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Whole-exome sequencing identifies rare genetic variants associated with human plasma metabolites.

Published version
Peer-reviewed

Type

Article

Change log

Authors

Bomba, Lorenzo 
Walter, Klaudia 
Guo, Qi 
Surendran, Praveen 
Kundu, Kousik 

Abstract

Metabolite levels measured in the human population are endophenotypes for biological processes. We combined sequencing data for 3,924 (whole-exome sequencing, WES, discovery) and 2,805 (whole-genome sequencing, WGS, replication) donors from a prospective cohort of blood donors in England. We used multiple approaches to select and aggregate rare genetic variants (minor allele frequency [MAF] < 0.1%) in protein-coding regions and tested their associations with 995 metabolites measured in plasma by using ultra-high-performance liquid chromatography-tandem mass spectrometry. We identified 40 novel associations implicating rare coding variants (27 genes and 38 metabolites), of which 28 (15 genes and 28 metabolites) were replicated. We developed algorithms to prioritize putative driver variants at each locus and used mediation and Mendelian randomization analyses to test directionality at associations of metabolite and protein levels at the ACY1 locus. Overall, 66% of reported associations implicate gene targets of approved drugs or bioactive drug-like compounds, contributing to drug targets' validating efforts.

Description

Keywords

WES, WGS, drug targets, endophenotypes, loss-of-function, metabolomics, metabolon, proteomics, rare genetic variant, sequencing, Exome, Gene Frequency, Humans, Prospective Studies, Exome Sequencing, Whole Genome Sequencing

Journal Title

Am J Hum Genet

Conference Name

Journal ISSN

0002-9297
1537-6605

Volume Title

Publisher

Elsevier BV
Sponsorship
MRC (MC_UU_00006/1)
British Heart Foundation (None)
British Heart Foundation (CH/12/2/29428)
British Heart Foundation (RG/18/13/33946)