ArticleGenetic epidemiology2018
Genetic associations with childhood brain growth, defined in two longitudinal cohorts.
Article in Genetic epidemiology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 3 of them syntheses that pooled it.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
7 citing papers in PubMed, 3 syntheses or guidelines pooled it, 13 citations in OpenAlex.
- Genetic variants associated with longitudinal changes in brain structure across the lifespan.Nature neuroscience · 2022Pooled it
- Systematic Review: How the Attention-Deficit/Hyperactivity Disorder Polygenic Risk Score Adds to Our Understanding of ADHD and Associated Traits.Journal of the American Academy of Child and Adolescent Psychiatry · 2021Pooled it
- Comparative meta-analyses of brain structural and functional abnormalities during cognitive control in attention-deficit/hyperactivity disorder and autism spectrum disorder.Psychological medicine · 2020Pooled it
- Examining the interaction between prenatal stress and polygenic risk for attention-deficit/hyperactivity disorder on brain growth in childhood: Findings from the DREAM BIG consortium.Developmental psychobiology · 2024Article
- Molecular Variants in Human Trace Amine-Associated Receptors and Their Implications in Mental and Metabolic Disorders.Cellular and molecular neurobiology · 2020Review
- ComPaSS-GWAS: A method to reduce type I error in genome-wide association studies when replication data are not available.Genetic epidemiology · 2019Article
- Non-Functional Trace Amine-Associated Receptor 1 Variants in Patients With Mental Disorders.Frontiers in pharmacology · 2019Article
Corrections and comments
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Authors and funding
12 authors at 2 institutions in 3 countries.
Funding
Abstract
Genome-wide association studies (GWASs) are unraveling the genetics of adult brain neuroanatomy as measured by cross-sectional anatomic magnetic resonance imaging (aMRI). However, the genetic mechanisms that shape childhood brain development are, as yet, largely unexplored. In this study we identify common genetic variants associated with childhood brain development as defined by longitudinal aMRI. Genome-wide single nucleotide polymorphism (SNP) data were determined in two cohorts: one enriched for attention-deficit/hyperactivity disorder (ADHD) (LONG cohort: 458 participants; 119 with ADHD) and the other from a population-based cohort (Generation R: 257 participants). The growth of the brain's major regions (cerebral cortex, white matter, basal ganglia, and cerebellum) and one region of interest (the right lateral prefrontal cortex) were defined on all individuals from two aMRIs, and a GWAS and a pathway analysis were performed. In addition, association between polygenic risk for ADHD and brain growth was determined for the LONG cohort. For white matter growth, GWAS meta-analysis identified a genome-wide significant intergenic SNP (rs12386571, P = 9.09 × 10
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.