4.0 Article

Genome-Wide Association Study of Inattention and Hyperactivity-Impulsivity Measured as Quantitative Traits

期刊

TWIN RESEARCH AND HUMAN GENETICS
卷 16, 期 2, 页码 560-574

出版社

CAMBRIDGE UNIV PRESS
DOI: 10.1017/thg.2013.12

关键词

ADHD; inattention; hyperactivity-impulsivity; SWAN; GWAS; meta-analysis

资金

  1. University of New England
  2. Australian Research Council [110100548]
  3. US National Institute on Drug Abuse [R00DA023549]
  4. Australian National Health and Medical Research Council [1009839]
  5. NHMRC [389892, 496682, 496688, 496739, 613672]
  6. ARC [FT0991022, FT0991360]

向作者/读者索取更多资源

Genome-wide association studies (GWAS) of attention-deficit/hyperactivity disorder (ADHD) offer the benefit of a hypothesis-free approach to measuring the quantitative effect of genetic variants on affection status. Generally the findings of GWAS relying on ADHD status have been non-significant, but the one study using quantitative measures of symptoms found SLC9A9 and SLC6A1 were associated with inattention and hyperactivity-impulsivity. Accordingly, we performed a GWAS using quantitative measures of each ADHD subtype measured with the Strengths and Weaknesses of ADHD and Normal Behaviour (SWAN) scale in two community-based samples. This scale captures the full range of attention and kinetic behavior; from high levels of attention and appropriate activity to the inattention and hyperactivity-impulsivity associated with ADHD within two community-based samples. Our discovery sample comprised 1,851 participants (mean age = 22.8 years [4.8]; 50.6% female), while our replication sample comprised 155 participants (mean age = 26.3 years [3.1]; 68.4% females). Age, sex, age x sex, and age(2) were included as covariates and the results from each sample were combined using meta-analysis, then analyzed with a gene-based test to estimate the combined effect of markers within genes. We compare our results with markers that have previously been found to have a strong association with ADHD symptoms. Neither the GWAS nor subsequent meta-analyses yielded genome-wide significant results; the strongest effect was observed at rs2110267 (4.62 x 10(-7)) for symptoms of hyperactivity-impulsivity. The strongest effect in the gene-based test was for GPR139 on symptoms of inattention (6.40 x 10(-5)). Replication of this study with larger samples will add to our understanding of the genetic etiology of ADHD.

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