A Genome-Wide Association Meta-Analysis of Attention-Deficit/Hyperactivity Disorder Symptoms in Population-Based Pediatric Cohorts.
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| Abstract | OBJECTIVE: The aims of this study were to elucidate the influence of common genetic variants on childhood attention-deficit/hyperactivity disorder (ADHD) symptoms, to identify genetic variants that explain its high heritability, and to investigate the genetic overlap of ADHD symptom scores with ADHD diagnosis. METHOD: Within the EArly Genetics and Lifecourse Epidemiology (EAGLE) consortium, genome-wide single nucleotide polymorphisms (SNPs) and ADHD symptom scores were available for 17,666 children (13 years of age) from nine population-based cohorts. SNP-based heritability was estimated in data from the three largest cohorts. Meta-analysis based on genome-wide association (GWA) analyses with SNPs was followed by gene-based association tests, and the overlap in results with a meta-analysis in the Psychiatric Genomics Consortium (PGC) case-control ADHD study was investigated. RESULTS: SNP-based heritability ranged from 5% to 34%, indicating that variation in common genetic variants influences ADHD symptom scores. The meta-analysis did not detect genome-wide significant SNPs, but three genes, lying close to each other with SNPs in high linkage disequilibrium (LD), showed a gene-wide significant association (p values between 1.46 × 10(-6) and 2.66 × 10(-6)). One gene, WASL, is involved in neuronal development. Both SNP- and gene-based analyses indicated overlap with the PGC meta-analysis results with the genetic correlation estimated at 0.96. CONCLUSION: The SNP-based heritability for ADHD symptom scores indicates a polygenic architecture, and genes involved in neurite outgrowth are possibly involved. Continuous and dichotomous measures of ADHD appear to assess a genetically common phenotype. A next step is to combine data from population-based and case-control cohorts in genetic association studies to increase sample size and to improve statistical power for identifying genetic variants. |
| Year of Publication | 2016
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| Journal | J Am Acad Child Adolesc Psychiatry
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| Volume | 55
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| Issue | 10
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| Pages | 896-905.e6
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| Date Published | 2016 Oct
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| ISSN | 1527-5418
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| DOI | 10.1016/j.jaac.2016.05.025
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| PubMed ID | 27663945
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| PubMed Central ID | PMC5068552
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| Grant list | RC2 MH089951 / MH / NIMH NIH HHS / United States
RC2 MH089995 / MH / NIMH NIH HHS / United States
MC_UU_12013/3 / Medical Research Council / United Kingdom
R01 HD059215 / HD / NICHD NIH HHS / United States
U01 NS047537 / NS / NINDS NIH HHS / United States
102215 / Wellcome Trust / United Kingdom
N01ES75558 / ES / NIEHS NIH HHS / United States
MC_PC_15018 / Medical Research Council / United Kingdom
MC_UU_12013/1 / Medical Research Council / United Kingdom
R01 HD044454 / HD / NICHD NIH HHS / United States
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