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Maes HHM, Lapato DM, Schmitt JE, Luciana M, Banich MT, Bjork JM, Hewitt JK, Madden PA, Heath AC, Barch DM, Thompson WK, Iacono WG, Neale MC. Genetic and Environmental Variation in Continuous Phenotypes in the ABCD Study®. Behav Genet 2023; 53:1-24. [PMID: 36357558 PMCID: PMC9823057 DOI: 10.1007/s10519-022-10123-w] [Citation(s) in RCA: 17] [Impact Index Per Article: 8.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/19/2021] [Accepted: 10/11/2022] [Indexed: 11/12/2022]
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.
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Affiliation(s)
- Hermine H M Maes
- 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.
- Massey Cancer Center, Virginia Commonwealth University, Richmond, VA, USA.
| | - Dana M Lapato
- Department of Human and Molecular Genetics, Virginia Institute for Psychiatric and Behavioral Genetics, Virginia Commonwealth University, PO Box 980033, Richmond, VA, 23298-0033, USA
| | - J Eric Schmitt
- Departments of Radiology and Psychiatry, University of Pennsylvania, Philadelphia, PA, USA
| | - Monica Luciana
- Department of Psychology, University of Minnesota, Minneapolis, USA
| | - Marie T Banich
- Department of Psychology and Neuroscience, University of Colorado, Boulder, USA
- Institute of Cognitive Science, University of Colorado, Boulder, USA
| | - James M Bjork
- Department of Psychiatry, Virginia Institute for Psychiatric and Behavioral Genetics, Virginia Commonwealth University, Richmond, VA, USA
| | - John K Hewitt
- Institute of Cognitive Science, University of Colorado, Boulder, USA
- Institute for Behavioral Genetics, University of Colorado, Boulder, USA
| | - Pamela A Madden
- Department of Psychiatry, Washington University in St Louis, St Louis, MO, USA
| | - Andrew C Heath
- Department of Psychiatry, Washington University in St Louis, St Louis, MO, USA
| | - Deanna M Barch
- Department of Psychiatry, Washington University in St Louis, St Louis, MO, USA
| | - Wes K Thompson
- Division of Biostatistics and Department of Radiology, Population Neuroscience and Genetics Lab, University of California at San Diego, La Jolla, CA, USA
| | - William G Iacono
- Department of Psychology, University of Minnesota, Minneapolis, USA
| | - Michael C Neale
- 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
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Maes HH. Notes on Three Decades of Methodology Workshops. Behav Genet 2021; 51:170-180. [PMID: 33585974 DOI: 10.1007/s10519-021-10049-9] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/05/2020] [Accepted: 01/27/2021] [Indexed: 01/20/2023]
Abstract
Since 1987, a group of behavior geneticists have been teaching an annual methodology workshop on how to use state-of-the-art methods to analyze genetically informative data. In the early years, the focus was on analyzing twin and family data, using information of their known genetic relatedness to infer the role of genetic and environmental factors on phenotypic variation. With the rapid evolution of genotyping and sequencing technology and availability of measured genetic data, new methods to detect genetic variants associated with human traits were developed and became the focus of workshop teaching in alternate years. Over the years, many of the methodological advances in the field of statistical genetics have been direct outgrowths of the workshop, as evidence by the software and methodological publications authored by workshop faculty. We provide data and demographics of workshop attendees and evaluate the impact of the methodology workshops on scientific output in the field by evaluating the number of papers applying specific statistical genetic methodologies authored by individuals who have attended workshops.
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Affiliation(s)
- Hermine H Maes
- 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. .,Massey Cancer Center, Virginia Commonwealth University, Richmond, VA, USA. .,Department of Kinesiology, Katholieke Universiteit Leuven, Leuven, Belgium.
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Yang W, Yi K, Yu H, Ding Y, Li D, Wei Y, You T, Xie X. Correlation between pri-miR-124 (rs531564) polymorphism and congenital heart disease susceptibility in Chinese population at two different altitudes: a case-control and in silico study. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2019; 26:21983-21992. [PMID: 31144180 PMCID: PMC6657426 DOI: 10.1007/s11356-019-05350-4] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 02/23/2019] [Accepted: 05/01/2019] [Indexed: 06/09/2023]
Abstract
The development of congenital heart disease (CHD) is a complicated process and affected by multiple environmental factors, as genetic factors, and the interactions among those factors. Previous studies have shown that intrauterine hypoxic environment exposure is a risk factor of CHD, but the genetic factors involved in the process are not clear. In this study, given that tetralogy of Fallot (TOF) is a CHD with hypoxemia as its primary pathophysiological manifestation, an in silico analysis was performed to reveal the relationship between potential target genes (miR-124) with the energy metabolism in non-syndromic TOF patients' cardiomyocyte. Furthermore, the study investigated the correlation between the primary miR-124 (rs531564) polymorphism and CHD susceptibility in 432 sporadic patients and 450 controls from two different altitude provinces (city) in China. Our study indicated that the minor C allele of rs531564 correlated with reduced risk of CHD in the low altitude city. Besides, the C allele has elevated frequency in the high-altitude group. Therefore, our findings suggest that the minor C allele of rs531564 SNP may be involved in the reduction of the risk of CHD in a way that interacts with the intrauterine hypoxic environmental factors.
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Affiliation(s)
- Wenke Yang
- School of Basic Medical Science, Lanzhou University, Lanzhou, 730000, China
- Gansu Cardiovascular Institute, People's Hospital of Lanzhou City, Lanzhou, 730050, China
| | - Kang Yi
- Department of Cardiac Surgery, Gansu Provincial Hospital, Lanzhou, 730000, China
- Congenital Heart Disease Diagnosis and Treatment Gansu Province International Science and Technology Cooperation Base, Lanzhou, 730000, China
| | - Hongmiao Yu
- School of Basic Medical Science, Lanzhou University, Lanzhou, 730000, China
| | - Yunhan Ding
- School of Basic Medical Science, Lanzhou University, Lanzhou, 730000, China
| | - Dehong Li
- Department of Cardiac Surgery, Gansu Provincial Hospital, Lanzhou, 730000, China
| | - Yuping Wei
- Department of Cardiac Surgery, Gansu Provincial Hospital, Lanzhou, 730000, China
| | - Tao You
- Department of Cardiac Surgery, Gansu Provincial Hospital, Lanzhou, 730000, China.
- Congenital Heart Disease Diagnosis and Treatment Gansu Province International Science and Technology Cooperation Base, Lanzhou, 730000, China.
| | - Xiaodong Xie
- School of Basic Medical Science, Lanzhou University, Lanzhou, 730000, China.
- Gansu Cardiovascular Institute, People's Hospital of Lanzhou City, Lanzhou, 730050, China.
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