title: Future directions in genome-wide association studies of schizophrenia spectrum disorders
metadata.name: dc.contributor.author
metadata.value: Zakharova, Nataliia V.
metadata.lang: -
metadata.name: dc.contributor.author
metadata.value: Nizamutdinov, Igor I.
metadata.lang: -
metadata.name: dc.contributor.author
metadata.value: Musatova, Veronika V.
metadata.lang: -
metadata.name: dc.contributor.author
metadata.value: Ilinsky, Valery V.
metadata.lang: -
metadata.name: dc.contributor.author
metadata.value: Morozova, Anna Yu.
metadata.lang: -
metadata.name: dc.contributor.author
metadata.value: Bocharova, Mariia O.
metadata.lang: -
metadata.name: dc.contributor.author
metadata.value: Reznik, Aleksandr M.
metadata.lang: -
metadata.name: dc.contributor.author
metadata.value: Kostyuk, Georgiy P.
metadata.lang: -
metadata.name: dc.date.accessioned
metadata.value: 2018-04-25T10:18:22Z
metadata.lang: -
metadata.name: dc.date.available
metadata.value: 2018-04-25T10:18:22Z
metadata.lang: -
metadata.name: dc.date.issued
metadata.value: 2018-03
metadata.lang: -
metadata.name: dc.identifier.citation
metadata.value: Zakharova N. V., Nizamutdinov I. I., Musatova V. V., Ilinsky V. V., Morozova A. Yu., Bocharova M. O., Reznik A. M., Kostyuk G. P. Future directions in genome-wide association studies of schizophrenia spectrum disorders. Vestnik of Saint Petersburg University. Medicine, 2018, vol. 13, issue 1, pp. 72–82.
metadata.lang: en_GB
metadata.name: dc.identifier.other
metadata.value: 10.21638/11701/spbu11.2018.107
metadata.lang: -
metadata.name: dc.identifier.uri
metadata.value: http://hdl.handle.net/11701/9452
metadata.lang: -
metadata.name: dc.description.abstract
metadata.value: The rapid expansion of diagnostic technologies in general and of the genome-wide association
  studies method in particular brings us closer to the understanding of the etiopathogenetic
  fundamentals of endogenous mental disorders. The amount of accumulated experience in
  genome-wide association studies allows one to assess the importance of specific genetic
  markers in the development of the diseases of interest. The introduction of screening systems
  and the assessment of disease prognosis is yet to be implemented, due to conceptual and
  methodological contradictions. The present review aims at analyzing the current progress
  in the field of genetic studies of schizophrenia spectrum disorders. The prospects and
  limitations of existing methods and the obstacles to the efficient translational application of
  the achievements of GWAS and candidate gene studies are discussed. Along with the still poor
  understanding of the etiology and pathogenesis of schizophrenia spectrum disorders, such
  issues as the ongoing debate regarding the correct classification, as well as the large degree of
  symptom heterogeneity within this group of conditions, remain a cornerstone in biological
  research. A more accurate approach to phenotyping, including the application of deep phenotyping techniques, is required to form more homogenous samples for future genome-wide association and candidate gene studies of schizophrenia spectrum disorders.
metadata.lang: en_GB
metadata.name: dc.language.iso
metadata.value: en
metadata.lang: en_GB
metadata.name: dc.publisher
metadata.value: St Petersburg State University
metadata.lang: en_GB
metadata.name: dc.relation.ispartofseries
metadata.value: Vestnik of St Petersburg University. Medicine;Volume 13; Issue 1
metadata.lang: -
metadata.name: dc.subject
metadata.value: schizophrenia
metadata.lang: en_GB
metadata.name: dc.subject
metadata.value: genetic marker
metadata.lang: en_GB
metadata.name: dc.subject
metadata.value: single nucleotide polymorphism
metadata.lang: en_GB
metadata.name: dc.subject
metadata.value: genome-wide association study
metadata.lang: en_GB
metadata.name: dc.subject
metadata.value: phenotyping
metadata.lang: en_GB
metadata.name: dc.title
metadata.value: Future directions in genome-wide association studies of schizophrenia spectrum disorders
metadata.lang: en_GB
metadata.name: dc.type
metadata.value: Article
metadata.lang: en_GB
resources.filename: 07-Zakharova.pdf
resources.url: https://dspace.spbu.ru/bitstream/11701/9452/1/07-Zakharova.pdf
resources.format: Adobe PDF
resources.size: 670,37 kB