PMID- 35531169
OWN - NLM
STAT- PubMed-not-MEDLINE
LR  - 20230916
IS  - 1319-562X (Print)
IS  - 2213-7106 (Electronic)
IS  - 2213-7106 (Linking)
VI  - 29
IP  - 4
DP  - 2022 Apr
TI  - Independent case-control study in KCNJ11 gene polymorphism with Type 2 diabetes 
      Mellitus.
PG  - 2794-2799
LID - 10.1016/j.sjbs.2022.01.008 [doi]
AB  - BACKGROUND: Type 2 Diabetes Mellitus (T2DM) is the most common form of diabetes 
      in the aging population. This chronic metabolic disorder has discovered many 
      candidate genes, and KCNJ11 was one of the genes associated with insulin 
      secretion pathways mediated by potassium channels. There have been limited 
      studies on the rs5210 polymorphism in T2DM patients, and none of them have been 
      conducted in Saudi Arabia. AIM: The aim of this study is to investigate at 
      genotyping levels of rs5210 polymorphism in the KCNJ11 gene in older population 
      with T2DM in the Saudi Population. METHODS: Based on the sample size design, this 
      case-control study included 102 T2DM cases and 102 controls. Using the PCR-RFLP 
      assay, 204 patients extracted DNA was genotyped for the rs5210 polymorphism. SPSS 
      software was used for statistical analysis, including t-tests, HWE, genotyping, 
      and multiple logistic regression analysis. RESULTS: The t-tests performed on T2DM 
      cases and controls revealed a significant association in age, weight, BMI, FBG, 
      Hb1Ac, SBP, DBP, HDLC, TC, and TG parameters (p < 0.05). HWE analysis found to be 
      in consistent with rs5210 polymorphism. Allelic association was found in the 
      rs5210 polymorphism (OR-1.64 [95 %CI: 1.08-2.49]; p = 0.01); however, no 
      association (p > 0.05) was observed in the multivariate logistic regression 
      assessment performed in this study. CONCLUSION: These results indicate that the 
      rs5210 polymorphism was primarily associated with allele frequencies, which could 
      be attributable to the small sample size. Large sample size studies will be 
      required to determine whether KCNJ11 gene polymorphisms may be required as a risk 
      marker for T2DM in the Saudi population.
CI  - (c) 2022 The Author(s).
FAU - Alqadri, Nada
AU  - Alqadri N
AD  - Department of Biology, Turabah University College, Taif University, PO Box-11099, 
      Taif 21944, Saudi Arabia.
LA  - eng
PT  - Journal Article
DEP - 20220106
PL  - Saudi Arabia
TA  - Saudi J Biol Sci
JT  - Saudi journal of biological sciences
JID - 101543796
PMC - PMC9073069
OTO - NOTNLM
OT  - KCNJ11 gene
OT  - Rs5210 polymorphism
OT  - Saudi Population
OT  - Type 2 Diabetes Mellitus
COIS- The authors declare that they have no known competing financial interests or 
      personal relationships that could have appeared to influence the work reported in 
      this paper.
EDAT- 2022/05/10 06:00
MHDA- 2022/05/10 06:01
PMCR- 2022/01/06
CRDT- 2022/05/09 04:31
PHST- 2021/11/28 00:00 [received]
PHST- 2021/12/31 00:00 [revised]
PHST- 2022/01/02 00:00 [accepted]
PHST- 2022/05/09 04:31 [entrez]
PHST- 2022/05/10 06:00 [pubmed]
PHST- 2022/05/10 06:01 [medline]
PHST- 2022/01/06 00:00 [pmc-release]
AID - S1319-562X(22)00008-0 [pii]
AID - 10.1016/j.sjbs.2022.01.008 [doi]
PST - ppublish
SO  - Saudi J Biol Sci. 2022 Apr;29(4):2794-2799. doi: 10.1016/j.sjbs.2022.01.008. Epub 
      2022 Jan 6.