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

To comprehend the genetic regulatory mechanisms underlying brain-related traits in humans, Qi et al. estimate the correlation of expression and DNA methylation QTL effects in cis between blood and brain and show that using blood eQTL/mQTL data of large sample size can increase power in gene discove...

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Autores principales:	Ting Qi, Yang Wu, Jian Zeng, Futao Zhang, Angli Xue, Longda Jiang, Zhihong Zhu, Kathryn Kemper, Loic Yengo, Zhili Zheng, eQTLGen Consortium, Riccardo E. Marioni, Grant W. Montgomery, Ian J. Deary, Naomi R. Wray, Peter M. Visscher, Allan F. McRae, Jian Yang
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2018
Materias:	Science Q
Acceso en línea:	https://doaj.org/article/a6120d781df04a21806a6667b60aa876
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spelling	oai:doaj.org-article:a6120d781df04a21806a6667b60aa8762021-12-02T16:49:22ZIdentifying gene targets for brain-related traits using transcriptomic and methylomic data from blood10.1038/s41467-018-04558-12041-1723https://doaj.org/article/a6120d781df04a21806a6667b60aa8762018-06-01T00:00:00Zhttps://doi.org/10.1038/s41467-018-04558-1https://doaj.org/toc/2041-1723To comprehend the genetic regulatory mechanisms underlying brain-related traits in humans, Qi et al. estimate the correlation of expression and DNA methylation QTL effects in cis between blood and brain and show that using blood eQTL/mQTL data of large sample size can increase power in gene discovery for brain-related traits and diseases.Ting QiYang WuJian ZengFutao ZhangAngli XueLongda JiangZhihong ZhuKathryn KemperLoic YengoZhili ZhengeQTLGen ConsortiumRiccardo E. MarioniGrant W. MontgomeryIan J. DearyNaomi R. WrayPeter M. VisscherAllan F. McRaeJian YangNature PortfolioarticleScienceQENNature Communications, Vol 9, Iss 1, Pp 1-12 (2018)
institution	DOAJ
collection	DOAJ
language	EN
topic	Science Q
spellingShingle	Science Q Ting Qi Yang Wu Jian Zeng Futao Zhang Angli Xue Longda Jiang Zhihong Zhu Kathryn Kemper Loic Yengo Zhili Zheng eQTLGen Consortium Riccardo E. Marioni Grant W. Montgomery Ian J. Deary Naomi R. Wray Peter M. Visscher Allan F. McRae Jian Yang Identifying gene targets for brain-related traits using transcriptomic and methylomic data from blood
description	To comprehend the genetic regulatory mechanisms underlying brain-related traits in humans, Qi et al. estimate the correlation of expression and DNA methylation QTL effects in cis between blood and brain and show that using blood eQTL/mQTL data of large sample size can increase power in gene discovery for brain-related traits and diseases.
format	article
author	Ting Qi Yang Wu Jian Zeng Futao Zhang Angli Xue Longda Jiang Zhihong Zhu Kathryn Kemper Loic Yengo Zhili Zheng eQTLGen Consortium Riccardo E. Marioni Grant W. Montgomery Ian J. Deary Naomi R. Wray Peter M. Visscher Allan F. McRae Jian Yang
author_facet	Ting Qi Yang Wu Jian Zeng Futao Zhang Angli Xue Longda Jiang Zhihong Zhu Kathryn Kemper Loic Yengo Zhili Zheng eQTLGen Consortium Riccardo E. Marioni Grant W. Montgomery Ian J. Deary Naomi R. Wray Peter M. Visscher Allan F. McRae Jian Yang
author_sort	Ting Qi
title	Identifying gene targets for brain-related traits using transcriptomic and methylomic data from blood
title_short	Identifying gene targets for brain-related traits using transcriptomic and methylomic data from blood
title_full	Identifying gene targets for brain-related traits using transcriptomic and methylomic data from blood
title_fullStr	Identifying gene targets for brain-related traits using transcriptomic and methylomic data from blood
title_full_unstemmed	Identifying gene targets for brain-related traits using transcriptomic and methylomic data from blood
title_sort	identifying gene targets for brain-related traits using transcriptomic and methylomic data from blood
publisher	Nature Portfolio
publishDate	2018
url	https://doaj.org/article/a6120d781df04a21806a6667b60aa876
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Identifying gene targets for brain-related traits using transcriptomic and methylomic data from blood

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