Identification of the DNA methylation signature of Mowat-Wilson syndrome
Mowat-Wilson syndrome (MOWS) is a rare congenital disease caused by haploinsufficiency of ZEB2, encoding a transcription factor required for neurodevelopment. MOWS is characterized by intellectual disability, epilepsy, typical facial phenotype and other anomalies, such as short stature, Hirschsprung...
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creator | Caraffi, Stefano Giuseppe van der Laan, Liselot Rooney, Kathleen Trajkova, Slavica Zuntini, Roberta Relator, Raissa Haghshenas, Sadegheh Levy, Michael A Baldo, Chiara Mandrile, Giorgia Lauzon, Carolyn Cordelli, Duccio Maria Ivanovski, Ivan Fetta, Anna Sukarova, Elena Brusco, Alfredo Pavinato, Lisa Pullano, Verdiana Zollino, Marcella McConkey, Haley Tartaglia, Marco Ferrero, Giovanni Battista Sadikovic, Bekim Garavelli, Livia |
description | Mowat-Wilson syndrome (MOWS) is a rare congenital disease caused by haploinsufficiency of ZEB2, encoding a transcription factor required for neurodevelopment. MOWS is characterized by intellectual disability, epilepsy, typical facial phenotype and other anomalies, such as short stature, Hirschsprung disease, brain and heart defects. Despite some recognizable features, MOWS rarity and phenotypic variability may complicate its diagnosis, particularly in the neonatal period. In order to define a novel diagnostic biomarker for MOWS, we determined the genome-wide DNA methylation profile of DNA samples from 29 individuals with confirmed clinical and molecular diagnosis. Through multidimensional scaling and hierarchical clustering analysis, we identified and validated a DNA methylation signature involving 296 differentially methylated probes as part of the broader MOWS DNA methylation profile. The prevalence of hypomethylated CpG sites agrees with the main role of ZEB2 as a transcriptional repressor, while differential methylation within the ZEB2 locus supports the previously proposed autoregulation ability. Correlation studies compared the MOWS cohort with 56 previously described DNA methylation profiles of other neurodevelopmental disorders, further validating the specificity of this biomarker. In conclusion, MOWS DNA methylation signature is highly sensitive and reproducible, providing a useful tool to facilitate diagnosis. |
doi_str_mv | 10.1038/s41431-024-01548-4 |
format | Article |
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MOWS is characterized by intellectual disability, epilepsy, typical facial phenotype and other anomalies, such as short stature, Hirschsprung disease, brain and heart defects. Despite some recognizable features, MOWS rarity and phenotypic variability may complicate its diagnosis, particularly in the neonatal period. In order to define a novel diagnostic biomarker for MOWS, we determined the genome-wide DNA methylation profile of DNA samples from 29 individuals with confirmed clinical and molecular diagnosis. Through multidimensional scaling and hierarchical clustering analysis, we identified and validated a DNA methylation signature involving 296 differentially methylated probes as part of the broader MOWS DNA methylation profile. The prevalence of hypomethylated CpG sites agrees with the main role of ZEB2 as a transcriptional repressor, while differential methylation within the ZEB2 locus supports the previously proposed autoregulation ability. Correlation studies compared the MOWS cohort with 56 previously described DNA methylation profiles of other neurodevelopmental disorders, further validating the specificity of this biomarker. In conclusion, MOWS DNA methylation signature is highly sensitive and reproducible, providing a useful tool to facilitate diagnosis.</description><identifier>ISSN: 1018-4813</identifier><identifier>ISSN: 1476-5438</identifier><identifier>EISSN: 1476-5438</identifier><identifier>DOI: 10.1038/s41431-024-01548-4</identifier><identifier>PMID: 38351292</identifier><language>eng</language><publisher>England: Nature Publishing Group</publisher><subject>Biomarkers ; CpG islands ; Diagnosis ; DNA methylation ; DNA probes ; Epilepsy ; Genetic testing ; Genetic variability ; Haploinsufficiency ; Heart diseases ; Hirschsprung's disease ; Intellectual disabilities ; Multidimensional scaling ; Neonates ; Neurodevelopment ; Neurodevelopmental disorders ; Phenotypes</subject><ispartof>European journal of human genetics : EJHG, 2024-02, Vol.32 (6), p.619-629</ispartof><rights>2024. The Author(s).</rights><rights>The Author(s) 2024. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). 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MOWS is characterized by intellectual disability, epilepsy, typical facial phenotype and other anomalies, such as short stature, Hirschsprung disease, brain and heart defects. Despite some recognizable features, MOWS rarity and phenotypic variability may complicate its diagnosis, particularly in the neonatal period. In order to define a novel diagnostic biomarker for MOWS, we determined the genome-wide DNA methylation profile of DNA samples from 29 individuals with confirmed clinical and molecular diagnosis. Through multidimensional scaling and hierarchical clustering analysis, we identified and validated a DNA methylation signature involving 296 differentially methylated probes as part of the broader MOWS DNA methylation profile. The prevalence of hypomethylated CpG sites agrees with the main role of ZEB2 as a transcriptional repressor, while differential methylation within the ZEB2 locus supports the previously proposed autoregulation ability. Correlation studies compared the MOWS cohort with 56 previously described DNA methylation profiles of other neurodevelopmental disorders, further validating the specificity of this biomarker. In conclusion, MOWS DNA methylation signature is highly sensitive and reproducible, providing a useful tool to facilitate diagnosis.