Predicting loneliness with polygenic scores of social, psychological and psychiatric traits

A. Abdellaoui, M. G. Nivard, J. J. Hottenga, I. Fedko, K. J.H. Verweij, B. M.L. Baselmans, E. A. Ehli, G. E. Davies, M. Bartels, D. I. Boomsma, J. T. Cacioppo

Research output: Contribution to JournalArticleAcademicpeer-review

Abstract

Loneliness is a heritable trait that accompanies multiple disorders. The association between loneliness and mental health indices may partly be due to inherited biological factors. We constructed polygenic scores for 27 traits related to behavior, cognition and mental health and tested their prediction for self-reported loneliness in a population-based sample of 8798 Dutch individuals. Polygenic scores for major depressive disorder (MDD), schizophrenia and bipolar disorder were significantly associated with loneliness. Of the Big Five personality dimensions, polygenic scores for neuroticism and conscientiousness also significantly predicted loneliness, as did the polygenic scores for subjective well-being, tiredness and self-rated health. When including all polygenic scores simultaneously into one model, only 2 major depression polygenic scores remained as significant predictors of loneliness. When controlling only for these 2 MDD polygenic scores, only neuroticism and schizophrenia remain significant. The total variation explained by all polygenic scores collectively was 1.7%. The association between the propensity to feel lonely and the susceptibility to psychiatric disorders thus pointed to a shared genetic etiology. The predictive power of polygenic scores will increase as the power of the genome-wide association studies on which they are based increases and may lead to clinically useful polygenic scores that can inform on the genetic predisposition to loneliness and mental health.

Original languageEnglish
Article numbere12472
Pages (from-to)1-10
Number of pages10
JournalGenes, Brain and Behavior
Volume17
Issue number6
Early online date23 Mar 2018
DOIs
Publication statusPublished - Jul 2018

Fingerprint

Community Psychiatry
Loneliness
Psychology
Mental Health
Schizophrenia
Genome-Wide Association Study
Major Depressive Disorder
Biological Factors
Genetic Predisposition to Disease
Bipolar Disorder
Cognition
Psychiatry
Personality
Depression
Health

Keywords

  • genetic correlation
  • genetic prediction
  • loneliness
  • major depressive disorder
  • polygenic scores

Cite this

@article{b9cb0a4092514471aa13b238ff93109c,
title = "Predicting loneliness with polygenic scores of social, psychological and psychiatric traits",
abstract = "Loneliness is a heritable trait that accompanies multiple disorders. The association between loneliness and mental health indices may partly be due to inherited biological factors. We constructed polygenic scores for 27 traits related to behavior, cognition and mental health and tested their prediction for self-reported loneliness in a population-based sample of 8798 Dutch individuals. Polygenic scores for major depressive disorder (MDD), schizophrenia and bipolar disorder were significantly associated with loneliness. Of the Big Five personality dimensions, polygenic scores for neuroticism and conscientiousness also significantly predicted loneliness, as did the polygenic scores for subjective well-being, tiredness and self-rated health. When including all polygenic scores simultaneously into one model, only 2 major depression polygenic scores remained as significant predictors of loneliness. When controlling only for these 2 MDD polygenic scores, only neuroticism and schizophrenia remain significant. The total variation explained by all polygenic scores collectively was 1.7{\%}. The association between the propensity to feel lonely and the susceptibility to psychiatric disorders thus pointed to a shared genetic etiology. The predictive power of polygenic scores will increase as the power of the genome-wide association studies on which they are based increases and may lead to clinically useful polygenic scores that can inform on the genetic predisposition to loneliness and mental health.",
keywords = "genetic correlation, genetic prediction, loneliness, major depressive disorder, polygenic scores",
author = "A. Abdellaoui and Nivard, {M. G.} and Hottenga, {J. J.} and I. Fedko and Verweij, {K. J.H.} and Baselmans, {B. M.L.} and Ehli, {E. A.} and Davies, {G. E.} and M. Bartels and Boomsma, {D. I.} and Cacioppo, {J. T.}",
year = "2018",
month = "7",
doi = "10.1111/gbb.12472",
language = "English",
volume = "17",
pages = "1--10",
journal = "Genes, Brain and Behavior",
issn = "1601-1848",
publisher = "Wiley-Blackwell Publishing",
number = "6",

}

Predicting loneliness with polygenic scores of social, psychological and psychiatric traits. / Abdellaoui, A.; Nivard, M. G.; Hottenga, J. J.; Fedko, I.; Verweij, K. J.H.; Baselmans, B. M.L.; Ehli, E. A.; Davies, G. E.; Bartels, M.; Boomsma, D. I.; Cacioppo, J. T.

