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 Genetic Contributions to Maturational Coupling in the Human Cerebrum: A Longitudinal Pediatric Twin Imaging Study.
TL;DR: Analysis of longitudinal anatomic MRI scans from 792 healthy twins and siblings found that genetic correlations for both lobar volumes and cortical thickness are dynamic, with relatively static effects on surface area.
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Meaningful associations in the adolescent brain cognitive development study
Anthony Steven Dick,Daniel A. Lopez,Ashley L. Watts,Steven G. Heeringa,Chase Reuter,Hauke Bartsch,Chun Chieh Fan,David N. Kennedy,Clare E. Palmer,Andrew T. Marshall,Frank Haist,Samuel W. Hawes,Thomas E. Nichols,M Deanna,Terry L. Jernigan,Hugh Garavan,Steven Grant,Vani Pariyadath,Elizabeth A. Hoffman,Michael C. Neale,Elizabeth A. Stuart,Martin P. Paulus,Kenneth J. Sher,Wesley K. Thompson +23 more
TL;DR: The Adolescent Brain Cognitive Development (ABCD) Study as discussed by the authors is the largest single-cohort prospective longitudinal study of neurodevelopment and children's health in the United States.
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Joint tests of linkage and association for quantitative traits.
TL;DR: Various study designs and analytic techniques for testing the joint hypothesis that a genetic marker is both linked to and associated with a quantitative phenotype and the application of such methods to fine mapping are described.
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The relationship between age at first drug use and teenage drug use liability.
Joanne M. Meyer,Michael C. Neale +1 more
TL;DR: Analysis of Carey's (1992) simulated data set of substance abuse in a cohort of adolescent twins indicated that age at first drug use was a perfect index of drug use liability and model-fitting results indicated that only shared environmental factors accounted for twin similarity in the onset and timing ofdrug use.
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Genetic architecture of hippocampal subfields on standard resolution MRI: How the parts relate to the whole.
Jeremy A. Elman,Matthew S. Panizzon,Nathan A. Gillespie,Donald J. Hagler,Christine Fennema-Notestine,Lisa T. Eyler,Linda K. McEvoy,Michael C. Neale,Michael J. Lyons,Carol E. Franz,Anders M. Dale,William S. Kremen +11 more
TL;DR: The current results suggest that it will be difficult for large‐scale genetic analyses to identify subfield‐specific genes that are distinct from both total hippocampal volume and other subfields using segmentations generated from standard resolution T1‐weighted images.