Searching for valid psychiatric phenotypes: Discrete latent variable models

Research output: Contribution to journalArticle

Abstract

Introduction: A primary challenge in psychiatric genetics is the lack of a completely validated system of classification for mental disorders. Appropriate statistical methods are needed to empirically derive more homogenous disorder subtypes. Methods: Using the framework of Robins and Guze's ('Establishment of diagnostic validity in psychiatric illness: its application to schizophrenia', American Journal of Psychiatry, 1970, 126 (7), 983-987) five phases, latent variable models to derive and validate diagnostic groups are described. A process of iterative validation is proposed through which refined phenotypes would facilitate research on genetics, pathogenesis, and treatment, which would in turn aid further refinement of disorder definitions. Conclusions: Latent variable methods are useful tools for defining and validating psychiatric phenotypes. Further methodological research should address sample size issues and application to iterative validation.

Original languageEnglish (US)
Pages (from-to)63-73
Number of pages11
JournalInternational Journal of Methods in Psychiatric Research
Volume19
Issue number2
DOIs
StatePublished - Jun 2010

Fingerprint

Psychiatry
Phenotype
Genetic Research
Songbirds
Mental Disorders
Sample Size
Schizophrenia
Research

Keywords

  • Latent class analysis
  • Phenotype
  • Validation

ASJC Scopus subject areas

  • Psychiatry and Mental health

Cite this

@article{3c884534fea448bfbb8fc038548db5bc,
title = "Searching for valid psychiatric phenotypes: Discrete latent variable models",
abstract = "Introduction: A primary challenge in psychiatric genetics is the lack of a completely validated system of classification for mental disorders. Appropriate statistical methods are needed to empirically derive more homogenous disorder subtypes. Methods: Using the framework of Robins and Guze's ('Establishment of diagnostic validity in psychiatric illness: its application to schizophrenia', American Journal of Psychiatry, 1970, 126 (7), 983-987) five phases, latent variable models to derive and validate diagnostic groups are described. A process of iterative validation is proposed through which refined phenotypes would facilitate research on genetics, pathogenesis, and treatment, which would in turn aid further refinement of disorder definitions. Conclusions: Latent variable methods are useful tools for defining and validating psychiatric phenotypes. Further methodological research should address sample size issues and application to iterative validation.",
keywords = "Latent class analysis, Phenotype, Validation",
author = "Leoutsakos, {Jeannie-Marie S} and Zandi, {Peter P} and {Bandeen Roche}, {Karen J} and Lyketsos, {Constantine G}",
year = "2010",
month = "6",
doi = "10.1002/mpr.301",
language = "English (US)",
volume = "19",
pages = "63--73",
journal = "International Journal of Methods in Psychiatric Research",
issn = "1049-8931",
publisher = "John Wiley and Sons Ltd",
number = "2",

}

TY - JOUR

T1 - Searching for valid psychiatric phenotypes

T2 - Discrete latent variable models

AU - Leoutsakos, Jeannie-Marie S

AU - Zandi, Peter P

AU - Bandeen Roche, Karen J

AU - Lyketsos, Constantine G

PY - 2010/6

Y1 - 2010/6

N2 - Introduction: A primary challenge in psychiatric genetics is the lack of a completely validated system of classification for mental disorders. Appropriate statistical methods are needed to empirically derive more homogenous disorder subtypes. Methods: Using the framework of Robins and Guze's ('Establishment of diagnostic validity in psychiatric illness: its application to schizophrenia', American Journal of Psychiatry, 1970, 126 (7), 983-987) five phases, latent variable models to derive and validate diagnostic groups are described. A process of iterative validation is proposed through which refined phenotypes would facilitate research on genetics, pathogenesis, and treatment, which would in turn aid further refinement of disorder definitions. Conclusions: Latent variable methods are useful tools for defining and validating psychiatric phenotypes. Further methodological research should address sample size issues and application to iterative validation.

AB - Introduction: A primary challenge in psychiatric genetics is the lack of a completely validated system of classification for mental disorders. Appropriate statistical methods are needed to empirically derive more homogenous disorder subtypes. Methods: Using the framework of Robins and Guze's ('Establishment of diagnostic validity in psychiatric illness: its application to schizophrenia', American Journal of Psychiatry, 1970, 126 (7), 983-987) five phases, latent variable models to derive and validate diagnostic groups are described. A process of iterative validation is proposed through which refined phenotypes would facilitate research on genetics, pathogenesis, and treatment, which would in turn aid further refinement of disorder definitions. Conclusions: Latent variable methods are useful tools for defining and validating psychiatric phenotypes. Further methodological research should address sample size issues and application to iterative validation.

KW - Latent class analysis

KW - Phenotype

KW - Validation

UR - http://www.scopus.com/inward/record.url?scp=77952681074&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=77952681074&partnerID=8YFLogxK

U2 - 10.1002/mpr.301

DO - 10.1002/mpr.301

M3 - Article

C2 - 20187060

AN - SCOPUS:77952681074

VL - 19

SP - 63

EP - 73

JO - International Journal of Methods in Psychiatric Research

JF - International Journal of Methods in Psychiatric Research

SN - 1049-8931

IS - 2

ER -