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Genome-wide identification and phenotypic characterization of seizure-associated copy number variations in 741,075 individuals
Copy number variants (CNV) are established risk factors for neurodevelopmental disorders with seizures or epilepsy. With the hypothesis that seizure disorders share genetic risk factors, we pooled CNV data from 10,590 individuals with seizure disorders, 16,109 individuals with clinically validated e...
Autores principales: | , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Nature Publishing Group UK
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10359300/ https://www.ncbi.nlm.nih.gov/pubmed/37474567 http://dx.doi.org/10.1038/s41467-023-39539-6 |
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author | Montanucci, Ludovica Lewis-Smith, David Collins, Ryan L. Niestroj, Lisa-Marie Parthasarathy, Shridhar Xian, Julie Ganesan, Shiva Macnee, Marie Brünger, Tobias Thomas, Rhys H. Talkowski, Michael Helbig, Ingo Leu, Costin Lal, Dennis |
author_facet | Montanucci, Ludovica Lewis-Smith, David Collins, Ryan L. Niestroj, Lisa-Marie Parthasarathy, Shridhar Xian, Julie Ganesan, Shiva Macnee, Marie Brünger, Tobias Thomas, Rhys H. Talkowski, Michael Helbig, Ingo Leu, Costin Lal, Dennis |
author_sort | Montanucci, Ludovica |
collection | PubMed |
description | Copy number variants (CNV) are established risk factors for neurodevelopmental disorders with seizures or epilepsy. With the hypothesis that seizure disorders share genetic risk factors, we pooled CNV data from 10,590 individuals with seizure disorders, 16,109 individuals with clinically validated epilepsy, and 492,324 population controls and identified 25 genome-wide significant loci, 22 of which are novel for seizure disorders, such as deletions at 1p36.33, 1q44, 2p21-p16.3, 3q29, 8p23.3-p23.2, 9p24.3, 10q26.3, 15q11.2, 15q12-q13.1, 16p12.2, 17q21.31, duplications at 2q13, 9q34.3, 16p13.3, 17q12, 19p13.3, 20q13.33, and reciprocal CNVs at 16p11.2, and 22q11.21. Using genetic data from additional 248,751 individuals with 23 neuropsychiatric phenotypes, we explored the pleiotropy of these 25 loci. Finally, in a subset of individuals with epilepsy and detailed clinical data available, we performed phenome-wide association analyses between individual CNVs and clinical annotations categorized through the Human Phenotype Ontology (HPO). For six CNVs, we identified 19 significant associations with specific HPO terms and generated, for all CNVs, phenotype signatures across 17 clinical categories relevant for epileptologists. This is the most comprehensive investigation of CNVs in epilepsy and related seizure disorders, with potential implications for clinical practice. |
format | Online Article Text |
id | pubmed-10359300 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-103593002023-07-22 Genome-wide identification and phenotypic characterization of seizure-associated copy number variations in 741,075 individuals Montanucci, Ludovica Lewis-Smith, David Collins, Ryan L. Niestroj, Lisa-Marie Parthasarathy, Shridhar Xian, Julie Ganesan, Shiva Macnee, Marie Brünger, Tobias Thomas, Rhys H. Talkowski, Michael Helbig, Ingo Leu, Costin Lal, Dennis Nat Commun Article Copy number variants (CNV) are established risk factors for neurodevelopmental disorders with seizures or epilepsy. With the hypothesis that seizure disorders share genetic risk factors, we pooled CNV data from 10,590 individuals with seizure disorders, 16,109 individuals with clinically validated epilepsy, and 492,324 population controls and identified 25 genome-wide significant loci, 22 of which are novel for seizure disorders, such as deletions at 1p36.33, 1q44, 2p21-p16.3, 3q29, 8p23.3-p23.2, 9p24.3, 10q26.3, 15q11.2, 15q12-q13.1, 16p12.2, 17q21.31, duplications at 2q13, 9q34.3, 16p13.3, 17q12, 19p13.3, 20q13.33, and reciprocal CNVs at 16p11.2, and 22q11.21. Using genetic data from additional 248,751 individuals with 23 neuropsychiatric phenotypes, we explored the pleiotropy of these 25 loci. Finally, in a subset of individuals with epilepsy and detailed clinical data available, we performed phenome-wide association analyses between individual CNVs and clinical annotations categorized through the Human Phenotype Ontology (HPO). For six CNVs, we identified 19 significant associations with specific HPO terms and generated, for all CNVs, phenotype signatures across 17 clinical categories relevant for epileptologists. This is the most comprehensive investigation of CNVs in epilepsy and related seizure disorders, with potential implications for clinical practice. Nature Publishing Group UK 2023-07-20 /pmc/articles/PMC10359300/ /pubmed/37474567 http://dx.doi.org/10.1038/s41467-023-39539-6 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This 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 | Article Montanucci, Ludovica Lewis-Smith, David Collins, Ryan L. Niestroj, Lisa-Marie Parthasarathy, Shridhar Xian, Julie Ganesan, Shiva Macnee, Marie Brünger, Tobias Thomas, Rhys H. Talkowski, Michael Helbig, Ingo Leu, Costin Lal, Dennis Genome-wide identification and phenotypic characterization of seizure-associated copy number variations in 741,075 individuals |
title | Genome-wide identification and phenotypic characterization of seizure-associated copy number variations in 741,075 individuals |
title_full | Genome-wide identification and phenotypic characterization of seizure-associated copy number variations in 741,075 individuals |
title_fullStr | Genome-wide identification and phenotypic characterization of seizure-associated copy number variations in 741,075 individuals |
title_full_unstemmed | Genome-wide identification and phenotypic characterization of seizure-associated copy number variations in 741,075 individuals |
title_short | Genome-wide identification and phenotypic characterization of seizure-associated copy number variations in 741,075 individuals |
title_sort | genome-wide identification and phenotypic characterization of seizure-associated copy number variations in 741,075 individuals |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10359300/ https://www.ncbi.nlm.nih.gov/pubmed/37474567 http://dx.doi.org/10.1038/s41467-023-39539-6 |
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