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      Significant Association Between Genetic Polymorphism of Insulin‐Like Growth Factor‐2 mRNA Binding Protein‐2 and Type 2 Diabetes Mellitus: A Population‐Based Case–Control Study

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          ABSTRACT

          Objectives

          To determine the association between IGF2BP2 polymorphisms and type 2 diabetes mellitus.

          Methods

          This study involved 422 individuals, 214 diabetes mellitus cases, and 208 healthy controls. The PCR‐RFLP technique was used to determine the genotype of the IGF2BP2 gene for the SNPs rs4402960 (G>T) and rs1470579 (A>C).

          Results

          The results showed that the C allele of the rs1470579 variant and the T allele of the rs440960 variant were significantly associated with type 2 diabetes mellitus group ( p = 0.0029 and 0.0001) as reported for both alleles, respectively. High frequencies of haplotypes TA and TC were observed in type 2 diabetes patients.

          Conclusion

          The present study showed that IGF2BP2 rs1470579 and rs4402960 polymorphism were significantly associated with the increased risk of T2DM in the Saudi Arabian population and presented a genetic model to screen the high‐risk individuals with further validations.

          Abstract

          This study aimed to determine the association between IGF2BP2 polymorphisms and type 2 diabetes mellitus. The present study showed that IGF2BP2 rs1470579 and rs4402960 polymorphism were significantly associated with the increased risk of T2DM in the Saudi Arabian population and presented a genetic model to screen the high‐risk individuals with further validations.

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          Most cited references33

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          2. Classification and Diagnosis of Diabetes: Standards of Medical Care in Diabetes—2021

          (2020)
          The American Diabetes Association (ADA) "Standards of Medical Care in Diabetes" includes the ADA's current clinical practice recommendations and is intended to provide the components of diabetes care, general treatment goals and guidelines, and tools to evaluate quality of care. Members of the ADA Professional Practice Committee, a multidisciplinary expert committee (https://doi.org/10.2337/dc21-SPPC), are responsible for updating the Standards of Care annually, or more frequently as warranted. For a detailed description of ADA standards, statements, and reports, as well as the evidence-grading system for ADA's clinical practice recommendations, please refer to the Standards of Care Introduction (https://doi.org/10.2337/dc21-SINT). Readers who wish to comment on the Standards of Care are invited to do so at professional.diabetes.org/SOC.
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            IDF diabetes atlas: global estimates of the prevalence of diabetes for 2011 and 2030.

            David Whiting, Leonor Guariguata, Clara Weil … (2011)
            Diabetes is an increasingly important condition globally and robust estimates of its prevalence are required for allocating resources. Data sources from 1980 to April 2011 were sought and characterised. The Analytic Hierarchy Process (AHP) was used to select the most appropriate study or studies for each country, and estimates for countries without data were modelled. A logistic regression model was used to generate smoothed age-specific estimates which were applied to UN population estimates for 2011. A total of 565 data sources were reviewed, of which 170 sources from 110 countries were selected. In 2011 there are 366 million people with diabetes, and this is expected to rise to 552 million by 2030. Most people with diabetes live in low- and middle-income countries, and these countries will also see the greatest increase over the next 19 years. This paper builds on previous IDF estimates and shows that the global diabetes epidemic continues to grow. Recent studies show that previous estimates have been very conservative. The new IDF estimates use a simple and transparent approach and are consistent with recent estimates from the Global Burden of Disease study. IDF estimates will be updated annually. Copyright © 2011 Elsevier Ireland Ltd. All rights reserved.
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              Replication of genome-wide association signals in UK samples reveals risk loci for type 2 diabetes.

