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A genome-wide association study of neonatal metabolites.

Authors :
He Q
Liu H
Lu L
Zhang Q
Wang Q
Wang B
Wu X
Guan L
Mao J
Xue Y
Zhang C
Cao X
He Y
Peng X
Peng H
Zhao K
Li H
Jin X
Zhao L
Zhang J
Wang T
Source :
Cell genomics [Cell Genom] 2024 Oct 09; Vol. 4 (10), pp. 100668.
Publication Year :
2024

Abstract

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.<br />Competing Interests: Declaration of interests The authors declare no competing interests.<br /> (Copyright © 2024. Published by Elsevier Inc.)

Details

Language :
English
ISSN :
2666-979X
Volume :
4
Issue :
10
Database :
MEDLINE
Journal :
Cell genomics
Publication Type :
Academic Journal
Accession number :
39389019
Full Text :
https://doi.org/10.1016/j.xgen.2024.100668