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The genetic validation of heterogeneity in schizophrenia
INTRODUCTION: Schizophrenia is a heritable disorder, however clear genetic architecture has not been detected. To overcome this state of uncertainty, the SZGene database has been established by including all published case-control genetic association studies appearing in peer-reviewed journals. In t...
Autores principales: | , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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BioMed Central
2011
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3198897/ https://www.ncbi.nlm.nih.gov/pubmed/21981786 http://dx.doi.org/10.1186/1744-9081-7-43 |
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author | Tsutsumi, Atsushi Glatt, Stephen J Kanazawa, Tetsufumi Kawashige, Seiya Uenishi, Hiroyuki Hokyo, Akira Kaneko, Takao Moritani, Makiko Kikuyama, Hiroki Koh, Jun Matsumura, Hitoshi Yoneda, Hiroshi |
author_facet | Tsutsumi, Atsushi Glatt, Stephen J Kanazawa, Tetsufumi Kawashige, Seiya Uenishi, Hiroyuki Hokyo, Akira Kaneko, Takao Moritani, Makiko Kikuyama, Hiroki Koh, Jun Matsumura, Hitoshi Yoneda, Hiroshi |
author_sort | Tsutsumi, Atsushi |
collection | PubMed |
description | INTRODUCTION: Schizophrenia is a heritable disorder, however clear genetic architecture has not been detected. To overcome this state of uncertainty, the SZGene database has been established by including all published case-control genetic association studies appearing in peer-reviewed journals. In the current study, we aimed to determine if genetic variants strongly suggested by SZGene are associated with risk of schizophrenia in our case-control samples of Japanese ancestry. In addition, by employing the additive model for aggregating the effect of seven variants, we aimed to verify the genetic heterogeneity of schizophrenia diagnosed by an operative diagnostic manual, the DSM-IV. METHODS: Each positively suggested genetic polymorphism was ranked according to its p-value, then the seven top-ranked variants (p < 0.0005) were selected from DRD2, DRD4, GRIN2B, TPH1, MTHFR, and DTNBP1 (February, 2007). 407 Schizophrenia cases and 384 controls participated in this study. To aggregate the vulnerability of the disorder based on the participants' genetic information, we calculated the "risk-index" by adding the number of genetic risk factors. RESULTS: No statistically significant deviation between cases and controls was observed in the genetic risk-index derived from all seven variants on the top-ranked polymorphisms. In fact, the average risk-index score in the schizophrenia group (6.5+/-1.57) was slightly lower than among controls (6.6+/-1.39). CONCLUSION: The current work illustrates the difficulty in identifying universal and definitive risk-conferring polymorphisms for schizophrenia. Our employed number of samples was small, so we can not preclude the possibility that some or all of these variants are minor risk factors for schizophrenia in the Japanese population. It is also important to aggregate the updated positive variants in the SZGene database when the replication work is conducted. |
format | Online Article Text |
id | pubmed-3198897 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2011 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-31988972011-10-23 The genetic validation of heterogeneity in schizophrenia Tsutsumi, Atsushi Glatt, Stephen J Kanazawa, Tetsufumi Kawashige, Seiya Uenishi, Hiroyuki Hokyo, Akira Kaneko, Takao Moritani, Makiko Kikuyama, Hiroki Koh, Jun Matsumura, Hitoshi Yoneda, Hiroshi Behav Brain Funct Research INTRODUCTION: Schizophrenia is a heritable disorder, however clear genetic architecture has not been detected. To overcome this state of uncertainty, the SZGene database has been established by including all published case-control genetic association studies appearing in peer-reviewed journals. In the current study, we aimed to determine if genetic variants strongly suggested by SZGene are associated with risk of schizophrenia in our case-control samples of Japanese ancestry. In addition, by employing the additive model for aggregating the effect of seven variants, we aimed to verify the genetic heterogeneity of schizophrenia diagnosed by an operative diagnostic manual, the DSM-IV. METHODS: Each positively suggested genetic polymorphism was ranked according to its p-value, then the seven top-ranked variants (p < 0.0005) were selected from DRD2, DRD4, GRIN2B, TPH1, MTHFR, and DTNBP1 (February, 2007). 407 Schizophrenia cases and 384 controls participated in this study. To aggregate the vulnerability of the disorder based on the participants' genetic information, we calculated the "risk-index" by adding the number of genetic risk factors. RESULTS: No statistically significant deviation between cases and controls was observed in the genetic risk-index derived from all seven variants on the top-ranked polymorphisms. In fact, the average risk-index score in the schizophrenia group (6.5+/-1.57) was slightly lower than among controls (6.6+/-1.39). CONCLUSION: The current work illustrates the difficulty in identifying universal and definitive risk-conferring polymorphisms for schizophrenia. Our employed number of samples was small, so we can not preclude the possibility that some or all of these variants are minor risk factors for schizophrenia in the Japanese population. It is also important to aggregate the updated positive variants in the SZGene database when the replication work is conducted. BioMed Central 2011-10-07 /pmc/articles/PMC3198897/ /pubmed/21981786 http://dx.doi.org/10.1186/1744-9081-7-43 Text en Copyright ©2011 Tsutsumi et al; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Tsutsumi, Atsushi Glatt, Stephen J Kanazawa, Tetsufumi Kawashige, Seiya Uenishi, Hiroyuki Hokyo, Akira Kaneko, Takao Moritani, Makiko Kikuyama, Hiroki Koh, Jun Matsumura, Hitoshi Yoneda, Hiroshi The genetic validation of heterogeneity in schizophrenia |
title | The genetic validation of heterogeneity in schizophrenia |
title_full | The genetic validation of heterogeneity in schizophrenia |
title_fullStr | The genetic validation of heterogeneity in schizophrenia |
title_full_unstemmed | The genetic validation of heterogeneity in schizophrenia |
title_short | The genetic validation of heterogeneity in schizophrenia |
title_sort | genetic validation of heterogeneity in schizophrenia |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3198897/ https://www.ncbi.nlm.nih.gov/pubmed/21981786 http://dx.doi.org/10.1186/1744-9081-7-43 |
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