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Reclassification of the Etiology of Infant Mortality With Whole-Genome Sequencing

IMPORTANCE: Understanding the causes of infant mortality shapes public health, surveillance, and research investments. However, the association of single-locus (mendelian) genetic diseases with infant mortality is poorly understood. OBJECTIVE: To determine the association of genetic diseases with in...

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Autores principales: Owen, Mallory J., Wright, Meredith S., Batalov, Sergey, Kwon, Yonghyun, Ding, Yan, Chau, Kevin K., Chowdhury, Shimul, Sweeney, Nathaly M., Kiernan, Elizabeth, Richardson, Andrew, Batton, Emily, Baer, Rebecca J., Bandoli, Gretchen, Gleeson, Joseph G., Bainbridge, Matthew, Chambers, Christina D., Kingsmore, Stephen F.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Medical Association 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9912130/
https://www.ncbi.nlm.nih.gov/pubmed/36757698
http://dx.doi.org/10.1001/jamanetworkopen.2022.54069
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author Owen, Mallory J.
Wright, Meredith S.
Batalov, Sergey
Kwon, Yonghyun
Ding, Yan
Chau, Kevin K.
Chowdhury, Shimul
Sweeney, Nathaly M.
Kiernan, Elizabeth
Richardson, Andrew
Batton, Emily
Baer, Rebecca J.
Bandoli, Gretchen
Gleeson, Joseph G.
Bainbridge, Matthew
Chambers, Christina D.
Kingsmore, Stephen F.
author_facet Owen, Mallory J.
Wright, Meredith S.
Batalov, Sergey
Kwon, Yonghyun
Ding, Yan
Chau, Kevin K.
Chowdhury, Shimul
Sweeney, Nathaly M.
Kiernan, Elizabeth
Richardson, Andrew
Batton, Emily
Baer, Rebecca J.
Bandoli, Gretchen
Gleeson, Joseph G.
Bainbridge, Matthew
Chambers, Christina D.
Kingsmore, Stephen F.
author_sort Owen, Mallory J.
collection PubMed
description IMPORTANCE: Understanding the causes of infant mortality shapes public health, surveillance, and research investments. However, the association of single-locus (mendelian) genetic diseases with infant mortality is poorly understood. OBJECTIVE: To determine the association of genetic diseases with infant mortality. DESIGN, SETTING, AND PARTICIPANTS: This cohort study was conducted at a large pediatric hospital system in San Diego County (California) and included 546 infants (112 infant deaths [20.5%] and 434 infants [79.5%] with acute illness who survived; age, 0 to 1 year) who underwent diagnostic whole-genome sequencing (WGS) between January 2015 and December 2020. Data analysis was conducted between 2015 and 2022. EXPOSURE: Infants underwent WGS either premortem or postmortem with semiautomated phenotyping and diagnostic interpretation. MAIN OUTCOMES AND MEASURES: Proportion of infant deaths associated with single-locus genetic diseases. RESULTS: Among 112 infant deaths (54 girls [48.2%]; 8 [7.1%] African American or Black, 1 [0.9%] American Indian or Alaska Native, 8 [7.1%] Asian, 48 [42.9%] Hispanic, 1 [0.9%] Native Hawaiian or Pacific Islander, and 34 [30.4%] White infants) in San Diego County between 2015 and 2020, single-locus genetic diseases were the most common identifiable cause of infant mortality, with 47 genetic diseases identified in 46 infants (41%). Thirty-nine (83%) of these diseases had been previously reported to be associated with childhood mortality. Twenty-eight death certificates (62%) for 45 of the 46 infants did not mention a genetic etiology. Treatments that can improve outcomes were available for 14 (30%) of the genetic diseases. In 5 of 7 infants in whom genetic diseases were identified postmortem, death might have been avoided had rapid, diagnostic WGS been performed at time of symptom onset or regional intensive care unit admission. CONCLUSIONS AND RELEVANCE: In this cohort study of 112 infant deaths, the association of genetic diseases with infant mortality was higher than previously recognized. Strategies to increase neonatal diagnosis of genetic diseases and immediately implement treatment may decrease infant mortality. Additional study is required to explore the generalizability of these findings and measure reduction in infant mortality.
