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Association between 14 candidate genes, PM2.5, and affective disorders: a study of the Taiwan Biobank
BACKGROUND: Most studies have focused on the risk factors, treatment, and care of affective psychosis, and several have reported a relationship between ambient air quality and this psychosis. Although an association has been reported between psychosis and genes, studies mainly explored the associati...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10683147/ https://www.ncbi.nlm.nih.gov/pubmed/38012695 http://dx.doi.org/10.1186/s12889-023-16764-8 |
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author | Ma, Kai-Jie Lin, Yi-Ju Liu, Chiu-Shong Tseng, Pei-Ying Wang, Shi-Heng Yao, Chi-Yu Wang, Jong-Yi |
author_facet | Ma, Kai-Jie Lin, Yi-Ju Liu, Chiu-Shong Tseng, Pei-Ying Wang, Shi-Heng Yao, Chi-Yu Wang, Jong-Yi |
author_sort | Ma, Kai-Jie |
collection | PubMed |
description | BACKGROUND: Most studies have focused on the risk factors, treatment, and care of affective psychosis, and several have reported a relationship between ambient air quality and this psychosis. Although an association has been reported between psychosis and genes, studies mainly explored the associations between one type of psychosis and one gene; few have identified genes related to affective psychosis. This study investigates the genetic and environmental factors of affective psychosis. METHODS: In this retrospective longitudinal study, 27 604 participants aged 30–70 were selected from Taiwan Biobank. The participants’ propensity scores were calculated based on their demographic information, and propensity score matching was performed to divide the participants into an experimental (i.e., affective psychosis) and control group at a 1:5 ratio. Plink was used to analyze the major and minor types of gene expression related to affective psychosis, and PM(2.5) exposure was incorporated into the analyses. RESULTS: According to the generalized estimating equation analysis results, 8 single nucleotide polymorphisms (SNPs) belonging to the ANK3, BDNF, CACNA1C, and GRID1 genotypes were significantly correlated with depressive disorder (P < .001), with the majority belonging to the ANK3 and CACNA1C. A total of 5 SNPs belonging to the CACNA1C, GRID1, and SIRT1 genotypes were significantly correlated with bipolar disorder (P < .001), with the majority belonging to the CACNA1C. No significant correlation was identified between ambient air pollution and affective psychosis. CONCLUSIONS: CACNA1C and GRID1 are common SNP genotypes for depressive disorder and bipolar disorder and should be considered associated with affective psychosis. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12889-023-16764-8. |
format | Online Article Text |
id | pubmed-10683147 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-106831472023-11-30 Association between 14 candidate genes, PM2.5, and affective disorders: a study of the Taiwan Biobank Ma, Kai-Jie Lin, Yi-Ju Liu, Chiu-Shong Tseng, Pei-Ying Wang, Shi-Heng Yao, Chi-Yu Wang, Jong-Yi BMC Public Health Research BACKGROUND: Most studies have focused on the risk factors, treatment, and care of affective psychosis, and several have reported a relationship between ambient air quality and this psychosis. Although an association has been reported between psychosis and genes, studies mainly explored the associations between one type of psychosis and one gene; few have identified genes related to affective psychosis. This study investigates the genetic and environmental factors of affective psychosis. METHODS: In this retrospective longitudinal study, 27 604 participants aged 30–70 were selected from Taiwan Biobank. The participants’ propensity scores were calculated based on their demographic information, and propensity score matching was performed to divide the participants into an experimental (i.e., affective psychosis) and control group at a 1:5 ratio. Plink was used to analyze the major and minor types of gene expression related to affective psychosis, and PM(2.5) exposure was incorporated into the analyses. RESULTS: According to the generalized estimating equation analysis results, 8 single nucleotide polymorphisms (SNPs) belonging to the ANK3, BDNF, CACNA1C, and GRID1 genotypes were significantly correlated with depressive disorder (P < .001), with the majority belonging to the ANK3 and CACNA1C. A total of 5 SNPs belonging to the CACNA1C, GRID1, and SIRT1 genotypes were significantly correlated with bipolar disorder (P < .001), with the majority belonging to the CACNA1C. No significant correlation was identified between ambient air pollution and affective psychosis. CONCLUSIONS: CACNA1C and GRID1 are common SNP genotypes for depressive disorder and bipolar disorder and should be considered associated with affective psychosis. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12889-023-16764-8. BioMed Central 2023-11-27 /pmc/articles/PMC10683147/ /pubmed/38012695 http://dx.doi.org/10.1186/s12889-023-16764-8 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/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Ma, Kai-Jie Lin, Yi-Ju Liu, Chiu-Shong Tseng, Pei-Ying Wang, Shi-Heng Yao, Chi-Yu Wang, Jong-Yi Association between 14 candidate genes, PM2.5, and affective disorders: a study of the Taiwan Biobank |
title | Association between 14 candidate genes, PM2.5, and affective disorders: a study of the Taiwan Biobank |
title_full | Association between 14 candidate genes, PM2.5, and affective disorders: a study of the Taiwan Biobank |
title_fullStr | Association between 14 candidate genes, PM2.5, and affective disorders: a study of the Taiwan Biobank |
title_full_unstemmed | Association between 14 candidate genes, PM2.5, and affective disorders: a study of the Taiwan Biobank |
title_short | Association between 14 candidate genes, PM2.5, and affective disorders: a study of the Taiwan Biobank |
title_sort | association between 14 candidate genes, pm2.5, and affective disorders: a study of the taiwan biobank |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10683147/ https://www.ncbi.nlm.nih.gov/pubmed/38012695 http://dx.doi.org/10.1186/s12889-023-16764-8 |
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