iPSYCH, The Lundbeck Foundation Initiative for Integrated Psychiatric Research, Denmark.
National Centre for Register-based Research, Department of Economics and Business Economics, Aarhus University, Aarhus, Denmark.
JAMA Psychiatry. 2019 May 1;76(5):516-525. doi: 10.1001/jamapsychiatry.2018.4166.
Although the usefulness of polygenic risk scores as a measure of genetic liability for major depression (MD) has been established, their association with depression in the general population remains relatively unexplored.
To evaluate whether polygenic risk scores for MD, bipolar disorder (BD), and schizophrenia (SZ) are associated with depression in the general population and explore whether these polygenic liabilities are associated with heterogeneity in terms of age at onset and severity at the initial depression diagnosis.
DESIGN, SETTING, AND PARTICIPANTS: Participants were drawn from the Danish iPSYCH2012 case-cohort study, a representative sample drawn from the population of Denmark born between May 1, 1981, and December 31, 2005. The hazard of depression was estimated using Cox regressions modified to accommodate the case-cohort design. Case-only analyses were conducted using linear and multinomial regressions. The data analysis was conducted from February 2017 to June 2018.
Polygenic risk scores for MD, BD, and SZ trained using the most recent genome-wide association study results from the Psychiatric Genomics Consortium.
The main outcome was first depressive episode (International Statistical Classification of Diseases and Related Health Problems, Tenth Revision [ICD-10] code F32) treated in hospital-based psychiatric care. Severity at the initial diagnosis was measured using the ICD-10 code severity specifications (mild, moderate, severe without psychosis, and severe with psychosis) and treatment setting (inpatient, outpatient, and emergency).
Of 34 573 participants aged 10 to 31 years at censoring, 68% of those with depression were female compared with 48.9% of participants without depression. Each SD increase in polygenic liability for MD, BD, and SZ was associated with 30% (hazard ratio [HR], 1.30; 95% CI, 1.27-1.33), 5% (HR, 1.05; 95% CI, 1.02-1.07), and 12% (HR, 1.12; 95% CI, 1.09-1.15) increases in the hazard of depression, respectively. Among cases, a higher polygenic liability for BD was associated with earlier depression onset (β = -.07; SE = .02; P = .002).
Polygenic liability for MD is associated with first depression in the general population, which supports the idea that these scores tap into an underlying liability for developing the disorder. The fact that polygenic risk for BD and polygenic risk for SZ also were associated with depression is consistent with prior evidence that these disorders share some common genetic overlap. Variations in polygenic liability may contribute slightly to heterogeneity in clinical presentation, but these associations appear minimal.
尽管多基因风险评分作为衡量重度抑郁症(MD)遗传易感性的一种方法已经得到了证实,但它们与普通人群中抑郁症的相关性仍相对未知。
评估 MD、双相情感障碍(BD)和精神分裂症(SZ)的多基因风险评分是否与普通人群中的抑郁症相关,并探讨这些多基因风险是否与发病年龄和首发抑郁诊断严重程度的异质性相关。
设计、地点和参与者:参与者来自丹麦 iPSYCH2012 病例-队列研究,该研究是从 1981 年 5 月 1 日至 2005 年 12 月 31 日期间出生在丹麦的人群中抽取的代表性样本。使用 Cox 回归模型对抑郁风险进行估计,该模型经过修改以适应病例-队列设计。仅使用线性和多项式回归进行病例分析。数据分析于 2017 年 2 月至 2018 年 6 月进行。
使用精神病学基因组学联合会最新全基因组关联研究结果训练的 MD、BD 和 SZ 的多基因风险评分。
主要结局为首次在医院精神科接受治疗的抑郁发作(国际疾病分类第 10 版[ICD-10]编码 F32)。首发诊断的严重程度使用 ICD-10 编码严重程度规范(轻度、中度、无精神病性的重度和有精神病性的重度)和治疗环境(住院、门诊和急诊)进行测量。
在 34573 名 10 至 31 岁的被跟踪参与者中,68%的抑郁症患者为女性,而未患抑郁症的参与者中这一比例为 48.9%。MD、BD 和 SZ 的多基因风险评分每增加一个标准差,患抑郁症的风险分别增加 30%(风险比[HR],1.30;95%CI,1.27-1.33)、5%(HR,1.05;95%CI,1.02-1.07)和 12%(HR,1.12;95%CI,1.09-1.15)。在病例中,BD 的多基因风险较高与抑郁发作的时间更早有关(β=-.07;SE=.02;P=.002)。
MD 的多基因风险与普通人群中的首发抑郁症相关,这支持了这些评分反映了发病的潜在风险这一观点。BD 和 SZ 的多基因风险也与抑郁症相关,这与先前的证据一致,即这些疾病具有一些共同的遗传重叠。多基因风险的变化可能略微导致临床表现的异质性,但这些关联似乎很小。