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GWAS Study

A genome-wide metabolic QTL analysis in Europeans implicates two loci shaped by recent positive selection.

Nicholson G, Rantalainen M, Li JV et al.

21931564 PubMed ID
GWAS Study Type
344 Participants
35 Views
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Chapter I

Publication Details

Comprehensive information about this research publication

Authors

NG
Nicholson G
RM
Rantalainen M
LJ
Li JV
MA
Maher AD
MD
Malmodin D
AK
Ahmadi KR
FJ
Faber JH
BA
Barrett A
MJ
Min JL
RN
Rayner NW
TH
Toft H
KM
Krestyaninova M
VJ
Viksna J
NS
Neogi SG
DM
Dumas ME
SU
Sarkans U
DP
Donnelly P
IT
Illig T
AJ
Adamski J
SK
Suhre K
AM
Allen M
ZK
Zondervan KT
ST
Spector TD
NJ
Nicholson JK
LJ
Lindon JC
BD
Baunsgaard D
HE
Holmes E
MM
McCarthy MI
HC
Holmes CC
Chapter II

Abstract

Summary of the research findings

We have performed a metabolite quantitative trait locus (mQTL) study of the (1)H nuclear magnetic resonance spectroscopy ((1)H NMR) metabolome in humans, building on recent targeted knowledge of genetic drivers of metabolic regulation. Urine and plasma samples were collected from two cohorts of individuals of European descent, with one cohort comprised of female twins donating samples longitudinally. Sample metabolite concentrations were quantified by (1)H NMR and tested for association with genome-wide single-nucleotide polymorphisms (SNPs). Four metabolites' concentrations exhibited significant, replicable association with SNP variation (8.6×10(-11)<p<2.8×10(-23)). Three of these-trimethylamine, 3-amino-isobutyrate, and an N-acetylated compound-were measured in urine. The other-dimethylamine-was measured in plasma. Trimethylamine and dimethylamine mapped to a single genetic region (hence we report a total of three implicated genomic regions). Two of the three hit regions lie within haplotype blocks (at 2p13.1 and 10q24.2) that carry the genetic signature of strong, recent, positive selection in European populations. Genes NAT8 and PYROXD2, both with relatively uncharacterized functional roles, are good candidates for mediating the corresponding mQTL associations. The study's longitudinal twin design allowed detailed variance-components analysis of the sources of population variation in metabolite levels. The mQTLs explained 40%-64% of biological population variation in the corresponding metabolites' concentrations. These effect sizes are stronger than those reported in a recent, targeted mQTL study of metabolites in serum using the targeted-metabolomics Biocrates platform. By re-analysing our plasma samples using the Biocrates platform, we replicated the mQTL findings of the previous study and discovered a previously uncharacterized yet substantial familial component of variation in metabolite levels in addition to the heritability contribution from the corresponding mQTL effects.

142 European ancestry female twins

Chapter III

Study Statistics

Key metrics and study information

344
Total Participants
GWAS
Study Type
Yes
Replicated
202 European ancestry individuals
Replication Participants
European
Ancestry
U.K.
Recruitment Country
Chapter IV

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