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Genome-Wide Analysis Reveals Four Novel Loci for Attention-Deficit Hyperactivity Disorder in Korean Youths

  • Kweon, Kukju (Department of Psychiatry, University of Ulsan College of Medicine, Ulsan University Hospital) ;
  • Shin, Eun-Soon (DNA Link, Inc. Bioinformatics) ;
  • Park, Kee Jeong (Department of Psychiatry, University of Ulsan College of Medicine, Asan Medical Center) ;
  • Lee, Jong-Keuk (Asan Institute for Life Sciences, University of Ulsan College of Medicine) ;
  • Joo, Yeonho (Department of Psychiatry, University of Ulsan College of Medicine, Asan Medical Center) ;
  • Kim, Hyo-Won (Department of Psychiatry, University of Ulsan College of Medicine, Asan Medical Center)
  • Received : 2017.11.06
  • Accepted : 2018.01.10
  • Published : 2018.04.01

Abstract

Objectives: The molecular mechanisms underlying attention-deficit hyperactivity disorder (ADHD) remain unclear. Therefore, this study aimed to identify the genetic susceptibility loci for ADHD in Korean children with ADHD. We performed a case-control and a family-based genome-wide association study (GWAS), as well as genome-wide quantitative trait locus (QTL) analyses, for two symptom traits. Methods: A total of 135 subjects (71 cases and 64 controls), for the case-control analysis, and 54 subjects (27 probands and 27 unaffected siblings), for the family-based analysis, were included. Results: The genome-wide QTL analysis identified four single nucleotide polymorphisms (SNPs) (rs7684645 near APELA, rs12538843 near YAE1D1 and POU6F2, rs11074258 near MCTP2, and rs34396552 near CIDEA) that were significantly associated with the number of inattention symptoms in ADHD. These SNPs showed possible association with ADHD in the family-based GWAS, and with hyperactivity-impulsivity in genome-wide QTL analyses. Moreover, association signals in the family-based QTL analysis for the number of inattention symptoms were clustered near genes IL10, IL19, SCL5A9, and SKINTL. Conclusion: We have identified four QTLs with genome-wide significance and several promising candidates that could potentially be associated with ADHD (CXCR4, UPF1, SETD5, NALCN-AS1, ERC1, SOX2-OT, FGFR2, ANO4, and TBL1XR1). Further replication studies with larger sample sizes are needed.

Keywords

References

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