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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...

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Autores principales: 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
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2018
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.
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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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