M
Michael C. Neale
Researcher at Virginia Commonwealth University
Publications - 647
Citations - 72612
Michael C. Neale is an academic researcher from Virginia Commonwealth University. The author has contributed to research in topics: Twin study & Population. The author has an hindex of 121, co-authored 620 publications receiving 66343 citations. Previous affiliations of Michael C. Neale include VU University Amsterdam & University of East London.
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Journal ArticleDOI
The Structure of Genetic and Environmental Risk Factors for Common Psychiatric and Substance Use Disorders in Men and Women
TL;DR: The underlying structure of the genetic and environmental risk factors for the common psychiatric and drug abuse disorders in men and women is very similar.
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Genetic and environmental factors in relative body weight and human adiposity.
TL;DR: Data from the Virginia 30,000, including twins and their parents, siblings, spouses, and children, were analyzed using a structural equation model (Stealth) and no evidence was found for a special MZ twin environment, thereby supporting the equal environment assumption.
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A review and meta-analysis of the genetic epidemiology of anxiety disorders.
TL;DR: Meta-analyses of data from family and twin studies of panic disorder, generalized anxiety disorder, phobias, and obsessive-compulsive disorder revealed significant familial aggregation, underscoring the importance of identifying putative environmental risk factors that predispose individuals to anxiety.
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Distinct Genetic Influences on Cortical Surface Area and Cortical Thickness
Matthew S. Panizzon,Christine Fennema-Notestine,Lisa T. Eyler,Terry L. Jernigan,Elizabeth Prom-Wormley,Michael C. Neale,Kristen C. Jacobson,Michael J. Lyons,Michael D. Grant,Carol E. Franz,Hong Xian,Ming T. Tsuang,Ming T. Tsuang,Bruce Fischl,Larry J. Seidman,Anders M. Dale,William S. Kremen,William S. Kremen +17 more
TL;DR: It is demonstrated that cortical volume measures combine at least 2 distinct sources of genetic influences, and using volume in a genetically informative study, or as an endophenotype for a disorder, may confound the underlying genetic architecture of brain structure.
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OpenMx: An Open Source Extended Structural Equation Modeling Framework
Steven M. Boker,Michael C. Neale,Hermine H. Maes,Michael Wilde,Michael Spiegel,Timothy R. Brick,Jeffrey R. Spies,Ryne Estabrook,Sarah Kenny,Timothy C. Bates,Paras D. Mehta,John Fox +11 more
TL;DR: The OpenMx data structures are introduced—these novel structures define the user interface framework and provide new opportunities for model specification and a discussion of directions for future development.