Menu
Currency
GWAS Study

A genetic map of human metabolism across the allele frequency spectrum.

Zoodsma M, Beuchel C, Yasmeen S et al.

41044249 PubMed ID
GWAS Study Type
6573 Participants
116 Views
Scroll to explore
Chapter I

Publication Details

Comprehensive information about this research publication

Authors

ZM
Zoodsma M
BC
Beuchel C
YS
Yasmeen S
KL
Kohleick L
NA
Nepal A
KM
Koprulu M
KF
Kronenberg F
MM
Mayr M
WA
Williamson A
PM
Pietzner M
LC
Langenberg C
Chapter II

Abstract

Summary of the research findings

Genetic studies of human metabolism have been limited in scale and allelic breadth. Here we provide a data-driven map of the genetic regulation of circulating small molecules and lipoprotein characteristics (249 traits) measured using proton nuclear magnetic resonance spectroscopy across the allele frequency spectrum in ~450,000 individuals. Trans-ancestral meta-analyses identify 29,824 locus-metabolite associations mapping to 753 regions with effects largely consistent between men and women and large ancestral groups represented in UK Biobank. We observe and classify extreme genetic pleiotropy, identify regulators of lipid metabolism, and assign effector genes at >100 loci through rare-to-common allelic series. We propose roles for genes less established in metabolic control (for example, SIDT2), genes characterized by phenotypic heterogeneity (for example, APOA1) and genes with specific disease relevance (for example, VEGFA). Our study demonstrates the value of broad, large-scale metabolomic phenotyping to identify and characterize regulators of human metabolism.

6,573 British African individuals

Chapter III

Study Statistics

Key metrics and study information

6573
Total Participants
GWAS
Study Type
No
Replicated
African unspecified, Central Asian, South Asian, European
Ancestry
U.K.
Recruitment Country
Chapter IV

AI-Generated Summary

AI-generated by DNAGENICS

Independent AI summary of health and genetic findings from the published study

Important: This summary is AI-generated by DNAGENICS for informational purposes only. It was not created by, affiliated with, or endorsed by the researchers behind the original publication, and is based solely on that published research. It may contain errors or omissions. DNAGENICS disclaims all liability for any inaccuracies or consequences arising from use of this information. Verify all information against the original publication. This is not professional scientific review or medical advice.

AI Summary In Progress

Our AI-generated summary of this publication is being prepared. Please check back soon.