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Association of polygenic risk scores and hair cortisol with mental health trajectories during COVID lockdown
The COVID-19 pandemic is a global stressor with inter-individually differing influences on mental health trajectories. Polygenic Risk Scores (PRSs) for psychiatric phenotypes are associated with individual mental health predispositions. Elevated hair cortisol concentrations (HCC) and high PRSs are r...
Autores principales: | , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9490720/ https://www.ncbi.nlm.nih.gov/pubmed/36130942 http://dx.doi.org/10.1038/s41398-022-02165-9 |
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author | Ahrens, Kira F. Neumann, Rebecca J. von Werthern, Nina M. Kranz, Thorsten M. Kollmann, Bianca Mattes, Björn Puhlmann, Lara M. C. Weichert, Danuta Lutz, Beat Basten, Ulrike Fiebach, Christian J. Wessa, Michèle Kalisch, Raffael Lieb, Klaus Chiocchetti, Andreas G. Tüscher, Oliver Reif, Andreas Plichta, Michael M. |
author_facet | Ahrens, Kira F. Neumann, Rebecca J. von Werthern, Nina M. Kranz, Thorsten M. Kollmann, Bianca Mattes, Björn Puhlmann, Lara M. C. Weichert, Danuta Lutz, Beat Basten, Ulrike Fiebach, Christian J. Wessa, Michèle Kalisch, Raffael Lieb, Klaus Chiocchetti, Andreas G. Tüscher, Oliver Reif, Andreas Plichta, Michael M. |
author_sort | Ahrens, Kira F. |
collection | PubMed |
description | The COVID-19 pandemic is a global stressor with inter-individually differing influences on mental health trajectories. Polygenic Risk Scores (PRSs) for psychiatric phenotypes are associated with individual mental health predispositions. Elevated hair cortisol concentrations (HCC) and high PRSs are related to negative mental health outcomes. We analyzed whether PRSs and HCC are related to different mental health trajectories during the first COVID lockdown in Germany. Among 523 participants selected from the longitudinal resilience assessment study (LORA), we previously reported three subgroups (acute dysfunction, delayed dysfunction, resilient) based on weekly mental health (GHQ-28) assessment during COVID lockdown. DNA from blood was collected at the baseline of the original LORA study (n = 364) and used to calculate the PRSs of 12 different psychopathological phenotypes. An explorative bifactor model with Schmid-Leiman transformation was calculated to extract a general genetic factor for psychiatric disorders. Hair samples were collected quarterly prior to the pandemic for determining HCC (n = 192). Bivariate logistic regressions were performed to test the associations of HCC and the PRS factors with the reported trajectories. The bifactor model revealed 1 general factor and 4 sub-factors. Results indicate a significant association between increased values on the general risk factor and the allocation to the acute dysfunction class. The same was found for elevated HCC and the exploratorily tested sub-factor “childhood-onset neurodevelopmental disorders”. Genetic risk and long-term cortisol secretion as a potential indicator of stress, indicated by PRSs and HCC, respectively, predicted different mental health trajectories. Results indicate a potential for future studies on risk prediction. |
format | Online Article Text |
id | pubmed-9490720 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-94907202022-09-21 Association of polygenic risk scores and hair cortisol with mental health trajectories during COVID lockdown Ahrens, Kira F. Neumann, Rebecca J. von Werthern, Nina M. Kranz, Thorsten M. Kollmann, Bianca Mattes, Björn Puhlmann, Lara M. C. Weichert, Danuta Lutz, Beat Basten, Ulrike Fiebach, Christian J. Wessa, Michèle Kalisch, Raffael Lieb, Klaus Chiocchetti, Andreas G. Tüscher, Oliver Reif, Andreas Plichta, Michael M. Transl Psychiatry Article The COVID-19 pandemic is a global stressor with inter-individually differing influences on mental health trajectories. Polygenic Risk Scores (PRSs) for psychiatric phenotypes are associated with individual mental health predispositions. Elevated hair cortisol concentrations (HCC) and high PRSs are related to negative mental health outcomes. We analyzed whether PRSs and HCC are related to different mental health trajectories during the first COVID lockdown in Germany. Among 523 participants selected from the longitudinal resilience assessment study (LORA), we previously reported three subgroups (acute dysfunction, delayed dysfunction, resilient) based on weekly mental health (GHQ-28) assessment during COVID lockdown. DNA from blood was collected at the baseline of the original LORA study (n = 364) and used to calculate the PRSs of 12 different psychopathological phenotypes. An explorative bifactor model with Schmid-Leiman transformation was calculated to extract a general genetic factor for psychiatric disorders. Hair samples were collected quarterly prior to the pandemic for determining HCC (n = 192). Bivariate logistic regressions were performed to test the associations of HCC and the PRS factors with the reported trajectories. The bifactor model revealed 1 general factor and 4 sub-factors. Results indicate a significant association between increased values on the general risk factor and the allocation to the acute dysfunction class. The same was found for elevated HCC and the exploratorily tested sub-factor “childhood-onset neurodevelopmental disorders”. Genetic risk and long-term cortisol secretion as a potential indicator of stress, indicated by PRSs and HCC, respectively, predicted different mental health trajectories. Results indicate a potential for future studies on risk prediction. Nature Publishing Group UK 2022-09-21 /pmc/articles/PMC9490720/ /pubmed/36130942 http://dx.doi.org/10.1038/s41398-022-02165-9 Text en © The Author(s) 2022 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 Ahrens, Kira F. Neumann, Rebecca J. von Werthern, Nina M. Kranz, Thorsten M. Kollmann, Bianca Mattes, Björn Puhlmann, Lara M. C. Weichert, Danuta Lutz, Beat Basten, Ulrike Fiebach, Christian J. Wessa, Michèle Kalisch, Raffael Lieb, Klaus Chiocchetti, Andreas G. Tüscher, Oliver Reif, Andreas Plichta, Michael M. Association of polygenic risk scores and hair cortisol with mental health trajectories during COVID lockdown |
title | Association of polygenic risk scores and hair cortisol with mental health trajectories during COVID lockdown |
title_full | Association of polygenic risk scores and hair cortisol with mental health trajectories during COVID lockdown |
title_fullStr | Association of polygenic risk scores and hair cortisol with mental health trajectories during COVID lockdown |
title_full_unstemmed | Association of polygenic risk scores and hair cortisol with mental health trajectories during COVID lockdown |
title_short | Association of polygenic risk scores and hair cortisol with mental health trajectories during COVID lockdown |
title_sort | association of polygenic risk scores and hair cortisol with mental health trajectories during covid lockdown |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9490720/ https://www.ncbi.nlm.nih.gov/pubmed/36130942 http://dx.doi.org/10.1038/s41398-022-02165-9 |
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