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Expression quantitative trait loci in the developing human brain and their enrichment in neuropsychiatric disorders

BACKGROUND: Genetic influences on gene expression in the human fetal brain plausibly impact upon a variety of postnatal brain-related traits, including susceptibility to neuropsychiatric disorders. However, to date, there have been no studies that have mapped genome-wide expression quantitative trai...

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Autores principales: O’Brien, Heath E., Hannon, Eilis, Hill, Matthew J., Toste, Carolina C., Robertson, Matthew J., Morgan, Joanne E., McLaughlin, Gemma, Lewis, Cathryn M., Schalkwyk, Leonard C., Hall, Lynsey S., Pardiñas, Antonio F., Owen, Michael J., O’Donovan, Michael C., Mill, Jonathan, Bray, Nicholas J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6231252/
https://www.ncbi.nlm.nih.gov/pubmed/30419947
http://dx.doi.org/10.1186/s13059-018-1567-1
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author O’Brien, Heath E.
Hannon, Eilis
Hill, Matthew J.
Toste, Carolina C.
Robertson, Matthew J.
Morgan, Joanne E.
McLaughlin, Gemma
Lewis, Cathryn M.
Schalkwyk, Leonard C.
Hall, Lynsey S.
Pardiñas, Antonio F.
Owen, Michael J.
O’Donovan, Michael C.
Mill, Jonathan
Bray, Nicholas J.
author_facet O’Brien, Heath E.
Hannon, Eilis
Hill, Matthew J.
Toste, Carolina C.
Robertson, Matthew J.
Morgan, Joanne E.
McLaughlin, Gemma
Lewis, Cathryn M.
Schalkwyk, Leonard C.
Hall, Lynsey S.
Pardiñas, Antonio F.
Owen, Michael J.
O’Donovan, Michael C.
Mill, Jonathan
Bray, Nicholas J.
author_sort O’Brien, Heath E.
collection PubMed
description BACKGROUND: Genetic influences on gene expression in the human fetal brain plausibly impact upon a variety of postnatal brain-related traits, including susceptibility to neuropsychiatric disorders. However, to date, there have been no studies that have mapped genome-wide expression quantitative trait loci (eQTL) specifically in the human prenatal brain. RESULTS: We performed deep RNA sequencing and genome-wide genotyping on a unique collection of 120 human brains from the second trimester of gestation to provide the first eQTL dataset derived exclusively from the human fetal brain. We identify high confidence cis-acting eQTL at the individual transcript as well as whole gene level, including many mapping to a common inversion polymorphism on chromosome 17q21. Fetal brain eQTL are enriched among risk variants for postnatal conditions including attention deficit hyperactivity disorder, schizophrenia, and bipolar disorder. We further identify changes in gene expression within the prenatal brain that potentially mediate risk for neuropsychiatric traits, including increased expression of C4A in association with genetic risk for schizophrenia, increased expression of LRRC57 in association with genetic risk for bipolar disorder, and altered expression of multiple genes within the chromosome 17q21 inversion in association with variants influencing the personality trait of neuroticism. CONCLUSIONS: We have mapped eQTL operating in the human fetal brain, providing evidence that these confer risk to certain neuropsychiatric disorders, and identifying gene expression changes that potentially mediate susceptibility to these conditions. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s13059-018-1567-1) contains supplementary material, which is available to authorized users.
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spelling pubmed-62312522018-11-19 Expression quantitative trait loci in the developing human brain and their enrichment in neuropsychiatric disorders O’Brien, Heath E. Hannon, Eilis Hill, Matthew J. Toste, Carolina C. Robertson, Matthew J. Morgan, Joanne E. McLaughlin, Gemma Lewis, Cathryn M. Schalkwyk, Leonard C. Hall, Lynsey S. Pardiñas, Antonio F. Owen, Michael J. O’Donovan, Michael C. Mill, Jonathan Bray, Nicholas J. Genome Biol Research BACKGROUND: Genetic influences on gene expression in the human fetal brain plausibly impact upon a variety of postnatal brain-related traits, including susceptibility to neuropsychiatric disorders. However, to date, there have been no studies that have mapped genome-wide expression quantitative trait loci (eQTL) specifically in the human prenatal brain. RESULTS: We performed deep RNA sequencing and genome-wide genotyping on a unique collection of 120 human brains from the second trimester of gestation to provide the first eQTL dataset derived exclusively from the human fetal brain. We identify high confidence cis-acting eQTL at the individual transcript as well as whole gene level, including many mapping to a common inversion polymorphism on chromosome 17q21. Fetal brain eQTL are enriched among risk variants for postnatal conditions including attention deficit hyperactivity disorder, schizophrenia, and bipolar disorder. We further identify changes in gene expression within the prenatal brain that potentially mediate risk for neuropsychiatric traits, including increased expression of C4A in association with genetic risk for schizophrenia, increased expression of LRRC57 in association with genetic risk for bipolar disorder, and altered expression of multiple genes within the chromosome 17q21 inversion in association with variants influencing the personality trait of neuroticism. CONCLUSIONS: We have mapped eQTL operating in the human fetal brain, providing evidence that these confer risk to certain neuropsychiatric disorders, and identifying gene expression changes that potentially mediate susceptibility to these conditions. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s13059-018-1567-1) contains supplementary material, which is available to authorized users. BioMed Central 2018-11-12 /pmc/articles/PMC6231252/ /pubmed/30419947 http://dx.doi.org/10.1186/s13059-018-1567-1 Text en © The Author(s). 2018 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided 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 Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research
O’Brien, Heath E.
Hannon, Eilis
Hill, Matthew J.
Toste, Carolina C.
Robertson, Matthew J.
Morgan, Joanne E.
McLaughlin, Gemma
Lewis, Cathryn M.
Schalkwyk, Leonard C.
Hall, Lynsey S.
Pardiñas, Antonio F.
Owen, Michael J.
O’Donovan, Michael C.
Mill, Jonathan
Bray, Nicholas J.
Expression quantitative trait loci in the developing human brain and their enrichment in neuropsychiatric disorders
title Expression quantitative trait loci in the developing human brain and their enrichment in neuropsychiatric disorders
title_full Expression quantitative trait loci in the developing human brain and their enrichment in neuropsychiatric disorders
title_fullStr Expression quantitative trait loci in the developing human brain and their enrichment in neuropsychiatric disorders
title_full_unstemmed Expression quantitative trait loci in the developing human brain and their enrichment in neuropsychiatric disorders
title_short Expression quantitative trait loci in the developing human brain and their enrichment in neuropsychiatric disorders
title_sort expression quantitative trait loci in the developing human brain and their enrichment in neuropsychiatric disorders
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6231252/
https://www.ncbi.nlm.nih.gov/pubmed/30419947
http://dx.doi.org/10.1186/s13059-018-1567-1
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