Author
Listed:
- Noha A. Yousri
(Genetic Medicine, Weill Cornell Medicine-Qatar
Computer and Systems Engineering, Alexandria University)
- Khalid A. Fakhro
(Genetic Medicine, Weill Cornell Medicine-Qatar
Sidra Medical Research Center, Department of Human Genetics)
- 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
Genomics Core, Weill Cornell Medicine-Qatar)
- Ronald G. Crystal
(Genetic Medicine, Weill Cornell Medicine)
- Karsten Suhre
(Physiology and Biophysics, Weill Cornell Medicine-Qatar)
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.
Suggested Citation
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-, 2018.
"Whole-exome sequencing identifies common and rare variant metabolic QTLs in a Middle Eastern population,"
Nature Communications, Nature, vol. 9(1), pages 1-13, December.
Handle:
RePEc:nat:natcom:v:9:y:2018:i:1:d:10.1038_s41467-017-01972-9
DOI: 10.1038/s41467-017-01972-9
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