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Epigenomic signature of major congenital heart defects in newborns with Down syndrome
BACKGROUND: Congenital heart defects (CHDs) affect approximately half of individuals with Down syndrome (DS) but the molecular reasons for incomplete penetrance are unknown. Previous studies have largely focused on identifying genetic risk factors associated with CHDs in individuals with DS, but com...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Cold Spring Harbor Laboratory
2023
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10187438/ https://www.ncbi.nlm.nih.gov/pubmed/37205408 http://dx.doi.org/10.1101/2023.05.02.23289417 |
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author | Mouat, Julia S. Li, Shaobo Myint, Swe Swe Laufer, Benjamin I. Lupo, Philip J. Schraw, Jeremy M. Woodhouse, John P. de Smith, Adam J. LaSalle, Janine M. |
author_facet | Mouat, Julia S. Li, Shaobo Myint, Swe Swe Laufer, Benjamin I. Lupo, Philip J. Schraw, Jeremy M. Woodhouse, John P. de Smith, Adam J. LaSalle, Janine M. |
author_sort | Mouat, Julia S. |
collection | PubMed |
description | BACKGROUND: Congenital heart defects (CHDs) affect approximately half of individuals with Down syndrome (DS) but the molecular reasons for incomplete penetrance are unknown. Previous studies have largely focused on identifying genetic risk factors associated with CHDs in individuals with DS, but comprehensive studies of the contribution of epigenetic marks are lacking. We aimed to identify and characterize DNA methylation differences from newborn dried blood spots (NDBS) of DS individuals with major CHDs compared to DS individuals without CHDs. METHODS: We used the Illumina EPIC array and whole-genome bisulfite sequencing (WGBS) to quantitate DNA methylation for 86 NDBS samples from the California Biobank Program: 1) 45 DS-CHD (27 female, 18 male) and 2) 41 DS non-CHD (27 female, 14 male). We analyzed global CpG methylation and identified differentially methylated regions (DMRs) in DS-CHD vs DS non-CHD comparisons (both sex-combined and sex-stratified) corrected for sex, age of blood collection, and cell type proportions. CHD DMRs were analyzed for enrichment in CpG and genic contexts, chromatin states, and histone modifications by genomic coordinates and for gene ontology enrichment by gene mapping. DMRs were also tested in a replication dataset and compared to methylation levels in DS vs typical development (TD) WGBS NDBS samples. RESULTS: We found global CpG hypomethylation in DS-CHD males compared to DS non-CHD males, which was attributable to elevated levels of nucleated red blood cells and not seen in females. At a regional level, we identified 58, 341, and 3,938 CHD-associated DMRs in the Sex Combined, Females Only, and Males Only groups, respectively, and used machine learning algorithms to select 19 Males Only loci that could distinguish CHD from non-CHD. DMRs in all comparisons were enriched for gene exons, CpG islands, and bivalent chromatin and mapped to genes enriched for terms related to cardiac and immune functions. Lastly, a greater percentage of CHD-associated DMRs than background regions were differentially methylated in DS vs TD samples. CONCLUSIONS: A sex-specific signature of DNA methylation was detected in NDBS of DS-CHD compared to DS non-CHD individuals. This supports the hypothesis that epigenetics can reflect the variability of phenotypes in DS, particularly CHDs. |
format | Online Article Text |
id | pubmed-10187438 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Cold Spring Harbor Laboratory |
record_format | MEDLINE/PubMed |
spelling | pubmed-101874382023-05-17 Epigenomic signature of major congenital heart defects in newborns with Down syndrome Mouat, Julia S. Li, Shaobo Myint, Swe Swe Laufer, Benjamin I. Lupo, Philip J. Schraw, Jeremy M. Woodhouse, John P. de Smith, Adam J. LaSalle, Janine M. medRxiv Article BACKGROUND: Congenital heart defects (CHDs) affect approximately half of individuals with Down syndrome (DS) but the molecular reasons for incomplete penetrance are unknown. Previous studies have largely focused on identifying genetic risk factors associated with CHDs in individuals with DS, but comprehensive studies of the contribution of epigenetic marks are lacking. We aimed to identify and characterize DNA methylation differences from newborn dried blood spots (NDBS) of DS individuals with major CHDs compared to DS individuals without CHDs. METHODS: We used the Illumina EPIC array and whole-genome bisulfite sequencing (WGBS) to quantitate DNA methylation for 86 NDBS samples from the California Biobank Program: 1) 45 DS-CHD (27 female, 18 male) and 2) 41 DS non-CHD (27 female, 14 male). We analyzed global CpG methylation and identified differentially methylated regions (DMRs) in DS-CHD vs DS non-CHD comparisons (both sex-combined and sex-stratified) corrected for sex, age of blood collection, and cell type proportions. CHD DMRs were analyzed for enrichment in CpG and genic contexts, chromatin states, and histone modifications by genomic coordinates and for gene ontology enrichment by gene mapping. DMRs were also tested in a replication dataset and compared to methylation levels in DS vs typical development (TD) WGBS NDBS samples. RESULTS: We found global CpG hypomethylation in DS-CHD males compared to DS non-CHD males, which was attributable to elevated levels of nucleated red blood cells and not seen in females. At a regional level, we identified 58, 341, and 3,938 CHD-associated DMRs in the Sex Combined, Females Only, and Males Only groups, respectively, and used machine learning algorithms to select 19 Males Only loci that could distinguish CHD from non-CHD. DMRs in all comparisons were enriched for gene exons, CpG islands, and bivalent chromatin and mapped to genes enriched for terms related to cardiac and immune functions. Lastly, a greater percentage of CHD-associated DMRs than background regions were differentially methylated in DS vs TD samples. CONCLUSIONS: A sex-specific signature of DNA methylation was detected in NDBS of DS-CHD compared to DS non-CHD individuals. This supports the hypothesis that epigenetics can reflect the variability of phenotypes in DS, particularly CHDs. Cold Spring Harbor Laboratory 2023-05-05 /pmc/articles/PMC10187438/ /pubmed/37205408 http://dx.doi.org/10.1101/2023.05.02.23289417 Text en https://creativecommons.org/licenses/by-nc/4.0/This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License (https://creativecommons.org/licenses/by-nc/4.0/) , which allows reusers to distribute, remix, adapt, and build upon the material in any medium or format for noncommercial purposes only, and only so long as attribution is given to the creator. |
spellingShingle | Article Mouat, Julia S. Li, Shaobo Myint, Swe Swe Laufer, Benjamin I. Lupo, Philip J. Schraw, Jeremy M. Woodhouse, John P. de Smith, Adam J. LaSalle, Janine M. Epigenomic signature of major congenital heart defects in newborns with Down syndrome |
title | Epigenomic signature of major congenital heart defects in newborns with Down syndrome |
title_full | Epigenomic signature of major congenital heart defects in newborns with Down syndrome |
title_fullStr | Epigenomic signature of major congenital heart defects in newborns with Down syndrome |
title_full_unstemmed | Epigenomic signature of major congenital heart defects in newborns with Down syndrome |
title_short | Epigenomic signature of major congenital heart defects in newborns with Down syndrome |
title_sort | epigenomic signature of major congenital heart defects in newborns with down syndrome |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10187438/ https://www.ncbi.nlm.nih.gov/pubmed/37205408 http://dx.doi.org/10.1101/2023.05.02.23289417 |
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