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

*Corresponding author for this work

Research output: Contribution to JournalArticleAcademicpeer-review

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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

Funding

National Institute of Mental Health, Grant/Award Number: R37 AG033590-08 ; Department of Psychology and Education of the VU University Amsterdam; Dutch Brain Foundation; Netherlands Scientific Organization (NWO), Grant/Award Number: 480-05-003; NIMH; Grand Opportunity, Grant/Award Numbers: 1RC2 MH089995-01, 1RC2MH089951-01; Foundation for the US National Institutes of Health (NIMH), Grant/Award Number: MH081802; National Institutes of Health (NIH), Grant/Award Number: R01D0042157-01A; Avera Institute for Human Genetics, Sioux Falls, South Dakota (USA); Biobanking and Biomolecular Resources Research Infrastructure (BBMRI–NL), Grant/Award Number: 184.021.007; Spinozapremie, Grant/Award Number: 56-464-14192; Middelgroot, Grant/ AwardNumber:911-09-032;ZonMWAddiction, Grant/Award Number: 31160008; NWO-VENI, Grant/Award Number: 451-04-034; NWO-bilateral agreement, Grant/Award Number: 463-06-001; NWO: MagW/ZonMW, Grant/Award Numbers: 400-05-717, 480-04-004, 904-61-193, 985-10-002, 904-61-090; Foundation Volksbond Rotterdam Netherlands Organization for Scientific Research; Royal Netherlands Academy of Science Professor Award, Grant/ Award Number: PAH/6635 The authors thank all the twins and family members. This project was made possible by the National Institutes of Health (NIH, R37 AG033590-08 to J.T.C.). KJHV is supported by the Foundation Volks-bond Rotterdam. M.G.N. is supported by Royal Netherlands Academy of Science Professor Award (PAH/6635 to D.I.B.). Data collection was supported by the Netherlands Organization for Scientific Research (NWO: MagW/ZonMW grants 904-61-090, 985-10-002, 904-61-193, 480-04-004, 400-05-717, NWO-bilateral agreement 463-06-001, NWO-VENI 451-04-034, Addiction-31160008, Middelgroot-911-09-032, Spinozapremie 56-464-14192), Biobanking and Biomolecular Resources Research Infrastructure (BBMRI–NL, 184.021.007). Genotyping was also supported by the Avera Institute for Human Genetics, Sioux Falls, South Dakota (USA) and the National Institutes of Health (NIH, R01D0042157-01A), the Genetic Association Information Network (GAIN) of the Foundation for the US National Institutes of Health (NIMH, MH081802) and by the Grand Opportunity grants 1RC2MH089951-01 and 1RC2 MH089995-01 from the NIMH. Part of the analyses was carried out on the Genetic Cluster Computer (http://www.geneticcluster.org), which is financially supported by the Netherlands Scientific Organization (NWO 480-05-003), the Dutch Brain Foundation and the Department of Psychology and Education of the VU University Amsterdam.

FundersFunder number
Avera Institute for Human Genetics
BBMRI56-464-14192, 184.021.007, :911-09-032
Biobanking and Biomolecular Resources Research Infrastructure
Dutch Brain Foundation
Foundation Volks-bond Rotterdam
Foundation Volksbond Rotterdam
Foundation Volksbond Rotterdam Netherlands Organization for Scientific Research
NWO-VENI
NWO-bilateral463-06-001, NWO-VENI 451-04-034
NWObilateral
National Institute ofMentalHealth
Netherlands Organization for Scientific Research480-04-004, 904-61-090, 400-05-717, 904-61-193, 985-10-002
Netherlands Scientific Organization
Royal Netherlands Academy of SciencePAH/6635
Spinozapremie
ZonMWAddiction31160008
National Institutes of HealthR01D0042157-01A
National Institute of Mental Health1RC2MH089951-01, 1RC2 MH089995-01, MH081802
National Institute on AgingR01AG033590
Vrije Universiteit Amsterdam
Nederlandse Organisatie voor Wetenschappelijk Onderzoek480-05-003

    Keywords

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

    Cohort Studies

    • Netherlands Twin Register (NTR)

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