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Genetic association study of circadian genes with seasonal pattern in bipolar disorders
About one fourth of patients with bipolar disorders (BD) have depressive episodes with a seasonal pattern (SP) coupled to a more severe disease. However, the underlying genetic influence on a SP in BD remains to be identified. We studied 269 BD Caucasian patients, with and without SP, recruited from...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Nature Publishing Group
2015
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4437291/ https://www.ncbi.nlm.nih.gov/pubmed/25989161 http://dx.doi.org/10.1038/srep10232 |
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author | Geoffroy, Pierre Alexis Lajnef, Mohamed Bellivier, Frank Jamain, Stéphane Gard, Sébastien Kahn, Jean-Pierre Henry, Chantal Leboyer, Marion Etain, Bruno |
author_facet | Geoffroy, Pierre Alexis Lajnef, Mohamed Bellivier, Frank Jamain, Stéphane Gard, Sébastien Kahn, Jean-Pierre Henry, Chantal Leboyer, Marion Etain, Bruno |
author_sort | Geoffroy, Pierre Alexis |
collection | PubMed |
description | About one fourth of patients with bipolar disorders (BD) have depressive episodes with a seasonal pattern (SP) coupled to a more severe disease. However, the underlying genetic influence on a SP in BD remains to be identified. We studied 269 BD Caucasian patients, with and without SP, recruited from university-affiliated psychiatric departments in France and performed a genetic single-marker analysis followed by a gene-based analysis on 349 single nucleotide polymorphisms (SNPs) spanning 21 circadian genes and 3 melatonin pathway genes. A SP in BD was nominally associated with 14 SNPs identified in 6 circadian genes: NPAS2, CRY2, ARNTL, ARNTL2, RORA and RORB. After correcting for multiple testing, using a false discovery rate approach, the associations remained significant for 5 SNPs in NPAS2 (chromosome 2:100793045–100989719): rs6738097 (p(c) = 0.006), rs12622050 (p(c) = 0.006), rs2305159 (p(c) = 0.01), rs1542179 (p(c) = 0.01), and rs1562313 (p(c) = 0.02). The gene-based analysis of the 349 SNPs showed that rs6738097 (NPAS2) and rs1554338 (CRY2) were significantly associated with the SP phenotype (respective Empirical p-values of 0.0003 and 0.005). The associations remained significant for rs6738097 (NPAS2) after Bonferroni correction. The epistasis analysis between rs6738097 (NPAS2) and rs1554338 (CRY2) suggested an additive effect. Genetic variations in NPAS2 might be a biomarker for a seasonal pattern in BD. |
format | Online Article Text |
id | pubmed-4437291 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | Nature Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-44372912015-06-01 Genetic association study of circadian genes with seasonal pattern in bipolar disorders Geoffroy, Pierre Alexis Lajnef, Mohamed Bellivier, Frank Jamain, Stéphane Gard, Sébastien Kahn, Jean-Pierre Henry, Chantal Leboyer, Marion Etain, Bruno Sci Rep Article About one fourth of patients with bipolar disorders (BD) have depressive episodes with a seasonal pattern (SP) coupled to a more severe disease. However, the underlying genetic influence on a SP in BD remains to be identified. We studied 269 BD Caucasian patients, with and without SP, recruited from university-affiliated psychiatric departments in France and performed a genetic single-marker analysis followed by a gene-based analysis on 349 single nucleotide polymorphisms (SNPs) spanning 21 circadian genes and 3 melatonin pathway genes. A SP in BD was nominally associated with 14 SNPs identified in 6 circadian genes: NPAS2, CRY2, ARNTL, ARNTL2, RORA and RORB. After correcting for multiple testing, using a false discovery rate approach, the associations remained significant for 5 SNPs in NPAS2 (chromosome 2:100793045–100989719): rs6738097 (p(c) = 0.006), rs12622050 (p(c) = 0.006), rs2305159 (p(c) = 0.01), rs1542179 (p(c) = 0.01), and rs1562313 (p(c) = 0.02). The gene-based analysis of the 349 SNPs showed that rs6738097 (NPAS2) and rs1554338 (CRY2) were significantly associated with the SP phenotype (respective Empirical p-values of 0.0003 and 0.005). The associations remained significant for rs6738097 (NPAS2) after Bonferroni correction. The epistasis analysis between rs6738097 (NPAS2) and rs1554338 (CRY2) suggested an additive effect. Genetic variations in NPAS2 might be a biomarker for a seasonal pattern in BD. Nature Publishing Group 2015-05-19 /pmc/articles/PMC4437291/ /pubmed/25989161 http://dx.doi.org/10.1038/srep10232 Text en Copyright © 2015, Macmillan Publishers Limited http://creativecommons.org/licenses/by/4.0/ This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ |
spellingShingle | Article Geoffroy, Pierre Alexis Lajnef, Mohamed Bellivier, Frank Jamain, Stéphane Gard, Sébastien Kahn, Jean-Pierre Henry, Chantal Leboyer, Marion Etain, Bruno Genetic association study of circadian genes with seasonal pattern in bipolar disorders |
title | Genetic association study of circadian genes with seasonal pattern in bipolar disorders |
title_full | Genetic association study of circadian genes with seasonal pattern in bipolar disorders |
title_fullStr | Genetic association study of circadian genes with seasonal pattern in bipolar disorders |
title_full_unstemmed | Genetic association study of circadian genes with seasonal pattern in bipolar disorders |
title_short | Genetic association study of circadian genes with seasonal pattern in bipolar disorders |
title_sort | genetic association study of circadian genes with seasonal pattern in bipolar disorders |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4437291/ https://www.ncbi.nlm.nih.gov/pubmed/25989161 http://dx.doi.org/10.1038/srep10232 |
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