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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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Direction of causation modeling between cross-sectional measures of parenting and psychological distress in female twins.

TL;DR: DOC modeling between latent constructs of parenting and psychological distress revealed that a model which specified recollected parental behavior as the cause of psychological distress provided a better fit than a models which specified psychological distress as thecause of recollected parent behavior.
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Extensions to the modeling of initiation and progression: applications to substance use and abuse.

TL;DR: Using the general framework for the analysis of ordinal data with missing values available in Mx makes extensions that include other variables much easier, and the effects of continuous covariates such as age on initiation and progression becomes simple.
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Clinical features of psychotic disorders and polymorphisms in HT2A, DRD2, DRD4, SLC6A3 (DAT1), and BDNF: a family based association study

TL;DR: The results suggest that more attention should be focused on the impact of these alleles on clinical features of schizophrenia, given prior evidence of involvement of the proteins encoded by these genes in psychopathology.
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Genetic and environmental variation in menstrual cycle: histories of two British twin samples.

TL;DR: The results suggest that age of menarche, menstrual cycle regularity and premenstrual symptom reporting may be heritable, whereas menstrual cycle length is not.
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Polygenic risk scores for smoking: predictors for alcohol and cannabis use?

TL;DR: Polygenic risk scores reflect a combined effect of selected risk alleles for smoking, which are influenced by aggregated genetic risk factors shared between these substances.