Integrative analysis of omics summary data reveals putative mechanisms underlying complex traits

Yang Wu; Jian Zeng; Futao Zhang; Zhihong Zhu; Ting Qi; Zhili Zheng; Luke R. Lloyd-Jones; Riccardo E. Marioni; Nicholas G. Martin; Grant W. Montgomery; Ian J. Deary; Naomi R. Wray; Peter M. Visscher; Allan F. McRae; Jian Yang

doi:10.1038/s41467-018-03371-0

Nature Communications (Mar 2018)

Integrative analysis of omics summary data reveals putative mechanisms underlying complex traits

Yang Wu,
Jian Zeng,
Futao Zhang,
Zhihong Zhu,
Ting Qi,
Zhili Zheng,
Luke R. Lloyd-Jones,
Riccardo E. Marioni,
Nicholas G. Martin,
Grant W. Montgomery,
Ian J. Deary,
Naomi R. Wray,
Peter M. Visscher,
Allan F. McRae,
Jian Yang

Affiliations

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
Zhihong Zhu: Institute for Molecular Bioscience, The University of Queensland
Ting Qi: Institute for Molecular Bioscience, The University of Queensland
Zhili Zheng: Institute for Molecular Bioscience, The University of Queensland
Luke R. Lloyd-Jones: Institute for Molecular Bioscience, The University of Queensland
Riccardo E. Marioni: Medical Genetics Section, Centre for Genomics and Experimental Medicine, Institute of Genetics and Molecular Medicine, University of Edinburgh
Nicholas G. Martin: Genetics and Computational Biology, QIMR Berghofer Medical Research Institute
Grant W. Montgomery: Institute for Molecular Bioscience, The University of Queensland
Ian J. Deary: Centre for Cognitive Ageing and Cognitive Epidemiology, Department of Psychology, 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/s41467-018-03371-0
Journal volume & issue: Vol. 9, no. 1
pp. 1 – 14

Abstract

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The identification of the causal gene at a GWAS locus remains to be a challenging task. Here, using the SMR & HEIDI method to integrate GWAS, eQTL and mQTL data, Wu et al. map DNA methylation sites to the transcriptome and thereby prioritize functionally relevant genes for 12 human complex traits.

Published in Nature Communications

ISSN: 2041-1723 (Online)
Publisher: Nature Portfolio
Country of publisher: United Kingdom
LCC subjects: Science
Website: https://www.nature.com/ncomms/

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