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Novel Approaches for Identifying the Molecular Background of Schizophrenia

Recent advances in psychiatric genetics have led to the discovery of dozens of genomic loci associated with schizophrenia. However, a gap exists between the detection of genetic associations and understanding the underlying molecular mechanisms. This review describes the basic approaches used in the...

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Autores principales: Golov, Arkadiy K., Kondratyev, Nikolay V., Kostyuk, George P., Golimbet, Vera E.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7017322/
https://www.ncbi.nlm.nih.gov/pubmed/31963710
http://dx.doi.org/10.3390/cells9010246
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author Golov, Arkadiy K.
Kondratyev, Nikolay V.
Kostyuk, George P.
Golimbet, Vera E.
author_facet Golov, Arkadiy K.
Kondratyev, Nikolay V.
Kostyuk, George P.
Golimbet, Vera E.
author_sort Golov, Arkadiy K.
collection PubMed
description Recent advances in psychiatric genetics have led to the discovery of dozens of genomic loci associated with schizophrenia. However, a gap exists between the detection of genetic associations and understanding the underlying molecular mechanisms. This review describes the basic approaches used in the so-called post-GWAS studies to generate biological interpretation of the existing population genetic data, including both molecular (creation and analysis of knockout animals, exploration of the transcriptional effects of common variants in human brain cells) and computational (fine-mapping of causal variability, gene set enrichment analysis, partitioned heritability analysis) methods. The results of the crucial studies, in which these approaches were used to uncover the molecular and neurobiological basis of the disease, are also reported.
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spelling pubmed-70173222020-02-28 Novel Approaches for Identifying the Molecular Background of Schizophrenia Golov, Arkadiy K. Kondratyev, Nikolay V. Kostyuk, George P. Golimbet, Vera E. Cells Review Recent advances in psychiatric genetics have led to the discovery of dozens of genomic loci associated with schizophrenia. However, a gap exists between the detection of genetic associations and understanding the underlying molecular mechanisms. This review describes the basic approaches used in the so-called post-GWAS studies to generate biological interpretation of the existing population genetic data, including both molecular (creation and analysis of knockout animals, exploration of the transcriptional effects of common variants in human brain cells) and computational (fine-mapping of causal variability, gene set enrichment analysis, partitioned heritability analysis) methods. The results of the crucial studies, in which these approaches were used to uncover the molecular and neurobiological basis of the disease, are also reported. MDPI 2020-01-18 /pmc/articles/PMC7017322/ /pubmed/31963710 http://dx.doi.org/10.3390/cells9010246 Text en © 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Review
Golov, Arkadiy K.
Kondratyev, Nikolay V.
Kostyuk, George P.
Golimbet, Vera E.
Novel Approaches for Identifying the Molecular Background of Schizophrenia
title Novel Approaches for Identifying the Molecular Background of Schizophrenia
title_full Novel Approaches for Identifying the Molecular Background of Schizophrenia
title_fullStr Novel Approaches for Identifying the Molecular Background of Schizophrenia
title_full_unstemmed Novel Approaches for Identifying the Molecular Background of Schizophrenia
title_short Novel Approaches for Identifying the Molecular Background of Schizophrenia
title_sort novel approaches for identifying the molecular background of schizophrenia
topic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7017322/
https://www.ncbi.nlm.nih.gov/pubmed/31963710
http://dx.doi.org/10.3390/cells9010246
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