Menu
GWAS Study

Whole-genome sequencing identifies common-to-rare variants associated with human blood metabolites.

Long T, Hicks M, Yu HC et al.

28263315 PubMed ID
GWAS Study Type
1960 Participants
Scroll to explore
Chapter I

Publication Details

Comprehensive information about this research publication

Authors

LT
Long T
HM
Hicks M
YH
Yu HC
BW
Biggs WH
KE
Kirkness EF
MC
Menni C
ZJ
Zierer J
SK
Small KS
MM
Mangino M
MH
Messier H
BS
Brewerton S
TY
Turpaz Y
PB
Perkins BA
EA
Evans AM
ML
Miller LA
GL
Guo L
CC
Caskey CT
SN
Schork NJ
GC
Garner C
ST
Spector TD
VJ
Venter JC
TA
Telenti A
Chapter II

Abstract

Summary of the research findings

Genetic factors modifying the blood metabolome have been investigated through genome-wide association studies (GWAS) of common genetic variants and through exome sequencing. We conducted a whole-genome sequencing study of common, low-frequency and rare variants to associate genetic variations with blood metabolite levels using comprehensive metabolite profiling in 1,960 adults. We focused the analysis on 644 metabolites with consistent levels across three longitudinal data collections. Genetic sequence variations at 101 loci were associated with the levels of 246 (38%) metabolites (P ≤ 1.9 × 10-11). We identified 113 (10.7%) among 1,054 unrelated individuals in the cohort who carried heterozygous rare variants likely influencing the function of 17 genes. Thirteen of the 17 genes are associated with inborn errors of metabolism or other pediatric genetic conditions. This study extends the map of loci influencing the metabolome and highlights the importance of heterozygous rare variants in determining abnormal blood metabolic phenotypes in adults.

1,960 European ancestry individuals

Chapter III

Study Statistics

Key metrics and study information

1960
Total Participants
GWAS
Study Type
No
Replicated
European
Ancestry
U.K.
Recruitment Country
Chapter IV

Analysis

Comprehensive review of health and genetic findings

Important Disclaimer: This review has been performed semi-automatically and is provided for informational purposes only. While we strive for accuracy, this analysis may contain errors, omissions, or misinterpretations of the original research. DNA Genics disclaims all liability for any inaccuracies, errors, or consequences arising from the use of this information. Users should independently verify all information and consult original research publications before making any decisions based on this content. This analysis is not intended as a substitute for professional scientific review or medical advice.

Analysis In Progress

Our analysis of this publication is currently being prepared. Please check back soon for comprehensive insights into the health and genetic findings discussed in this research.