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Polygenic scores for psychiatric disorders in a diverse postmortem brain tissue cohort
A new era of human postmortem tissue research has emerged thanks to the development of ‘omics technologies that measure genes, proteins, and spatial parameters in unprecedented detail. Also newly possible is the ability to construct polygenic scores, individual-level metrics of genetic risk (also kn...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer International Publishing
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10066241/ https://www.ncbi.nlm.nih.gov/pubmed/36694041 http://dx.doi.org/10.1038/s41386-022-01524-w |
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author | Duncan, Laramie Shen, Hanyang Schulmann, Anton Li, Tayden Kolachana, Bhaskar Mandal, Ajeet Feng, Ningping Auluck, Pavan Marenco, Stefano |
author_facet | Duncan, Laramie Shen, Hanyang Schulmann, Anton Li, Tayden Kolachana, Bhaskar Mandal, Ajeet Feng, Ningping Auluck, Pavan Marenco, Stefano |
author_sort | Duncan, Laramie |
collection | PubMed |
description | A new era of human postmortem tissue research has emerged thanks to the development of ‘omics technologies that measure genes, proteins, and spatial parameters in unprecedented detail. Also newly possible is the ability to construct polygenic scores, individual-level metrics of genetic risk (also known as polygenic risk scores/PRS), based on genome-wide association studies, GWAS. Here, we report on clinical, educational, and brain gene expression correlates of polygenic scores in ancestrally diverse samples from the Human Brain Collection Core (HBCC). Genotypes from 1418 donors were subjected to quality control filters, imputed, and used to construct polygenic scores. Polygenic scores for schizophrenia predicted schizophrenia status in donors of European ancestry (p = 4.7 × 10(−8), 17.2%) and in donors with African ancestry (p = 1.6 × 10(−5), 10.4% of phenotypic variance explained). This pattern of higher variance explained among European ancestry samples was also observed for other psychiatric disorders (depression, bipolar disorder, substance use disorders, anxiety disorders) and for height, body mass index, and years of education. For a subset of 223 samples, gene expression from dorsolateral prefrontal cortex (DLPFC) was available through the CommonMind Consortium. In this subgroup, schizophrenia polygenic scores also predicted an aggregate gene expression score for schizophrenia (European ancestry: p = 0.0032, African ancestry: p = 0.15). Overall, polygenic scores performed as expected in ancestrally diverse samples, given historical biases toward use of European ancestry samples and variable predictive power of polygenic scores across phenotypes. The transcriptomic results reported here suggest that inherited schizophrenia genetic risk influences gene expression, even in adulthood. For future research, these and additional polygenic scores are being made available for analyses, and for selecting samples, using postmortem tissue from the Human Brain Collection Core. |
format | Online Article Text |
id | pubmed-10066241 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Springer International Publishing |
record_format | MEDLINE/PubMed |
spelling | pubmed-100662412023-04-02 Polygenic scores for psychiatric disorders in a diverse postmortem brain tissue cohort Duncan, Laramie Shen, Hanyang Schulmann, Anton Li, Tayden Kolachana, Bhaskar Mandal, Ajeet Feng, Ningping Auluck, Pavan Marenco, Stefano Neuropsychopharmacology Article A new era of human postmortem tissue research has emerged thanks to the development of ‘omics technologies that measure genes, proteins, and spatial parameters in unprecedented detail. Also newly possible is the ability to construct polygenic scores, individual-level metrics of genetic risk (also known as polygenic risk scores/PRS), based on genome-wide association studies, GWAS. Here, we report on clinical, educational, and brain gene expression correlates of polygenic scores in ancestrally diverse samples from the Human Brain Collection Core (HBCC). Genotypes from 1418 donors were subjected to quality control filters, imputed, and used to construct polygenic scores. Polygenic scores for schizophrenia predicted schizophrenia status in donors of European ancestry (p = 4.7 × 10(−8), 17.2%) and in donors with African ancestry (p = 1.6 × 10(−5), 10.4% of phenotypic variance explained). This pattern of higher variance explained among European ancestry samples was also observed for other psychiatric disorders (depression, bipolar disorder, substance use disorders, anxiety disorders) and for height, body mass index, and years of education. For a subset of 223 samples, gene expression from dorsolateral prefrontal cortex (DLPFC) was available through the CommonMind Consortium. In this subgroup, schizophrenia polygenic scores also predicted an aggregate gene expression score for schizophrenia (European ancestry: p = 0.0032, African ancestry: p = 0.15). Overall, polygenic scores performed as expected in ancestrally diverse samples, given historical biases toward use of European ancestry samples and variable predictive power of polygenic scores across phenotypes. The transcriptomic results reported here suggest that inherited schizophrenia genetic risk influences gene expression, even in adulthood. For future research, these and additional polygenic scores are being made available for analyses, and for selecting samples, using postmortem tissue from the Human Brain Collection Core. Springer International Publishing 2023-01-24 2023-04 /pmc/articles/PMC10066241/ /pubmed/36694041 http://dx.doi.org/10.1038/s41386-022-01524-w 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 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 Duncan, Laramie Shen, Hanyang Schulmann, Anton Li, Tayden Kolachana, Bhaskar Mandal, Ajeet Feng, Ningping Auluck, Pavan Marenco, Stefano Polygenic scores for psychiatric disorders in a diverse postmortem brain tissue cohort |
title | Polygenic scores for psychiatric disorders in a diverse postmortem brain tissue cohort |
title_full | Polygenic scores for psychiatric disorders in a diverse postmortem brain tissue cohort |
title_fullStr | Polygenic scores for psychiatric disorders in a diverse postmortem brain tissue cohort |
title_full_unstemmed | Polygenic scores for psychiatric disorders in a diverse postmortem brain tissue cohort |
title_short | Polygenic scores for psychiatric disorders in a diverse postmortem brain tissue cohort |
title_sort | polygenic scores for psychiatric disorders in a diverse postmortem brain tissue cohort |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10066241/ https://www.ncbi.nlm.nih.gov/pubmed/36694041 http://dx.doi.org/10.1038/s41386-022-01524-w |
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