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

Author:

Maes Hermine H. M.ORCID,Lapato Dana M.,Schmitt J. Eric,Luciana Monica,Banich Marie T.,Bjork James M.,Hewitt John K.,Madden Pamela A.,Heath Andrew C.,Barch Deanna M.,Thompson Wes K.,Iacono William G.,Neale Michael C.

Abstract

AbstractTwin 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.

Funder

National Institute on Drug Abuse

Publisher

Springer Science and Business Media LLC

Subject

Genetics (clinical),Genetics,Ecology, Evolution, Behavior and Systematics

Reference100 articles.

1. Achenbach TM, Edelbrock CS (1981) Behavioral problems and competencies re­ported by parents of normal and disturbed children aged four through sixteen. Monogr Soc Res Child Dev 46(1):1–82

2. Achenbach TM, Edelbrock CS (1983) Manual for the Child Behavior Checklist and Revised Child Behavior Profile. Psychiatry, Univ. Vermont, Dep

3. Achenbach TM, McConaughy SH, Ivanova MY, Rescorla LA (2011. Manuel for the ASEBA Brief Problem Monitor. Research Center for Children, Youth, and Families, University of Vermont.

4. Acker W, Acker W (1982) Bexley Maudsley Automated Processing Screening and Bexley Maudsley Category Sorting Test Manual. NFER-Nelson Publishing, Windsor

5. Alexander-Bloch AF, Raznahan A, Vandekar SN, Seidlitz J, Lu Z, Mathias SR, Knowles E, Mollon J, Rodrigue A, Curran JE, Gorring HHH, Satterthwaite TD, Gur RE, Bassett DS, Hoftman GD, Pearlson G, Shinohara RT, Liu S, Fox PT, Almasy L, Blangero J, Glahn DC (2020) Imaging local genetic influences on cortical folding. Proc Natl Acad Sci USA 117(13):7430–7436. https://doi.org/10.1073/pnas.1912064117

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3