Affective temperament polygenic risk scores predict depression: investigating the role of environmental factors
Introduction Depressive disorders are known heterogeneous both in their clinical manifestations and etiopathophysiology. Affective temperaments have a strong biological background and heritability, manifest at early age and remain stable throughout the life span, and have a pathoplastic effect in d...
| Main Authors: | , , , , , , , |
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| Format: | Article |
| Language: | English |
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Cambridge University Press
2023-03-01
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| Series: | European Psychiatry |
| Online Access: | https://www.cambridge.org/core/product/identifier/S0924933823007587/type/journal_article |
| _version_ | 1797616454231654400 |
|---|---|
| author | D. Győrik D. Torok B. Erdelyi-Hamza Z. Gal N. Eszlari G. Bagdy G. Juhasz X. Gonda |
| author_facet | D. Győrik D. Torok B. Erdelyi-Hamza Z. Gal N. Eszlari G. Bagdy G. Juhasz X. Gonda |
| author_sort | D. Győrik |
| collection | DOAJ |
| description |
Introduction
Depressive disorders are known heterogeneous both in their clinical manifestations and etiopathophysiology. Affective temperaments have a strong biological background and heritability, manifest at early age and remain stable throughout the life span, and have a pathoplastic effect in depression. Thus, they have been suggested as intermediate phenotypes for depression.
Objectives
Our aim was to investigate if polygenic risk scores (PRS) calculated for the five affective temperaments predict depression and to examine their interaction effects of early and recent stressors.
Methods
1820 nonrelated participants from a general population were genotyped and provided data on current depression (Brief Symptom Inventory-BSI), early (Childhood Trauma Questionnaire, CHA) and recent stressors (List of Threatening Life Events, RLE), and affective temperaments (Temperament Evaluation of Memphis, Pisa, Paris and San Diego, TEMPS-A). Our previously performed TEMPS-A GWAS analysis was used as discovery sample and the NewMood database as target sample for analysing the effects of affective temperament PRS on depression. Linear regression models were used to calculate the interaction effect of early and recent stressors.
Results
PRSs derived from anxious, cyclothymic, depressive, and irritable temperaments had a significant effect on current depression, explaining 2.6-7.1% of variance. PRSs calculated from the anxious, depressive and hyperthymic temperaments significantly predicted current depression in interaction with CHA, explaining 10% of variance. In case of interaction models including both early and recent stressors, a significant effect of depressive PRS was found. Detailed results are shown in Table 1.
anxious
cyclothymic
depressive
hyperthymic
irritable
on BSI-depression
R2
.0033
.0071
.0032
.0016
.0026
p-value
.011
.0002
.011
.076
.022
in interaction with CHA
R2
.1062
.1037
.1029
.1015
.1022
p-value
.008
.551
.027
.038
.531
in interaction with RLE
R2
.0365
.0402
.0362
.0369
.0368
p-value
.396
.140
.483
.227
.480
in interaction with CHA and RLE
R2
.1387
.1384
.1395
.1344
.1348
p-value
.101
.400
.0009
.981
.930
Conclusions
Our results confirm the genetic association between affective temperaments and depressive symptoms, which highlight their role as possible clinically relevant intermediate phenotypes for depression.
