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Genetic Diagnostic Yield and Novel Causal Genes of Congenital Heart Disease
Congenital heart disease (CHD) is the most common congenital malformation in fetuses and neonates, which also represents a leading cause of mortality. Although significant progress has been made by emerging advanced technologies in genetic etiology diagnosis, the causative genetic mechanisms behind...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Frontiers Media S.A.
2022
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9326225/ https://www.ncbi.nlm.nih.gov/pubmed/35910219 http://dx.doi.org/10.3389/fgene.2022.941364 |
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author | Tan, Meihua Wang, Xinrui Liu, Hongjie Peng, Xiaoyan Yang, You Yu, Haifei Xu, Liangpu Li, Jia Cao, Hua |
author_facet | Tan, Meihua Wang, Xinrui Liu, Hongjie Peng, Xiaoyan Yang, You Yu, Haifei Xu, Liangpu Li, Jia Cao, Hua |
author_sort | Tan, Meihua |
collection | PubMed |
description | Congenital heart disease (CHD) is the most common congenital malformation in fetuses and neonates, which also represents a leading cause of mortality. Although significant progress has been made by emerging advanced technologies in genetic etiology diagnosis, the causative genetic mechanisms behind CHD remain poorly understood and more than half of CHD patients lack a genetic diagnosis. Unlike carefully designed large case-control cohorts by multicenter trials, we designed a reliable strategy to analyze case-only cohorts to utilize clinical samples sufficiently. Combined low-coverage whole-genome sequencing (WGS) and whole-exome sequencing (WES) were simultaneously conducted in a patient-only cohort for identifying genetic etiologies and exploring candidate, or potential causative CHD-related genes. A total of 121 sporadic CHD patients were recruited and 34.71% (95% CI, 26.80 to 43.56) was diagnosed with genetic etiologies by low-coverage WGS and WES. Chromosomal abnormalities and damaging variants of CHD-related genes could explain 24.79% (95% CI, 17.92 to 33.22) and 18.18% (95% CI, 12.26 to 26.06) of CHD patients, separately, and 8.26% (95% CI, 4.39 to 14.70) of them have simultaneously detected two types of variants. Deletion of chromosome 22q11.2 and pathogenic variants of the COL3A1 gene were the most common recurrent variants of chromosomal abnormalities and gene variants, respectively. By in-depth manual interpretation, we identified eight candidate CHD-causing genes. Based on rare disease-causing variants prediction and interaction analysis with definitive CHD association genes, we proposed 86 genes as potential CHD-related genes. Gene Ontology (GO) enrichment analysis of the 86 genes revealed regulation-related processes were significantly enriched and processes response to regulation of muscle adaptation might be one of the underlying molecular mechanisms of CHD. Our findings and results provide new insights into research strategies and underlying mechanisms of CHD. |
format | Online Article Text |
id | pubmed-9326225 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-93262252022-07-28 Genetic Diagnostic Yield and Novel Causal Genes of Congenital Heart Disease Tan, Meihua Wang, Xinrui Liu, Hongjie Peng, Xiaoyan Yang, You Yu, Haifei Xu, Liangpu Li, Jia Cao, Hua Front Genet Genetics Congenital heart disease (CHD) is the most common congenital malformation in fetuses and neonates, which also represents a leading cause of mortality. Although significant progress has been made by emerging advanced technologies in genetic etiology diagnosis, the causative genetic mechanisms behind CHD remain poorly understood and more than half of CHD patients lack a genetic diagnosis. Unlike carefully designed large case-control cohorts by multicenter trials, we designed a reliable strategy to analyze case-only cohorts to utilize clinical samples sufficiently. Combined low-coverage whole-genome sequencing (WGS) and whole-exome sequencing (WES) were simultaneously conducted in a patient-only cohort for identifying genetic etiologies and exploring candidate, or potential causative CHD-related genes. A total of 121 sporadic CHD patients were recruited and 34.71% (95% CI, 26.80 to 43.56) was diagnosed with genetic etiologies by low-coverage WGS and WES. Chromosomal abnormalities and damaging variants of CHD-related genes could explain 24.79% (95% CI, 17.92 to 33.22) and 18.18% (95% CI, 12.26 to 26.06) of CHD patients, separately, and 8.26% (95% CI, 4.39 to 14.70) of them have simultaneously detected two types of variants. Deletion of chromosome 22q11.2 and pathogenic variants of the COL3A1 gene were the most common recurrent variants of chromosomal abnormalities and gene variants, respectively. By in-depth manual interpretation, we identified eight candidate CHD-causing genes. Based on rare disease-causing variants prediction and interaction analysis with definitive CHD association genes, we proposed 86 genes as potential CHD-related genes. Gene Ontology (GO) enrichment analysis of the 86 genes revealed regulation-related processes were significantly enriched and processes response to regulation of muscle adaptation might be one of the underlying molecular mechanisms of CHD. Our findings and results provide new insights into research strategies and underlying mechanisms of CHD. Frontiers Media S.A. 2022-07-13 /pmc/articles/PMC9326225/ /pubmed/35910219 http://dx.doi.org/10.3389/fgene.2022.941364 Text en Copyright © 2022 Tan, Wang, Liu, Peng, Yang, Yu, Xu, Li and Cao. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Genetics Tan, Meihua Wang, Xinrui Liu, Hongjie Peng, Xiaoyan Yang, You Yu, Haifei Xu, Liangpu Li, Jia Cao, Hua Genetic Diagnostic Yield and Novel Causal Genes of Congenital Heart Disease |
title | Genetic Diagnostic Yield and Novel Causal Genes of Congenital Heart Disease |
title_full | Genetic Diagnostic Yield and Novel Causal Genes of Congenital Heart Disease |
title_fullStr | Genetic Diagnostic Yield and Novel Causal Genes of Congenital Heart Disease |
title_full_unstemmed | Genetic Diagnostic Yield and Novel Causal Genes of Congenital Heart Disease |
title_short | Genetic Diagnostic Yield and Novel Causal Genes of Congenital Heart Disease |
title_sort | genetic diagnostic yield and novel causal genes of congenital heart disease |
topic | Genetics |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9326225/ https://www.ncbi.nlm.nih.gov/pubmed/35910219 http://dx.doi.org/10.3389/fgene.2022.941364 |
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