Whole-exome sequencing identifies common and rare variant metabolic QTLs in a Middle Eastern population

Noha A. Yousri (), Khalid A. Fakhro (), Amal Robay, Juan L. Rodriguez-Flores, Robert P. Mohney, Hassina Zeriri, Tala Odeh, Sara Abdul Kader, Eman K. Aldous, Gaurav Thareja, Manish Kumar, Alya Al-Shakaki, Omar M. Chidiac, Yasmin A. Mohamoud, Jason G. Mezey, Joel A. Malek, Ronald G. Crystal and Karsten Suhre ()
Additional contact information
Noha A. Yousri: Genetic Medicine, Weill Cornell Medicine-Qatar
Khalid A. Fakhro: Genetic Medicine, Weill Cornell Medicine-Qatar
Amal Robay: Genetic Medicine, Weill Cornell Medicine-Qatar
Juan L. Rodriguez-Flores: Genetic Medicine, Weill Cornell Medicine
Robert P. Mohney: Metabolon Inc
Hassina Zeriri: Genetic Medicine, Weill Cornell Medicine-Qatar
Tala Odeh: Genetic Medicine, Weill Cornell Medicine-Qatar
Sara Abdul Kader: Physiology and Biophysics, Weill Cornell Medicine-Qatar
Eman K. Aldous: Genomics Core, Weill Cornell Medicine-Qatar
Gaurav Thareja: Physiology and Biophysics, Weill Cornell Medicine-Qatar
Manish Kumar: Physiology and Biophysics, Weill Cornell Medicine-Qatar
Alya Al-Shakaki: Genetic Medicine, Weill Cornell Medicine-Qatar
Omar M. Chidiac: Genetic Medicine, Weill Cornell Medicine-Qatar
Yasmin A. Mohamoud: Genomics Core, Weill Cornell Medicine-Qatar
Jason G. Mezey: Genetic Medicine, Weill Cornell Medicine
Joel A. Malek: Genetic Medicine, Weill Cornell Medicine-Qatar
Ronald G. Crystal: Genetic Medicine, Weill Cornell Medicine
Karsten Suhre: Physiology and Biophysics, Weill Cornell Medicine-Qatar

Nature Communications, 2018, vol. 9, issue 1, 1-13

Abstract: Abstract 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.

Date: 2018
References: Add references at CitEc
Citations:

Downloads: (external link)
https://www.nature.com/articles/s41467-017-01972-9 Abstract (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:nat:natcom:v:9:y:2018:i:1:d:10.1038_s41467-017-01972-9

Ordering information: This journal article can be ordered from
https://www.nature.com/ncomms/

DOI: 10.1038/s41467-017-01972-9

Access Statistics for this article

Nature Communications is currently edited by Nathalie Le Bot, Enda Bergin and Fiona Gillespie

More articles in Nature Communications from Nature
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().