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Spatial fine-mapping for gene-by-environment effects identifies risk hot spots for schizophrenia

Spatial mapping is a promising strategy to investigate the mechanisms underlying the incidence of psychosis. We analyzed a case-cohort study (n = 24,028), drawn from the 1.47 million Danish persons born between 1981 and 2005, using a novel framework for decomposing the geospatial risk for schizophre...

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Autores principales: Fan, Chun Chieh, McGrath, John J., Appadurai, Vivek, Buil, Alfonso, Gandal, Michael J., Schork, Andrew J., Mortensen, Preben Bo, Agerbo, Esben, Geschwind, Sandy A., Geschwind, Daniel, Werge, Thomas, Thompson, Wesley K., Pedersen, Carsten Bøcker
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6294340/
https://www.ncbi.nlm.nih.gov/pubmed/30546018
http://dx.doi.org/10.1038/s41467-018-07708-7
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author Fan, Chun Chieh
McGrath, John J.
Appadurai, Vivek
Buil, Alfonso
Gandal, Michael J.
Schork, Andrew J.
Mortensen, Preben Bo
Agerbo, Esben
Geschwind, Sandy A.
Geschwind, Daniel
Werge, Thomas
Thompson, Wesley K.
Pedersen, Carsten Bøcker
author_facet Fan, Chun Chieh
McGrath, John J.
Appadurai, Vivek
Buil, Alfonso
Gandal, Michael J.
Schork, Andrew J.
Mortensen, Preben Bo
Agerbo, Esben
Geschwind, Sandy A.
Geschwind, Daniel
Werge, Thomas
Thompson, Wesley K.
Pedersen, Carsten Bøcker
author_sort Fan, Chun Chieh
collection PubMed
description Spatial mapping is a promising strategy to investigate the mechanisms underlying the incidence of psychosis. We analyzed a case-cohort study (n = 24,028), drawn from the 1.47 million Danish persons born between 1981 and 2005, using a novel framework for decomposing the geospatial risk for schizophrenia based on locale of upbringing and polygenic scores. Upbringing in a high environmental risk locale increases the risk for schizophrenia by 122%. Individuals living in a high gene-by-environmental risk locale have a 78% increased risk compared to those who have the same genetic liability but live in a low-risk locale. Effects of specific locales vary substantially within the most densely populated city of Denmark, with hazard ratios ranging from 0.26 to 9.26 for environment and from 0.20 to 5.95 for gene-by-environment. These findings indicate the critical synergism of gene and environment on the etiology of schizophrenia and demonstrate the potential of incorporating geolocation in genetic studies.
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spelling pubmed-62943402018-12-17 Spatial fine-mapping for gene-by-environment effects identifies risk hot spots for schizophrenia Fan, Chun Chieh McGrath, John J. Appadurai, Vivek Buil, Alfonso Gandal, Michael J. Schork, Andrew J. Mortensen, Preben Bo Agerbo, Esben Geschwind, Sandy A. Geschwind, Daniel Werge, Thomas Thompson, Wesley K. Pedersen, Carsten Bøcker Nat Commun Article Spatial mapping is a promising strategy to investigate the mechanisms underlying the incidence of psychosis. We analyzed a case-cohort study (n = 24,028), drawn from the 1.47 million Danish persons born between 1981 and 2005, using a novel framework for decomposing the geospatial risk for schizophrenia based on locale of upbringing and polygenic scores. Upbringing in a high environmental risk locale increases the risk for schizophrenia by 122%. Individuals living in a high gene-by-environmental risk locale have a 78% increased risk compared to those who have the same genetic liability but live in a low-risk locale. Effects of specific locales vary substantially within the most densely populated city of Denmark, with hazard ratios ranging from 0.26 to 9.26 for environment and from 0.20 to 5.95 for gene-by-environment. These findings indicate the critical synergism of gene and environment on the etiology of schizophrenia and demonstrate the potential of incorporating geolocation in genetic studies. Nature Publishing Group UK 2018-12-13 /pmc/articles/PMC6294340/ /pubmed/30546018 http://dx.doi.org/10.1038/s41467-018-07708-7 Text en © The Author(s) 2018 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Article
Fan, Chun Chieh
McGrath, John J.
Appadurai, Vivek
Buil, Alfonso
Gandal, Michael J.
Schork, Andrew J.
Mortensen, Preben Bo
Agerbo, Esben
Geschwind, Sandy A.
Geschwind, Daniel
Werge, Thomas
Thompson, Wesley K.
Pedersen, Carsten Bøcker
Spatial fine-mapping for gene-by-environment effects identifies risk hot spots for schizophrenia
title Spatial fine-mapping for gene-by-environment effects identifies risk hot spots for schizophrenia
title_full Spatial fine-mapping for gene-by-environment effects identifies risk hot spots for schizophrenia
title_fullStr Spatial fine-mapping for gene-by-environment effects identifies risk hot spots for schizophrenia
title_full_unstemmed Spatial fine-mapping for gene-by-environment effects identifies risk hot spots for schizophrenia
title_short Spatial fine-mapping for gene-by-environment effects identifies risk hot spots for schizophrenia
title_sort spatial fine-mapping for gene-by-environment effects identifies risk hot spots for schizophrenia
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6294340/
https://www.ncbi.nlm.nih.gov/pubmed/30546018
http://dx.doi.org/10.1038/s41467-018-07708-7
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