Nature Communications (Jun 2018)
Identifying gene targets for brain-related traits using transcriptomic and methylomic data from blood
- 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
Affiliations
- Ting Qi
- Institute for Molecular Bioscience, The University of Queensland
- Yang Wu
- Institute for Molecular Bioscience, The University of Queensland
- Jian Zeng
- Institute for Molecular Bioscience, The University of Queensland
- Futao Zhang
- Institute for Molecular Bioscience, The University of Queensland
- Angli Xue
- Institute for Molecular Bioscience, The University of Queensland
- Longda Jiang
- Institute for Molecular Bioscience, The University of Queensland
- Zhihong Zhu
- Institute for Molecular Bioscience, The University of Queensland
- Kathryn Kemper
- Institute for Molecular Bioscience, The University of Queensland
- Loic Yengo
- Institute for Molecular Bioscience, The University of Queensland
- Zhili Zheng
- Institute for Molecular Bioscience, The University of Queensland
- eQTLGen Consortium
- Riccardo E. Marioni
- Medical Genetics Section, Centre for Genomic and Experimental Medicine, Institute of Genetics and Molecular Medicine, University of Edinburgh
- Grant W. Montgomery
- Institute for Molecular Bioscience, The University of Queensland
- Ian J. Deary
- Department of Psychology, Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh
- Naomi R. Wray
- Institute for Molecular Bioscience, The University of Queensland
- Peter M. Visscher
- Institute for Molecular Bioscience, The University of Queensland
- Allan F. McRae
- Institute for Molecular Bioscience, The University of Queensland
- Jian Yang
- Institute for Molecular Bioscience, The University of Queensland
- DOI
- https://doi.org/10.1038/s41467-018-04558-1
- Journal volume & issue
-
Vol. 9,
no. 1
pp. 1 – 12
Abstract
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.
