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GWAS Study

A genome-wide association study of neonatal metabolites.

He Q, Liu H, Lu L et al.

39389019 PubMed ID
GWAS Study Type
27785 Participants
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Chapter I

Publication Details

Comprehensive information about this research publication

Authors

HQ
He Q
LH
Liu H
LL
Lu L
ZQ
Zhang Q
WQ
Wang Q
WB
Wang B
WX
Wu X
GL
Guan L
MJ
Mao J
XY
Xue Y
ZC
Zhang C
CX
Cao X
HY
He Y
PX
Peng X
PH
Peng H
ZK
Zhao K
LH
Li H
JX
Jin X
ZL
Zhao L
ZJ
Zhang J
WT
Wang T
Chapter II

Abstract

Summary of the research findings

Genetic factors significantly influence the concentration of metabolites in adults. Nevertheless, the genetic influence on neonatal metabolites remains uncertain. To bridge this gap, we employed genotype imputation techniques on large-scale low-pass genome data obtained from non-invasive prenatal testing. Subsequently, we conducted association studies on a total of 75 metabolic components in neonates. The study identified 19 previously reported associations and 11 novel associations between single-nucleotide polymorphisms and metabolic components. These associations were initially found in the discovery cohort (8,744 participants) and subsequently confirmed in a replication cohort (19,041 participants). The average heritability of metabolic components was estimated to be 76.2%, with a range of 69%-78.8%. These findings offer valuable insights into the genetic architecture of neonatal metabolism.

8,744 East Asian ancestry individuals

Chapter III

Study Statistics

Key metrics and study information

27785
Total Participants
GWAS
Study Type
Yes
Replicated
19,041 East Asian ancestry individuals
Replication Participants
East Asian
Ancestry
China
Recruitment Country
Chapter IV

Analysis

Comprehensive review of health and genetic findings

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