Integrating transcriptomics, metabolomics, and GWAS helps reveal molecular mechanisms for metabolite levels and disease risk

Authors

Xianyong Yin, University of Michigan - Ann Arbor
Adam E Locke, Washington University School of Medicine in St. Louis
Nathan O Stitziel, Washington University School of Medicine in St. Louis
et al.

Journal

American Journal of Human Genetics

Publication Date

10-6-2022

Volume

109

Issue

10

First Page

1727

Last Page

1741

Document Type

Open Access Publication

DOI

10.1016/j.ajhg.2022.08.007

Rights and Permissions

Yin X, Bose D, Kwon A, Hanks SC, Jackson AU, Stringham HM, Welch R, Oravilahti A, Fernandes Silva L; FinnGen; Locke AE, Fuchsberger C, Service SK, Erdos MR, Bonnycastle LL, Kuusisto J, Stitziel NO, Hall IM, Morrison J, Ripatti S, Palotie A, Freimer NB, Collins FS, Mohlke KL, Scott LJ, Fauman EB, Burant C, Boehnke M, Laakso M, Wen X. Integrating transcriptomics, metabolomics, and GWAS helps reveal molecular mechanisms for metabolite levels and disease risk. Am J Hum Genet. 2022 Oct 6;109(10):1727-1741. doi: 10.1016/j.ajhg.2022.08.007. Copyright 2022 The Author(s). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).

Recommended Citation

Yin, Xianyong; Locke, Adam E; Stitziel, Nathan O; and et al., "Integrating transcriptomics, metabolomics, and GWAS helps reveal molecular mechanisms for metabolite levels and disease risk." American Journal of Human Genetics. 109, 10. 1727 - 1741. (2022).
https://digitalcommons.wustl.edu/oa_4/1417

Department

ICTS (Institute of Clinical and Translational Sciences)

Additional Links

Supplemental material is available for this article at publisher site.