Sokolowski Marcus, Wasserman Jerzy, Wasserman Danuta
National Centre for Suicide Research and Prevention of Mental Ill-Health (NASP), Karolinska Institute (KI), Stockholm, Sweden.
WHO collaborating Centre for research, methods, development and training in suicide prevention, NASP, KI, Stockholm, Sweden.
PLoS One. 2016 Dec 28;11(12):e0168531. doi: 10.1371/journal.pone.0168531. eCollection 2016.
Suicidal behavior (SB) has a complex etiology involving genes and environment. One of the genetic components in SB could be copy number variations (CNVs), as CNVs are implicated in neurodevelopmental disorders. However, a recently published genome-wide and case-control study did not observe any significant role of CNVs in SB. Here we complemented these initial observations by instead using a family-based trio-sample that is robust to control biases, having severe suicide attempt (SA) in offspring as main outcome (n = 660 trios). We first tested for CNV associations on the genome-wide Illumina 1M SNP-array by using FBAT-CNV methodology, which allows for evaluating CNVs without reliance on CNV calling algorithms, analogous to a common SNP-based GWAS. We observed association of certain T-cell receptor markers, but this likely reflected inter-individual variation in somatic rearrangements rather than association with SA outcome. Next, we used the PennCNV software to call 385 putative rare (<1%) and large (>100 kb) CNVs, observed in n = 225 SA offspring. Nine SA offspring had rare CNV calls in a set of previously schizophrenia-associated loci, indicating the importance of such CNVs in certain SA subjects. Several additional, very large (>1MB) sized CNV calls in 15 other SA offspring also spanned pathogenic regions or other neural genes of interest. Overall, 45 SA had CNVs enriched for 65 medically relevant genes previously shown to be affected by CNVs, which were characterized by a neurodevelopmental biology. A neurodevelopmental implication was partly congruent with our previous SNP-based GWAS, but follow-up analysis here indicated that carriers of rare CNVs had a decreased burden of common SNP risk-alleles compared to non-carriers. In conclusion, while CNVs did not show genome-wide association by the FBAT-CNV methodology, our preliminary observations indicate rare pathogenic CNVs affecting neurodevelopmental functions in a subset of SA, who were distinct from SA having increased SNP risk-allele burden. These observations may open up new avenues in the genetic etiology of SB.
自杀行为(SB)具有涉及基因和环境的复杂病因。SB中的遗传成分之一可能是拷贝数变异(CNV),因为CNV与神经发育障碍有关。然而,最近发表的一项全基因组病例对照研究未观察到CNV在SB中有任何显著作用。在此,我们通过使用基于家系的三联样本对这些初步观察结果进行补充,该样本对控制偏差具有稳健性,以子代中有严重自杀未遂(SA)作为主要结局(n = 660个三联体)。我们首先使用FBAT-CNV方法在全基因组Illumina 1M SNP阵列上测试CNV关联,该方法允许在不依赖CNV调用算法的情况下评估CNV,类似于基于常见SNP的全基因组关联研究(GWAS)。我们观察到某些T细胞受体标记物的关联,但这可能反映了体细胞重排中的个体间变异,而非与SA结局的关联。接下来我们使用PennCNV软件在n = 225例SA子代中鉴定出385个假定罕见(<1%)且大(>100 kb)的CNV。9例SA子代在一组先前与精神分裂症相关的基因座中有罕见的CNV鉴定结果表明此类CNV在某些SA个体中的重要性。另外15例SA子代中的几个非常大(>1MB)的CNV鉴定结果也跨越了致病区域或其他感兴趣的神经基因。总体而言,45例SA患者的CNV富集了65个先前已证明受CNV影响的医学相关基因,这些基因具有神经发育生物学特征。神经发育方面的影响部分与我们之前基于SNP的GWAS一致,但此处的后续分析表明,与非携带者相比,罕见CNV携带者的常见SNP风险等位基因负担降低。总之,虽然通过FBAT-CNV方法CNV未显示全基因组关联,但我们的初步观察表明,罕见的致病CNV会影响一部分SA患者的神经发育功能,这些患者与具有增加的SNP风险等位基因负担的SA患者不同。这些观察结果可能为SB的遗传病因学开辟新途径。