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Cell type and condition specific functional annotation of schizophrenia associated non-coding genetic variants
Schizophrenia (SCZ) is a highly polygenic disease and genome wide association studies have identified thousands of genetic variants that are statistically associated with this psychiatric disorder. However, our ability to translate these associations into insights on the disease mechanisms has been...
Autores principales: | , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Cold Spring Harbor Laboratory
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10326990/ https://www.ncbi.nlm.nih.gov/pubmed/37425902 http://dx.doi.org/10.1101/2023.06.27.545266 |
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author | Rummel, Christine K. Gagliardi, Miriam Herholt, Alexander Ahmad, Ruhel Murek, Vanessa Weigert, Liesa Hausruckinger, Anna Maidl, Susanne Jimenez-Barron, Laura Trastulla, Lucia Eder, Mathias Rossner, Moritz Ziller, Michael J. |
author_facet | Rummel, Christine K. Gagliardi, Miriam Herholt, Alexander Ahmad, Ruhel Murek, Vanessa Weigert, Liesa Hausruckinger, Anna Maidl, Susanne Jimenez-Barron, Laura Trastulla, Lucia Eder, Mathias Rossner, Moritz Ziller, Michael J. |
author_sort | Rummel, Christine K. |
collection | PubMed |
description | Schizophrenia (SCZ) is a highly polygenic disease and genome wide association studies have identified thousands of genetic variants that are statistically associated with this psychiatric disorder. However, our ability to translate these associations into insights on the disease mechanisms has been challenging since the causal genetic variants, their molecular function and their target genes remain largely unknown. In order to address these questions, we established a functional genomics pipeline in combination with induced pluripotent stem cell technology to functionally characterize ~35,000 non-coding genetic variants associated with schizophrenia along with their target genes. This analysis identified a set of 620 (1.7%) single nucleotide polymorphisms as functional on a molecular level in a highly cell type and condition specific fashion. These results provide a high-resolution map of functional variant-gene combinations and offer comprehensive biological insights into the developmental context and stimulation dependent molecular processes modulated by SCZ associated genetic variation. |
format | Online Article Text |
id | pubmed-10326990 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Cold Spring Harbor Laboratory |
record_format | MEDLINE/PubMed |
spelling | pubmed-103269902023-07-08 Cell type and condition specific functional annotation of schizophrenia associated non-coding genetic variants Rummel, Christine K. Gagliardi, Miriam Herholt, Alexander Ahmad, Ruhel Murek, Vanessa Weigert, Liesa Hausruckinger, Anna Maidl, Susanne Jimenez-Barron, Laura Trastulla, Lucia Eder, Mathias Rossner, Moritz Ziller, Michael J. bioRxiv Article Schizophrenia (SCZ) is a highly polygenic disease and genome wide association studies have identified thousands of genetic variants that are statistically associated with this psychiatric disorder. However, our ability to translate these associations into insights on the disease mechanisms has been challenging since the causal genetic variants, their molecular function and their target genes remain largely unknown. In order to address these questions, we established a functional genomics pipeline in combination with induced pluripotent stem cell technology to functionally characterize ~35,000 non-coding genetic variants associated with schizophrenia along with their target genes. This analysis identified a set of 620 (1.7%) single nucleotide polymorphisms as functional on a molecular level in a highly cell type and condition specific fashion. These results provide a high-resolution map of functional variant-gene combinations and offer comprehensive biological insights into the developmental context and stimulation dependent molecular processes modulated by SCZ associated genetic variation. Cold Spring Harbor Laboratory 2023-06-27 /pmc/articles/PMC10326990/ /pubmed/37425902 http://dx.doi.org/10.1101/2023.06.27.545266 Text en https://creativecommons.org/licenses/by-nd/4.0/This work is licensed under a Creative Commons Attribution-NoDerivatives 4.0 International License (https://creativecommons.org/licenses/by-nd/4.0/) , which allows reusers to copy and distribute the material in any medium or format in unadapted form only, and only so long as attribution is given to the creator. The license allows for commercial use. |
spellingShingle | Article Rummel, Christine K. Gagliardi, Miriam Herholt, Alexander Ahmad, Ruhel Murek, Vanessa Weigert, Liesa Hausruckinger, Anna Maidl, Susanne Jimenez-Barron, Laura Trastulla, Lucia Eder, Mathias Rossner, Moritz Ziller, Michael J. Cell type and condition specific functional annotation of schizophrenia associated non-coding genetic variants |
title | Cell type and condition specific functional annotation of schizophrenia associated non-coding genetic variants |
title_full | Cell type and condition specific functional annotation of schizophrenia associated non-coding genetic variants |
title_fullStr | Cell type and condition specific functional annotation of schizophrenia associated non-coding genetic variants |
title_full_unstemmed | Cell type and condition specific functional annotation of schizophrenia associated non-coding genetic variants |
title_short | Cell type and condition specific functional annotation of schizophrenia associated non-coding genetic variants |
title_sort | cell type and condition specific functional annotation of schizophrenia associated non-coding genetic variants |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10326990/ https://www.ncbi.nlm.nih.gov/pubmed/37425902 http://dx.doi.org/10.1101/2023.06.27.545266 |
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