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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...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2020
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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. |
format | Online Article Text |
id | pubmed-7017322 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
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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