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Trait − driven analysis of the 2p15p16.1 microdeletion syndrome suggests a complex pattern of interactions between candidate genes
BACKGROUND: Individuals with the 2p15p16.1 microdeletion syndrome share a complex phenotype including neurodevelopmental delay, brain malformations, microcephaly, and autistic behavior. The analysis of the shortest region of overlap (SRO) between deletions in ~ 40 patients has led to the identificat...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Nature Singapore
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10027778/ https://www.ncbi.nlm.nih.gov/pubmed/36807877 http://dx.doi.org/10.1007/s13258-023-01369-7 |
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author | Miceli, Martina Failla, Pinella Saccuzzo, Lucia Galesi, Ornella Amata, Silvestra Romano, Corrado Bonaglia, Maria Clara Fichera, Marco |
author_facet | Miceli, Martina Failla, Pinella Saccuzzo, Lucia Galesi, Ornella Amata, Silvestra Romano, Corrado Bonaglia, Maria Clara Fichera, Marco |
author_sort | Miceli, Martina |
collection | PubMed |
description | BACKGROUND: Individuals with the 2p15p16.1 microdeletion syndrome share a complex phenotype including neurodevelopmental delay, brain malformations, microcephaly, and autistic behavior. The analysis of the shortest region of overlap (SRO) between deletions in ~ 40 patients has led to the identification of two critical regions and four strongly candidate genes (BCL11A, REL, USP34 and XPO1). However, the delineation of their role in the occurrence of specific traits is hampered by their incomplete penetrance. OBJECTIVE: To better delineate the role of hemizygosity of specific regions in selected traits by leveraging information both from penetrant and non − penetrant deletions. METHODS: Deletions in patients that do not present a specific trait cannot contribute to delineate the SROs. We recently developed a probabilistic model that, by considering also the non − penetrant deletions, allows a more reliable assignment of peculiar traits to specific genomic segments. We apply this method adding two new patients to the published cases. RESULTS: Our results delineate an intricate pattern of genotype − phenotype correlation where BCL11A emerges as the main gene for autistic behavior while USP34 and/or XPO1 haploinsufficiency are mainly associated with microcephaly, hearing loss and IUGR. BCL11A, USP34 and XPO1 genes are broadly related with brain malformations albeit with distinct patterns of brain damage. CONCLUSIONS: The observed penetrance of deletions encompassing different SROs and that predicted when considering each single SRO as acting independently, may reflect a more complex model than the additive one. Our approach may improve the genotype/phenotype correlation and may help to identify specific pathogenic mechanisms in contiguous gene syndromes. |
format | Online Article Text |
id | pubmed-10027778 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Springer Nature Singapore |
record_format | MEDLINE/PubMed |
spelling | pubmed-100277782023-03-22 Trait − driven analysis of the 2p15p16.1 microdeletion syndrome suggests a complex pattern of interactions between candidate genes Miceli, Martina Failla, Pinella Saccuzzo, Lucia Galesi, Ornella Amata, Silvestra Romano, Corrado Bonaglia, Maria Clara Fichera, Marco Genes Genomics Research Article BACKGROUND: Individuals with the 2p15p16.1 microdeletion syndrome share a complex phenotype including neurodevelopmental delay, brain malformations, microcephaly, and autistic behavior. The analysis of the shortest region of overlap (SRO) between deletions in ~ 40 patients has led to the identification of two critical regions and four strongly candidate genes (BCL11A, REL, USP34 and XPO1). However, the delineation of their role in the occurrence of specific traits is hampered by their incomplete penetrance. OBJECTIVE: To better delineate the role of hemizygosity of specific regions in selected traits by leveraging information both from penetrant and non − penetrant deletions. METHODS: Deletions in patients that do not present a specific trait cannot contribute to delineate the SROs. We recently developed a probabilistic model that, by considering also the non − penetrant deletions, allows a more reliable assignment of peculiar traits to specific genomic segments. We apply this method adding two new patients to the published cases. RESULTS: Our results delineate an intricate pattern of genotype − phenotype correlation where BCL11A emerges as the main gene for autistic behavior while USP34 and/or XPO1 haploinsufficiency are mainly associated with microcephaly, hearing loss and IUGR. BCL11A, USP34 and XPO1 genes are broadly related with brain malformations albeit with distinct patterns of brain damage. CONCLUSIONS: The observed penetrance of deletions encompassing different SROs and that predicted when considering each single SRO as acting independently, may reflect a more complex model than the additive one. Our approach may improve the genotype/phenotype correlation and may help to identify specific pathogenic mechanisms in contiguous gene syndromes. Springer Nature Singapore 2023-02-20 2023 /pmc/articles/PMC10027778/ /pubmed/36807877 http://dx.doi.org/10.1007/s13258-023-01369-7 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Research Article Miceli, Martina Failla, Pinella Saccuzzo, Lucia Galesi, Ornella Amata, Silvestra Romano, Corrado Bonaglia, Maria Clara Fichera, Marco Trait − driven analysis of the 2p15p16.1 microdeletion syndrome suggests a complex pattern of interactions between candidate genes |
title | Trait − driven analysis of the 2p15p16.1 microdeletion syndrome suggests a complex pattern of interactions between candidate genes |
title_full | Trait − driven analysis of the 2p15p16.1 microdeletion syndrome suggests a complex pattern of interactions between candidate genes |
title_fullStr | Trait − driven analysis of the 2p15p16.1 microdeletion syndrome suggests a complex pattern of interactions between candidate genes |
title_full_unstemmed | Trait − driven analysis of the 2p15p16.1 microdeletion syndrome suggests a complex pattern of interactions between candidate genes |
title_short | Trait − driven analysis of the 2p15p16.1 microdeletion syndrome suggests a complex pattern of interactions between candidate genes |
title_sort | trait − driven analysis of the 2p15p16.1 microdeletion syndrome suggests a complex pattern of interactions between candidate genes |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10027778/ https://www.ncbi.nlm.nih.gov/pubmed/36807877 http://dx.doi.org/10.1007/s13258-023-01369-7 |
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