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• W3164535781 abstract "Abstract Aim The aim is to examine the association between seven candidate single nucleotide polymorphisms in AMPKα1 and gestational diabetes in Chinese people. Method We used a matched nested case‐control study design, individuals including 334 participants with gestational diabetes and 334 healthy pregnant women. Confirmed 334 gestational diabetes cases and maternal age and district of residence matched controls (1:1) were enrolled. We examined seven candidate single nucleotide polymorphisms in AMPKα1 gene and the risk of gestational diabetes. The associations were estimated in Co‐dominant, Dominant, Recessive, and Alleles models. The odds ratios (ORs) and their 95% confidence intervals (95% CI) were estimated by unconditional logistical regression as a measure of the associations between genotypes and gestational diabetes adjusting for maternal age, prepregnancy body mass index (BMI), fetal sex and parity. Result At the gene level, we found that AMPKα1 was associated with gestational diabetes ( p = 0.008). After adjusting the covariates and multiple comparison correction, AMPKα1 (rsc1002424, rs10053664, rs13361707) polymorphisms were associated with the risk of gestational diabetes. In addition, gestational diabetes was related to the AAGGA haplotype comprising rs1002424, rs2570091, rs10053664, rs13361707 and rs3805486 in the haplotype models ( p = 0.011). Conclusions This study provides evidence that the AMPKα1 genotypes (rs1002424 G/A, rs10053664 A/G, rs13361707 A/G) and the haplotype (AAGGA) are relevant genetic factors in a Chinese population with gestational diabetes." @default.
• W3164535781 created "2021-06-07" @default.
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• W3164535781 date "2021-06-18" @default.
• W3164535781 modified "2023-10-10" @default.
• W3164535781 title "Association between <i>AMPK</i> <i>α1</i> gene polymorphisms and gestational diabetes in the Chinese population: A case‐control study" @default.
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• W3164535781 doi "https://doi.org/10.1111/dme.14613" @default.
• W3164535781 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/34053110" @default.
• W3164535781 hasPublicationYear "2021" @default.
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