Daniel E Gustavson, Elisa F Stern, Chandra A Reynolds, Andrew D Grotzinger, Robin P Corley, Sally J Wadsworth, Soo H Rhee, Naomi P Friedman
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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 (<i>r</i><sub>g</sub> = .79) but not perfectly genetically correlated (<i>r</i><sub>g</sub> < 1.0, <i>p</i> < .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 (<i>r</i><sub>g</sub> = .76, 95% confidence interval [CI] [0.40, 0.97]) and nonshared environmental influences (<i>r</i><sub>e</sub> = .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).</p>","PeriodicalId":73914,"journal":{"name":"Journal of psychopathology and clinical science","volume":" ","pages":"347-357"},"PeriodicalIF":3.1000,"publicationDate":"2024-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11232111/pdf/","citationCount":"0","resultStr":"{\"title\":\"Evidence for strong genetic correlations among internalizing psychopathology and related self-reported measures using both genomic and twin/adoptive approaches.\",\"authors\":\"Daniel E Gustavson, Elisa F Stern, Chandra A Reynolds, Andrew D Grotzinger, Robin P Corley, Sally J Wadsworth, Soo H Rhee, Naomi P Friedman\",\"doi\":\"10.1037/abn0000905\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>The internalizing construct captures shared variance underlying risk for mood and anxiety disorders. 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引用次数: 0
摘要
内化结构捕捉到了情绪障碍和焦虑症潜在风险的共同变异。基于重度抑郁障碍(MDD)和广泛性焦虑障碍(GAD)诊断(或症状)的内化因素已得到广泛认可。研究还将相关特质的自我报告测量(如评估神经质、忧虑和反刍的问卷)整合到这些因素中,尽管没有检验这些测量是否真正捕捉到了同一组风险因素。本研究采用趋同的方法检验了这两套测量方法之间的重叠性。首先,我们使用基因组结构方程模型,根据内化诊断(如 MDD)的全基因组关联研究(GWAS)和与内化相关的特质(神经质、孤独感和反向评分的主观幸福感)构建了内化因子。结果表明,这两个因子高度相关(rg = .79),但并非完全遗传相关(rg < 1.0,p < .001)。其次,我们在 "科罗拉多领养/双胞胎终生行为发展和认知老化研究"(Colorado Adoption/Twin Study of Lifespan Behavioral Development and Cognitive Aging)的成人双胞胎/领养联合样本中构建了类似的潜在因子。同样,这两个因子在遗传(rg = .76,95% 置信区间 [CI] [0.40,0.97])和非共享环境影响(re = .80,95% CI [0.53,1.0])水平上都表现出很强的重叠性。对这两个因素的共同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相一致,但研究结果表明,与特质测量相比,内化诊断捕捉到了一些独特的遗传影响,而特质测量可能会受到更多的非加性遗传影响。(PsycInfo Database Record (c) 2024 APA, 版权所有)。
Evidence for strong genetic correlations among internalizing psychopathology and related self-reported measures using both genomic and twin/adoptive approaches.
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 (rg = .79) but not perfectly genetically correlated (rg < 1.0, p < .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 (rg = .76, 95% confidence interval [CI] [0.40, 0.97]) and nonshared environmental influences (re = .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).