The Lausanne–Geneva cohort study of offspring of parents with mood disorders: methodology, findings, current sample characteristics, and perspectives

Vandeleur, Caroline L.; Strippoli, Marie‐Pierre F.; Castelao, Enrique; Gholam‐Rezaee, Mehdi; Ferrero, François; Marquet, Pierre; Aubry, Jean‐Michel; Preisig, Martin

doi:10.1007/s00127-017-1382-0

Cited by 10 publications

(6 citation statements)

References 105 publications

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“…Therefore, children of bipolar parents are an important high-risk group. Our longitudinal offspring study [12,43], together with convergent findings from other international offspring studies [44][45][46][47], provides robust evidence that in high-risk offspring bipolar disorder typically debuts with depressive episodes in adolescence. These depressive episodes are severe, debilitating, recurrent, not uncommonly characterized by suicidal thoughts and behaviors, and sometimes include psychotic features.…”

Section: Lithium As An Alternative Treatment In Select Pediatric Popusupporting

confidence: 72%

Lithium Treatment in Children and Adolescents

Duffy

Grof

2018

Pharmacopsychiatry

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Section: Lithium As An Alternative Treatment In Select Pediatric Popusupporting

confidence: 72%

Lithium Treatment in Children and Adolescents

Duffy

Grof

2018

Pharmacopsychiatry

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“…The Lausanne High-Risk Study is a prospective cohort study that used a 3-year interval panel design for both parents and offspring as described in detail elsewhere [20] . Offspring were invited to consent to participate, or assent with parental authorization if a minor.…”

Section: Methodsmentioning

confidence: 99%

“…In offspring >18 years, the DIGS was used to establish diagnoses. As in the Canadian Flourish High-Risk Cohort, self and clinician-reported validated measures of symptoms and psychosocial factors were collected at baseline and during follow-up assessments [20] .…”

Section: Methodsmentioning

confidence: 99%

“…In the present study, we developed and externally validated an individual risk calculator that would be relevant for use in routine clinical practice settings. We used data from the Canadian Flourish Longitudinal High-Risk Offspring Study [16] and then independently tested the model using data from the Lausanne–Geneva Longitudinal High-Risk Offspring study [20] . Both longitudinal observational studies identified high-risk offspring through a parent with confirmed BD and repeatedly assessed the offspring over a period up to 20 (Flourish) and 13 (Lausanne-Geneva) years, respectively.…”

Section: Introductionmentioning

confidence: 99%

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Development and validation of a risk calculator for major mood disorders among the offspring of bipolar parents using information collected in routine clinical practice

et al. 2021

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Background Family history is a significant risk factor for bipolar disorders (BD), but the magnitude of risk varies considerably between individuals within and across families. Accurate risk estimation may increase motivation to reduce modifiable risk exposures and identify individuals appropriate for monitoring over the peak risk period. Our objective was to develop and independently replicate an individual risk calculator for bipolar spectrum disorders among the offspring of BD parents using data collected in routine clinical practice. Methods Data from the longitudinal Canadian High-Risk Offspring cohort study collected from 1996 to 2020 informed the development of a 5 and 10-year risk calculator using parametric time-to-event models with a cure fraction and a generalized gamma distribution. The calculator was then externally validated using data from the Lausanne–Geneva High-Risk Offspring cohort study collected from 1996 to 2020. A time-varying C-index by age in years was used to estimate the probability that the model correctly classified risk. Bias corrected estimates and 95% confidence limits were derived using a jackknife resampling approach. Findings The primary outcome was age of onset of a major mood disorder. The risk calculator was most accurate at classifying risk in mid to late adolescence in the Canadian cohort ( n = 285), and a similar pattern was replicated in the Swiss cohort ( n = 128). Specifically, the time-varying C-index indicated that there was approximately a 70% chance that the model would correctly predict which of two 15-year-olds would be more likely to develop the outcome in the future. External validation within a smaller Swiss cohort showed mixed results. Interpretation Findings suggest that this model may be a useful clinical tool in routine practice for improved individualized risk estimation of bipolar spectrum disorders among the adolescent offspring of a BD parent; however, risk estimation in younger high-risk offspring is less accurate, perhaps reflecting the evolving nature of psychopathology in early childhood. Based on external validation with a Swiss cohort, the risk calculator may not be as predictive in more heterogenous high-risk populations. Funding The Canadian High-Risk Study has been funded by consecutive operating grants from the Canadian Institutes for Health Research, currently CIHR PJT Grant 152796 he Lausanne-Geneva high-risk study was and is supported by five grants from the Swiss National Foundation (#3200–040,677, #32003B-105,969, #32003B-118,326, #3200–049,746 and #3200–061,974), three grants from the Swiss National Foundation for the National Centres of Competence in Research project “The Synaptic Bases of Mental Diseases” (#125,759, #158,776, and #51NF40 – 185,897), and a grant from GlaxoSmithKline Clinical Genetics.

