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
Comparing Factor, Class, and Mixture Models of Cannabis Initiation and DSM Cannabis Use Disorder Criteria, Including Craving, in the Brisbane Longitudinal Twin Study
Thomas S. Kubarych,Kenneth S. Kendler,Steven H. Aggen,Ryne Estabrook,Alexis C. Edwards,Shaunna L. Clark,Nicholas G. Martin,Ian B. Hickie,Michael C. Neale,Nathan A. Gillespie,Nathan A. Gillespie +10 more
TL;DR: A parsimonious, best-fitting cannabis use disorder (CUD) phenotype was derived based on DSM-IV criteria and whether DSM-5 craving loads onto a general factor was determined, which concluded that a second clinically relevant factor defined by features of social and occupational impairment was found for frequent cannabis use.
Posted ContentDOI
Extending Causality Tests With Genetic Instruments: An Integration Of Mendelian Randomization And The Classical Twin Design
TL;DR: This work developed the MR-DoC twin model by integrating MR with the Direction of Causation twin model, which allows us to test pleiotropy directly and will enhance and extend MR’s range of applications, and increase the value of the large cohorts collected at twin registries as they correctly detect causation and estimate effect sizes even in the presence of Pleiotropy.
Journal ArticleDOI
Genetic association between RGS1 and internalizing disorders.
John M. Hettema,Seon-Sook An,Edwin J. C. G. van den Oord,Michael C. Neale,Kenneth S. Kendler,Xiangning Chen +5 more
TL;DR: The data suggest that markers in the RGS1 gene might be in linkage disequilibrium with a protective allele that reduces the risk of anxiety and depressive disorders.
Journal ArticleDOI
Genetically Informed Regression Analysis: Application to Aggression Prediction by Inattention and Hyperactivity in Children and Adults
Dorret I. Boomsma,Toos C. E. M. van Beijsterveldt,Veronika V. Odintsova,Michael C. Neale,Conor V. Dolan +4 more
TL;DR: A procedure to simultaneously fit a genetic covariance structure model and a regression model to multivariate data from mono- and dizygotic twin pairs to test for the prediction of a dependent trait by multiple correlated predictors is presented and this ADCE model is identified in trivariate data.