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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...

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Autores principales: 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.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Cold Spring Harbor Laboratory 2023
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.
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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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