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“…Our data stem from the Lausanne–Geneva high‐risk study on mood disorders, which has been described in detail (Vandeleur et al., 2017). Briefly, this study included all available 6.0‐ to 17.9‐year‐old offspring ( n = 642) of inpatients and outpatients with bipolar‐I, bipolar‐II, schizoaffective bipolar disorder, MDD, alcohol or heroine dependence and medical controls recruited between 1996 and 2004.…”

Section: Methodsmentioning

confidence: 99%

Psychopathological precursors of the onset of mood disorders in offspring of parents with and without mood disorders: results of a 13‐year prospective cohort high‐risk study

Rudaz

Vandeleur

Gholam

et al. 2020

Child Psychology Psychiatry

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Background: There is still limited evidence from prospective high-risk research on the evolution of specific disorders that may emerge early in the development of mood disorders. Moreover, few studies have examined the specificity of mood disorder subtypes among offspring of parents with both major subtypes of mood disorders and controls based on prospective tracking across the transition from childhood to adulthood. Our specific objectives were to (a) identify differences in patterns of psychopathological precursors among youth with (hypo)mania compared to MDD and (b) examine whether these patterns differ by subtypes of parental mood disorders. Methods: Our data stem from a prospective cohort study of 449 directly interviewed offspring (51% female, mean age 10.1 years at study intake) of 88 patients with BPD, 71 with MDD, 30 with substance use disorders and 60 medical controls. The mean duration of follow-up was 13.2 years with evaluations conducted every three years. Results: Within the whole cohort of offspring, MDE (Hazard Ratio = 4.44; 95%CI: 2.19-9.02), CD (HR = 3.31;1.55-7.07) and DUD (HR = 2.54; 1.15-5.59) predicted the onset of (hypo)manic episodes, whereas MDD in offspring was predicted by SAD (HR = 1.53; 1.09-2.15), generalized anxiety (HR = 2.56; 1.05-6.24), and panic disorder (HR = 3.13; 1.06-9.23). The early predictors of (hypo)mania in the whole cohort were also significantly associated with the onset of (hypo)mania among the offspring of parents with BPD. Conclusions: The onset of mood disorders is frequently preceded by identifiable depressive episodes and nonmood disorders. These precursors differed by mood subtype in offspring. High-risk offspring with these precursors should be closely monitored to prevent the further development of MDD or conversion to BPD.

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The Lausanne–Geneva cohort study of offspring of parents with mood disorders: methodology, findings, current sample characteristics, and perspectives

Abstract: Information from clinical, biological, cognitive, and behavioral measures, based on contemporary knowledge, should further enhance our understanding of mood disorder psychopathology, its consequences, and underlying mechanisms.

Cited by 10 publications

References 105 publications

Lithium Treatment in Children and Adolescents

Lithium Treatment in Children and Adolescents

Development and validation of a risk calculator for major mood disorders among the offspring of bipolar parents using information collected in routine clinical practice

Psychopathological precursors of the onset of mood disorders in offspring of parents with and without mood disorders: results of a 13‐year prospective cohort high‐risk study

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