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Whole-exome sequencing identifies common and rare variant metabolic QTLs in a Middle Eastern population
Metabolomics-genome-wide association studies (mGWAS) have uncovered many metabolic quantitative trait loci (mQTLs) influencing human metabolic individuality, though predominantly in European cohorts. By combining whole-exome sequencing with a high-resolution metabolomics profiling for a highly consa...
Autores principales: | , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Nature Publishing Group UK
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5780481/ https://www.ncbi.nlm.nih.gov/pubmed/29362361 http://dx.doi.org/10.1038/s41467-017-01972-9 |
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author | Yousri, Noha A. Fakhro, Khalid A. Robay, Amal Rodriguez-Flores, Juan L. Mohney, Robert P. Zeriri, Hassina Odeh, Tala Kader, Sara Abdul Aldous, Eman K. Thareja, Gaurav Kumar, Manish Al-Shakaki, Alya Chidiac, Omar M. Mohamoud, Yasmin A. Mezey, Jason G. Malek, Joel A. Crystal, Ronald G. Suhre, Karsten |
author_facet | Yousri, Noha A. Fakhro, Khalid A. Robay, Amal Rodriguez-Flores, Juan L. Mohney, Robert P. Zeriri, Hassina Odeh, Tala Kader, Sara Abdul Aldous, Eman K. Thareja, Gaurav Kumar, Manish Al-Shakaki, Alya Chidiac, Omar M. Mohamoud, Yasmin A. Mezey, Jason G. Malek, Joel A. Crystal, Ronald G. Suhre, Karsten |
author_sort | Yousri, Noha A. |
collection | PubMed |
description | Metabolomics-genome-wide association studies (mGWAS) have uncovered many metabolic quantitative trait loci (mQTLs) influencing human metabolic individuality, though predominantly in European cohorts. By combining whole-exome sequencing with a high-resolution metabolomics profiling for a highly consanguineous Middle Eastern population, we discover 21 common variant and 12 functional rare variant mQTLs, of which 45% are novel altogether. We fine-map 10 common variant mQTLs to new metabolite ratio associations, and 11 common variant mQTLs to putative protein-altering variants. This is the first work to report common and rare variant mQTLs linked to diseases and/or pharmacological targets in a consanguineous Arab cohort, with wide implications for precision medicine in the Middle East. |
format | Online Article Text |
id | pubmed-5780481 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-57804812018-01-29 Whole-exome sequencing identifies common and rare variant metabolic QTLs in a Middle Eastern population Yousri, Noha A. Fakhro, Khalid A. Robay, Amal Rodriguez-Flores, Juan L. Mohney, Robert P. Zeriri, Hassina Odeh, Tala Kader, Sara Abdul Aldous, Eman K. Thareja, Gaurav Kumar, Manish Al-Shakaki, Alya Chidiac, Omar M. Mohamoud, Yasmin A. Mezey, Jason G. Malek, Joel A. Crystal, Ronald G. Suhre, Karsten Nat Commun Article Metabolomics-genome-wide association studies (mGWAS) have uncovered many metabolic quantitative trait loci (mQTLs) influencing human metabolic individuality, though predominantly in European cohorts. By combining whole-exome sequencing with a high-resolution metabolomics profiling for a highly consanguineous Middle Eastern population, we discover 21 common variant and 12 functional rare variant mQTLs, of which 45% are novel altogether. We fine-map 10 common variant mQTLs to new metabolite ratio associations, and 11 common variant mQTLs to putative protein-altering variants. This is the first work to report common and rare variant mQTLs linked to diseases and/or pharmacological targets in a consanguineous Arab cohort, with wide implications for precision medicine in the Middle East. Nature Publishing Group UK 2018-01-23 /pmc/articles/PMC5780481/ /pubmed/29362361 http://dx.doi.org/10.1038/s41467-017-01972-9 Text en © The Author(s) 2017 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Yousri, Noha A. Fakhro, Khalid A. Robay, Amal Rodriguez-Flores, Juan L. Mohney, Robert P. Zeriri, Hassina Odeh, Tala Kader, Sara Abdul Aldous, Eman K. Thareja, Gaurav Kumar, Manish Al-Shakaki, Alya Chidiac, Omar M. Mohamoud, Yasmin A. Mezey, Jason G. Malek, Joel A. Crystal, Ronald G. Suhre, Karsten Whole-exome sequencing identifies common and rare variant metabolic QTLs in a Middle Eastern population |
title | Whole-exome sequencing identifies common and rare variant metabolic QTLs in a Middle Eastern population |
title_full | Whole-exome sequencing identifies common and rare variant metabolic QTLs in a Middle Eastern population |
title_fullStr | Whole-exome sequencing identifies common and rare variant metabolic QTLs in a Middle Eastern population |
title_full_unstemmed | Whole-exome sequencing identifies common and rare variant metabolic QTLs in a Middle Eastern population |
title_short | Whole-exome sequencing identifies common and rare variant metabolic QTLs in a Middle Eastern population |
title_sort | whole-exome sequencing identifies common and rare variant metabolic qtls in a middle eastern population |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5780481/ https://www.ncbi.nlm.nih.gov/pubmed/29362361 http://dx.doi.org/10.1038/s41467-017-01972-9 |
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