Extracting stability increases the SNP heritability of emotional problems in young people

Cheesman, Rosa; Purves, Kirstin; Pingault, Jean‐Baptiste; Breen, Gerome; k, Fruhling Rijsdij; Plomin, Robert; Eley, Thalia C.

doi:10.1038/s41398-018-0269-5

Cited by 36 publications

(34 citation statements)

References 46 publications

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“…Our results confirm that individual differences in childhood anxiety and depression in childhood have a substantial underlying genetic component. In molecular research, the maximum estimate of SNP heritability of internalizing problems from previous research is 14% (Cheesman et al, 2018). The estimates from the current study are close to this, with measured genetic variants explaining 10% of the variance in depressive symptoms (not significant) and 17% of the variance in anxiety symptoms (significant).…”

Section: Discussionmentioning

confidence: 99%

“…Using genome‐based restricted maximum likelihood (GREML) analyses, common genetic variants are studied to examine the extent to which genetic similarity between unrelated individuals is associated with phenotypic similarity. The additive genetic effect of measured single nucleotide polymorphisms (SNPs) currently explains up to 14% of variance in stable emotional problems during childhood (Cheesman et al, 2018). In samples that, along with data on offspring genotypes and phenotypes, have data available on parental genotypes, a novel extension of the approach used in GCTA can be applied to additionally estimate the contribution of parental genotype to offspring behavior.…”

Section: Introductionmentioning

confidence: 99%

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Maternal and paternal effects on offspring internalizing problems: Results from genetic and family‐based analyses

Jami

Eilertsen

Qiao

et al. 2020

American J of Med Genetics Pt B

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It is unclear to what extent parental influences on the development of internalizing problems in offspring are explained by indirect genetic effects, reflected in the environment provided by the parent, in addition to the genes transmitted from parent to child. In this study, these effects were investigated using two innovative methods in a large birth cohort. Using maternal-effects genome complex trait analysis (M-GCTA), the effects of offspring genotype, maternal or paternal genotypes, and their covariance on offspring internalizing problems were estimated in 3,801 mother-fatherchild genotyped trios. Next, estimated genetic correlations within pedigree data, including 10,688 children, were used to estimate additive genetic effects, maternal and paternal genetic effects, and a shared family effect using linear mixed effects modeling. There were no significant maternal or paternal genetic effects on offspring anxiety or depressive symptoms at age 8, beyond the effects transmitted via the genetic pathway between parents and children. However, indirect maternal genetic effects explained a small, but nonsignificant, proportion of variance in childhood depressive symptoms in both the M-GCTA (~4%) and pedigree (~8%) analyses. Our results suggest that parental effects on offspring internalizing problems are predominantly due to transmitted genetic variants, rather than the indirect effect of parental genes via the environment.

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Maternal and paternal effects on offspring internalizing problems: Results from genetic and family‐based analyses

Jami

Eilertsen

Qiao

et al. 2020

American J of Med Genetics Pt B

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“…Stable and transient conditions, referred to as ‘trait’ and ‘state’ in other research contexts, are two related and yet distinctive features contributing to individual differences in mood conditions. Recent population-based genetic and predictive modelling studies have revealed that stable manifestations of emotional problems typically have a higher heritability than more transient features(37). Also longitudinal measures, including variability, had a higher predictive power relating to severe forms of behaviour like suicide attempts(38).…”

Section: Discussionmentioning

confidence: 99%

White matter microstructure and its relation to longitudinal measures of depressive symptoms in mid-late life

