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ABCD 研究中连续表型的遗传和环境变异。

Genetic and Environmental Variation in Continuous Phenotypes in the ABCD Study®.

机构信息

Department of Human and Molecular Genetics, Virginia Institute for Psychiatric and Behavioral Genetics, Virginia Commonwealth University, PO Box 980033, Richmond, VA, 23298-0033, USA.

Department of Psychiatry, Virginia Institute for Psychiatric and Behavioral Genetics, Virginia Commonwealth University, Richmond, VA, USA.

出版信息

Behav Genet. 2023 Feb;53(1):1-24. doi: 10.1007/s10519-022-10123-w. Epub 2022 Nov 10.

DOI:10.1007/s10519-022-10123-w
PMID:36357558
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9823057/
Abstract

Twin studies yield valuable insights into the sources of variation, covariation and causation in human traits. The ABCD Study® (abcdstudy.org) was designed to take advantage of four universities known for their twin research, neuroimaging, population-based sampling, and expertise in genetic epidemiology so that representative twin studies could be performed. In this paper we use the twin data to: (i) provide initial estimates of heritability for the wide range of phenotypes assessed in the ABCD Study using a consistent direct variance estimation approach, assuring that both data and methodology are sound; and (ii) provide an online resource for researchers that can serve as a reference point for future behavior genetic studies of this publicly available dataset. Data were analyzed from 772 pairs of twins aged 9-10 years at study inception, with zygosity determined using genotypic data, recruited and assessed at four twin hub sites. The online tool provides twin correlations and both standardized and unstandardized estimates of additive genetic, and environmental variation for 14,500 continuously distributed phenotypic features, including: structural and functional neuroimaging, neurocognition, personality, psychopathology, substance use propensity, physical, and environmental trait variables. The estimates were obtained using an unconstrained variance approach, so they can be incorporated directly into meta-analyses without upwardly biasing aggregate estimates. The results indicated broad consistency with prior literature where available and provided novel estimates for phenotypes without prior twin studies or those assessed at different ages. Effects of site, self-identified race/ethnicity, age and sex were statistically controlled. Results from genetic modeling of all 53,172 continuous variables, including 38,672 functional MRI variables, will be accessible via the user-friendly open-access web interface we have established, and will be updated as new data are released from the ABCD Study. This paper provides an overview of the initial results from the twin study embedded within the ABCD Study, an introduction to the primary research domains in the ABCD study and twin methodology, and an evaluation of the initial findings with a focus on data quality and suitability for future behavior genetic studies using the ABCD dataset. The broad introductory material is provided in recognition of the multidisciplinary appeal of the ABCD Study. While this paper focuses on univariate analyses, we emphasize the opportunities for multivariate, developmental and causal analyses, as well as those evaluating heterogeneity by key moderators such as sex, demographic factors and genetic background.

摘要

双生子研究为人类特征的变异、共变和因果来源提供了有价值的见解。ABCD 研究(abcdstudy.org)旨在利用四所以双胞胎研究、神经影像学、基于人群的抽样和遗传流行病学专业知识而闻名的大学的优势,以便能够进行具有代表性的双胞胎研究。在本文中,我们使用双胞胎数据:(i)使用一致的直接方差估计方法,为 ABCD 研究中评估的广泛表型提供遗传力的初始估计,以确保数据和方法都是可靠的;(ii)为研究人员提供一个在线资源,可作为未来使用此公开可用数据集进行行为遗传学研究的参考点。研究分析了 772 对在研究开始时年龄为 9-10 岁的双胞胎的数据,使用基因型数据确定了同卵双生子和异卵双生子的比例,这些双胞胎是在四个双胞胎中心招募和评估的。该在线工具提供了 14500 个连续分布的表型特征的双胞胎相关性,以及标准化和未标准化的加性遗传和环境变异估计值,包括:结构和功能神经影像学、神经认知、人格、精神病理学、物质使用倾向、身体和环境特征变量。这些估计值是使用无约束方差方法获得的,因此可以直接纳入荟萃分析,而不会使总体估计值向上偏倚。结果与现有文献广泛一致,并为没有先前双胞胎研究或在不同年龄评估的表型提供了新的估计值。对站点、自我认定的种族/民族、年龄和性别效应进行了统计学控制。通过我们建立的用户友好的开放访问网络界面,可以访问对所有 53172 个连续变量(包括 38672 个功能磁共振成像变量)进行遗传建模的结果,并且随着 ABCD 研究发布新数据,这些结果将不断更新。本文概述了嵌入在 ABCD 研究中的双胞胎研究的初步结果,介绍了 ABCD 研究的主要研究领域和双胞胎方法学,并重点评估了初始发现,关注数据质量和使用 ABCD 数据集进行未来行为遗传学研究的适用性。提供广泛的介绍性材料是为了认识到 ABCD 研究的多学科吸引力。虽然本文侧重于单变量分析,但我们强调了多变量、发展和因果分析的机会,以及通过性别、人口统计学因素和遗传背景等关键调节因素评估异质性的机会。

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