Ebejer Jane L, Duffy David L, van der Werf Julius, Wright Margaret J, Montgomery Grant, Gillespie Nathan A, Hickie Ian B, Martin Nicholas G, Medland Sarah E
School of Environmental and Rural Sciences, University of New England, Armidale, New South Wales, Australia.
Twin Res Hum Genet. 2013 Apr;16(2):560-74. doi: 10.1017/thg.2013.12.
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 × sex, and age2 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 × 10-7) for symptoms of hyperactivity-impulsivity. The strongest effect in the gene-based test was for GPR139 on symptoms of inattention (6.40 × 10-5). Replication of this study with larger samples will add to our understanding of the genetic etiology of ADHD.
注意力缺陷多动障碍(ADHD)的全基因组关联研究(GWAS)提供了一种无假设方法的优势,用于测量基因变异对患病状态的定量影响。一般来说,依赖ADHD状态的GWAS研究结果并不显著,但一项使用症状定量测量的研究发现,SLC9A9和SLC6A1与注意力不集中和多动冲动有关。因此,我们在两个基于社区的样本中,使用ADHD及正常行为的优势与劣势(SWAN)量表对每种ADHD亚型进行定量测量,开展了一项GWAS。该量表涵盖了注意力和运动行为的全范围;从高度注意力和适当活动到两个基于社区的样本中与ADHD相关的注意力不集中和多动冲动。我们的发现样本包括1851名参与者(平均年龄 = 22.8岁[4.8];50.6%为女性),而我们的复制样本包括155名参与者(平均年龄 = 26.3岁[3.1];68.4%为女性)。将年龄、性别、年龄×性别和年龄²作为协变量,并使用荟萃分析合并每个样本的结果,然后通过基于基因的测试进行分析,以估计基因内标记的综合效应。我们将我们的结果与先前发现与ADHD症状有强关联的标记进行比较。GWAS及后续的荟萃分析均未产生全基因组显著结果;在rs2110267处观察到多动冲动症状的最强效应(4.62×10⁻⁷)。基于基因的测试中,对注意力不集中症状影响最强的是GPR139(6.40×10⁻⁵)。用更大样本对本研究进行复制,将增进我们对ADHD遗传病因的理解。