Institute for Behavioral Genetics, University of Colorado Boulder.
J Psychopathol Clin Sci. 2024 Jul;133(5):347-357. doi: 10.1037/abn0000905. Epub 2024 May 9.
The internalizing construct captures shared variance underlying risk for mood and anxiety disorders. Internalizing factors based on diagnoses (or symptoms) of major depressive disorder (MDD) and generalized anxiety disorder (GAD) are well established. Studies have also integrated self-reported measures of associated traits (e.g., questionnaires assessing neuroticism, worry, and rumination) onto these factors, despite having not tested the assumption that these measures truly capture the same sets of risk factors. This study examined the overlap among both sets of measures using converging approaches. First, using genomic structural equation modeling, we constructed internalizing factors based on genome-wide association studies (GWASs) of internalizing diagnoses (e.g., MDD) and traits associated with internalizing (neuroticism, loneliness, and reverse-scored subjective well-being). Results indicated the two factors were highly ( = .79) but not perfectly genetically correlated ( < 1.0, < .001). Second, we constructed similar latent factors in a combined twin/adoption sample of adults from the Colorado Adoption/Twin Study of Lifespan Behavioral Development and Cognitive Aging. Again, both factors demonstrated strong overlap at the level of genetic ( = .76, 95% confidence interval [CI] [0.40, 0.97]) and nonshared environmental influences ( = .80, 95% CI [0.53, 1.0]). Shared environmental influences were estimated near zero for both factors. Our findings are consistent with current frameworks of psychopathology, though they suggest there are some unique genetic influences captured by internalizing diagnosis compared to trait measures, with potentially more nonadditive genetic influences on trait measures. (PsycInfo Database Record (c) 2024 APA, all rights reserved).
内化结构捕捉到了心境和焦虑障碍风险的共同差异。基于重度抑郁症(MDD)和广泛性焦虑障碍(GAD)的诊断(或症状)的内化因素已经得到充分证实。尽管这些测量方法并未检验其是否真正捕捉到了相同的风险因素,但研究也将与这些因素相关的特质(如评估神经质、担忧和反刍的问卷)纳入了这些因素。本研究使用收敛方法检验了这两套测量方法的重叠情况。首先,我们使用基因组结构方程模型,根据内化诊断(如 MDD)和与内化相关的特质(神经质、孤独和反向主观幸福感)的全基因组关联研究(GWAS)构建了内化因素。结果表明,这两个因素具有高度( =.79)但并非完全遗传相关( < 1.0, <.001)。其次,我们在科罗拉多州生活行为发展和认知老化的收养/双胞胎研究的成年双胞胎/收养样本中构建了类似的潜在因素。同样,这两个因素在遗传( =.76,95%置信区间 [CI] [0.40,0.97])和非共享环境影响( =.80,95% CI [0.53,1.0])水平上都有很强的重叠。两个因素的共享环境影响估计接近零。我们的研究结果与当前的精神病理学框架一致,但它们表明,与特质测量相比,内化诊断可以捕捉到一些独特的遗传影响,特质测量的非加性遗传影响可能更大。(PsycInfo 数据库记录(c)2024 APA,保留所有权利)。