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首页> 外文期刊>American journal of medical genetics, Part B. Neuropsychiatric genetics: the official publication of the International Society of Psychiatric Genetics >A powerful phenotype for gene-finding studies derived from trajectory analyses of symptoms of anxiety and depression between age seven and 18
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A powerful phenotype for gene-finding studies derived from trajectory analyses of symptoms of anxiety and depression between age seven and 18

机译:通过对7岁至18岁之间焦虑和抑郁症状的轨迹分析得出的基因发现研究的强大表型

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摘要

To investigate the utility of longitudinal data in genetic analyses of symptoms of anxiety and depression, we assessed individual differences between age 7 and 18 using growth mixture models, and investigated the genetic and non-genetic factors contributing to the trajectories. Mothers of 7,706 girl and 7,418 boy twins from the Netherlands Twin Register rated the anxious depression scale (SxAnxDep) of the Child Behavior Check List (CBCL) at age 7, 10, and 12 years. Two thousand seven hundred and six girl and 1,856 boy twins completed the Youth Self Report (YSR) at age 14, 16, and 18. While individual trajectories varied considerably, these differences were largely idiosyncratic and could not be grouped into separate latent classes with class-specific average growth curves. The intercept, which reflects the individuals' baseline level of SxAnxDep across time, explained 55-58% of the total phenotypic variance. The slope factor, which captures a common average trend over time, did not explain variance in the phenotype. This finding also underlines the high level of idiosyncrasy of trajectories that lack a common longitudinal structure. The analyses of twin data showed that the random intercept factor of SxAnxDep during childhood and during adolescence is considerably more heritable than the observations at any single age, namely between 60% and 84%. One explanation is that different factors contribute to the level of symptoms of anxiety and depression at any given time point, including temporary events and emotions. When considering baseline stability, these temporary influences average out, with the result of a more reliable and more heritable phenotype. (c) 2015 Wiley Periodicals, Inc.
机译:为了研究纵向数据在焦虑和抑郁症状的遗传分析中的作用,我们使用生长混合模型评估了7岁至18岁之间的个体差异,并研究了导致运动轨迹的遗传和非遗传因素。来自荷兰双胞胎登记册的7,706名女孩和7,418名男孩双胞胎的母亲在7、10和12岁时对儿童行为检查表(CBCL)的焦虑抑郁量表(CxCL)进行了评估。 276个女孩双胞胎和1,856个男孩双胞胎在14、16和18岁时完成了“青年自我报告”(YSR)。尽管个人轨迹差异很大,但这些差异在很大程度上是特质的,无法与班级划分为单独的潜在班级特定的平均增长曲线。截距反映了个体跨时间的SxAnxDep基线水平,解释了总表型方差的55-58%。捕获随时间变化的共同平均趋势的斜率因子不能解释表型的差异。这一发现还强调了缺乏共同纵向结构的轨迹的高度特质性。对双胞胎数据的分析表明,在童年和青春期,SxAnxDep的随机截距因子比任何单个年龄的观察结果都具有更高的遗传力,即在60%至84%之间。一种解释是,在任何给定的时间点,包括临时事件和情绪,各种因素都会导致焦虑和抑郁症状的加剧。考虑基线稳定性时,这些暂时影响会平均,从而产生更可靠和更可遗传的表型。 (c)2015年威利期刊有限公司

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