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Multi-trait analysis for genome-wide association study of five psychiatric disorders
We conducted a cross-trait meta-analysis of genome-wide association study on schizophrenia (SCZ) (n = 65,967), bipolar disorder (BD) (n = 41,653), autism spectrum disorder (ASD) (n = 46,350), attention deficit hyperactivity disorder (ADHD) (n = 55,374), and depression (DEP) (n = 688,809). After the...
Autores principales: | , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7326916/ https://www.ncbi.nlm.nih.gov/pubmed/32606422 http://dx.doi.org/10.1038/s41398-020-00902-6 |
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author | Wu, Yulu Cao, Hongbao Baranova, Ancha Huang, Hailiang Li, Sheng Cai, Lei Rao, Shuquan Dai, Minhan Xie, Min Dou, Yikai Hao, Qinjian Zhu, Ling Zhang, Xiangrong Yao, Yin Xu, Mingqing Wang, Qiang Zhang, Fuquan |
author_facet | Wu, Yulu Cao, Hongbao Baranova, Ancha Huang, Hailiang Li, Sheng Cai, Lei Rao, Shuquan Dai, Minhan Xie, Min Dou, Yikai Hao, Qinjian Zhu, Ling Zhang, Xiangrong Yao, Yin Xu, Mingqing Wang, Qiang Zhang, Fuquan |
author_sort | Wu, Yulu |
collection | PubMed |
description | We conducted a cross-trait meta-analysis of genome-wide association study on schizophrenia (SCZ) (n = 65,967), bipolar disorder (BD) (n = 41,653), autism spectrum disorder (ASD) (n = 46,350), attention deficit hyperactivity disorder (ADHD) (n = 55,374), and depression (DEP) (n = 688,809). After the meta-analysis, the number of genomic loci increased from 14 to 19 in ADHD, from 3 to 10 in ASD, from 45 to 57 in DEP, from 8 to 54 in BD, and from 64 to 87 in SCZ. We observed significant enrichment of overlapping genes among different disorders and identified a panel of cross-disorder genes. A total of seven genes were found being commonly associated with four out of five psychiatric conditions, namely GABBR1, GLT8D1, HIST1H1B, HIST1H2BN, HIST1H4L, KCNB1, and DCC. The SORCS3 gene was highlighted due to the fact that it was involved in all the five conditions of study. Analysis of correlations unveiled the existence of two clusters of related psychiatric conditions, SCZ and BD that were separate from the other three traits, and formed another group. Our results may provide a new insight for genetic basis of the five psychiatric disorders. |
format | Online Article Text |
id | pubmed-7326916 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-73269162020-07-06 Multi-trait analysis for genome-wide association study of five psychiatric disorders Wu, Yulu Cao, Hongbao Baranova, Ancha Huang, Hailiang Li, Sheng Cai, Lei Rao, Shuquan Dai, Minhan Xie, Min Dou, Yikai Hao, Qinjian Zhu, Ling Zhang, Xiangrong Yao, Yin Xu, Mingqing Wang, Qiang Zhang, Fuquan Transl Psychiatry Article We conducted a cross-trait meta-analysis of genome-wide association study on schizophrenia (SCZ) (n = 65,967), bipolar disorder (BD) (n = 41,653), autism spectrum disorder (ASD) (n = 46,350), attention deficit hyperactivity disorder (ADHD) (n = 55,374), and depression (DEP) (n = 688,809). After the meta-analysis, the number of genomic loci increased from 14 to 19 in ADHD, from 3 to 10 in ASD, from 45 to 57 in DEP, from 8 to 54 in BD, and from 64 to 87 in SCZ. We observed significant enrichment of overlapping genes among different disorders and identified a panel of cross-disorder genes. A total of seven genes were found being commonly associated with four out of five psychiatric conditions, namely GABBR1, GLT8D1, HIST1H1B, HIST1H2BN, HIST1H4L, KCNB1, and DCC. The SORCS3 gene was highlighted due to the fact that it was involved in all the five conditions of study. Analysis of correlations unveiled the existence of two clusters of related psychiatric conditions, SCZ and BD that were separate from the other three traits, and formed another group. Our results may provide a new insight for genetic basis of the five psychiatric disorders. Nature Publishing Group UK 2020-06-30 /pmc/articles/PMC7326916/ /pubmed/32606422 http://dx.doi.org/10.1038/s41398-020-00902-6 Text en © The Author(s) 2020 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 Wu, Yulu Cao, Hongbao Baranova, Ancha Huang, Hailiang Li, Sheng Cai, Lei Rao, Shuquan Dai, Minhan Xie, Min Dou, Yikai Hao, Qinjian Zhu, Ling Zhang, Xiangrong Yao, Yin Xu, Mingqing Wang, Qiang Zhang, Fuquan Multi-trait analysis for genome-wide association study of five psychiatric disorders |
title | Multi-trait analysis for genome-wide association study of five psychiatric disorders |
title_full | Multi-trait analysis for genome-wide association study of five psychiatric disorders |
title_fullStr | Multi-trait analysis for genome-wide association study of five psychiatric disorders |
title_full_unstemmed | Multi-trait analysis for genome-wide association study of five psychiatric disorders |
title_short | Multi-trait analysis for genome-wide association study of five psychiatric disorders |
title_sort | multi-trait analysis for genome-wide association study of five psychiatric disorders |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7326916/ https://www.ncbi.nlm.nih.gov/pubmed/32606422 http://dx.doi.org/10.1038/s41398-020-00902-6 |
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