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Identification of potential genetic risk factors for bipolar disorder by whole-exome sequencing
This study aims at assessing the burden of rare (minor allele frequency < 1%) predicted damaging variants in the whole exome of 92 bipolar I disorder (BD) patients and 1051 controls of French ancestry. Patients exhibiting an extreme phenotype (earlier onset and family history of mood disorder) we...
Autores principales: | , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6281607/ https://www.ncbi.nlm.nih.gov/pubmed/30518751 http://dx.doi.org/10.1038/s41398-018-0291-7 |
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author | Husson, Thomas Duboc, Jean-Baptiste Quenez, Olivier Charbonnier, Camille Rotharmel, Maud Cuenca, Macarena Jegouzo, Xavier Richard, Anne-Claire Frebourg, Thierry Deleuze, Jean-François Boland, Anne Genin, Emmanuelle Debette, Stéphanie Tzourio, Christophe Campion, Dominique Nicolas, Gaël Guillin, Olivier |
author_facet | Husson, Thomas Duboc, Jean-Baptiste Quenez, Olivier Charbonnier, Camille Rotharmel, Maud Cuenca, Macarena Jegouzo, Xavier Richard, Anne-Claire Frebourg, Thierry Deleuze, Jean-François Boland, Anne Genin, Emmanuelle Debette, Stéphanie Tzourio, Christophe Campion, Dominique Nicolas, Gaël Guillin, Olivier |
author_sort | Husson, Thomas |
collection | PubMed |
description | This study aims at assessing the burden of rare (minor allele frequency < 1%) predicted damaging variants in the whole exome of 92 bipolar I disorder (BD) patients and 1051 controls of French ancestry. Patients exhibiting an extreme phenotype (earlier onset and family history of mood disorder) were preferentially included to increase the power to detect an association. A collapsing strategy was used to test the overall burden of rare variants in cases versus controls at the gene level. Only protein-truncating and predicted damaging missense variants were included in the analysis. Thirteen genes exhibited p values exceeding 10(−3) and could be considered as potential risk factors for BD. Furthermore, the validity of the association was supported when the Exome Aggregation Consortium database non-Finnish European population was used as controls for eight of them. Their gene products are involved in various cerebral processes, some of which were previously implicated in BD and belong to pathways implicated in the therapeutic effect of lithium, the main mood stabilizer. However, exome-wide threshold for association study was not reached, emphasizing that larger samples are needed. |
format | Online Article Text |
id | pubmed-6281607 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-62816072018-12-10 Identification of potential genetic risk factors for bipolar disorder by whole-exome sequencing Husson, Thomas Duboc, Jean-Baptiste Quenez, Olivier Charbonnier, Camille Rotharmel, Maud Cuenca, Macarena Jegouzo, Xavier Richard, Anne-Claire Frebourg, Thierry Deleuze, Jean-François Boland, Anne Genin, Emmanuelle Debette, Stéphanie Tzourio, Christophe Campion, Dominique Nicolas, Gaël Guillin, Olivier Transl Psychiatry Article This study aims at assessing the burden of rare (minor allele frequency < 1%) predicted damaging variants in the whole exome of 92 bipolar I disorder (BD) patients and 1051 controls of French ancestry. Patients exhibiting an extreme phenotype (earlier onset and family history of mood disorder) were preferentially included to increase the power to detect an association. A collapsing strategy was used to test the overall burden of rare variants in cases versus controls at the gene level. Only protein-truncating and predicted damaging missense variants were included in the analysis. Thirteen genes exhibited p values exceeding 10(−3) and could be considered as potential risk factors for BD. Furthermore, the validity of the association was supported when the Exome Aggregation Consortium database non-Finnish European population was used as controls for eight of them. Their gene products are involved in various cerebral processes, some of which were previously implicated in BD and belong to pathways implicated in the therapeutic effect of lithium, the main mood stabilizer. However, exome-wide threshold for association study was not reached, emphasizing that larger samples are needed. Nature Publishing Group UK 2018-12-05 /pmc/articles/PMC6281607/ /pubmed/30518751 http://dx.doi.org/10.1038/s41398-018-0291-7 Text en © The Author(s) 2018 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 license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license 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 license, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Husson, Thomas Duboc, Jean-Baptiste Quenez, Olivier Charbonnier, Camille Rotharmel, Maud Cuenca, Macarena Jegouzo, Xavier Richard, Anne-Claire Frebourg, Thierry Deleuze, Jean-François Boland, Anne Genin, Emmanuelle Debette, Stéphanie Tzourio, Christophe Campion, Dominique Nicolas, Gaël Guillin, Olivier Identification of potential genetic risk factors for bipolar disorder by whole-exome sequencing |
title | Identification of potential genetic risk factors for bipolar disorder by whole-exome sequencing |
title_full | Identification of potential genetic risk factors for bipolar disorder by whole-exome sequencing |
title_fullStr | Identification of potential genetic risk factors for bipolar disorder by whole-exome sequencing |
title_full_unstemmed | Identification of potential genetic risk factors for bipolar disorder by whole-exome sequencing |
title_short | Identification of potential genetic risk factors for bipolar disorder by whole-exome sequencing |
title_sort | identification of potential genetic risk factors for bipolar disorder by whole-exome sequencing |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6281607/ https://www.ncbi.nlm.nih.gov/pubmed/30518751 http://dx.doi.org/10.1038/s41398-018-0291-7 |
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