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Mendelian randomization integrating GWAS and eQTL data revealed genes pleiotropically associated with major depressive disorder

Previous genome-wide association studies (GWAS) have identified potential genetic variants associated with the risk of major depressive disorder (MDD), but the underlying biological interpretation remains largely unknown. We aimed to prioritize genes that were pleiotropically or potentially causally...

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Autores principales: Yang, Huarong, Liu, Di, Zhao, Chuntao, Feng, Bowen, Lu, Wenjin, Yang, Xiaohan, Xu, Minglu, Zhou, Weizhu, Jing, Huiquan, Yang, Jingyun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8053199/
https://www.ncbi.nlm.nih.gov/pubmed/33866329
http://dx.doi.org/10.1038/s41398-021-01348-0
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author Yang, Huarong
Liu, Di
Zhao, Chuntao
Feng, Bowen
Lu, Wenjin
Yang, Xiaohan
Xu, Minglu
Zhou, Weizhu
Jing, Huiquan
Yang, Jingyun
author_facet Yang, Huarong
Liu, Di
Zhao, Chuntao
Feng, Bowen
Lu, Wenjin
Yang, Xiaohan
Xu, Minglu
Zhou, Weizhu
Jing, Huiquan
Yang, Jingyun
author_sort Yang, Huarong
collection PubMed
description Previous genome-wide association studies (GWAS) have identified potential genetic variants associated with the risk of major depressive disorder (MDD), but the underlying biological interpretation remains largely unknown. We aimed to prioritize genes that were pleiotropically or potentially causally associated with MDD. We applied the summary data-based Mendelian randomization (SMR) method integrating GWAS and gene expression quantitative trait loci (eQTL) data in 13 brain regions to identify genes that were pleiotropically associated with MDD. In addition, we repeated the analysis by using the meta-analyzed version of the eQTL summary data in the brain (brain-eMeta). We identified multiple significant genes across different brain regions that may be involved in the pathogenesis of MDD. The prime-specific gene BTN3A2 (corresponding probe: ENSG00000186470.9) was the top hit showing pleiotropic association with MDD in 9 of the 13 brain regions and in brain-eMeta, after correction for multiple testing. Many of the identified genes are located in the human major histocompatibility complex (MHC) region on chromosome 6 and are mainly involved in the immune response. Our SMR analysis indicated that multiple genes showed pleiotropic association with MDD across the brain regions. These findings provided important leads to a better understanding of the mechanism of MDD and revealed potential therapeutic targets for the prevention and effective treatment of MDD.
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spelling pubmed-80531992021-05-05 Mendelian randomization integrating GWAS and eQTL data revealed genes pleiotropically associated with major depressive disorder Yang, Huarong Liu, Di Zhao, Chuntao Feng, Bowen Lu, Wenjin Yang, Xiaohan Xu, Minglu Zhou, Weizhu Jing, Huiquan Yang, Jingyun Transl Psychiatry Article Previous genome-wide association studies (GWAS) have identified potential genetic variants associated with the risk of major depressive disorder (MDD), but the underlying biological interpretation remains largely unknown. We aimed to prioritize genes that were pleiotropically or potentially causally associated with MDD. We applied the summary data-based Mendelian randomization (SMR) method integrating GWAS and gene expression quantitative trait loci (eQTL) data in 13 brain regions to identify genes that were pleiotropically associated with MDD. In addition, we repeated the analysis by using the meta-analyzed version of the eQTL summary data in the brain (brain-eMeta). We identified multiple significant genes across different brain regions that may be involved in the pathogenesis of MDD. The prime-specific gene BTN3A2 (corresponding probe: ENSG00000186470.9) was the top hit showing pleiotropic association with MDD in 9 of the 13 brain regions and in brain-eMeta, after correction for multiple testing. Many of the identified genes are located in the human major histocompatibility complex (MHC) region on chromosome 6 and are mainly involved in the immune response. Our SMR analysis indicated that multiple genes showed pleiotropic association with MDD across the brain regions. These findings provided important leads to a better understanding of the mechanism of MDD and revealed potential therapeutic targets for the prevention and effective treatment of MDD. Nature Publishing Group UK 2021-04-17 /pmc/articles/PMC8053199/ /pubmed/33866329 http://dx.doi.org/10.1038/s41398-021-01348-0 Text en © The Author(s) 2021 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 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/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
Yang, Huarong
Liu, Di
Zhao, Chuntao
Feng, Bowen
Lu, Wenjin
Yang, Xiaohan
Xu, Minglu
Zhou, Weizhu
Jing, Huiquan
Yang, Jingyun
Mendelian randomization integrating GWAS and eQTL data revealed genes pleiotropically associated with major depressive disorder
title Mendelian randomization integrating GWAS and eQTL data revealed genes pleiotropically associated with major depressive disorder
title_full Mendelian randomization integrating GWAS and eQTL data revealed genes pleiotropically associated with major depressive disorder
title_fullStr Mendelian randomization integrating GWAS and eQTL data revealed genes pleiotropically associated with major depressive disorder
title_full_unstemmed Mendelian randomization integrating GWAS and eQTL data revealed genes pleiotropically associated with major depressive disorder
title_short Mendelian randomization integrating GWAS and eQTL data revealed genes pleiotropically associated with major depressive disorder
title_sort mendelian randomization integrating gwas and eqtl data revealed genes pleiotropically associated with major depressive disorder
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8053199/
https://www.ncbi.nlm.nih.gov/pubmed/33866329
http://dx.doi.org/10.1038/s41398-021-01348-0
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