Amsterdam UMC, Vrije Universiteit Amsterdam, Department of Psychiatry, Amsterdam Public Health Research Insitute, the Netherlands.
Amsterdam UMC, Vrije Universiteit Amsterdam, Department of Psychiatry, Amsterdam Public Health Research Insitute, the Netherlands.
Psychoneuroendocrinology. 2019 Apr;102:121-127. doi: 10.1016/j.psyneuen.2018.11.029. Epub 2018 Nov 22.
While there is robust evidence for a cross-sectional association between depression and shorter telomere length, suggestive of advanced biological aging, the nature of this association remains unclear. Here, we tested whether both traits share a common genetic liability with novel methods using genomics.
Data were from 2032 participants of the Netherlands Study of Depression and Anxiety (NESDA) with genome-wide genetic information and multiple waves of data on DSM-IV lifetime depression diagnosis, depression severity, neuroticism and telomere length. Polygenic risk scores (PRS) for both traits were built using summary results from the largest genome-wide association studies (GWAS) on depression (59,851 cases and 113,154 controls) and telomere length (37,684 samples). Additionally, a PRS for neuroticism was built (337,000 samples). Genetic overlap between the traits was tested using PRS for same- and cross-trait associations. Furthermore, GWAS summary statistics were used to estimate the genome-wide genetic correlation between traits.
In NESDA data, the PRS for depression was associated with lifetime depression (odds ratio = 1.36; p = 6.49e-7) and depression severity level (β = 0.13; p = 1.24e-8), but not with telomere length. Similar results were found for the PRS for neuroticism. Conversely, the PRS for telomere length was associated with telomere length (β = 0.07; p = 8.42e-4) and 6-year telomere length attrition rate (β = 0.04; p = 2.15e-2), but not with depression variables. In summary-level analyses, the genetic correlation between the traits was small and not significant (rg=-0.08; p = .300).
The use of genetic methods in this paper indicated that the established phenotypic association between telomere length and depression is unlikely due to shared underlying genetic vulnerability. Our findings suggest that short telomeres in depressed patients may simply represent a generic marker of disease or may originate from non-genetic environmental factors.
尽管有大量证据表明抑郁与端粒缩短之间存在横断面关联,提示存在生物衰老加速,但这种关联的性质尚不清楚。在这里,我们使用基因组学的新方法来测试这两个特征是否具有共同的遗传易感性。
数据来自荷兰抑郁和焦虑研究(NESDA)的 2032 名参与者,他们具有全基因组遗传信息和多波 DSM-IV 终生抑郁诊断、抑郁严重程度、神经质和端粒长度数据。使用最大的全基因组关联研究(GWAS)关于抑郁(59851 例病例和 113154 例对照)和端粒长度(37684 个样本)的汇总结果,构建了这两个特征的多基因风险评分(PRS)。此外,还构建了神经质的 PRS(337000 个样本)。使用相同和跨特征关联的 PRS 测试特征之间的遗传重叠。此外,还使用 GWAS 汇总统计数据估计了特征之间的全基因组遗传相关性。
在 NESDA 数据中,抑郁的 PRS 与终生抑郁(优势比=1.36;p=6.49e-7)和抑郁严重程度水平(β=0.13;p=1.24e-8)相关,但与端粒长度无关。神经质的 PRS 也得到了类似的结果。相反,端粒长度的 PRS 与端粒长度(β=0.07;p=8.42e-4)和 6 年端粒长度衰减率(β=0.04;p=2.15e-2)相关,但与抑郁变量无关。在汇总水平分析中,特征之间的遗传相关性很小且不显著(rg=-0.08;p=0.300)。
本文使用遗传方法表明,端粒长度与抑郁之间已建立的表型关联不太可能是由于共同的潜在遗传脆弱性所致。我们的研究结果表明,抑郁患者的短端粒可能只是疾病的通用标志物,或者可能源于非遗传环境因素。