Association of polygenic risk scores and hair cortisol with mental health trajectories during COVID lockdown

Publication type:
Journal article
Metadata:
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

Data source: Web of Science (Lite)

Other metadata sources:
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

Data source: 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&apos;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

Data source: 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

Data source: PubMed

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