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Pregled bibliografske jedinice broj: 253080

Linkage analysis of candidate regions using a composite neurocognitive phenotype correlated with schizophrenia


Hallmayer, F., Joachim; Jablensky, Assen; Michie, Patricia; Woodbury, Max; Salmon, Boyd; Combrinck, Johann; Wichmann, Helen; Rock, Danniel; D'Ercole, Maria; Howell, Sarah et al.
Linkage analysis of candidate regions using a composite neurocognitive phenotype correlated with schizophrenia // Molecular Psychiatry, 8 (2003), 511-523 (međunarodna recenzija, članak, znanstveni)


CROSBI ID: 253080 Za ispravke kontaktirajte CROSBI podršku putem web obrasca

Naslov
Linkage analysis of candidate regions using a composite neurocognitive phenotype correlated with schizophrenia

Autori
Hallmayer, F., Joachim ; Jablensky, Assen ; Michie, Patricia ; Woodbury, Max ; Salmon, Boyd ; Combrinck, Johann ; Wichmann, Helen ; Rock, Danniel ; D'Ercole, Maria ; Howell, Sarah ; Dragović, Milan ; Kent, Aaron

Izvornik
Molecular Psychiatry (1359-4184) 8 (2003); 511-523

Vrsta, podvrsta i kategorija rada
Radovi u časopisima, članak, znanstveni

Ključne riječi
schizophrenia; grade of membership analysis; genetic linkage; variance component analysis; correlated neurocognitive phenotypes; personality traits

Sažetak
As schizophrenia is genetically and clinically heterogeneous, systematic investigations are required to determine whether ICD-10 or DSM-IV categorical diagnoses identify a phenotype suitable and sufficient for genetic research, or whether correlated phenotypes incorporating neurocognitive performance and personality traits provide a phenotypic characterisation that accounts better for the underlying variation. We utilised a grade of membership (GoM) model (a mathematical typology developed for studies of complex biological systems) to integrate multiple cognitive and personality measurements into a limited number of composite graded traits (latent pure types) in a sample of 61 nuclear families comprising 80 subjects with ICD-10/ DSM-IV schizophrenia or schizophrenia spectrum disorders and 138 nonpsychotic first degree relatives. GoM probability scores, computed for all subjects, allowed individuals to be partly assigned to more than one pure type. Two distinct and contrasting neurocognitive phenotypes, one familial, associated with paranoid schizophrenia, and one sporadic, associated with nonparanoid schizophrenia, accounted for 74% of the affected subjects. Combining clinical diagnosis with GoM scores to stratify the entire sample into liability classes, and using variance component analysis (SOLAR), in addition to parametric and nonparametric multipoint linkage analysis, we explored candidate regions on chromosomes 6, 10 and 22. The results indicated suggestive linkage for the familial neurocognitive phenotype (multipoint MLS 2.6 under a low-penetrance model and MLS43.0 under a high-penetrance model) to a 14 cM area on chromosome 6, including the entire HLA region. Results for chromosomes 10 and 22 were negative. The findings suggest that the familial neurocognitive phenotype may be a pleiotropic expression of genes underlying the susceptibility to paranoid schizophrenia. We conclude that use of composite neurocognitive and personality trait measurements as correlated phenotypes supplementing clinical diagnosis can help stratify the liability to schizophrenia across all members of families prior to linkage, allow the search for susceptibility genes to focus selectively on subsets of families at high genetic risk, and augment considerably the power of genetic analysis.

Izvorni jezik
Engleski

Znanstvena područja
Temeljne medicinske znanosti, Kliničke medicinske znanosti, Psihologija



POVEZANOST RADA



Citiraj ovu publikaciju:

Hallmayer, F., Joachim; Jablensky, Assen; Michie, Patricia; Woodbury, Max; Salmon, Boyd; Combrinck, Johann; Wichmann, Helen; Rock, Danniel; D'Ercole, Maria; Howell, Sarah et al.
Linkage analysis of candidate regions using a composite neurocognitive phenotype correlated with schizophrenia // Molecular Psychiatry, 8 (2003), 511-523 (međunarodna recenzija, članak, znanstveni)
Hallmayer, F., Joachim, Jablensky, A., Michie, P., Woodbury, M., Salmon, B., Combrinck, J., Wichmann, H., Rock, D., D'Ercole, M. & Howell, S. (2003) Linkage analysis of candidate regions using a composite neurocognitive phenotype correlated with schizophrenia. Molecular Psychiatry, 8, 511-523.
@article{article, author = {Jablensky, Assen and Michie, Patricia and Woodbury, Max and Salmon, Boyd and Combrinck, Johann and Wichmann, Helen and Rock, Danniel and D'Ercole, Maria and Howell, Sarah and Dragovi\'{c}, Milan and Kent, Aaron}, year = {2003}, pages = {511-523}, keywords = {schizophrenia, grade of membership analysis, genetic linkage, variance component analysis, correlated neurocognitive phenotypes, personality traits}, journal = {Molecular Psychiatry}, volume = {8}, issn = {1359-4184}, title = {Linkage analysis of candidate regions using a composite neurocognitive phenotype correlated with schizophrenia}, keyword = {schizophrenia, grade of membership analysis, genetic linkage, variance component analysis, correlated neurocognitive phenotypes, personality traits} }
@article{article, author = {Jablensky, Assen and Michie, Patricia and Woodbury, Max and Salmon, Boyd and Combrinck, Johann and Wichmann, Helen and Rock, Danniel and D'Ercole, Maria and Howell, Sarah and Dragovi\'{c}, Milan and Kent, Aaron}, year = {2003}, pages = {511-523}, keywords = {schizophrenia, grade of membership analysis, genetic linkage, variance component analysis, correlated neurocognitive phenotypes, personality traits}, journal = {Molecular Psychiatry}, volume = {8}, issn = {1359-4184}, title = {Linkage analysis of candidate regions using a composite neurocognitive phenotype correlated with schizophrenia}, keyword = {schizophrenia, grade of membership analysis, genetic linkage, variance component analysis, correlated neurocognitive phenotypes, personality traits} }

Časopis indeksira:


  • Current Contents Connect (CCC)
  • Web of Science Core Collection (WoSCC)
    • Science Citation Index Expanded (SCI-EXP)
    • SCI-EXP, SSCI i/ili A&HCI
  • Scopus
  • MEDLINE


Uključenost u ostale bibliografske baze podataka::


  • Biological Abstracts
  • Index Medicus
  • Psychological Abstracts
  • Social Sciences Index





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