Association of polygenic risk scores and hair cortisol with mental health trajectories during COVID lockdown
- Publikationstyp:
- Zeitschriftenaufsatz
- Metadaten:
-
- Autoren
- Kira F Ahrens
- Rebecca J Neumann
- Nina M von Werthern
- Thorsten M Kranz
- Bianca Kollmann
- Bjoern Mattes
- Lara MC Puhlmann
- Danuta Weichert
- Beat Lutz
- Ulrike Basten
- Christian J Fiebach
- Michele Wessa
- Raffael Kalisch
- Klaus Lieb
- Andreas G Chiocchetti
- Oliver Tuscher
- Andreas Reif
- Michael M Plichta
- Autoren-URL
- https://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=fis-test-1&SrcAuth=WosAPI&KeyUT=WOS:000858621900002&DestLinkType=FullRecord&DestApp=WOS_CPL
- DOI
- 10.1038/s41398-022-02165-9
- Externe Identifier
- Clarivate Analytics Document Solution ID: 4U2HR
- PubMed Identifier: 36130942
- ISSN
- 2158-3188
- Ausgabe der Veröffentlichung
- 1
- Zeitschrift
- TRANSLATIONAL PSYCHIATRY
- Artikelnummer
- ARTN 396
- Datum der Veröffentlichung
- 2022
- Status
- Published
- Titel
- Association of polygenic risk scores and hair cortisol with mental health trajectories during COVID lockdown
- Sub types
- Article
- Ausgabe der Zeitschrift
- 12
Datenquelle: Web of Science (Lite)
- Andere Metadatenquellen:
-
- Abstract
- <jats:title>Abstract</jats:title><jats:p>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 (<jats:italic>n</jats:italic> = 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 (<jats:italic>n</jats:italic> = 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.</jats:p>
- Autoren
- Kira F Ahrens
- Rebecca J Neumann
- Nina M von Werthern
- Thorsten M Kranz
- Bianca Kollmann
- Björn Mattes
- Lara MC Puhlmann
- Danuta Weichert
- Beat Lutz
- Ulrike Basten
- Christian J Fiebach
- Michèle Wessa
- Raffael Kalisch
- Klaus Lieb
- Andreas G Chiocchetti
- Oliver Tüscher
- Andreas Reif
- Michael M Plichta
- DOI
- 10.1038/s41398-022-02165-9
- eISSN
- 2158-3188
- Ausgabe der Veröffentlichung
- 1
- Zeitschrift
- Translational Psychiatry
- Sprache
- en
- Artikelnummer
- 396
- Online publication date
- 2022
- Status
- Published online
- Herausgeber
- Springer Science and Business Media LLC
- Herausgeber URL
- http://dx.doi.org/10.1038/s41398-022-02165-9
- Datum der Datenerfassung
- 2022
- Titel
- Association of polygenic risk scores and hair cortisol with mental health trajectories during COVID lockdown
- Ausgabe der Zeitschrift
- 12
Datenquelle: Crossref
- Abstract
- 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.
- Addresses
- Goethe University Frankfurt, University Hospital, Department of Psychiatry, Psychosomatic Medicine and Psychotherapy, Frankfurt, Germany. kira.ahrens@kgu.de.
- Autoren
- Kira F Ahrens
- Rebecca J Neumann
- Nina M von Werthern
- Thorsten M Kranz
- Bianca Kollmann
- Björn Mattes
- Lara MC Puhlmann
- Danuta Weichert
- Beat Lutz
- Ulrike Basten
- Christian J Fiebach
- Michèle Wessa
- Raffael Kalisch
- Klaus Lieb
- Andreas G Chiocchetti
- Oliver Tüscher
- Andreas Reif
- Michael M Plichta
- DOI
- 10.1038/s41398-022-02165-9
- eISSN
- 2158-3188
- Externe Identifier
- PubMed Identifier: 36130942
- PubMed Central ID: PMC9490720
- Funding acknowledgements
- Ministry of Science of the state of Rhineland-Palatinate:
- Deutsche Forschungsgemeinschaft: CRC 1193
- Stiftung Rheinland-Pfalz für Innovation: No 961-386261/1080
- European Union's Horizon 2020 research and innovation program:
- Open access
- true
- ISSN
- 2158-3188
- Ausgabe der Veröffentlichung
- 1
- Zeitschrift
- Translational psychiatry
- Schlüsselwörter
- Hair
- Humans
- Hydrocortisone
- Risk Factors
- Mental Health
- Communicable Disease Control
- Pandemics
- COVID-19
- Sprache
- eng
- Medium
- Electronic
- Online publication date
- 2022
- Open access status
- Open Access
- Paginierung
- 396
- Datum der Veröffentlichung
- 2022
- Status
- Published
- Publisher licence
- CC BY
- Datum der Datenerfassung
- 2022
- Titel
- Association of polygenic risk scores and hair cortisol with mental health trajectories during COVID lockdown.
- Sub types
- Research Support, Non-U.S. Gov't
- research-article
- Journal Article
- Ausgabe der Zeitschrift
- 12
Files
https://www.nature.com/articles/s41398-022-02165-9.pdf https://europepmc.org/articles/PMC9490720?pdf=render
Datenquelle: Europe PubMed Central
- Abstract
- 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.
- Date of acceptance
- 2022
- Autoren
- Kira F Ahrens
- Rebecca J Neumann
- Nina M von Werthern
- Thorsten M Kranz
- Bianca Kollmann
- Björn Mattes
- Lara MC Puhlmann
- Danuta Weichert
- Beat Lutz
- Ulrike Basten
- Christian J Fiebach
- Michèle Wessa
- Raffael Kalisch
- Klaus Lieb
- Andreas G Chiocchetti
- Oliver Tüscher
- Andreas Reif
- Michael M Plichta
- Autoren-URL
- https://www.ncbi.nlm.nih.gov/pubmed/36130942
- DOI
- 10.1038/s41398-022-02165-9
- eISSN
- 2158-3188
- Externe Identifier
- PubMed Central ID: PMC9490720
- Ausgabe der Veröffentlichung
- 1
- Zeitschrift
- Transl Psychiatry
- Schlüsselwörter
- COVID-19
- Communicable Disease Control
- Hair
- Humans
- Hydrocortisone
- Mental Health
- Pandemics
- Risk Factors
- Sprache
- eng
- Country
- United States
- Paginierung
- 396
- PII
- 10.1038/s41398-022-02165-9
- Datum der Veröffentlichung
- 2022
- Status
- Published online
- Datum, an dem der Datensatz öffentlich gemacht wurde
- 2022
- Titel
- Association of polygenic risk scores and hair cortisol with mental health trajectories during COVID lockdown.
- Sub types
- Journal Article
- Research Support, Non-U.S. Gov't
- Ausgabe der Zeitschrift
- 12
Datenquelle: PubMed
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