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Prediction of Short-Term Neonatal Complications in Preterm Infants Using Exome-Wide Genetic Variation and Gestational Age: A Pilot Study
BACKGROUND: Preterm birth is the leading cause of mortality and morbidity in young children with over a million deaths per year worldwide arising from neonatal complications (NC). NC are moderately heritable although the genetic causes are largely unknown. Therefore, we investigated the impact of ac...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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2020
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7416450/ https://www.ncbi.nlm.nih.gov/pubmed/32023625 http://dx.doi.org/10.1038/s41390-020-0796-7 |
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author | Stewart, William C L. Gnona, Komla M. White, Peter Kelly, Ben Klebanoff, Mark Buhimschi, Irina A. Nelin, Leif D. |
author_facet | Stewart, William C L. Gnona, Komla M. White, Peter Kelly, Ben Klebanoff, Mark Buhimschi, Irina A. Nelin, Leif D. |
author_sort | Stewart, William C L. |
collection | PubMed |
description | BACKGROUND: Preterm birth is the leading cause of mortality and morbidity in young children with over a million deaths per year worldwide arising from neonatal complications (NC). NC are moderately heritable although the genetic causes are largely unknown. Therefore, we investigated the impact of accumulated genetic variation (burden) on NC in Non-Hispanic White (NHW) and Non-Hispanic Black (NHB) preterm infants. METHODS: We sequenced 182 exomes from infants with gestational ages from 26 to 31 weeks. These infants were cared for in the same time period and hospital environment. Eighty-one preterm infants did not develop NC, whereas 101 developed at least one severe complication. We measured the effect of burden at the single-gene and exome-wide levels, and derived a polygenic risk score (PRS) from the top 10 genes to predict NC. RESULTS: Burden across the exome was associated with NC in NHW (p=0.05) preterm infants suggesting that multiple genes influence susceptibility. In a post hoc analysis, we find that PRS alone predicts NC (AUC=0.67) and that PRS is uncorrelated with GA ([Formula: see text]; p=0.53). When PRS and GA at birth are combined, the AUC is 0.87. CONCLUSION: Our results support the hypothesis that genetic burden influences NC in NHW preterm infants. |
format | Online Article Text |
id | pubmed-7416450 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
record_format | MEDLINE/PubMed |
spelling | pubmed-74164502020-10-02 Prediction of Short-Term Neonatal Complications in Preterm Infants Using Exome-Wide Genetic Variation and Gestational Age: A Pilot Study Stewart, William C L. Gnona, Komla M. White, Peter Kelly, Ben Klebanoff, Mark Buhimschi, Irina A. Nelin, Leif D. Pediatr Res Article BACKGROUND: Preterm birth is the leading cause of mortality and morbidity in young children with over a million deaths per year worldwide arising from neonatal complications (NC). NC are moderately heritable although the genetic causes are largely unknown. Therefore, we investigated the impact of accumulated genetic variation (burden) on NC in Non-Hispanic White (NHW) and Non-Hispanic Black (NHB) preterm infants. METHODS: We sequenced 182 exomes from infants with gestational ages from 26 to 31 weeks. These infants were cared for in the same time period and hospital environment. Eighty-one preterm infants did not develop NC, whereas 101 developed at least one severe complication. We measured the effect of burden at the single-gene and exome-wide levels, and derived a polygenic risk score (PRS) from the top 10 genes to predict NC. RESULTS: Burden across the exome was associated with NC in NHW (p=0.05) preterm infants suggesting that multiple genes influence susceptibility. In a post hoc analysis, we find that PRS alone predicts NC (AUC=0.67) and that PRS is uncorrelated with GA ([Formula: see text]; p=0.53). When PRS and GA at birth are combined, the AUC is 0.87. CONCLUSION: Our results support the hypothesis that genetic burden influences NC in NHW preterm infants. 2020-02-05 2020-10 /pmc/articles/PMC7416450/ /pubmed/32023625 http://dx.doi.org/10.1038/s41390-020-0796-7 Text en http://www.nature.com/authors/editorial_policies/license.html#terms Users may view, print, copy, and download text and data-mine the content in such documents, for the purposes of academic research, subject always to the full Conditions of use:http://www.nature.com/authors/editorial_policies/license.html#terms |
spellingShingle | Article Stewart, William C L. Gnona, Komla M. White, Peter Kelly, Ben Klebanoff, Mark Buhimschi, Irina A. Nelin, Leif D. Prediction of Short-Term Neonatal Complications in Preterm Infants Using Exome-Wide Genetic Variation and Gestational Age: A Pilot Study |
title | Prediction of Short-Term Neonatal Complications in Preterm Infants Using Exome-Wide Genetic Variation and Gestational Age: A Pilot Study |
title_full | Prediction of Short-Term Neonatal Complications in Preterm Infants Using Exome-Wide Genetic Variation and Gestational Age: A Pilot Study |
title_fullStr | Prediction of Short-Term Neonatal Complications in Preterm Infants Using Exome-Wide Genetic Variation and Gestational Age: A Pilot Study |
title_full_unstemmed | Prediction of Short-Term Neonatal Complications in Preterm Infants Using Exome-Wide Genetic Variation and Gestational Age: A Pilot Study |
title_short | Prediction of Short-Term Neonatal Complications in Preterm Infants Using Exome-Wide Genetic Variation and Gestational Age: A Pilot Study |
title_sort | prediction of short-term neonatal complications in preterm infants using exome-wide genetic variation and gestational age: a pilot study |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7416450/ https://www.ncbi.nlm.nih.gov/pubmed/32023625 http://dx.doi.org/10.1038/s41390-020-0796-7 |
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