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  4. Identifying gene targets for brain-related traits using transcriptomic and methylomic data from blood
 
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Identifying gene targets for brain-related traits using transcriptomic and methylomic data from blood
File(s)
s41467-018-04558-1.pdf (1.11 MB)
Published version
Author(s)
Qi, Ting
Wu, Yang
Zeng, Jian
Zhang, Futao
Xue, Angli
more
Type
Journal Article
Abstract
Understanding the difference in genetic regulation of gene expression between brain and blood is important for discovering genes for brain-related traits and disorders. Here, we estimate the correlation of genetic effects at the top-associated cis-expression or -DNA methylation (DNAm) quantitative trait loci (cis-eQTLs or cis-mQTLs) between brain and blood (r b ). Using publicly available data, we find that genetic effects at the top cis-eQTLs or mQTLs are highly correlated between independent brain and blood samples ( ̂ =0.70 for cis-eQTLs and ̂ =0.78 for cis-mQTLs). Using meta-analyzed brain cis-eQTL/mQTL data (n = 526 to 1194), we identify 61 genes and 167 DNAm sites associated with four brain-related phenotypes, most of which are a subset of the discoveries (97 genes and 295 DNAm sites) using data from blood with larger sample sizes (n = 1980 to 14,115). Our results demonstrate the gain of power in gene discovery for brain-related phenotypes using blood cis-eQTL/mQTL data with large sample sizes.
Date Issued
2018-12
Date Acceptance
2018-05-10
Citation
Nature Communications, 2018, 9 (1)
URI
http://hdl.handle.net/10044/1/64606
DOI
https://www.dx.doi.org/10.1038/s41467-018-04558-1
ISSN
2041-1723
Publisher
Nature Research (part of Springer Nature)
Journal / Book Title
Nature Communications
Volume
9
Issue
1
Copyright Statement
© 2018 The Author(s). 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/.
Subjects
MD Multidisciplinary
Publication Status
Published
Article Number
2282
Date Publish Online
2018-06-11
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