Article
Details
Citation
Timmons JA, Atherton PJ, Larsson O, Sood S, Blokhin IO, Brogan RJ, Volmar C, Josse AR, Slentz C, Wahlestedt C, Phillips SM, Phillips BE, Gallagher IJ & Kraus WE (2018) A coding and non-coding transcriptomic perspective on the genomics of human metabolic disease. Nucleic Acids Research, 46 (15), pp. 7772-7792. https://doi.org/10.1093/nar/gky570
Abstract
Genome-wide association studies (GWAS), relying on hundreds of thousands of individuals, have revealed > 200 genomic loci linked to metabolic disease (MD). Loss of insulin sensitivity (IS) is a key component of MD and we hypothesized that discovery of a robust IS transcriptome would help reveal the underlying genomic structure of MD. Using 1,012 human skeletal muscle samples, detailed physiology and a tissue-optimized approach for the quantification of coding (> 18,000) and non-coding (> 15,000) RNA (ncRNA), we identified 332 fasting IS-related genes (CORE-IS). Over 200 had a proven role in the biochemistry of insulin and/or metabolism or were located at GWAS MD loci. Over 50% of the CORE-IS genes responded to clinical treatment; 16 quantitatively tracking changes in IS across four independent studies (P = 0.0000053: negatively: AGL, G0S2, KPNA2, PGM2, RND3 and TSPAN9 and positively: ALDH6A1, DHTKD1, ECHDC3, MCCC1, OARD1, PCYT2, PRRX1, SGCG, SLC43A1 and SMIM8). A network of ncRNA positively related to IS and interacted with RNA coding for viral response proteins (P < 1 × 10?48), while reduced amino acid catabolic gene expression occurred without a change in expression of oxidative-phosphorylation genes. We illustrate that combining in-depth physiological phenotyping with robust RNA profiling methods, identifies molecular networks which are highly consistent with the genetics and biochemistry of human metabolic disease.
Keywords
genomics;
Journal
Nucleic Acids Research: Volume 46, Issue 15
Status | Published |
---|---|
Funders | |
Publication date | 06/09/2018 |
Publication date online | 09/07/2018 |
Date accepted by journal | 13/06/2018 |
URL | |
ISSN | 0305-1048 |
eISSN | 1362-4962 |