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Gene-based association analysis identifies 190 genes affecting neuroticism
Neuroticism is a personality trait, which is an important risk factor for psychiatric disorders. Recent genome-wide studies reported about 600 genes potentially influencing neuroticism. Little is known about the mechanisms of their action. Here, we aimed to conduct a more detailed analysis of genes...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7844228/ https://www.ncbi.nlm.nih.gov/pubmed/33510330 http://dx.doi.org/10.1038/s41598-021-82123-5 |
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author | Belonogova, Nadezhda M. Zorkoltseva, Irina V. Tsepilov, Yakov A. Axenovich, Tatiana I. |
author_facet | Belonogova, Nadezhda M. Zorkoltseva, Irina V. Tsepilov, Yakov A. Axenovich, Tatiana I. |
author_sort | Belonogova, Nadezhda M. |
collection | PubMed |
description | Neuroticism is a personality trait, which is an important risk factor for psychiatric disorders. Recent genome-wide studies reported about 600 genes potentially influencing neuroticism. Little is known about the mechanisms of their action. Here, we aimed to conduct a more detailed analysis of genes that can regulate the level of neuroticism. Using UK Biobank-based GWAS summary statistics, we performed a gene-based association analysis using four sets of within-gene variants, each set possessing specific protein-coding properties. To guard against the influence of strong GWAS signals outside the gene, we used a specially designed procedure called “polygene pruning”. As a result, we identified 190 genes associated with neuroticism due to the effect of within-gene variants rather than strong GWAS signals outside the gene. Thirty eight of these genes are new. Within all genes identified, we distinguished two slightly overlapping groups obtained from using protein-coding and non-coding variants. Many genes in the former group included potentially pathogenic variants. For some genes in the latter group, we found evidence of pleiotropy with gene expression. Using a bioinformatics analysis, we prioritized the neuroticism genes and showed that the genes that contribute to neuroticism through their within-gene variants are the most appropriate candidate genes. |
format | Online Article Text |
id | pubmed-7844228 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-78442282021-02-01 Gene-based association analysis identifies 190 genes affecting neuroticism Belonogova, Nadezhda M. Zorkoltseva, Irina V. Tsepilov, Yakov A. Axenovich, Tatiana I. Sci Rep Article Neuroticism is a personality trait, which is an important risk factor for psychiatric disorders. Recent genome-wide studies reported about 600 genes potentially influencing neuroticism. Little is known about the mechanisms of their action. Here, we aimed to conduct a more detailed analysis of genes that can regulate the level of neuroticism. Using UK Biobank-based GWAS summary statistics, we performed a gene-based association analysis using four sets of within-gene variants, each set possessing specific protein-coding properties. To guard against the influence of strong GWAS signals outside the gene, we used a specially designed procedure called “polygene pruning”. As a result, we identified 190 genes associated with neuroticism due to the effect of within-gene variants rather than strong GWAS signals outside the gene. Thirty eight of these genes are new. Within all genes identified, we distinguished two slightly overlapping groups obtained from using protein-coding and non-coding variants. Many genes in the former group included potentially pathogenic variants. For some genes in the latter group, we found evidence of pleiotropy with gene expression. Using a bioinformatics analysis, we prioritized the neuroticism genes and showed that the genes that contribute to neuroticism through their within-gene variants are the most appropriate candidate genes. Nature Publishing Group UK 2021-01-28 /pmc/articles/PMC7844228/ /pubmed/33510330 http://dx.doi.org/10.1038/s41598-021-82123-5 Text en © The Author(s) 2021 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/. |
spellingShingle | Article Belonogova, Nadezhda M. Zorkoltseva, Irina V. Tsepilov, Yakov A. Axenovich, Tatiana I. Gene-based association analysis identifies 190 genes affecting neuroticism |
title | Gene-based association analysis identifies 190 genes affecting neuroticism |
title_full | Gene-based association analysis identifies 190 genes affecting neuroticism |
title_fullStr | Gene-based association analysis identifies 190 genes affecting neuroticism |
title_full_unstemmed | Gene-based association analysis identifies 190 genes affecting neuroticism |
title_short | Gene-based association analysis identifies 190 genes affecting neuroticism |
title_sort | gene-based association analysis identifies 190 genes affecting neuroticism |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7844228/ https://www.ncbi.nlm.nih.gov/pubmed/33510330 http://dx.doi.org/10.1038/s41598-021-82123-5 |
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