自闭症的遗传异质性轴以诊断年龄为指标,并与不同的发育和心理健康特征相关联

Xinhe Zhang, Jakob Grove, Yuanjun Gu, Cornelia K Buus, Lea K Nielsen, Sharon A.S. Neufeld, Mahmoud Koko, Daniel S Malawsky, Emma Wade, Ellen Verhoef, Anna Gui, Laura Hegemann, APEX consortium, iPSYCH Autism Consortium, PGC-PTSD Consortium, Daniel H Geschwind, Naomi Wray, Alexandra Havdahl, Angelica Ronald, Beate St Pourcain, Elise B Robinson, Thomas Bourgeron, Simon Baron-Cohen, Anders D Borglum, Hilary C Martin, Varun Warrier
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摘要

越来越多的人认识到,自闭症的最早征兆并不一定要在出生后的头三年才明显表现出来。这种发育轨迹的变化在多大程度上与自闭症诊断年龄有关?自闭症的遗传特征是否随自闭症诊断年龄而变化?利用四个出生队列的纵向数据,我们证明了两种不同的社会情感行为轨迹与诊断年龄相关。我们进一步证明,自闭症诊断年龄具有部分遗传性(h2SNP = 0.12,s.e.m = 0.01),并与两个中度相关(rg = 0.38,s.e.m = 0.07)的自闭症多基因因素有关。其中一个因素与自闭症诊断较早、幼儿期社交和沟通能力较低有关。第二个因素与自闭症诊断较晚、青春期社会情感障碍增加有关,并与注意力缺陷/多动障碍、精神健康状况和创伤有中度到高度的正遗传相关性。总之,我们的研究确定了自闭症的异质性轴心,以诊断年龄为指标,部分解释了自闭症的异质性以及共存的神经发育和心理健康特征。我们的研究结果对我们如何将自闭症概念化具有重要意义,并为解释自闭症的某些多样性提供了一个模型。
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An axis of genetic heterogeneity in autism is indexed by age at diagnosis and is associated with varying developmental and mental health profiles
There is growing recognition that earliest signs of autism need not clearly manifest in the first three years of life. To what extent is this variation in developmental trajectories associated with age at autism diagnosis? Does the genetic profile of autism vary with age at autism diagnosis? Using longitudinal data from four birth cohorts, we demonstrate that two different trajectories of socio-emotional behaviours are associated with age at diagnosis. We further demonstrate that the age at autism diagnosis is partly heritable (h2SNP = 0.12, s.e.m = 0.01), and is associated with two moderately correlated (rg = 0.38, s.e.m = 0.07) autism polygenic factors. One of these factors is associated with earlier diagnosis of autism, lower social and communication abilities in early childhood. The second factor is associated with later autism diagnosis, increased socio-emotional difficulties in adolescence, and has moderate to high positive genetic correlations with Attention-Deficit/Hyperactivity Disorder, mental health conditions, and trauma. Overall, our research identifies an axis of heterogeneity in autism, indexed by age at diagnosis, which partly explains heterogeneity in autism and the profiles of co-occurring neurodevelopmental and mental health profiles. Our findings have important implications for how we conceptualise autism and provide one model to explain some of the diversity within autism.
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