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DOI | 10.1038/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
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ISSN | 2041-1723 |
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 |
URL | 查看原文 |
引用统计 | |
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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