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Novel insights into the genetic architecture of pregnancy glycemic traits from 14,744 Chinese maternities.
- Source :
-
Cell genomics [Cell Genom] 2024 Oct 09; Vol. 4 (10), pp. 100631. - Publication Year :
- 2024
-
Abstract
- Glycemic traits are critical indicators of maternal and fetal health during pregnancy. We performed genetic analysis for five glycemic traits in 14,744 Chinese pregnant women. Our genome-wide association study identified 25 locus-trait associations, including established links between gestational diabetes mellitus (GDM) and the genes CDKAL1 and MTNR1B. Notably, we discovered a novel association between fasting glucose during pregnancy and the ESR1 gene (estrogen receptor), which was validated by an independent study in pregnant women. The ESR1-GDM link was recently reported by the FinnGen project. Our work enhances the findings in East Asian populations and highlights the need for independent studies. Further analyses, including genetic correlation, Mendelian randomization, and transcriptome-wide association studies, provided genetic insights into the relationship between pregnancy glycemic traits and hypertension. Overall, our findings advance the understanding of genetic architecture of pregnancy glycemic traits, especially in East Asian populations.<br />Competing Interests: Declaration of interests The authors declare no competing interests.<br /> (Copyright © 2024 The Authors. Published by Elsevier Inc. All rights reserved.)
- Subjects :
- Humans
Female
Pregnancy
Adult
Polymorphism, Single Nucleotide
Estrogen Receptor alpha genetics
China epidemiology
Cyclin-Dependent Kinase 5 genetics
East Asian People
tRNA Methyltransferases
Receptor, Melatonin, MT2
Genome-Wide Association Study
Diabetes, Gestational genetics
Diabetes, Gestational blood
Blood Glucose metabolism
Subjects
Details
- Language :
- English
- ISSN :
- 2666-979X
- Volume :
- 4
- Issue :
- 10
- Database :
- MEDLINE
- Journal :
- Cell genomics
- Publication Type :
- Academic Journal
- Accession number :
- 39389014
- Full Text :
- https://doi.org/10.1016/j.xgen.2024.100631