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- W4255805510 abstract "Abstract Background: Type 2 diabetes mellitus (T2DM) has a high global prevalence, and the interaction of environmental factors and genetic factors may contribute to the risk of T2DM. We aimed to investigate the association between T2DM and the single nucleotide polymorphisms (SNPs) in genes associated with insulin secretion is necessary. Methods: T2DM (1169) and nondiabetic (NDM) (1277) subjects were enrolled and the eight SNPs in CDKAL1 and HHEX associated with insulin secretion were genotyped in a Chinese population. Results: Our result revealed that four SNPs (rs4712524, rs10946398, rs7754840 in CDKAL1 and rs5015480 in HHEX) showed significantly different genotype frequencies in the T2DM and NDM groups (P<0.00625). The G allele of rs4712524(P=0.004, OR=1.184; 95%CI: 1.057-1.327) , C allele of rs10946398(P<0.001, OR=1.247; 95%CI: 1.112-1.398) and C allele of rs775480 in CDKAL1 (P<0.001, OR=1.229; 95%CI: 1.096-1.387) functioned as risk allele in incidence of T2DM. The C allele of rs5015480 in HHEX (P<0.001, OR=1.295; 95%CI: 1.124-1.493) was risk factor for the development of T2DM. The haplotype analysis revealed that rs4712524-rs10946398-rs7754840-rs9460546GCCG (P=0.001, OR=1.210; 95%CI: 1.076-1.360) was associated with a greater risk of T2DM development. Moreover, The HHEX rs1111875-rs5015480 haplotype analysis with D’>0.9 showed that rs1111875-rs5015480CC was associated with development of T2DM(P=2.63×10 -5 , OR=1.364; 95%CI:1.180-1.576). In the inheritance models analysis, the best fit inheritance model for rs4712524, rs10946398, and rs7754840 in CDKAL1 and rs5015480 in HHEX were all log-additive. Conclusion : Our results revealed that genetic variations in CDKAL1 and HHEX were associated with T2DM susceptibility in a Chinese population." @default.
- W4255805510 created "2022-05-12" @default.
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- W4255805510 date "2020-09-08" @default.
- W4255805510 modified "2023-09-27" @default.
- W4255805510 title "Association between single nucleotide polymorphisms in CDKAL1 and HHEX and type 2 diabetes in Chinese Population" @default.
- W4255805510 doi "https://doi.org/10.21203/rs.3.rs-63444/v1" @default.
- W4255805510 hasPublicationYear "2020" @default.
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