Department of Psychiatry and Psychotherapy, Semmelweis University, Hungary.
Neurosci Biobehav Rev. 2013 Dec;37(10 Pt 1):2424-37. doi: 10.1016/j.neubiorev.2013.04.010. Epub 2013 Apr 26.
Genetic research targeting schizophrenia has undergone tremendous development during recent years. Supported by recently developed high-throughput genotyping technologies, both rare and common genetic variants have been identified that show consistent association with schizophrenia. These results have been replicated by independent studies and refined in meta-analyses. The genetic variation uncovered consists of common alleles, i.e. single nucleotide polymorphisms (SNPs) conveying small effects (odds ratios below 1.1) on disease risk. The source of rare variants is copy number variations (CNVs), only detectable in a small proportion of patients (3-5% for all known CNVs) with schizophrenia, furthermore extremely rare de novo mutations captured by next generation sequencing, the most recent technological advancement in the field. Despite these findings, the search for the genetic architecture underlying schizophrenia continues since these variants explain only a small proportion of the overall phenotypic variance. Gene-environment interactions provide a compelling model for resolving this paradox and interpreting the risk factors of schizophrenia. Epidemiologically proven risk factors, such as prenatal infection, obstetric complications, urbanicity, cannabis, and trauma have been demonstrated to interact with genetic risk, giving rise to higher prevalence rates or more severe symptomatology in individuals with direct or indirect genetic predisposition for schizophrenia. Further research will have to explain how the different forms of genetic variation interact and how environmental factors modulate their effects. Moreover, the challenging question lying ahead of us is how genetic and environmental factors translate to molecular disease pathways. New approaches, including animal studies and in vitro disease modeling, as well as innovative real-world environment assessment methods, will help to understand the complex etiology of schizophrenia.
近年来,针对精神分裂症的遗传研究取得了巨大进展。在最近开发的高通量基因分型技术的支持下,已经确定了罕见和常见的遗传变异与精神分裂症具有一致的相关性。这些结果已经被独立的研究复制,并在荟萃分析中得到了进一步的细化。所发现的遗传变异包括常见的等位基因,即单核苷酸多态性(SNPs),它们对疾病风险的影响较小(比值比低于 1.1)。罕见变异的来源是拷贝数变异(CNVs),只有一小部分精神分裂症患者(所有已知 CNVs 的 3-5%)可检测到,此外还可以通过下一代测序捕获极其罕见的新生突变,这是该领域最近的技术进步。尽管有这些发现,但寻找精神分裂症遗传结构的研究仍在继续,因为这些变异仅解释了总体表型变异的一小部分。基因-环境相互作用为解决这一悖论和解释精神分裂症的风险因素提供了一个引人注目的模型。已证明流行病学上的风险因素,如产前感染、产科并发症、城市化、大麻和创伤,与遗传风险相互作用,导致具有直接或间接精神分裂症遗传易感性的个体的患病率更高或症状更严重。进一步的研究将不得不解释不同形式的遗传变异如何相互作用以及环境因素如何调节它们的作用。此外,摆在我们面前的具有挑战性的问题是遗传和环境因素如何转化为分子疾病途径。新的方法,包括动物研究和体外疾病建模,以及创新的真实环境评估方法,将有助于理解精神分裂症的复杂病因。