In: Genes, Brain and Behavior, Vol. 17, No. 6, e12472, 07.2018, p. 1-10.

Research output: Contribution to JournalArticleAcademicpeer-review

TY - JOUR

T1 - Predicting loneliness with polygenic scores of social, psychological and psychiatric traits

AU - Abdellaoui, A.

AU - Nivard, M. G.

AU - Hottenga, J. J.

AU - Fedko, I.

AU - Verweij, K. J.H.

AU - Baselmans, B. M.L.

AU - Ehli, E. A.

AU - Davies, G. E.

AU - Bartels, M.

AU - Boomsma, D. I.

AU - Cacioppo, J. T.

PY - 2018/7

Y1 - 2018/7

N2 - Loneliness is a heritable trait that accompanies multiple disorders. The association between loneliness and mental health indices may partly be due to inherited biological factors. We constructed polygenic scores for 27 traits related to behavior, cognition and mental health and tested their prediction for self-reported loneliness in a population-based sample of 8798 Dutch individuals. Polygenic scores for major depressive disorder (MDD), schizophrenia and bipolar disorder were significantly associated with loneliness. Of the Big Five personality dimensions, polygenic scores for neuroticism and conscientiousness also significantly predicted loneliness, as did the polygenic scores for subjective well-being, tiredness and self-rated health. When including all polygenic scores simultaneously into one model, only 2 major depression polygenic scores remained as significant predictors of loneliness. When controlling only for these 2 MDD polygenic scores, only neuroticism and schizophrenia remain significant. The total variation explained by all polygenic scores collectively was 1.7%. The association between the propensity to feel lonely and the susceptibility to psychiatric disorders thus pointed to a shared genetic etiology. The predictive power of polygenic scores will increase as the power of the genome-wide association studies on which they are based increases and may lead to clinically useful polygenic scores that can inform on the genetic predisposition to loneliness and mental health.

AB - Loneliness is a heritable trait that accompanies multiple disorders. The association between loneliness and mental health indices may partly be due to inherited biological factors. We constructed polygenic scores for 27 traits related to behavior, cognition and mental health and tested their prediction for self-reported loneliness in a population-based sample of 8798 Dutch individuals. Polygenic scores for major depressive disorder (MDD), schizophrenia and bipolar disorder were significantly associated with loneliness. Of the Big Five personality dimensions, polygenic scores for neuroticism and conscientiousness also significantly predicted loneliness, as did the polygenic scores for subjective well-being, tiredness and self-rated health. When including all polygenic scores simultaneously into one model, only 2 major depression polygenic scores remained as significant predictors of loneliness. When controlling only for these 2 MDD polygenic scores, only neuroticism and schizophrenia remain significant. The total variation explained by all polygenic scores collectively was 1.7%. The association between the propensity to feel lonely and the susceptibility to psychiatric disorders thus pointed to a shared genetic etiology. The predictive power of polygenic scores will increase as the power of the genome-wide association studies on which they are based increases and may lead to clinically useful polygenic scores that can inform on the genetic predisposition to loneliness and mental health.

KW - genetic correlation

KW - genetic prediction

KW - loneliness

KW - major depressive disorder

KW - polygenic scores

UR - http://www.scopus.com/inward/record.url?scp=85045235246&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85045235246&partnerID=8YFLogxK

U2 - 10.1111/gbb.12472

DO - 10.1111/gbb.12472

M3 - Article

VL - 17

SP - 1

EP - 10

JO - Genes, Brain and Behavior

JF - Genes, Brain and Behavior

SN - 1601-1848

IS - 6

M1 - e12472

ER -