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...

Full description

Bibliographic Details
Main Authors:	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
Format:	Article
Language:	English
Published:	Nature Publishing Group 2018-06-01
Series:	Nature Communications
Online Access:	https://doi.org/10.1038/s41467-018-04558-1

id	doaj-a6120d781df04a21806a6667b60aa876
record_format	Article
spelling	doaj-a6120d781df04a21806a6667b60aa8762021-05-11T10:18:23ZengNature Publishing GroupNature Communications2041-17232018-06-019111210.1038/s41467-018-04558-1Identifying gene targets for brain-related traits using transcriptomic and methylomic data from bloodTing Qi0Yang Wu1Jian Zeng2Futao Zhang3Angli Xue4Longda Jiang5Zhihong Zhu6Kathryn Kemper7Loic Yengo8Zhili Zheng9eQTLGen ConsortiumRiccardo E. Marioni10Grant W. Montgomery11Ian J. Deary12Naomi R. Wray13Peter M. Visscher14Allan F. McRae15Jian Yang16Institute for Molecular Bioscience, The University of QueenslandInstitute for Molecular Bioscience, The University of QueenslandInstitute for Molecular Bioscience, The University of QueenslandInstitute for Molecular Bioscience, The University of QueenslandInstitute for Molecular Bioscience, The University of QueenslandInstitute for Molecular Bioscience, The University of QueenslandInstitute for Molecular Bioscience, The University of QueenslandInstitute for Molecular Bioscience, The University of QueenslandInstitute for Molecular Bioscience, The University of QueenslandInstitute for Molecular Bioscience, The University of QueenslandMedical Genetics Section, Centre for Genomic and Experimental Medicine, Institute of Genetics and Molecular Medicine, University of EdinburghInstitute for Molecular Bioscience, The University of QueenslandDepartment of Psychology, Centre for Cognitive Ageing and Cognitive Epidemiology, University of EdinburghInstitute for Molecular Bioscience, The University of QueenslandInstitute for Molecular Bioscience, The University of QueenslandInstitute for Molecular Bioscience, The University of QueenslandInstitute for Molecular Bioscience, The University of QueenslandTo 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.https://doi.org/10.1038/s41467-018-04558-1
collection	DOAJ
language	English
format	Article
sources	DOAJ
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
spellingShingle	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 Nature Communications
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 Publishing Group
series	Nature Communications
issn	2041-1723
publishDate	2018-06-01
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.
url	https://doi.org/10.1038/s41467-018-04558-1
work_keys_str_mv	AT tingqi identifyinggenetargetsforbrainrelatedtraitsusingtranscriptomicandmethylomicdatafromblood AT yangwu identifyinggenetargetsforbrainrelatedtraitsusingtranscriptomicandmethylomicdatafromblood AT jianzeng identifyinggenetargetsforbrainrelatedtraitsusingtranscriptomicandmethylomicdatafromblood AT futaozhang identifyinggenetargetsforbrainrelatedtraitsusingtranscriptomicandmethylomicdatafromblood AT anglixue identifyinggenetargetsforbrainrelatedtraitsusingtranscriptomicandmethylomicdatafromblood AT longdajiang identifyinggenetargetsforbrainrelatedtraitsusingtranscriptomicandmethylomicdatafromblood AT zhihongzhu identifyinggenetargetsforbrainrelatedtraitsusingtranscriptomicandmethylomicdatafromblood AT kathrynkemper identifyinggenetargetsforbrainrelatedtraitsusingtranscriptomicandmethylomicdatafromblood AT loicyengo identifyinggenetargetsforbrainrelatedtraitsusingtranscriptomicandmethylomicdatafromblood AT zhilizheng identifyinggenetargetsforbrainrelatedtraitsusingtranscriptomicandmethylomicdatafromblood AT eqtlgenconsortium identifyinggenetargetsforbrainrelatedtraitsusingtranscriptomicandmethylomicdatafromblood AT riccardoemarioni identifyinggenetargetsforbrainrelatedtraitsusingtranscriptomicandmethylomicdatafromblood AT grantwmontgomery identifyinggenetargetsforbrainrelatedtraitsusingtranscriptomicandmethylomicdatafromblood AT ianjdeary identifyinggenetargetsforbrainrelatedtraitsusingtranscriptomicandmethylomicdatafromblood AT naomirwray identifyinggenetargetsforbrainrelatedtraitsusingtranscriptomicandmethylomicdatafromblood AT petermvisscher identifyinggenetargetsforbrainrelatedtraitsusingtranscriptomicandmethylomicdatafromblood AT allanfmcrae identifyinggenetargetsforbrainrelatedtraitsusingtranscriptomicandmethylomicdatafromblood AT jianyang identifyinggenetargetsforbrainrelatedtraitsusingtranscriptomicandmethylomicdatafromblood
_version_	1721448420011409408

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

Similar Items