Prioritization of candidate genes for attention deficit hyperactivity disorder by computational analysis of multiple data sources

Suhua Chang1,2, Weina Zhang1,2, Lei Gao1,2, Jing Wang1()

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Protein Cell ›› 2012, Vol. 3 ›› Issue (7) : 526-534. DOI: 10.1007/s13238-012-2931-7
RESEARCH ARTICLE
RESEARCH ARTICLE

Prioritization of candidate genes for attention deficit hyperactivity disorder by computational analysis of multiple data sources

  • Suhua Chang1,2, Weina Zhang1,2, Lei Gao1,2, Jing Wang1()
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Abstract

Attention deficit hyperactivity disorder (ADHD) is a common, highly heritable psychiatric disorder characterized by hyperactivity, inattention and increased impulsivity. In recent years, a large number of genetic studies for ADHD have been published and related genetic data has been accumulated dramatically. To provide researchers a comprehensive ADHD genetic resource, we previously developed the first genetic database for ADHD (ADHDgene). The abundant genetic data provides novel candidates for further study. Meanwhile, it also brings new challenge for selecting promising candidate genes for replication and verification research. In this study, we surveyed the computational tools for candidate gene prioritization and selected five tools, which integrate multiple data sources for gene prioritization, to prioritize ADHD candidate genes in ADHDgene. The prioritization analysis resulted in 16 prioritized candidate genes, which are mainly involved in several major neurotransmitter systems or in nervous system development pathways. Among these genes, nervous system development related genes, especially SNAP25, STX1A and the gene-gene interactions related with each of them deserve further investigations. Our results may provide new insight for further verification study and facilitate the exploration of pathogenesis mechanism of ADHD.

Keywords

gene prioritization / attention deficit hyperactivity disorder / candidate genes / multiple data sources

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Suhua Chang, Weina Zhang, Lei Gao, Jing Wang. Prioritization of candidate genes for attention deficit hyperactivity disorder by computational analysis of multiple data sources. Prot Cell, 2012, 3(7): 526‒534 https://doi.org/10.1007/s13238-012-2931-7

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