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spelling pubmed-99121302023-02-11 Reclassification of the Etiology of Infant Mortality With Whole-Genome Sequencing Owen, Mallory J. Wright, Meredith S. Batalov, Sergey Kwon, Yonghyun Ding, Yan Chau, Kevin K. Chowdhury, Shimul Sweeney, Nathaly M. Kiernan, Elizabeth Richardson, Andrew Batton, Emily Baer, Rebecca J. Bandoli, Gretchen Gleeson, Joseph G. Bainbridge, Matthew Chambers, Christina D. Kingsmore, Stephen F. JAMA Netw Open Original Investigation IMPORTANCE: Understanding the causes of infant mortality shapes public health, surveillance, and research investments. However, the association of single-locus (mendelian) genetic diseases with infant mortality is poorly understood. OBJECTIVE: To determine the association of genetic diseases with infant mortality. DESIGN, SETTING, AND PARTICIPANTS: This cohort study was conducted at a large pediatric hospital system in San Diego County (California) and included 546 infants (112 infant deaths [20.5%] and 434 infants [79.5%] with acute illness who survived; age, 0 to 1 year) who underwent diagnostic whole-genome sequencing (WGS) between January 2015 and December 2020. Data analysis was conducted between 2015 and 2022. EXPOSURE: Infants underwent WGS either premortem or postmortem with semiautomated phenotyping and diagnostic interpretation. MAIN OUTCOMES AND MEASURES: Proportion of infant deaths associated with single-locus genetic diseases. RESULTS: Among 112 infant deaths (54 girls [48.2%]; 8 [7.1%] African American or Black, 1 [0.9%] American Indian or Alaska Native, 8 [7.1%] Asian, 48 [42.9%] Hispanic, 1 [0.9%] Native Hawaiian or Pacific Islander, and 34 [30.4%] White infants) in San Diego County between 2015 and 2020, single-locus genetic diseases were the most common identifiable cause of infant mortality, with 47 genetic diseases identified in 46 infants (41%). Thirty-nine (83%) of these diseases had been previously reported to be associated with childhood mortality. Twenty-eight death certificates (62%) for 45 of the 46 infants did not mention a genetic etiology. Treatments that can improve outcomes were available for 14 (30%) of the genetic diseases. In 5 of 7 infants in whom genetic diseases were identified postmortem, death might have been avoided had rapid, diagnostic WGS been performed at time of symptom onset or regional intensive care unit admission. CONCLUSIONS AND RELEVANCE: In this cohort study of 112 infant deaths, the association of genetic diseases with infant mortality was higher than previously recognized. Strategies to increase neonatal diagnosis of genetic diseases and immediately implement treatment may decrease infant mortality. Additional study is required to explore the generalizability of these findings and measure reduction in infant mortality. American Medical Association 2023-02-09 /pmc/articles/PMC9912130/ /pubmed/36757698 http://dx.doi.org/10.1001/jamanetworkopen.2022.54069 Text en Copyright 2023 Owen MJ et al. JAMA Network Open. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the CC-BY License.
spellingShingle Original Investigation
Owen, Mallory J.
Wright, Meredith S.
Batalov, Sergey
Kwon, Yonghyun
Ding, Yan
Chau, Kevin K.
Chowdhury, Shimul
Sweeney, Nathaly M.
Kiernan, Elizabeth
Richardson, Andrew
Batton, Emily
Baer, Rebecca J.
Bandoli, Gretchen
Gleeson, Joseph G.
Bainbridge, Matthew
Chambers, Christina D.
Kingsmore, Stephen F.
Reclassification of the Etiology of Infant Mortality With Whole-Genome Sequencing
title Reclassification of the Etiology of Infant Mortality With Whole-Genome Sequencing
title_full Reclassification of the Etiology of Infant Mortality With Whole-Genome Sequencing
title_fullStr Reclassification of the Etiology of Infant Mortality With Whole-Genome Sequencing
title_full_unstemmed Reclassification of the Etiology of Infant Mortality With Whole-Genome Sequencing
title_short Reclassification of the Etiology of Infant Mortality With Whole-Genome Sequencing
title_sort reclassification of the etiology of infant mortality with whole-genome sequencing
topic Original Investigation
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9912130/
https://www.ncbi.nlm.nih.gov/pubmed/36757698
http://dx.doi.org/10.1001/jamanetworkopen.2022.54069
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