Abstract

The interrelations among well-being, neuroticism, and depression can be captured in a so-called well-being spectrum (3-phenotype well-being spectrum, 3-WBS). Several other human traits are likely linked to the 3-WBS. In the present study, we investigate how the 3-WBS can be expanded. First, we constructed polygenic risk scores for the 3-WBS and used this score to predict a series of traits that have been associated with well-being in the literature. We included information on loneliness, big five personality traits, self-rated health, and flourishing. The 3-WBS polygenic score predicted all the original 3-WBS traits and additionally loneliness, self-rated health, and extraversion (R 2 between 0.62% and 1.58%). Next, using LD score regression, we calculated genetic correlations between the 3-WBS and the traits of interest. From all candidate traits, loneliness and self-rated health were found to have the strongest genetic correlations (r g = − 0.79, and r g = 0.64, respectively) with the 3-WBS. Lastly, we use Genomic SEM to investigate the factor structure of the proposed spectrum. The best model fit was obtained for a two-factor model including the 5-WBS traits, with two highly correlated factors representing the negative- and positive end of the spectrum. Based on these analyses we propose to include loneliness and self-rated health in the WBS and use a 5-phenotype well-being spectrum in future studies to gain more insight into the determinants of human well-being.

Original languageEnglish
Pages (from-to)286-297
Number of pages12
JournalBehavior Genetics
Volume49
Issue number3
DOIs
Publication statusPublished - 15 May 2019

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Phenotype
phenotype
Loneliness
Health
genetic correlation
Personality
Depression
genomics
scanning electron microscopy
health

Keywords

  • Flourishing
  • Genetic correlation
  • Loneliness
  • Personality
  • Self-rated health
  • Well-being spectrum

Cite this

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title = "A Genetic Investigation of the Well-Being Spectrum",
abstract = "The interrelations among well-being, neuroticism, and depression can be captured in a so-called well-being spectrum (3-phenotype well-being spectrum, 3-WBS). Several other human traits are likely linked to the 3-WBS. In the present study, we investigate how the 3-WBS can be expanded. First, we constructed polygenic risk scores for the 3-WBS and used this score to predict a series of traits that have been associated with well-being in the literature. We included information on loneliness, big five personality traits, self-rated health, and flourishing. The 3-WBS polygenic score predicted all the original 3-WBS traits and additionally loneliness, self-rated health, and extraversion (R 2 between 0.62{\%} and 1.58{\%}). Next, using LD score regression, we calculated genetic correlations between the 3-WBS and the traits of interest. From all candidate traits, loneliness and self-rated health were found to have the strongest genetic correlations (r g = − 0.79, and r g = 0.64, respectively) with the 3-WBS. Lastly, we use Genomic SEM to investigate the factor structure of the proposed spectrum. The best model fit was obtained for a two-factor model including the 5-WBS traits, with two highly correlated factors representing the negative- and positive end of the spectrum. Based on these analyses we propose to include loneliness and self-rated health in the WBS and use a 5-phenotype well-being spectrum in future studies to gain more insight into the determinants of human well-being.",
keywords = "Flourishing, Genetic correlation, Loneliness, Personality, Self-rated health, Well-being spectrum",
author = "Baselmans, {B. M.L.} and {van de Weijer}, {M. P.} and A. Abdellaoui and Vink, {J. M.} and Hottenga, {J. J.} and G. Willemsen and Nivard, {M. G.} and {de Geus}, {E. J.C.} and Boomsma, {D. I.} and M. Bartels",
year = "2019",
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doi = "10.1007/s10519-019-09951-0",
language = "English",
volume = "49",
pages = "286--297",
journal = "Behavior Genetics",
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A Genetic Investigation of the Well-Being Spectrum. / Baselmans, B. M.L.; van de Weijer, M. P.; Abdellaoui, A.; Vink, J. M.; Hottenga, J. J.; Willemsen, G.; Nivard, M. G.; de Geus, E. J.C.; Boomsma, D. I.; Bartels, M.

In: Behavior Genetics, Vol. 49, No. 3, 15.05.2019, p. 286-297.

Research output: Contribution to JournalArticleAcademicpeer-review

TY - JOUR

T1 - A Genetic Investigation of the Well-Being Spectrum

AU - Baselmans, B. M.L.

AU - van de Weijer, M. P.

AU - Abdellaoui, A.

AU - Vink, J. M.

AU - Hottenga, J. J.

AU - Willemsen, G.

AU - Nivard, M. G.

AU - de Geus, E. J.C.

AU - Boomsma, D. I.

AU - Bartels, M.

PY - 2019/5/15

Y1 - 2019/5/15

N2 - The interrelations among well-being, neuroticism, and depression can be captured in a so-called well-being spectrum (3-phenotype well-being spectrum, 3-WBS). Several other human traits are likely linked to the 3-WBS. In the present study, we investigate how the 3-WBS can be expanded. First, we constructed polygenic risk scores for the 3-WBS and used this score to predict a series of traits that have been associated with well-being in the literature. We included information on loneliness, big five personality traits, self-rated health, and flourishing. The 3-WBS polygenic score predicted all the original 3-WBS traits and additionally loneliness, self-rated health, and extraversion (R 2 between 0.62% and 1.58%). Next, using LD score regression, we calculated genetic correlations between the 3-WBS and the traits of interest. From all candidate traits, loneliness and self-rated health were found to have the strongest genetic correlations (r g = − 0.79, and r g = 0.64, respectively) with the 3-WBS. Lastly, we use Genomic SEM to investigate the factor structure of the proposed spectrum. The best model fit was obtained for a two-factor model including the 5-WBS traits, with two highly correlated factors representing the negative- and positive end of the spectrum. Based on these analyses we propose to include loneliness and self-rated health in the WBS and use a 5-phenotype well-being spectrum in future studies to gain more insight into the determinants of human well-being.

AB - The interrelations among well-being, neuroticism, and depression can be captured in a so-called well-being spectrum (3-phenotype well-being spectrum, 3-WBS). Several other human traits are likely linked to the 3-WBS. In the present study, we investigate how the 3-WBS can be expanded. First, we constructed polygenic risk scores for the 3-WBS and used this score to predict a series of traits that have been associated with well-being in the literature. We included information on loneliness, big five personality traits, self-rated health, and flourishing. The 3-WBS polygenic score predicted all the original 3-WBS traits and additionally loneliness, self-rated health, and extraversion (R 2 between 0.62% and 1.58%). Next, using LD score regression, we calculated genetic correlations between the 3-WBS and the traits of interest. From all candidate traits, loneliness and self-rated health were found to have the strongest genetic correlations (r g = − 0.79, and r g = 0.64, respectively) with the 3-WBS. Lastly, we use Genomic SEM to investigate the factor structure of the proposed spectrum. The best model fit was obtained for a two-factor model including the 5-WBS traits, with two highly correlated factors representing the negative- and positive end of the spectrum. Based on these analyses we propose to include loneliness and self-rated health in the WBS and use a 5-phenotype well-being spectrum in future studies to gain more insight into the determinants of human well-being.

KW - Flourishing

KW - Genetic correlation

KW - Loneliness

KW - Personality

KW - Self-rated health

KW - Well-being spectrum

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