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Auteur Alexandre A. LUSSIER
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Documents disponibles écrits par cet auteur (2)
Faire une suggestion Affiner la rechercheGenetic susceptibility for major depressive disorder associates with trajectories of depressive symptoms across childhood and adolescence / Alexandre A. LUSSIER in Journal of Child Psychology and Psychiatry, 62-7 (July 2021)
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Titre : Genetic susceptibility for major depressive disorder associates with trajectories of depressive symptoms across childhood and adolescence Type de document : texte imprimé Auteurs : Alexandre A. LUSSIER, Auteur ; Matthew HAWRILENKO, Auteur ; Min-Jung WANG, Auteur ; Karmel W. CHOI, Auteur ; Janine CERUTTI, Auteur ; Yiwen ZHU, Auteur ; Erin C. DUNN, Auteur Article en page(s) : p.895-904 Langues : Anglais (eng) Mots-clés : Adolescent Adult Child Depression Depressive Disorder, Major/epidemiology/genetics Genetic Predisposition to Disease/genetics Genome-Wide Association Study Humans Longitudinal Studies Prospective Studies Alspac Depression trajectories development longitudinal polygenic risk scores Index. décimale : PER Périodiques Résumé : BACKGROUND: Early-onset depression during childhood and adolescence is associated with a worse course of illness and outcome than adult onset. However, the genetic factors that influence risk for early-onset depression remain mostly unknown. Using data collected over 13 years, we examined whether polygenic risk scores (PRS) that capture genetic risk for depression were associated with depressive symptom trajectories assessed from childhood to adolescence. METHODS: Data came from the Avon Longitudinal Study of Parents and Children, a prospective, longitudinal birth cohort (analytic sample = 7,308 youth). We analyzed the relationship between genetic susceptibility to depression and three time-dependent measures of depressive symptoms trajectories spanning 4-16.5 years of age (class, onset, and cumulative burden). Trajectories were constructed using a growth mixture model with structured residuals. PRS were generated from the summary statistics of a genome-wide association study of depression risk using data from the Psychiatric Genomics Consortium, UK Biobank, and 23andMe, Inc. We used MAGMA to identify gene-level associations with these measures. RESULTS: Youth were classified into six classes of depressive symptom trajectories: high/renitent (27.9% of youth), high/reversing (9.1%), childhood decrease (7.3%), late childhood peak (3.3%), adolescent spike (2.5%), and minimal symptoms (49.9%). PRS discriminated between youth in the late childhood peak, high/reversing, and high/renitent classes compared to the minimal symptoms and childhood decrease classes. No significant associations were detected at the gene level. CONCLUSIONS: This study highlights differences in polygenic loading for depressive symptoms across childhood and adolescence, particularly among youths with high symptoms in early adolescence, regardless of age-independent patterns. En ligne : http://dx.doi.org/10.1111/jcpp.13342 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=456
in Journal of Child Psychology and Psychiatry > 62-7 (July 2021) . - p.895-904[article] Genetic susceptibility for major depressive disorder associates with trajectories of depressive symptoms across childhood and adolescence [texte imprimé] / Alexandre A. LUSSIER, Auteur ; Matthew HAWRILENKO, Auteur ; Min-Jung WANG, Auteur ; Karmel W. CHOI, Auteur ; Janine CERUTTI, Auteur ; Yiwen ZHU, Auteur ; Erin C. DUNN, Auteur . - p.895-904.
Langues : Anglais (eng)
in Journal of Child Psychology and Psychiatry > 62-7 (July 2021) . - p.895-904
Mots-clés : Adolescent Adult Child Depression Depressive Disorder, Major/epidemiology/genetics Genetic Predisposition to Disease/genetics Genome-Wide Association Study Humans Longitudinal Studies Prospective Studies Alspac Depression trajectories development longitudinal polygenic risk scores Index. décimale : PER Périodiques Résumé : BACKGROUND: Early-onset depression during childhood and adolescence is associated with a worse course of illness and outcome than adult onset. However, the genetic factors that influence risk for early-onset depression remain mostly unknown. Using data collected over 13 years, we examined whether polygenic risk scores (PRS) that capture genetic risk for depression were associated with depressive symptom trajectories assessed from childhood to adolescence. METHODS: Data came from the Avon Longitudinal Study of Parents and Children, a prospective, longitudinal birth cohort (analytic sample = 7,308 youth). We analyzed the relationship between genetic susceptibility to depression and three time-dependent measures of depressive symptoms trajectories spanning 4-16.5 years of age (class, onset, and cumulative burden). Trajectories were constructed using a growth mixture model with structured residuals. PRS were generated from the summary statistics of a genome-wide association study of depression risk using data from the Psychiatric Genomics Consortium, UK Biobank, and 23andMe, Inc. We used MAGMA to identify gene-level associations with these measures. RESULTS: Youth were classified into six classes of depressive symptom trajectories: high/renitent (27.9% of youth), high/reversing (9.1%), childhood decrease (7.3%), late childhood peak (3.3%), adolescent spike (2.5%), and minimal symptoms (49.9%). PRS discriminated between youth in the late childhood peak, high/reversing, and high/renitent classes compared to the minimal symptoms and childhood decrease classes. No significant associations were detected at the gene level. CONCLUSIONS: This study highlights differences in polygenic loading for depressive symptoms across childhood and adolescence, particularly among youths with high symptoms in early adolescence, regardless of age-independent patterns. En ligne : http://dx.doi.org/10.1111/jcpp.13342 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=456 Type and developmental timing of childhood adversity predicts psychopathology symptoms in a South African birth cohort / Sherief Y. ELDEEB in Journal of Child Psychology and Psychiatry, 67-9 (September 2026)
