Literature DB >> 20187060

Searching for valid psychiatric phenotypes: discrete latent variable models.

Jeannie-Marie S Leoutsakos1, Peter P Zandi, Karen Bandeen-Roche, Constantine G Lyketsos.   

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.

Entities:  

Mesh:

Year:  2010        PMID: 20187060      PMCID: PMC2877764          DOI: 10.1002/mpr.301

Source DB:  PubMed          Journal:  Int J Methods Psychiatr Res        ISSN: 1049-8931            Impact factor:   4.035


  26 in total

1.  Naturalistic changes in the readiness to quit tobacco smoking in a German general population sample.

Authors:  Anja Schumann; Christian Meyer; Hans-Jürgen Rumpf; Ulfert Hapke; Ulrich John
Journal:  Prev Med       Date:  2002-10       Impact factor: 4.018

2.  General growth mixture modeling for randomized preventive interventions.

Authors:  Bengt Muthén; C Hendricks Brown; Katherine Masyn; Booil Jo; Siek-Toon Khoo; Chih-Chien Yang; Chen-Pin Wang; Sheppard G Kellam; John B Carlin; Jason Liao
Journal:  Biostatistics       Date:  2002-12       Impact factor: 5.899

3.  Establishment of diagnostic validity in psychiatric illness: its application to schizophrenia.

Authors:  E Robins; S B Guze
Journal:  Am J Psychiatry       Date:  1970-01       Impact factor: 18.112

4.  Collaborative analysis of DRD4 and DAT genotypes in population-defined ADHD subtypes.

Authors:  Richard D Todd; Hongyan Huang; Susan L Smalley; Stanley F Nelson; Erik G Willcutt; Bruce F Pennington; Shelley D Smith; Stephen V Faraone; Rosalind J Neuman
Journal:  J Child Psychol Psychiatry       Date:  2005-10       Impact factor: 8.982

5.  Understanding the heterogeneity of depression through the triad of symptoms, course and risk factors: a longitudinal, population-based study.

Authors:  L Chen; W W Eaton; J J Gallo; G Nestadt
Journal:  J Affect Disord       Date:  2000-07       Impact factor: 4.839

6.  Genotype-phenotype studies in bipolar disorder showing association between the DAOA/G30 locus and persecutory delusions: a first step toward a molecular genetic classification of psychiatric phenotypes.

Authors:  Thomas G Schulze; Stephanie Ohlraun; Piotr M Czerski; Johannes Schumacher; Layla Kassem; Monika Deschner; Magdalena Gross; Monja Tullius; Vivien Heidmann; Svetlana Kovalenko; Rami Abou Jamra; Tim Becker; Anna Leszczynska-Rodziewicz; Joanna Hauser; Thomas Illig; Norman Klopp; Stefan Wellek; Sven Cichon; Fritz A Henn; Francis J McMahon; Wolfgang Maier; Peter Propping; Markus M Nöthen; Marcella Rietschel
Journal:  Am J Psychiatry       Date:  2005-11       Impact factor: 18.112

7.  Influence of life stress on depression: moderation by a polymorphism in the 5-HTT gene.

Authors:  Avshalom Caspi; Karen Sugden; Terrie E Moffitt; Alan Taylor; Ian W Craig; HonaLee Harrington; Joseph McClay; Jonathan Mill; Judy Martin; Antony Braithwaite; Richie Poulton
Journal:  Science       Date:  2003-07-18       Impact factor: 47.728

8.  Lapses following alcohol treatment: modeling the falls from the wagon.

Authors:  Katie Witkiewitz
Journal:  J Stud Alcohol Drugs       Date:  2008-07       Impact factor: 2.582

9.  Distinguishing between the validity and utility of psychiatric diagnoses.

Authors:  Robert Kendell; Assen Jablensky
Journal:  Am J Psychiatry       Date:  2003-01       Impact factor: 18.112

Review 10.  Genes for schizophrenia and bipolar disorder? Implications for psychiatric nosology.

Authors:  Nick Craddock; Michael C O'Donovan; Michael J Owen
Journal:  Schizophr Bull       Date:  2005-11-30       Impact factor: 9.306

View more
  5 in total

1.  Effects of non-steroidal anti-inflammatory drug treatments on cognitive decline vary by phase of pre-clinical Alzheimer disease: findings from the randomized controlled Alzheimer's Disease Anti-inflammatory Prevention Trial.

Authors:  Jeannie-Marie S Leoutsakos; Bengt O Muthen; John C S Breitner; Constantine G Lyketsos
Journal:  Int J Geriatr Psychiatry       Date:  2011-05-10       Impact factor: 3.485

2.  The clinical utility of personality subtypes in patients with anorexia nervosa.

Authors:  Jennifer E Wildes; Marsha D Marcus; Ross D Crosby; Rebecca M Ringham; Marcela Marin Dapelo; Jill A Gaskill; Kelsie T Forbush
Journal:  J Consult Clin Psychol       Date:  2011-10

3.  Psychometric modeling of cannabis initiation and use and the symptoms of cannabis abuse, dependence and withdrawal in a sample of male and female twins.

Authors:  Nathan A Gillespie; Kenneth S Kendler; Michael C Neale
Journal:  Drug Alcohol Depend       Date:  2011-04-19       Impact factor: 4.492

4.  Incorporating scientific knowledge into phenotype development: penalized latent class regression.

Authors:  Jeannie-Marie S Leoutsakos; Karen Bandeen-Roche; Elizabeth Garrett-Mayer; Peter P Zandi
Journal:  Stat Med       Date:  2010-12-05       Impact factor: 2.373

5.  Comparing factor, class, and mixture models of cannabis initiation and DSM cannabis use disorder criteria, including craving, in the Brisbane longitudinal twin study.

Authors:  Thomas S Kubarych; Kenneth S Kendler; Steven H Aggen; Ryne Estabrook; Alexis C Edwards; Shaunna L Clark; Nicholas G Martin; Ian B Hickie; Michael C Neale; Nathan A Gillespie
Journal:  Twin Res Hum Genet       Date:  2014-03-03       Impact factor: 1.587

  5 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.