Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK.
Curr Top Behav Neurosci. 2021;48:41-60. doi: 10.1007/7854_2020_153.
Bipolar disorder (BP) is a highly heritable disease, with heritability estimated between 60 and 85% by twin studies. The underlying genetic architecture was poorly understood for years since the available technology was limited to the candidate gene approach that did not allow to explore the contribution of multiple loci throughout the genome. BP is a complex disorder, which pathogenesis is influenced by a number of genetic variants, each with small effect size, and environmental exposures. Genome-wide association studies (GWAS) provided meaningful insights into the genetics of BP, including replicated genetic variants, and allowed the development of novel multi-marker methods for gene/pathway analysis and for estimating the genetic overlap between BP and other traits. However, the existing GWAS had also relevant limitations. Notably insufficient statistical power and lack of consideration of rare variants, which may be responsible for the relatively low heritability explained (~20% in the largest GWAS) compared to twin studies. The availability of data from large biobanks and automated phenotyping from electronic health records or digital phenotyping represent key steps for providing samples with adequate power for genetic analysis. Next-generation sequencing is becoming more and more feasible in terms of costs, leading to the rapid growth in the number of samples with whole-genome or whole-exome sequence data. These recent and unprecedented resources are of key importance for a more comprehensive understanding of the specific genetic factors involved in BP and their mechanistic action in determining disease onset and prognosis.
双相情感障碍 (BP) 是一种高度遗传性疾病,通过双胞胎研究估计其遗传率在 60%至 85%之间。由于可用的技术仅限于候选基因方法,无法探索整个基因组中多个基因座的贡献,因此多年来人们对其潜在的遗传结构知之甚少。BP 是一种复杂的疾病,其发病机制受到许多遗传变异的影响,每个变异的影响都很小,还受到环境暴露的影响。全基因组关联研究 (GWAS) 为 BP 的遗传学提供了有意义的见解,包括已复制的遗传变异,并允许开发新的多标记方法用于基因/途径分析,并估计 BP 与其他特征之间的遗传重叠。然而,现有的 GWAS 也存在一些相关的局限性。特别是统计能力不足,以及缺乏对罕见变异的考虑,这可能是导致与双胞胎研究相比,遗传率解释相对较低(最大 GWAS 中约为 20%)的原因。大型生物库的数据可用性以及电子健康记录或数字表型的自动表型分析代表了为遗传分析提供足够样本的关键步骤。从成本角度来看,下一代测序变得越来越可行,导致具有全基因组或全外显子组序列数据的样本数量迅速增长。这些最近的、前所未有的资源对于更全面地了解 BP 中涉及的特定遗传因素及其在确定疾病发作和预后方面的机制作用至关重要。