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DOI10.1038/s41467-018-06716-x
Identifying gene targets for brain-related traits using transcriptomic and methylomic data from blood
Qi, Ting1; Wu, Yang1; Zeng, Jian1; Zhang, Futao1,2; Xue, Angli1; Jiang, Longda1; Zhu, Zhihong1; Kemper, Kathryn1; Yengo, Loic1; Zheng, Zhili3; Marioni, Riccardo E.4,5; Montgomery, Grant W.1; Deary, Ian J.5; Wray, Naomi R.1,2; Visscher, Peter M.1,2; McRae, Allan F.1; Yang, Jian1,2,3
2018-06-11
发表期刊NATURE COMMUNICATIONS
ISSN2041-1723
出版年2018
卷号9
文章类型Article
语种英语
国家Australia; Peoples R China; Scotland
英文摘要

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 ((r) over cap (b) = 0.70 for ciseQTLs and (r) over cap (b) = 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.


领域资源环境
收录类别SCI-E
WOS记录号WOS:000434781600022
WOS关键词GENOME-WIDE ASSOCIATION ; COMPLEX TRAITS ; DNA METHYLATION ; OVERLAPPING SUBJECTS ; INTEGRATIVE ANALYSIS ; NONCODING VARIATION ; PERIPHERAL-BLOOD ; DISEASE VARIANTS ; GWAS DISCOVERY ; EXPRESSION
WOS类目Multidisciplinary Sciences
WOS研究方向Science & Technology - Other Topics
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文献类型期刊论文
条目标识符http://119.78.100.173/C666/handle/2XK7JSWQ/204042
专题资源环境科学
作者单位1.Univ Queensland, Inst Mol Biosci, Brisbane, Qld 4072, Australia;
2.Univ Queensland, Queensland Brain Inst, Brisbane, Qld 4072, Australia;
3.Wenzhou Med Univ, Sch Ophthalmol & Optometry, Eye Hosp, Wenzhou 325027, Zhejiang, Peoples R China;
4.Univ Edinburgh, Inst Genet & Mol Med, Med Genet Sect, Ctr Genom & Expt Med, Edinburgh EH4 2XU, Midlothian, Scotland;
5.Univ Edinburgh, Dept Psychol, Ctr Cognit Ageing & Cognit Epidemiol, 7 George Sq, Edinburgh EH8 9JZ, Midlothian, Scotland
推荐引用方式
GB/T 7714
Qi, Ting,Wu, Yang,Zeng, Jian,et al. Identifying gene targets for brain-related traits using transcriptomic and methylomic data from blood[J]. NATURE COMMUNICATIONS,2018,9.
APA Qi, Ting.,Wu, Yang.,Zeng, Jian.,Zhang, Futao.,Xue, Angli.,...&Yang, Jian.(2018).Identifying gene targets for brain-related traits using transcriptomic and methylomic data from blood.NATURE COMMUNICATIONS,9.
MLA Qi, Ting,et al."Identifying gene targets for brain-related traits using transcriptomic and methylomic data from blood".NATURE COMMUNICATIONS 9(2018).
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