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 (R2 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 (rg = - 0.79, and rg= 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.

LanguageEnglish
Pages286-297
Number of pages12
JournalBehavior Genetics
Volume49
Issue number3
DOIs
Publication statusPublished - May 2019

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

Cite this

@article{6cb0ed0569084b7d9d60d2829ee5a221,
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 (R2 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 (rg = - 0.79, and rg= 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.",
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",
month = "5",
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, 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

Y1 - 2019/5

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 (R2 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 (rg = - 0.79, and rg= 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 (R2 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 (rg = - 0.79, and rg= 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.

U2 - 10.1007/s10519-019-09951-0

DO - 10.1007/s10519-019-09951-0

M3 - Article

VL - 49

SP - 286

EP - 297

JO - Behavior Genetics

T2 - Behavior Genetics

JF - Behavior Genetics

SN - 0001-8244

IS - 3

ER -