Literature DB >> 16697071

Endophenotypes for psychiatric disorders: ready for primetime?

Carrie E Bearden1, Nelson B Freimer.   

Abstract

It is increasingly accepted that the imprecision of categorical psychiatric diagnoses can be a limiting factor in understanding the genetic basis of human behavioral abnormalities. Genetic investigation of endophenotypes--more precisely defined quantitative traits hypothesized to underlie disease syndromes--offers great promise as an alternative or complement to studies of categorical disease phenotypes. However, there is not yet standardization of the methods by which candidate endophenotypes should be chosen and applied. Fruitful endophenotype studies depend on the selection of heritable, quantitative traits that can be objectively and reliably measured. In this article, we propose guidelines for such investigations for psychiatric disorders, using endophenotypes previously proposed for bipolar disorder as particular examples. Gene expression studies and non-human primate models are recent developments in which an endophenotype approach might prove particularly valuable.

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Year:  2006        PMID: 16697071     DOI: 10.1016/j.tig.2006.04.004

Source DB:  PubMed          Journal:  Trends Genet        ISSN: 0168-9525            Impact factor:   11.639


  80 in total

Review 1.  The concept of FDG-PET endophenotype in Alzheimer's disease.

Authors:  Emmanuel H During; R S Osorio; F M Elahi; L Mosconi; M J de Leon
Journal:  Neurol Sci       Date:  2011-06-01       Impact factor: 3.307

2.  Does psychomotor retardation define a clinically relevant phenotype of unipolar depression?

Authors:  S Calugi; G B Cassano; A Litta; P Rucci; A Benvenuti; M Miniati; L Lattanzi; V Mantua; V Lombardi; A Fagiolini; E Frank
Journal:  J Affect Disord       Date:  2010-09-15       Impact factor: 4.839

3.  Human behavioral informatics in genetic studies of neuropsychiatric disease: multivariate profile-based analysis.

Authors:  Cinnamon S Bloss; Kelly M Schiabor; Nicholas J Schork
Journal:  Brain Res Bull       Date:  2010-04-28       Impact factor: 4.077

Review 4.  Genetic architecture of declarative memory: implications for complex illnesses.

Authors:  Carrie E Bearden; Katherine H Karlsgodt; Peter Bachman; Theo G M van Erp; Anderson M Winkler; David C Glahn
Journal:  Neuroscientist       Date:  2011-08-10       Impact factor: 7.519

Review 5.  Genetics and genomics of psychiatric disease.

Authors:  Daniel H Geschwind; Jonathan Flint
Journal:  Science       Date:  2015-09-24       Impact factor: 47.728

Review 6.  Empirical evidence of cognitive vulnerability for depression among children and adolescents: a cognitive science and developmental perspective.

Authors:  Rachel H Jacobs; Mark A Reinecke; Jackie K Gollan; Peter Kane
Journal:  Clin Psychol Rev       Date:  2007-11-06

Review 7.  Electrophysiological Endophenotypes for Schizophrenia.

Authors:  Emily M Owens; Peter Bachman; David C Glahn; Carrie E Bearden
Journal:  Harv Rev Psychiatry       Date:  2016 Mar-Apr       Impact factor: 3.732

8.  Common prefrontal regions activate during self-control of craving, emotion, and motor impulses in smokers.

Authors:  Golnaz Tabibnia; J David Creswell; Thomas Kraynak; Cecilia Westbrook; Erica Julson; Hilary A Tindle
Journal:  Clin Psychol Sci       Date:  2014-09

9.  Clinical correlates of subsyndromal depression in African American individuals with psychosis: The relationship with positive symptoms and comorbid substance dependence.

Authors:  Emma E M Knowles; Samuel R Mathias; Godfrey D Pearlson; Jennifer Barrett; Josephine Mollon; Dominique Denbow; Katrina Aberzik; Molly Zatony; David C Glahn
Journal:  Schizophr Res       Date:  2018-10-26       Impact factor: 4.939

Review 10.  Relating human genetic variation to variation in drug responses.

Authors:  Ashraf G Madian; Heather E Wheeler; Richard Baker Jones; M Eileen Dolan
Journal:  Trends Genet       Date:  2012-07-26       Impact factor: 11.639

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