</description><subject>Biomarkers</subject><subject>CpG islands</subject><subject>Diagnosis</subject><subject>DNA methylation</subject><subject>DNA probes</subject><subject>Epilepsy</subject><subject>Genetic testing</subject><subject>Genetic variability</subject><subject>Haploinsufficiency</subject><subject>Heart diseases</subject><subject>Hirschsprung's disease</subject><subject>Intellectual disabilities</subject><subject>Multidimensional scaling</subject><subject>Neonates</subject><subject>Neurodevelopment</subject><subject>Neurodevelopmental disorders</subject><subject>Phenotypes</subject><issn>1018-4813</issn><issn>1476-5438</issn><issn>1476-5438</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2024</creationdate><recordtype>article</recordtype><recordid>eNpdUctOwzAQtBAIyuMHOKBKXLgEdmM7TU-o4i3xuIA4Wo6zoa6SuNgJqH-PSwEBJ1s7s6OZHcb2EY4ReH4SBAqOCaQiAZQiT8QaG6AYZYkUPF-Pf8A4zJFvse0QZgARHOEm2-I5l5iO0wG7vimp7Wxlje6sa4euGnZTGp7fT4YNddNFvRoH-9Lqrve0JNy5d90lz7YOS2TRlt41tMs2Kl0H2vt6d9jT5cXj2XVy-3B1cza5TUz02iUiI9CZFqaAsUyLlJdlrjmNkHhWAMjCSAKBaallSuMKsSxMNiqEIS1KMeZ8h52udOd90VBponuvazX3ttF-oZy26i_S2ql6cW8KEWVMLaPC0ZeCd689hU41Nhiqa92S64OKd8kkRncQqYf_qDPX-zbmUxyyeGkOICIrXbGMdyF4qn7cIKhlU2rVlIpNqc-m1HLp4HeOn5XvavgHYAqPJg</recordid><startdate>20240213</startdate><enddate>20240213</enddate><creator>Caraffi, Stefano Giuseppe</creator><creator>van der Laan, Liselot</creator><creator>Rooney, Kathleen</creator><creator>Trajkova, Slavica</creator><creator>Zuntini, Roberta</creator><creator>Relator, Raissa</creator><creator>Haghshenas, Sadegheh</creator><creator>Levy, Michael A</creator><creator>Baldo, Chiara</creator><creator>Mandrile, Giorgia</creator><creator>Lauzon, Carolyn</creator><creator>Cordelli, Duccio Maria</creator><creator>Ivanovski, Ivan</creator><creator>Fetta, Anna</creator><creator>Sukarova, Elena</creator><creator>Brusco, Alfredo</creator><creator>Pavinato, Lisa</creator><creator>Pullano, Verdiana</creator><creator>Zollino, Marcella</creator><creator>McConkey, Haley</creator><creator>Tartaglia, Marco</creator><creator>Ferrero, Giovanni Battista</creator><creator>Sadikovic, Bekim</creator><creator>Garavelli, Livia</creator><general>Nature Publishing Group</general><general>Springer International Publishing</general><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>8FD</scope><scope>FR3</scope><scope>K9.</scope><scope>P64</scope><scope>RC3</scope><scope>7X8</scope><scope>5PM</scope><orcidid>https://orcid.org/0000-0002-0409-9832</orcidid><orcidid>https://orcid.org/0000-0003-0849-2225</orcidid><orcidid>https://orcid.org/0000-0002-7630-8365</orcidid><orcidid>https://orcid.org/0000-0002-7871-8982</orcidid><orcidid>https://orcid.org/0000-0003-4871-9519</orcidid><orcidid>https://orcid.org/0000-0002-5033-7854</orcidid><orcidid>https://orcid.org/0000-0002-7800-8665</orcidid><orcidid>https://orcid.org/0000-0001-9702-3994</orcidid><orcidid>https://orcid.org/0000-0002-8318-7231</orcidid><orcidid>https://orcid.org/0000-0001-6363-0016</orcidid><orcidid>https://orcid.org/0000-0001-7736-9672</orcidid><orcidid>https://orcid.org/0000-0002-7684-3982</orcidid></search><sort><creationdate>20240213</creationdate><title>Identification of the DNA methylation signature of Mowat-Wilson syndrome</title><author>Caraffi, Stefano Giuseppe ; 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MOWS is characterized by intellectual disability, epilepsy, typical facial phenotype and other anomalies, such as short stature, Hirschsprung disease, brain and heart defects. Despite some recognizable features, MOWS rarity and phenotypic variability may complicate its diagnosis, particularly in the neonatal period. In order to define a novel diagnostic biomarker for MOWS, we determined the genome-wide DNA methylation profile of DNA samples from 29 individuals with confirmed clinical and molecular diagnosis. Through multidimensional scaling and hierarchical clustering analysis, we identified and validated a DNA methylation signature involving 296 differentially methylated probes as part of the broader MOWS DNA methylation profile. The prevalence of hypomethylated CpG sites agrees with the main role of ZEB2 as a transcriptional repressor, while differential methylation within the ZEB2 locus supports the previously proposed autoregulation ability. Correlation studies compared the MOWS cohort with 56 previously described DNA methylation profiles of other neurodevelopmental disorders, further validating the specificity of this biomarker. 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subjects | Biomarkers CpG islands Diagnosis DNA methylation DNA probes Epilepsy Genetic testing Genetic variability Haploinsufficiency Heart diseases Hirschsprung's disease Intellectual disabilities Multidimensional scaling Neonates Neurodevelopment Neurodevelopmental disorders Phenotypes |
title | Identification of the DNA methylation signature of Mowat-Wilson syndrome |
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