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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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Model Fit Estimation for Multilevel Structural Equation Models

TL;DR: The present article reviews the partiallyaturated model fit approach first suggested by Ryu and West and an alternative model parameterization that removes the multilevel data structure and describes the implementation of an algorithm to compute partially saturated model fit for 2-level structural equation models in the open source SEM package, OpenMx.
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Age moderates non‐genetic influences on the initiation of cannabis use: a twin‐sibling study in Dutch adolescents and young adults

TL;DR: The heritability of the liability for cannabis initiation is higher in adolescents than in young adults due to a larger contribution of environmental factors in young Adult, mainly shared by twins and those shared by all offspring growing up in the same family.
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Association study between GABA receptor genes and anxiety spectrum disorders.

TL;DR: Findings suggest that common variation in the GABRA2, G ABRA3, GABra6, and GABRG2 genes does not play a major role in liability to anxiety spectrum disorders.
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Whole Exome Sequencing to Estimate Alloreactivity Potential Between Donors and Recipients in Stem Cell Transplantation

TL;DR: In this paper, the authors performed whole exome sequencing on HLA-matched stem cell donors and transplant recipients to measure sequence variation contributing to minor histocompatibility antigen differences between the two.
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An association between Epac-1 gene variants and anxiety and depression in two independent samples.

TL;DR: Both samples showed an association between Epac‐1 gene variants and anxiety and depression, but for different variants or in opposite directions, and divergent results could be due to differences in linkage disequilibrium between the investigated SNPs and a functional polymorphism in the Dutch and USA sample.