              E Zeggini, M N Weedon, C. M. Lindgren … (2007)
              The molecular mechanisms involved in the development of type 2 diabetes are poorly understood. Starting from genome-wide genotype data for 1924 diabetic cases and 2938 population controls generated by the Wellcome Trust Case Control Consortium, we set out to detect replicated diabetes association signals through analysis of 3757 additional cases and 5346 controls and by integration of our findings with equivalent data from other international consortia. We detected diabetes susceptibility loci in and around the genes CDKAL1, CDKN2A/CDKN2B, and IGF2BP2 and confirmed the recently described associations at HHEX/IDE and SLC30A8. Our findings provide insight into the genetic architecture of type 2 diabetes, emphasizing the contribution of multiple variants of modest effect. The regions identified underscore the importance of pathways influencing pancreatic beta cell development and function in the etiology of type 2 diabetes.
              Article 0 comments Cited 108 times – based on 0 reviews     Review now
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                Author and article information

                Contributors
                Elmutuz H. Elssaig:
                ORCID: https://orcid.org/0000-0003-3136-1899
                eelssaig@ut.edu.sa
                Journal
                Journal ID (nlm-ta): J Clin Lab Anal
                Journal ID (iso-abbrev): J Clin Lab Anal
                Journal ID (doi): 10.1002/(ISSN)1098-2825
                Journal ID (publisher-id): JCLA
                Title: Journal of Clinical Laboratory Analysis
                Publisher: John Wiley and Sons Inc. (Hoboken )
                ISSN (Print): 0887-8013
                ISSN (Electronic): 1098-2825
                Publication date (Electronic): 03 January 2025
                Publication date Collection: February 2025
                Volume: 39
                Issue: 3 ( doiID: 10.1002/jcla.v39.3 )
                Electronic Location Identifier: e25147
                Affiliations
                [ 1 ] Department of Medical Laboratory Technology, Faculty of Applied Medical Sciences University of Tabuk Tabuk Saudi Arabia
                [ 2 ] Prince Fahad Bin Sultan Chair for Biomedical Research University of Tabuk Tabuk Saudi Arabia
                [ 3 ] Faculty of Medical Laboratory Science Department of Clinical Chemistry Alzaiem Alazhari University Khartoum North Sudan
                [ 4 ] Faculty of Medical Laboratory Science Department of Microbiology and Immunology Alzaiem Alazhari University Khartoum North Sudan
                [ 5 ] Medical Laboratory Specialist‐ Clinical Chemistry Lab ‐King Fahd Specialist Hospital, Tabuk, Kingdom of Saudi Arabia Saudi Arabia
                Author notes
                [*] [* ] Correspondence:

                Elmutuz H. Elssaig ( eelssaig@ 123456ut.edu.sa )

                Author information
                https://orcid.org/0000-0003-3136-1899
                https://orcid.org/0000-0001-5880-793X
                https://orcid.org/0000-0001-9005-0375
                https://orcid.org/0000-0002-9281-1550
                Article
                Publisher ID: JCLA25147 Other ID: JCLA-24-400.R2
                DOI: 10.1002/jcla.25147
                PMC ID: 11821720
                PubMed ID: 39749895
                SO-VID: d404af76-d32d-4733-9b14-6cf1eb0cdeee
                Copyright © © 2025 The Author(s). Journal of Clinical Laboratory Analysis published by Wiley Periodicals LLC.
                License:

                This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited and is not used for commercial purposes.

                History
                Date revision received : 28 November 2024
                Date received : 10 June 2024
                Date accepted : 22 December 2024
                Page count
                Figures: 6, Tables: 8, Pages: 9, Words: 5300
                Funding
                Funded by: Deanship of Scientific Research (DSR), University of Tabuk, Kingdom of Saudi Arabia
                Award ID: S‐0115‐1439
                Categories
                Subject: Research Article
                Subject: Research Article
                Custom metadata
                source-schema-version-number 2.0
                cover-date February 2025
                details-of-publishers-convertor Converter:WILEY_ML3GV2_TO_JATSPMC version:6.5.3 mode:remove_FC converted:13.02.2025

                ScienceOpen disciplines: Clinical chemistry
                Keywords: bmi,genetic variants,genomic markers,igf2bp2,snps,t2dm
                Data availability:
                ScienceOpen disciplines: Clinical chemistry
                Keywords: bmi, genetic variants, genomic markers, igf2bp2, snps, t2dm

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