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 Heritability of Cortical Folding: Evidence from the Human Connectome Project.
TL;DR: Examination of FreeSurfer-derived estimates of average convexity and mean curvature as proxy measures of cortical folding patterns using a large genetically informative young adult subsample of the Human Connectome Project finds both measures were significantly heritable near major sulci and primary fissures.
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Favorable outcomes in patients with high donor-derived T cell count after in vivo T cell-depleted reduced-intensity allogeneic stem cell transplantation.
Amir A. Toor,Roy T. Sabo,Harold M. Chung,Catherine H. Roberts,Rose H. Manjili,S. Song,David C. Williams,Wendy Edmiston,Mandy L Gatesman,Richard W. Edwards,Andrea Ferreira-Gonzalez,William B. Clark,Michael C. Neale,John M. McCarty,Masoud H. Manjili +14 more
TL;DR: Early data from a small cohort of patients indicate that ddCD3 at 8 weeks may be used to guide decisions regarding withdrawal of immunosuppression and administration of donor lymphocyte infusion in partially T cell-depleted reduced-intensity regimens.
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Endorsement frequencies and factor structure of DSM-III-R and DSM-IV Generalized Anxiety Disorder symptoms in women: implications for future research, classification, clinical practice and comorbidity
TL;DR: The dimensions of liability to Generalized Anxiety Disorder (GAD) and whether evidence exists for distinct pathological versus normal clusters in the population are investigated and endorsement rates are estimated using full information maximum likelihood factor analyses of the GAD symptoms.
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Psychometric modeling of cannabis initiation and use and the symptoms of cannabis abuse, dependence and withdrawal in a sample of male and female twins
TL;DR: Despite an emerging consensus that the DSM-IV diagnostic criteria for cannabis abuse and dependence are best represented by a single underlying liability, it remains unknown if latent class or hybrid models can better explain the data as mentioned in this paper.
Journal ArticleDOI
Genetic, environmental, and phenotypic links between body mass index and blood pressure among women.
David B. Allison,David B. Allison,Stanley Heshka,Michael C. Neale,Peter V. Tishler,Steven B. Heymsfield +5 more
TL;DR: Changes in BMI should lead to long-standing changes in BP, regardless of the source of variation, and the best single parameter explanation of the BP-BMI covariation is provided.