Dataset Information

Identifying gene targets for brain-related traits using transcriptomic and methylomic data from blood.

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 ([Formula: see text] for cis-eQTLs and [Formula: see text] 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.

SUBMITTER: Qi T

PROVIDER: S-EPMC5995828 | biostudies-literature | 2018 Jun

REPOSITORIES: biostudies-literature

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Publications

Identifying gene targets for brain-related traits using transcriptomic and methylomic data from blood.

Qi Ting T Wu Yang Y Zeng Jian J Zhang Futao F Xue Angli A Jiang Longda L Zhu Zhihong Z Kemper Kathryn K Yengo Loic L Zheng Zhili Z Marioni Riccardo E RE Montgomery Grant W GW Deary Ian J IJ Wray Naomi R NR Visscher Peter M PM McRae Allan F AF Yang Jian J

Nature communications 20180611 1

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 <sub>b</sub> ). Using publicly available data, we find that genetic effects at the top cis-eQTLs or mQTLs are highly correlated between in ...[more]

PMID: 29891976

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Dataset Information

Identifying gene targets for brain-related traits using transcriptomic and methylomic data from blood.

Publications

Identifying gene targets for brain-related traits using transcriptomic and methylomic data from blood.

Similar Datasets

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