Literature DB >> 11424984

Quantitative neural indicators of liability to schizophrenia: implications for molecular genetic studies.

T D Cannon1, T L Gasperoni, T G van Erp, I M Rosso.   

Abstract

While schizophrenia is substantially heritable, the disorder's molecular genetic basis remains elusive. These efforts have been hindered by an inability to detect nonclinically-penetrant carriers of the predisposing genes and by uncertainties concerning the nature of the non-genetic influences and the extent of locus heterogeneity. The "endophenotype" approach is an alternative method for measuring phenotypic variation that may facilitate the identification of susceptibility genes in the context of complexly-inherited traits. Here we describe the application of this method to measures of brain structure and function in samples of schizophrenia patients and their non-ill first-degree relatives (siblings and co-twins). Our results suggest that there are likely to be multiple heritable dimensions of the central nervous system pathology in schizophrenia, each under the influence of a partially distinct set of genes, one of which involves disturbances in the structure and functioning of frontal lobe systems involved in working memory and another of which appears to render the brain more susceptible to damage to subcortical systems involved in long-term memory following oxygen deprivation in utero. Measures sensitive to quantitative variation in these dimensions of the central nervous system compromise should allow non-penetrant gene carriers to become informative for genetic linkage and facilitate detection of different genetic loci contributing to discrete aspects of disease liability.

Entities:  

Mesh:

Year:  2001        PMID: 11424984

Source DB:  PubMed          Journal:  Am J Med Genet        ISSN: 0148-7299


  10 in total

Review 1.  Closing the 'phenotype gap' in precision medicine: improving what we measure to understand complex disease mechanisms.

Authors:  Calum A MacRae
Journal:  Mamm Genome       Date:  2019-08-19       Impact factor: 2.957

2.  Next-generation genome-wide association studies: time to focus on phenotype?

Authors:  Calum A MacRae; Ramachandran S Vasan
Journal:  Circ Cardiovasc Genet       Date:  2011-08-01

3.  Prefrontal deviations in function but not volume are putative endophenotypes for schizophrenia.

Authors:  Sheena F Owens; Marco M Picchioni; Ulrich Ettinger; Colm McDonald; Muriel Walshe; Anne Schmechtig; Robin M Murray; Fruhling Rijsdijk; Timothea Toulopoulou
Journal:  Brain       Date:  2012-06-12       Impact factor: 13.501

Review 4.  The endophenotype concept in psychiatric genetics.

Authors:  Jonathan Flint; Marcus R Munafò
Journal:  Psychol Med       Date:  2006-09-18       Impact factor: 7.723

5.  A new role for endophenotypes in the GWAS era: functional characterization of risk variants.

Authors:  Mei-Hua Hall; Jordan W Smoller
Journal:  Harv Rev Psychiatry       Date:  2010 Jan-Feb       Impact factor: 3.732

Review 6.  [Endophenotype--a new concept for biological characterization of psychiatric disorders].

Authors:  A Zobel; W Maier
Journal:  Nervenarzt       Date:  2004-03       Impact factor: 1.214

7.  Evidence of missense mutations on the neuregulin 1 gene affecting function of prepulse inhibition.

Authors:  L Elliot Hong; Ikwunga Wonodi; O Colin Stine; Braxton D Mitchell; Gunvant K Thaker
Journal:  Biol Psychiatry       Date:  2007-07-12       Impact factor: 13.382

8.  Genetic associations of fatigue and other symptom domains of the acute sickness response to infection.

Authors:  B Piraino; U Vollmer-Conna; A R Lloyd
Journal:  Brain Behav Immun       Date:  2011-12-29       Impact factor: 7.217

Review 9.  Epigenetics, stress, and their potential impact on brain network function: a focus on the schizophrenia diatheses.

Authors:  Vaibhav A Diwadkar; Angela Bustamante; Harinder Rai; Monica Uddin
Journal:  Front Psychiatry       Date:  2014-06-23       Impact factor: 4.157

10.  ADGRL3, FGF1 and DRD4: Linkage and Association with Working Memory and Perceptual Organization Candidate Endophenotypes in ADHD.

Authors:  Martha L Cervantes-Henriquez; Johan E Acosta-López; Mostapha Ahmad; Manuel Sánchez-Rojas; Giomar Jiménez-Figueroa; Wilmar Pineda-Alhucema; Martha L Martinez-Banfi; Luz M Noguera-Machacón; Elsy Mejía-Segura; Moisés De La Hoz; Mauricio Arcos-Holzinger; David A Pineda; Pedro J Puentes-Rozo; Mauricio Arcos-Burgos; Jorge I Vélez
Journal:  Brain Sci       Date:  2021-06-26
  10 in total

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