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

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.

SUBMITTER: Yousri NA

PROVIDER: S-EPMC5780481 | biostudies-literature | 2018 Jan

REPOSITORIES: biostudies-literature

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

Yousri Noha A NA Fakhro Khalid A KA Robay Amal A Rodriguez-Flores Juan L JL Mohney Robert P RP Zeriri Hassina H Odeh Tala T Kader Sara Abdul SA Aldous Eman K EK Thareja Gaurav G Kumar Manish M Al-Shakaki Alya A Chidiac Omar M OM Mohamoud Yasmin A YA Mezey Jason G JG Malek Joel A JA Crystal Ronald G RG Suhre Karsten K

Nature communications 20180123 1

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 ...[more]

PMID: 29362361

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Project description:Background:Extraordinary progress has been made in our understanding of common variants in many diseases, including melanoma. Because the contribution of rare coding variants is not as well characterized, we performed an exome-wide, gene-based association study of familial cutaneous melanoma (CM) and ocular melanoma (OM). Methods:Using 11?990 jointly processed individual DNA samples, whole-exome sequencing was performed, followed by large-scale joint variant calling using GATK (Genome Analysis ToolKit). PLINK/SEQ was used for statistical analysis of genetic variation. Four models were used to estimate the association among different types of variants. In vitro functional validation was performed using three human melanoma cell lines in 2D and 3D proliferation assays. In vivo tumor growth was assessed using xenografts of human melanoma A375 melanoma cells in nude mice (eight mice per group). All statistical tests were two-sided. Results:Strong signals were detected for CDKN2A (Pmin = 6.16?×?10-8) in the CM cohort (n?=?273) and BAP1 (Pmin = 3.83?×?10-6) in the OM (n?=?99) cohort. Eleven genes that exhibited borderline association (P < 10-4) were independently validated using The Cancer Genome Atlas melanoma cohort (379?CM, 47 OM) and a matched set of 3563 European controls with CDKN2A (P = .009), BAP1 (P = .03), and EBF3 (P = 4.75?×?10-4), a candidate risk locus, all showing evidence of replication. EBF3 was then evaluated using germline data from a set of 132 familial melanoma cases and 4769 controls of UK origin (joint P = 1.37?×?10-5). Somatically, loss of EBF3 expression correlated with progression, poorer outcome, and high MITF tumors. Functionally, induction of EBF3 in melanoma cells reduced cell growth in vitro, retarded tumor formation in vivo, and reduced MITF levels. Conclusions:The results of this large rare variant germline association study further define the mutational landscape of hereditary melanoma and implicate EBF3 as a possible CM predisposition gene.

Dataset Information

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

Publications

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

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