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“… wise, amazed, temp’rate, and furious, Loyal and neutral, in a moment”: first heritability analysis of affective temperaments reports remarkably high SNP-based heritability

Published online by Cambridge University Press:  19 July 2023

X. Gonda*
Affiliation:
Department of Psychiatry and Psychotherapy, Semmelweis University NAP3.0 Neuropsychopharmacology Research Group, Hungarian Brain Research Program, Semmelweis University
D. Torok
Affiliation:
Department of Pharmacodynamics, Semmelweis University
N. Eszlari
Affiliation:
Department of Pharmacodynamics, Semmelweis University
D. Gyorik
Affiliation:
Department of Pharmacodynamics, Semmelweis University
A. Millinghoffer
Affiliation:
Department of Measurement and Information Systems, Budapest University of Technology and Economics
G. Bagdy
Affiliation:
Department of Pharmacodynamics, Semmelweis University
G. Juhasz
Affiliation:
NAP3.0 Neuropsychopharmacology Research Group, Hungarian Brain Research Program, Semmelweis University Department of Pharmacodynamics, Semmelweis University SE-NAP 2 Genetic Brain Imaging Migraine Research Group, Hungarian Brain Research Program, Semmelweis University, Budapest, Hungary
*
*Corresponding author.

Abstract

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Introduction

Depression shows a moderate heritability of 37-42%, which can be up to 75% in severely depressed samples 75%. At the same time SNP-based heritability of depression in GWAS-s is around 8-9%. Heterogeneity of the depressive phenotype may contribute not only to the lack of understanding its genetic background but may also hinder the identification of novel targets. Thus clinically relevant intermediate endophenotypes are needed for. The affective temperaments in the Akiskal model may be considered high-risk states or subclinical manifestations of mood disorders. Considering their strong genetic and biological background, high heritability in family studies, and their temporal stability, they may prove to be relevant endophenotypes for depression.

Objectives

The aim of the current study was to investigate the genetic determinants and heritability of affective temperaments based on a GWAS approach.

Methods

775 subjects aged between 18-60 years recruited in Budapest, Hungary provided genetic samples and completed questionnaires including the TEMPS-A (Temperament Evaluation of Memphis, Pisa, Paris and San Diego) scale. A genome-wide association analysis was performed with the five affective temperaments as outcome variables. Age, gender, the top 10 principal components of the genome, and the other 4 phenotype were added in the model as covariates. Summary statistics derived from the GWAS analyses were used to estimate the heritability, i.e. the genetic variance explained by the different affective temperaments. LD score regression using LDPred2 [4] was performed to estimate heritability from the beta values and effect size in case of all 5 affective temperament phenotypes.

Results

rs3798978 showed a genome-wide significance (p=4.44x10-8) for anxious temperament, and several other variants showed suggestive significances for all five temperaments. The highest estimated heritability (h2 = 0.5224) was observed for the depressive temperament, and similarly high heritability was observed for the hyperthymic temperament (h2 = 0.4956). Anxious and cyclothymic temperaments showed almost the same heritability (cyclothymic h2 = 0.1651, anxious h2 = 0.1663), whereas for the irritable temperament, we got negative heritability estimation (h2 = -0.0567), which means that all of the phenotypic variance is explained by environmental factors.

Conclusions

Our analyses yielded remarkably high heritability values for depressive and hyperthymic temperaments explaining 52% and 50% of phenotypic variances. In contrast to the 8-9% SNP-based heritability in depression studies our findings suggest that these temperaments may be relevant endophenotypes for mood disorders.

Disclosure of Interest

None Declared

Type
Abstract
Creative Commons
Creative Common License - CCCreative Common License - BY
This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution, and reproduction in any medium, provided the original work is properly cited.
Copyright
© The Author(s), 2023. Published by Cambridge University Press on behalf of the European Psychiatric Association
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