Shen

Adams

Cox

et al. 2019

Preprint

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BackgroundStudies of white matter microstructure in depression typically show alterations in depressed individuals, but they are frequently limited by small sample sizes and the absence of longitudinal measures of depressive symptoms. Depressive symptoms are however dynamic, and understanding the neurobiology of different trajectories could have important clinical implications.MethodsWe examined associations between current and longitudinal measures of depressive symptoms and white matter microstructure (Fractional Anisotropy, FA; Mean Diffusivity; MD) in the UK Biobank Imaging study. Depressive symptoms were assessed on 2-4 occasions over 5.9 to 10.7 years (on N=18,959 individuals on at least two occasions, N=4,444 on four occasions) from which we derived four measures of depressive symptomatology; (i) cross-sectional measure at the time of scan (imaging was conducted at a single time point), and three longitudinal measures, (ii) trajectory (iii) mean and (iv) intra-subject variance over time.ResultsDecreased white matter microstructure in the anterior thalamic radiation demonstrated significant associations across all four measures of depressive symptoms (for MD: β=0.020 to 0.029, pcorr<0.030). The greatest effect sizes were however seen between decreasing white matter integrity and increasing longitudinal progression of symptoms (for MD: β=0.030 to 0.040, pcorr<0.049). Cross-sectional symptom severity was particularly associated with decreased white matter integrity in association fibres and thalamic radiations (MD: β=0.015 to 0.039, pcorr<0.041). While greater mean and within subject variance of depressive symptoms were mainly associated with decreased white matter microstructure within projection fibres (MD: β=0.019 to 0.029, pcorr<0.044).ConclusionsThese findings indicate shared and differential neurobiological associations with severity, course and intra-subject variability of depressive symptoms. This enriches our understanding of the neurobiology underlying dynamic features of the disorder.

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“…It is therefore possible that in childhood, heartbeat counting ability may not be fully developed or it may not have reached adult levels of stability. For example, anxiety is only moderately stable across childhood: correlations between measures at different time points are only ∼r =.30 (e.g., Cheesman et al, 2018). In contrast, stability in adulthood is greater, in the region of ∼r = .50 (e.g., Nes, Røysamb, Reichborn-Kjennerud, Harris, & Tambs, 2007) with some evidence that stability increases with age (from around r =.60 in adolescence to r = .80 in adulthood; e.g., Nivard et al, 2015).…”

Section: Tablementioning

confidence: 99%

Estimating the stability of heartbeat counting in middle childhood: a twin study

Murphy¹,

Cheesman²,

Gregory³

et al. 2019

Preprint

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There is growing interest in interoception, the perception of the body’s internal state, and its relevance for health and higher-order cognition across development. To date, most evidence linking interoception to health and cognition has used the heartbeat counting task. However, the stability of the measure across time, particularly during childhood, and the etiological factors that underlie individual differences in stability remain largely unexamined. Using data from the ECHO twin sample (N=204 twin pairs), we estimated the magnitude of genetic and environmental influences on the stability of heartbeat counting across a two-year period (8-10 years), the longest time-frame examined. We found a relatively modest correlation between heartbeat counting accuracy across time (r=.35), with accuracy on the heartbeat counting task improving with age. In our longitudinal twin analysis, we found that the heritability of heartbeat counting dropped between Time 1 and Time 2 from 30% to 6%. No new genetic influences were observed at Time 2, suggesting that genetic influences across this age-range are entirely stable. In contrast, shared environmental influences increased from 6% to 22%, with most of the influence at Time 2 due to new environmental factors. Of note, nonshared environmental factors accounted for the greatest proportion of variance at both time points, 64% and 73% respectively, and were the main contributors to temporal stability in heartbeat counting accuracy. Future research should seek to identify these non-shared environmental factors and elucidate whether this relatively modest stability reflects variability of interoception across development or unreliability of the heartbeat counting task.

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Extracting stability increases the SNP heritability of emotional problems in young people

Cited by 36 publications

References 46 publications

Maternal and paternal effects on offspring internalizing problems: Results from genetic and family‐based analyses

Maternal and paternal effects on offspring internalizing problems: Results from genetic and family‐based analyses

White matter microstructure and its relation to longitudinal measures of depressive symptoms in mid-late life

Estimating the stability of heartbeat counting in middle childhood: a twin study

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