Peterson Roseann E, Cai Na, Bigdeli Tim B, Li Yihan, Reimers Mark, Nikulova Anna, Webb Bradley T, Bacanu Silviu-Alin, Riley Brien P, Flint Jonathan, Kendler Kenneth S
Virginia Institute for Psychiatric and Behavioral Genetics, Department of Psychiatry, Virginia Commonwealth University, Richmond.
Wellcome Trust Sanger Institute, Hinxton, United Kingdom3European Bioinformatics Institute, Hinxton, United Kingdom.
JAMA Psychiatry. 2017 Feb 1;74(2):162-168. doi: 10.1001/jamapsychiatry.2016.3578.
Despite the moderate, well-demonstrated heritability of major depressive disorder (MDD), there has been limited success in identifying replicable genetic risk loci, suggesting a complex genetic architecture. Research is needed to quantify the relative contribution of classes of genetic variation across the genome to inform future genetic studies of MDD.
To apply aggregate genetic risk methods to clarify the genetic architecture of MDD by estimating and partitioning heritability by chromosome, minor allele frequency, and functional annotations and to test for enrichment of rare deleterious variants.
DESIGN, SETTING, AND PARTICIPANTS: The CONVERGE (China, Oxford, and Virginia Commonwealth University Experimental Research on Genetic Epidemiology) study collected data on 5278 patients with recurrent MDD from 58 provincial mental health centers and psychiatric departments of general medical hospitals in 45 cities and 23 provinces of China. Screened controls (n = 5196) were recruited from a range of locations, including general hospitals and local community centers. Data were collected from August 1, 2008, to October 31, 2012.
Genetic risk for liability to recurrent MDD was partitioned using sparse whole-genome sequencing.
In aggregate, common single-nucleotide polymorphisms (SNPs) explained between 20% and 29% of the variance in MDD risk, and the heritability in MDD explained by each chromosome was proportional to its length (r = 0.680; P = .0003), supporting a common polygenic etiology. Partitioning heritability by minor allele frequency indicated that the variance explained was distributed across the allelic frequency spectrum, although relatively common SNPs accounted for a disproportionate fraction of risk. Partitioning by genic annotation indicated a greater contribution of SNPs in protein-coding regions and within 3'-UTR regions of genes. Enrichment of SNPs associated with DNase I-hypersensitive sites was also found in many tissue types, including brain tissue. Examining burden scores from singleton exonic SNPs predicted to be deleterious indicated that cases had significantly more mutations than controls (odds ratio, 1.009; 95% CI, 1.003-1.014; P = .003), including those occurring in genes expressed in the brain (odds ratio, 1.011; 95% CI, 1.003-1.018; P = .004) and within nuclear-encoded genes with mitochondrial gene products (odds ratio, 1.075; 95% CI, 1.018-1.135; P = .009).
Results support a complex etiology for MDD and highlight the value of analyzing components of heritability to clarify genetic architecture.
尽管重度抑郁症(MDD)具有适度且已得到充分证实的遗传力,但在识别可重复的遗传风险位点方面取得的成功有限,这表明其遗传结构复杂。需要开展研究来量化全基因组各类遗传变异的相对贡献,以为未来的MDD基因研究提供信息。
应用聚合遗传风险方法,通过按染色体、次要等位基因频率和功能注释估计并划分遗传力,来阐明MDD的遗传结构,并检验罕见有害变异的富集情况。
设计、设置和参与者:CONVERGE(中国、牛津和弗吉尼亚联邦大学遗传流行病学实验研究)研究收集了来自中国23个省份45个城市的58家省级精神卫生中心和综合医院精神科的5278例复发性MDD患者的数据。筛选出的对照(n = 5196)来自一系列场所,包括综合医院和当地社区中心。数据收集时间为2008年8月1日至2012年10月31日。
使用稀疏全基因组测序对复发性MDD易感性的遗传风险进行划分。
总体而言,常见单核苷酸多态性(SNP)解释了MDD风险中20%至29%的变异,每条染色体解释的MDD遗传力与其长度成正比(r = 0.680;P = 0.0003),支持常见的多基因病因。按次要等位基因频率划分遗传力表明,所解释的变异分布在等位基因频率谱中,尽管相对常见的SNP占风险的比例过高。按基因注释划分表明,SNP在蛋白质编码区和基因的3'非翻译区内的贡献更大。在包括脑组织在内的许多组织类型中也发现了与DNase I超敏位点相关的SNP的富集。检查预测为有害的单例外显子SNP的负担评分表明,病例的突变明显多于对照(优势比,1.009;95%CI,1.003 - 1.014;P = 0.003),包括那些发生在大脑中表达基因中的突变(优势比,1.011;95%CI,1.003 - 1.018;P = 0.004)以及在线粒体基因产物的核编码基因内的突变(优势比,1.075;95%CI,1.018 - 1.135;P = 0.009)。
结果支持MDD的复杂病因,并突出了分析遗传力成分以阐明遗传结构的价值。