childhood and adolescent internalising symptoms
Introduction
Study Title: Genome-wide Association Meta-analysis of Childhood and Adolescent Internalizing Symptoms
Authors: Eshim S. Jami, Anke R. Hammerschlag, Hill F. Ip, Andrea G. Allegrini, et al.
Objective: Investigate genetic architecture of internalizing symptoms in childhood/adolescence.
Methodology
Sample Size: 22 cohorts, repeated assessments of internalizing symptoms involving 64,561 children/adolescents aged 3-18.
Assessment Types: Included multiple/univariate GWASs (Genome-Wide Association Studies), aggregated in meta-analyses.
Main Analyses: Assessed heritability, genetic correlations by rater, age, and instrument.
Findings
General Results:
Meta-analysis of INToverall (overall internalizing symptoms).
No genome-wide significant hits found.
SNP heritability: 1.66% (95% CI: 0.84%-2.48%).
Heritability Analysis:
Self-reported internalizing symptoms had highest heritability: 5.63% (95% CI: 3.08%-8.18%).
Stability in additive genetic effects across ages.
Genetic correlations with adult anxiety and depression (|rg| > 0.70).
Other Factors:
Notable genetic correlations with insomnia, ADHD, autism, and childhood aggression (|rg| 0.42-0.60).
No significant correlations with schizophrenia, bipolar disorder, OCD.
Conclusion
Internalizing symptoms in childhood signal genetic vulnerabilities shared with adult psychiatric disorders.
Addressing phenotypic heterogeneity in childhood samples crucial for advancing GWAS success.
Key concepts include depression, anxiety, repeated measures, genetic epidemiology, and molecular genetics.
Key Statistics
Sample Overlap: Effective sample size of 132,260.
Psychological impact: Internalizing disorders significantly burden global health.
Epidemiology: Childhood depression prevalence at 2-3%, anxiety at 6-7%.
Genetic Components
Estimates indicate that genetic factors explain 40% to 50% variance in internalizing symptoms.
Limited research on molecular genetic architecture for early life internalizing symptoms until now; earlier studies yielded no genome-wide significant hits.
Methodological Innovations
In-depth meta-analyses employed N-weighed methods to adjust for repeated measurements
Used MAGMA for gene-based analysis and assessed tissue specificity.
Genetic correlations derived using public datasets to explore broader connections with traits like neuroticism.
Limitations
Current findings apply primarily to individuals of European ancestry.
Low SNP heritability raises questions about the detectability of strong associations.
Suggests future studies to consider sex-differentiated analyses and multi-ancestry cohorts for broader applicability.
Future Directions
Future GWAS must focus on reducing rater heterogeneity in childhood studies.
Enhancing sample sizes and methodological robustness critical for discovering specific genomic loci.
Integrative approaches considering common conditions like depression and anxiety could enhance understanding of genetic contributions to internalizing symptoms.