Disclosure of Interest
None Declared |
| first_indexed | 2024-03-11T07:41:29Z |
| format | Article |
| id | doaj.art-abc8342d030843e188282eed6bc39303 |
| institution | Directory Open Access Journal |
| issn | 0924-9338 1778-3585 |
| language | English |
| last_indexed | 2024-03-11T07:41:29Z |
| publishDate | 2023-03-01 |
| publisher | Cambridge University Press |
| record_format | Article |
| series | European Psychiatry |
| spelling | doaj.art-abc8342d030843e188282eed6bc393032023-11-17T05:08:30ZengCambridge University PressEuropean Psychiatry0924-93381778-35852023-03-0166S348S34810.1192/j.eurpsy.2023.758Affective temperament polygenic risk scores predict depression: investigating the role of environmental factorsD. Győrik0D. Torok1B. Erdelyi-Hamza2Z. Gal3N. Eszlari4G. Bagdy5G. Juhasz6X. Gonda7Department of Pharmacodynamics Doctoral School of Mental Health SciencesDepartment of PharmacodynamicsDoctoral School of Mental Health Sciences Department of Psychiatry and PsychotherapyDepartment of PharmacodynamicsDepartment of Pharmacodynamics NAP3.0 Neuropsychopharmacology Research GroupDepartment of Psychiatry and Psychotherapy NAP3.0 Neuropsychopharmacology Research GroupDepartment of Pharmacodynamics SE-NAP-2 Genetic Brain Imaging Migraine Research Group, Hungarian Brain Research Program, Semmelweis University, Budapest, HungaryDepartment of Psychiatry and Psychotherapy NAP3.0 Neuropsychopharmacology Research Group Introduction Depressive disorders are known heterogeneous both in their clinical manifestations and etiopathophysiology. Affective temperaments have a strong biological background and heritability, manifest at early age and remain stable throughout the life span, and have a pathoplastic effect in depression. Thus, they have been suggested as intermediate phenotypes for depression. Objectives Our aim was to investigate if polygenic risk scores (PRS) calculated for the five affective temperaments predict depression and to examine their interaction effects of early and recent stressors. Methods 1820 nonrelated participants from a general population were genotyped and provided data on current depression (Brief Symptom Inventory-BSI), early (Childhood Trauma Questionnaire, CHA) and recent stressors (List of Threatening Life Events, RLE), and affective temperaments (Temperament Evaluation of Memphis, Pisa, Paris and San Diego, TEMPS-A). Our previously performed TEMPS-A GWAS analysis was used as discovery sample and the NewMood database as target sample for analysing the effects of affective temperament PRS on depression. Linear regression models were used to calculate the interaction effect of early and recent stressors. Results PRSs derived from anxious, cyclothymic, depressive, and irritable temperaments had a significant effect on current depression, explaining 2.6-7.1% of variance. PRSs calculated from the anxious, depressive and hyperthymic temperaments significantly predicted current depression in interaction with CHA, explaining 10% of variance. In case of interaction models including both early and recent stressors, a significant effect of depressive PRS was found. Detailed results are shown in Table 1. anxious cyclothymic depressive hyperthymic irritable on BSI-depression R2 .0033 .0071 .0032 .0016 .0026 p-value .011 .0002 .011 .076 .022 in interaction with CHA R2 .1062 .1037 .1029 .1015 .1022 p-value .008 .551 .027 .038 .531 in interaction with RLE R2 .0365 .0402 .0362 .0369 .0368 p-value .396 .140 .483 .227 .480 in interaction with CHA and RLE R2 .1387 .1384 .1395 .1344 .1348 p-value .101 .400 .0009 .981 .930 Conclusions Our results confirm the genetic association between affective temperaments and depressive symptoms, which highlight their role as possible clinically relevant intermediate phenotypes for depression. Disclosure of Interest None Declaredhttps://www.cambridge.org/core/product/identifier/S0924933823007587/type/journal_article |
| spellingShingle | D. Győrik D. Torok B. Erdelyi-Hamza Z. Gal N. Eszlari G. Bagdy G. Juhasz X. Gonda Affective temperament polygenic risk scores predict depression: investigating the role of environmental factors European Psychiatry |
| title | Affective temperament polygenic risk scores predict depression: investigating the role of environmental factors |
| title_full | Affective temperament polygenic risk scores predict depression: investigating the role of environmental factors |
| title_fullStr | Affective temperament polygenic risk scores predict depression: investigating the role of environmental factors |
| title_full_unstemmed | Affective temperament polygenic risk scores predict depression: investigating the role of environmental factors |
| title_short | Affective temperament polygenic risk scores predict depression: investigating the role of environmental factors |
| title_sort | affective temperament polygenic risk scores predict depression investigating the role of environmental factors |
| url | https://www.cambridge.org/core/product/identifier/S0924933823007587/type/journal_article |
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