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Neuroinformatic analyses of common and distinct genetic components associated with major neuropsychiatric disorders
Major neuropsychiatric disorders are highly heritable, with mounting evidence suggesting that these disorders share overlapping sets of molecular and cellular underpinnings. In the current article we systematically test the degree of genetic commonality across six major neuropsychiatric disorders—at...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Frontiers Media S.A.
2014
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4222236/ https://www.ncbi.nlm.nih.gov/pubmed/25414627 http://dx.doi.org/10.3389/fnins.2014.00331 |
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author | Lotan, Amit Fenckova, Michaela Bralten, Janita Alttoa, Aet Dixson, Luanna Williams, Robert W. van der Voet, Monique |
author_facet | Lotan, Amit Fenckova, Michaela Bralten, Janita Alttoa, Aet Dixson, Luanna Williams, Robert W. van der Voet, Monique |
author_sort | Lotan, Amit |
collection | PubMed |
description | Major neuropsychiatric disorders are highly heritable, with mounting evidence suggesting that these disorders share overlapping sets of molecular and cellular underpinnings. In the current article we systematically test the degree of genetic commonality across six major neuropsychiatric disorders—attention deficit hyperactivity disorder (ADHD), anxiety disorders (Anx), autistic spectrum disorders (ASD), bipolar disorder (BD), major depressive disorder (MDD), and schizophrenia (SCZ). We curated a well-vetted list of genes based on large-scale human genetic studies based on the NHGRI catalog of published genome-wide association studies (GWAS). A total of 180 genes were accepted into the analysis on the basis of low but liberal GWAS p-values (<10(−5)). 22% of genes overlapped two or more disorders. The most widely shared subset of genes—common to five of six disorders–included ANK3, AS3MT, CACNA1C, CACNB2, CNNM2, CSMD1, DPCR1, ITIH3, NT5C2, PPP1R11, SYNE1, TCF4, TENM4, TRIM26, and ZNRD1. Using a suite of neuroinformatic resources, we showed that many of the shared genes are implicated in the postsynaptic density (PSD), expressed in immune tissues and co-expressed in developing human brain. Using a translational cross-species approach, we detected two distinct genetic components that were both shared by each of the six disorders; the 1st component is involved in CNS development, neural projections and synaptic transmission, while the 2nd is implicated in various cytoplasmic organelles and cellular processes. Combined, these genetic components account for 20–30% of the genetic load. The remaining risk is conferred by distinct, disorder-specific variants. Our systematic comparative analysis of shared and unique genetic factors highlights key gene sets and molecular processes that may ultimately translate into improved diagnosis and treatment of these debilitating disorders. |
format | Online Article Text |
id | pubmed-4222236 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-42222362014-11-20 Neuroinformatic analyses of common and distinct genetic components associated with major neuropsychiatric disorders Lotan, Amit Fenckova, Michaela Bralten, Janita Alttoa, Aet Dixson, Luanna Williams, Robert W. van der Voet, Monique Front Neurosci Genetics Major neuropsychiatric disorders are highly heritable, with mounting evidence suggesting that these disorders share overlapping sets of molecular and cellular underpinnings. In the current article we systematically test the degree of genetic commonality across six major neuropsychiatric disorders—attention deficit hyperactivity disorder (ADHD), anxiety disorders (Anx), autistic spectrum disorders (ASD), bipolar disorder (BD), major depressive disorder (MDD), and schizophrenia (SCZ). We curated a well-vetted list of genes based on large-scale human genetic studies based on the NHGRI catalog of published genome-wide association studies (GWAS). A total of 180 genes were accepted into the analysis on the basis of low but liberal GWAS p-values (<10(−5)). 22% of genes overlapped two or more disorders. The most widely shared subset of genes—common to five of six disorders–included ANK3, AS3MT, CACNA1C, CACNB2, CNNM2, CSMD1, DPCR1, ITIH3, NT5C2, PPP1R11, SYNE1, TCF4, TENM4, TRIM26, and ZNRD1. Using a suite of neuroinformatic resources, we showed that many of the shared genes are implicated in the postsynaptic density (PSD), expressed in immune tissues and co-expressed in developing human brain. Using a translational cross-species approach, we detected two distinct genetic components that were both shared by each of the six disorders; the 1st component is involved in CNS development, neural projections and synaptic transmission, while the 2nd is implicated in various cytoplasmic organelles and cellular processes. Combined, these genetic components account for 20–30% of the genetic load. The remaining risk is conferred by distinct, disorder-specific variants. Our systematic comparative analysis of shared and unique genetic factors highlights key gene sets and molecular processes that may ultimately translate into improved diagnosis and treatment of these debilitating disorders. Frontiers Media S.A. 2014-11-06 /pmc/articles/PMC4222236/ /pubmed/25414627 http://dx.doi.org/10.3389/fnins.2014.00331 Text en Copyright © 2014 Lotan, Fenckova, Bralten, Alttoa, Dixson, Williams and van der Voet. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Genetics Lotan, Amit Fenckova, Michaela Bralten, Janita Alttoa, Aet Dixson, Luanna Williams, Robert W. van der Voet, Monique Neuroinformatic analyses of common and distinct genetic components associated with major neuropsychiatric disorders |
title | Neuroinformatic analyses of common and distinct genetic components associated with major neuropsychiatric disorders |
title_full | Neuroinformatic analyses of common and distinct genetic components associated with major neuropsychiatric disorders |
title_fullStr | Neuroinformatic analyses of common and distinct genetic components associated with major neuropsychiatric disorders |
title_full_unstemmed | Neuroinformatic analyses of common and distinct genetic components associated with major neuropsychiatric disorders |
title_short | Neuroinformatic analyses of common and distinct genetic components associated with major neuropsychiatric disorders |
title_sort | neuroinformatic analyses of common and distinct genetic components associated with major neuropsychiatric disorders |
topic | Genetics |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4222236/ https://www.ncbi.nlm.nih.gov/pubmed/25414627 http://dx.doi.org/10.3389/fnins.2014.00331 |
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