Lew Alexandra R, Kellermayer Timot R, Sule Balint P, Szigeti Kinga
Department of Neurology, University at Buffalo, SUNY, Buffalo, NY14203, USA.
Curr Genomics. 2018 Sep;19(6):420-430. doi: 10.2174/1389202919666180330153842.
Adult-onset neuropsychiatric diseases are one of the most challenging areas of medicine. While symptomatic treatments are available, for most of these diseases the exact pathomechanism is not known, thus, disease-modifying therapies are difficult to conceptualize and find. The two most common and best studied neuropsychiatric diseases affecting higher cortical functions in humans are schizophrenia and Alzheimer's disease; both diseases have high heritability, however, the genetic architecture is not fully elucidated. Robust Single Nucleotide Variant (SNV) studies have identified several loci with modest effect sizes. While Copy Number Variants (CNV) make an important contribution to genetic variation, CNV GWAS suffer from dependence on mainly SNP arrays with underperforming genotyping accuracy. We evaluated dynamic range of the assays for three types of CNV loci, including biallelic deletion, high copy gain, and fusion gene, to assess the depth of exploration of the contribution of CNVs to disease susceptibility. Despite the suboptimal genotyping, novel mechanisms are emerging and further large-scale studies with genotyping assays optimized for CNV detection are needed. Furthermore, the CHRFAM7A human-specific fusion gene association warrants large scale locus specific association studies in AD, schizophrenia, bipolar disorder and ADHD.
成人起病的神经精神疾病是医学领域中最具挑战性的领域之一。虽然有对症治疗方法,但对于大多数此类疾病而言,确切的发病机制尚不清楚,因此,难以构思和找到疾病修饰疗法。影响人类高级皮质功能的两种最常见且研究最多的神经精神疾病是精神分裂症和阿尔茨海默病;这两种疾病都具有高遗传性,然而,其遗传结构尚未完全阐明。强有力的单核苷酸变异(SNV)研究已经确定了几个效应大小适中的基因座。虽然拷贝数变异(CNV)对遗传变异有重要贡献,但CNV全基因组关联研究(GWAS)主要依赖于基因分型准确性欠佳的单核苷酸多态性(SNP)阵列。我们评估了三种类型CNV基因座检测的动态范围,包括双等位基因缺失、高拷贝增益和融合基因,以评估对CNV对疾病易感性贡献的探索深度。尽管基因分型不够理想,但新的机制正在出现,需要进一步开展针对CNV检测进行优化的基因分型检测的大规模研究。此外,CHRFAM7A人类特异性融合基因关联值得在阿尔茨海默病、精神分裂症、双相情感障碍和注意力缺陷多动障碍中开展大规模的基因座特异性关联研究。