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Titre : Type and developmental timing of childhood adversity predicts psychopathology symptoms in a South African birth cohort Type de document : texte imprimé Auteurs : Sherief Y. ELDEEB, Auteur ; Brooke G. MCKENNA, Auteur ; Marilyn T. LAKE, Auteur ; Nadia HOFFMAN, Auteur ; Alexandre A. LUSSIER, Auteur ; Esther WALTON, Auteur ; Andrew J. SIMPKIN, Auteur ; Andrew D.A.C. SMITH, Auteur ; Heather J. ZAR, Auteur ; Dan J. STEIN, Auteur ; Erin C. DUNN, Auteur Article en page(s) : p.1547-1561 Langues : Anglais (eng) Mots-clés : Childhood adversity life-course hypotheses sensitive period low- and middle-income countries (LMIC) SLCMA Index. décimale : PER Périodiques Résumé : Background Childhood adversity is widespread globally and is one of the strongest predictors of later psychopathology. However, the differential effects of type and timing of childhood adversities on childhood psychopathology remain unclear, highlighting the need to explore which life-course hypotheses (sensitive periods, accumulation of exposure, and/or recency of exposure) best explain these associations. Of particular importance, there is a lack of research in low- and middle-income countries (LMIC), where children experience higher rates of adversity relative to children in high-income countries (HIC). Methods Participants included 787 children and their mothers from a South African birth cohort, the Drakenstein Child Health Study. Mothers reported child exposure to adversity from birth to 8?years of age across six adversity categories. We used the two-stage Structured Life-Course Modeling Approach (SLCMA) to examine life-course associations between childhood adversity exposures and internalizing/externalizing symptoms measured using the Child Behavior Checklist at age 8?years. Results Maternal psychopathology, maternal adverse events, child food insecurity, and child exposure to community/domestic violence had the strongest associations with child psychopathology symptoms, with varying life-course models selected. The accumulation hypothesis best explained associations of maternal adverse events (partial R2?=?2.3%) and child exposure to community/domestic violence (partial R2?=?1.6%) with internalizing symptoms. The combined middle childhood sensitive period (age?>?5?8) and recency hypotheses model best explained associations between maternal psychopathology and internalizing (partial R2?=?7.0%) or externalizing (partial R2?=?5.1%) symptoms. Conclusions We identified that different types and timing of childhood adversity confer differential risk for childhood psychopathology symptoms in this LMIC sample. Our work has implications for strategically-timed intervention and prevention strategies to improve mental health, which may need to be specifically designed for children in LMIC. En ligne : https://doi.org/10.1111/jcpp.70148 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=592
in Journal of Child Psychology and Psychiatry > 67-9 (September 2026) . - p.1547-1561[article] Type and developmental timing of childhood adversity predicts psychopathology symptoms in a South African birth cohort [texte imprimé] / Sherief Y. ELDEEB, Auteur ; Brooke G. MCKENNA, Auteur ; Marilyn T. LAKE, Auteur ; Nadia HOFFMAN, Auteur ; Alexandre A. LUSSIER, Auteur ; Esther WALTON, Auteur ; Andrew J. SIMPKIN, Auteur ; Andrew D.A.C. SMITH, Auteur ; Heather J. ZAR, Auteur ; Dan J. STEIN, Auteur ; Erin C. DUNN, Auteur . - p.1547-1561.
Langues : Anglais (eng)
in Journal of Child Psychology and Psychiatry > 67-9 (September 2026) . - p.1547-1561
Mots-clés : Childhood adversity life-course hypotheses sensitive period low- and middle-income countries (LMIC) SLCMA Index. décimale : PER Périodiques Résumé : Background Childhood adversity is widespread globally and is one of the strongest predictors of later psychopathology. However, the differential effects of type and timing of childhood adversities on childhood psychopathology remain unclear, highlighting the need to explore which life-course hypotheses (sensitive periods, accumulation of exposure, and/or recency of exposure) best explain these associations. Of particular importance, there is a lack of research in low- and middle-income countries (LMIC), where children experience higher rates of adversity relative to children in high-income countries (HIC). Methods Participants included 787 children and their mothers from a South African birth cohort, the Drakenstein Child Health Study. Mothers reported child exposure to adversity from birth to 8?years of age across six adversity categories. We used the two-stage Structured Life-Course Modeling Approach (SLCMA) to examine life-course associations between childhood adversity exposures and internalizing/externalizing symptoms measured using the Child Behavior Checklist at age 8?years. Results Maternal psychopathology, maternal adverse events, child food insecurity, and child exposure to community/domestic violence had the strongest associations with child psychopathology symptoms, with varying life-course models selected. The accumulation hypothesis best explained associations of maternal adverse events (partial R2?=?2.3%) and child exposure to community/domestic violence (partial R2?=?1.6%) with internalizing symptoms. The combined middle childhood sensitive period (age?>?5?8) and recency hypotheses model best explained associations between maternal psychopathology and internalizing (partial R2?=?7.0%) or externalizing (partial R2?=?5.1%) symptoms. Conclusions We identified that different types and timing of childhood adversity confer differential risk for childhood psychopathology symptoms in this LMIC sample. Our work has implications for strategically-timed intervention and prevention strategies to improve mental health, which may need to be specifically designed for children in LMIC. En ligne : https://doi.org/10.1111/jcpp.70148 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=592

