/pubmed/32826208
http://dx.doi.org/10.1101/mcs.a005504
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