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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...
Autores principales: | , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
American Medical Association
2023
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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. |
format | Online Article Text |
id | pubmed-9912130 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | American Medical Association |
record_format | MEDLINE/PubMed |
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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