Interaction between Dietary Magnesium Intake and Genetic Risk Score on the Risk of Gestational Diabetes
Cao X, Lin L, Wu M, Liu J, Zhong C, Yang N
Molecular nutrition & food research · 0 citations
How it was studied
- Design
- Cohort study (classified by our AI screen)
- Studied in
- People
- Main outcome
- Clinical events such as disease or death
Who paid for it
- Funding
- Independent funding
- Government
- National Natural Science Foundation of China
- Government
- National Program on Basic Research Project of China
- Grants
- National Natural Science Foundation of China (NSFC81673159)
Based on 2 listed funder(s).
Publication
- Published
- 2024-11-11 · Mol Nutr Food Res · vol. 68 · issue 23 · p. e2400589
- Publisher
- Wiley
- Cited
- 1 citation · more than 52% of similar papers · 0.2× the field average
- References
- 31 works
- Access
- Paywalled
- Research areas
- Magnesium in Health and Disease · Birth, Development, and Health · Pregnancy and preeclampsia studies
- Keywords
- Gestational diabetes, Medicine, Diabetes mellitus, Risk assessment, Framingham Risk Score, Magnesium, Internal medicine, Endocrinology, Obstetrics, Pregnancy, Physiology, Environmental health, Gestation, Biology, Chemistry, Genetics, Disease
- MeSH
- humans, diabetes, gestational, genetic predisposition to disease, magnesium, diet, risk factors, pregnancy, polymorphism, single nucleotide, adult, female, genetic risk score
6 authors
From CN
- Xiyu CaoHuazhong University of Science and Technology
- Lixia LinHuazhong University of Science and Technology
- Meng WuHuazhong University of Science and Technology
- Jin LiuHuazhong University of Science and Technology
- Chunrong ZhongHuazhong University of Science and Technology
- Nianhong Yang · correspondingHuazhong University of Science and Technology
Abstract
Scope
We aim to assess the interaction between genetic risk and magnesium (Mg) intake during pregnancy on the development of gestational diabetes mellitus (GDM).
Methods and results
Three thousand ninety-six pregnant women from Tongji Maternal and Child Health Cohort are involved in our study. One hundred twelve susceptibility genetic variants of diabetes are selected and genotyped through Asian Screening Array bead chip. Mg intake were assessed by a validated food frequency questionnaire conducted at gestational weeks 25.1 ± 2.7 before GDM diagnosis. The study identifies 22 variants associated with GDM. Weighted genetic risk score (GRS) based on these 22 SNPs is associated with higher occurrence of GDM. There is an interaction between GRS and Mg intake on GDM risk (p-interaction = 0.019). Pregnant women with high GRS (≥23.48) and insufficient Mg intake (-1) have a 1.74 (95% confidence interval [CI]: 1.02, 2.98) fold risk of GDM after adjusting for potential confounders. No such relationship exists among pregnant women with low GRS (<23.48) (adjusted relative risk [RR] = 1.18; 95% CI: 0.73, 1.92).
Conclusion
Genetic predisposition to GDM is modified by Mg intake. This suggests that clinical nutrition guidance may benefit from being tailored by screening women with high diabetic genetic risk.
Abstract via Europe PMC. Copyright remains with the authors or publisher.
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