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Genetic regulation of mouse liver metabolite levels
We profiled and analyzed 283 metabolites representing eight major classes of molecules including Lipids, Carbohydrates, Amino Acids, Peptides, Xenobiotics, Vitamins and Cofactors, Energy Metabolism, and Nucleotides in mouse liver of 104 inbred and recombinant inbred strains. We find that metabolites...
Autores principales: | , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
European Molecular Biology Organization
2014
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4188043/ https://www.ncbi.nlm.nih.gov/pubmed/24860088 http://dx.doi.org/10.15252/msb.20135004 |
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author | Ghazalpour, Anatole Bennett, Brian J Shih, Diana Che, Nam Orozco, Luz Pan, Calvin Hagopian, Raffi He, Aiqing Kayne, Paul Yang, Wen‐pin Kirchgessner, Todd Lusis, Aldons J |
author_facet | Ghazalpour, Anatole Bennett, Brian J Shih, Diana Che, Nam Orozco, Luz Pan, Calvin Hagopian, Raffi He, Aiqing Kayne, Paul Yang, Wen‐pin Kirchgessner, Todd Lusis, Aldons J |
author_sort | Ghazalpour, Anatole |
collection | PubMed |
description | We profiled and analyzed 283 metabolites representing eight major classes of molecules including Lipids, Carbohydrates, Amino Acids, Peptides, Xenobiotics, Vitamins and Cofactors, Energy Metabolism, and Nucleotides in mouse liver of 104 inbred and recombinant inbred strains. We find that metabolites exhibit a wide range of variation, as has been previously observed with metabolites in blood serum. Using genome‐wide association analysis, we mapped 40% of the quantified metabolites to at least one locus in the genome and for 75% of the loci mapped we identified at least one candidate gene by local expression QTL analysis of the transcripts. Moreover, we validated 2 of 3 of the significant loci examined by adenoviral overexpression of the genes in mice. In our GWAS results, we find that at significant loci the peak markers explained on average between 20 and 40% of variation in the metabolites. Moreover, 39% of loci found to be regulating liver metabolites in mice were also found in human GWAS results for serum metabolites, providing support for similarity in genetic regulation of metabolites between mice and human. We also integrated the metabolomic data with transcriptomic and clinical phenotypic data to evaluate the extent of co‐variation across various biological scales. |
format | Online Article Text |
id | pubmed-4188043 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | European Molecular Biology Organization |
record_format | MEDLINE/PubMed |
spelling | pubmed-41880432014-10-08 Genetic regulation of mouse liver metabolite levels Ghazalpour, Anatole Bennett, Brian J Shih, Diana Che, Nam Orozco, Luz Pan, Calvin Hagopian, Raffi He, Aiqing Kayne, Paul Yang, Wen‐pin Kirchgessner, Todd Lusis, Aldons J Mol Syst Biol Articles We profiled and analyzed 283 metabolites representing eight major classes of molecules including Lipids, Carbohydrates, Amino Acids, Peptides, Xenobiotics, Vitamins and Cofactors, Energy Metabolism, and Nucleotides in mouse liver of 104 inbred and recombinant inbred strains. We find that metabolites exhibit a wide range of variation, as has been previously observed with metabolites in blood serum. Using genome‐wide association analysis, we mapped 40% of the quantified metabolites to at least one locus in the genome and for 75% of the loci mapped we identified at least one candidate gene by local expression QTL analysis of the transcripts. Moreover, we validated 2 of 3 of the significant loci examined by adenoviral overexpression of the genes in mice. In our GWAS results, we find that at significant loci the peak markers explained on average between 20 and 40% of variation in the metabolites. Moreover, 39% of loci found to be regulating liver metabolites in mice were also found in human GWAS results for serum metabolites, providing support for similarity in genetic regulation of metabolites between mice and human. We also integrated the metabolomic data with transcriptomic and clinical phenotypic data to evaluate the extent of co‐variation across various biological scales. European Molecular Biology Organization 2014-05-23 /pmc/articles/PMC4188043/ /pubmed/24860088 http://dx.doi.org/10.15252/msb.20135004 Text en © 2014 The Authors. Published under the terms of the CC BY 4.0 license This is an open access article under the terms of the Creative Commons Attribution 4.0 (http://creativecommons.org/licenses/by/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Articles Ghazalpour, Anatole Bennett, Brian J Shih, Diana Che, Nam Orozco, Luz Pan, Calvin Hagopian, Raffi He, Aiqing Kayne, Paul Yang, Wen‐pin Kirchgessner, Todd Lusis, Aldons J Genetic regulation of mouse liver metabolite levels |
title | Genetic regulation of mouse liver metabolite levels |
title_full | Genetic regulation of mouse liver metabolite levels |
title_fullStr | Genetic regulation of mouse liver metabolite levels |
title_full_unstemmed | Genetic regulation of mouse liver metabolite levels |
title_short | Genetic regulation of mouse liver metabolite levels |
title_sort | genetic regulation of mouse liver metabolite levels |
topic | Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4188043/ https://www.ncbi.nlm.nih.gov/pubmed/24860088 http://dx.doi.org/10.15252/msb.20135004 |
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