ArticleBehavior genetics2023
Genetic and Environmental Variation in Continuous Phenotypes in the ABCD Study®.
Article in Behavior genetics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.
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Who cites it
27 citing papers in PubMed, 38 citations in OpenAlex.
- Lobular and Voxel-Wise Genetic Influences on Cerebellar Gray Matter Volume and Associations With Social and Trait Anxiety in Twins.Human brain mapping · 2026Article
- The longitudinal structure of cognition in the ABCD study and associations with neural function and psychopathology: A Bayesian probabilistic principal components analysis.Developmental cognitive neuroscience · 2026Article
- The Adolescent Brain Cognitive Development (ABCD) Study: Ten years of statistical and methodological contributions.Developmental cognitive neuroscience · 2026Article
- ADHD and Student Grades in Children from the ABCD StudyBehavior genetics · 2026Article
- High Prevalence of Suicidal Behavior in Severe Alcohol Use Disorder Linked to Specific Neurocognitive Deficits: The Cognition, Alcohol, Genes, and Environment Study.Journal of studies on alcohol and drugs · 2026Article
- A decade of discovery: Leveraging genomic data in the ABCD study to illuminate adolescent neurodevelopment.Developmental cognitive neuroscience · 2026Review
- Evaluation of epistasis detection methods for quantitative phenotypes.Bioinformatics (Oxford, England) · 2026Article
- Genetic and Environmental Associations Among Pain, Sleep Disturbances, and Substance Use Intent in Early Adolescence.Journal of adolescence · 2026Article
- Ethnic Discrimination Moderates Genetic Influences on Adolescent Internalizing and Externalizing Psychopathology.Behavior genetics · 2026Article
- Socioeconomic context influences the heritability of child cortical structure.Communications biology · 2025Article
- Measurement Error and Power in Family-Based Extensions to Mendelian Randomization.Behavior genetics · 2025Article
- Socioeconomic context influences the heritability of child cortical structure.medRxiv : the preprint server for health sciences · 2025Article
- The Genetics of Cerebellar Structure and Associations With Cognitive Performance: A Twin Magnetic Resonance Imaging Study.Human brain mapping · 2025Article
- Measuring the Associations Between Brain Morphometry and Polygenic Risk Scores for Substance use Disorders in Drug-Naive Adolescents.Behavior genetics · 2025Article
- Genetic and environmental contributions to ReHo and fALFF in early adolescence vary across brain regions.Cerebral cortex (New York, N.Y. : 1991) · 2025Article
- The genetics of spatiotemporal variation in cortical thickness in youth.Communications biology · 2024Article
- The ABCD and HBCD Studies: Longitudinal Studies to Inform Prevention Science.Focus (American Psychiatric Publishing) · 2024Review
- Diversity-aware Population Models: Quantifying Associations between Socio-Spatial Factors and Cognitive Development in the ABCD Cohort.Research square · 2024Article
- Heritability of functional gradients in the human subcortico-cortical connectivity.Communications biology · 2024Article
- Partitioning variance in cortical morphometry into genetic, environmental, and subject-specific components.Cerebral cortex (New York, N.Y. : 1991) · 2024Article
Corrections and comments
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Authors and funding
13 authors at 6 institutions in 1 country.
Funding
Abstract
Twin studies yield valuable insights into the sources of variation, covariation and causation in human traits. The ABCD Study® (abcdstudy.org) was designed to take advantage of four universities known for their twin research, neuroimaging, population-based sampling, and expertise in genetic epidemiology so that representative twin studies could be performed. In this paper we use the twin data to: (i) provide initial estimates of heritability for the wide range of phenotypes assessed in the ABCD Study using a consistent direct variance estimation approach, assuring that both data and methodology are sound; and (ii) provide an online resource for researchers that can serve as a reference point for future behavior genetic studies of this publicly available dataset. Data were analyzed from 772 pairs of twins aged 9-10 years at study inception, with zygosity determined using genotypic data, recruited and assessed at four twin hub sites. The online tool provides twin correlations and both standardized and unstandardized estimates of additive genetic, and environmental variation for 14,500 continuously distributed phenotypic features, including: structural and functional neuroimaging, neurocognition, personality, psychopathology, substance use propensity, physical, and environmental trait variables. The estimates were obtained using an unconstrained variance approach, so they can be incorporated directly into meta-analyses without upwardly biasing aggregate estimates. The results indicated broad consistency with prior literature where available and provided novel estimates for phenotypes without prior twin studies or those assessed at different ages. Effects of site, self-identified race/ethnicity, age and sex were statistically controlled. Results from genetic modeling of all 53,172 continuous variables, including 38,672 functional MRI variables, will be accessible via the user-friendly open-access web interface we have established, and will be updated as new data are released from the ABCD Study. This paper provides an overview of the initial results from the twin study embedded within the ABCD Study, an introduction to the primary research domains in the ABCD study and twin methodology, and an evaluation of the initial findings with a focus on data quality and suitability for future behavior genetic studies using the ABCD dataset. The broad introductory material is provided in recognition of the multidisciplinary appeal of the ABCD Study. While this paper focuses on univariate analyses, we emphasize the opportunities for multivariate, developmental and causal analyses, as well as those evaluating heterogeneity by key moderators such as sex, demographic factors and genetic background.
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