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Lenzenweger MF, McLachlan G, Rubin DB. Resolving the latent structure of schizophrenia endophenotypes using expectation-maximization-based finite mixture modeling. J Abnorm Psychol . 2007 Feb ; 116(1):16-29. PubMed Abstract

Comments on Paper and Primary News
Comment by:  Deborah Levy
Submitted 20 March 2007 Posted 20 March 2007

The recent paper by Lenzenweger, McLachlan, and Rubin unifies several important themes in schizophrenia research in a manner that provides a powerful methodological and statistical approach for uncovering the latent structure of empirical data. In particular, it provides a quantitatively based method for assigning risk for schizophrenia while also helping to resolve heterogeneity. Specifically, what are the different meanings and significances of different conceptualizations about the relationship between schizophrenia liability and endophenotypes? This study represents an ambitious effort to grapple with critical and complex issues facing schizophrenia researchers.

Endophenotypes for schizophrenia liability have received considerable attention in recent years, beginning with the pioneering work of Philip S. Holzman, who first recognized the potential significance of the unusually high rates of certain traits in clinically unaffected relatives. The general appeal of endophenotypes is that they are strongly associated with schizophrenia and occur in first-degree relatives...  Read more

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