Skip to main content
Egyptian Journal of Medical Human Genetics
Download PDF

Association of CDKN2A/B gene polymorphisms (rs10811661 and rs2383208) with type 2 diabetes mellitus in a sample of Iraqi population

Egyptian Journal of Medical Human Genetics volume 23, Article number: 64 (2022) Cite this article

Abstract

Background

Type 2 diabetes mellitus (T2DM) is chronic metabolic disorder manifested by increased blood glucose (hyperglycemia) due to pancreatic β-cell dysfunction and/or decreased sensitivity of peripheral tissue to insulin. T2DM is a multifactorial disease that may results from interaction of environmental and genetic factors.

Methods

A case–control study consisting of 400 T2DM patients in addition to 400 as control. Phenotyping as well as anthropometric data included body mass index BMI, fasting plasma glucose (FPG), serum total cholesterol, serum triglyceride, VLDL, LDL, HDL insulin levels and Homeostatic Model Assessment for Insulin Resistance HOMA-IR were estimated for the two groups. PCR–RFLP was used to carry out genotyping of CDKN2A/B gene (rs10811661 T>C and rs2383208 A>G) SNPs.

Results

For rs10811661 SNP the genotype and allele frequencies of CDKN2A/B gene for T2DM and control subjects showed that the co-dominant model in patients with the homozygous (TT) was found to be significantly (OR 2.51, 95% CI 1.47–4.24, P 0.004) higher than those in control group. In contrast, the heterozygous genotype (TC) did not reveal this significance (OR 1.14, 95% CI 0.77–2.62, P = 0.13), ANOVA test for mean comparison of biochemical markers under the co-dominant model of rs10811661 SNP genotype in CDKN2A/B gene, revealed a significant difference for insulin (P < 0.0001) and HOMA-IR (P < 0.0001) in T2DM group as compared to control one; However (rs2383208) SNP did not show any significant association with T2DM and with the measured biochemical marker at any model.

Conclusions

CDKN2A/B gene rs10811661 SNP was implicated in T2DM pathogenesis in this sample of Iraqi population also it affects insulin level in those patients, whereas the rs2383208 SNP did not impact the disease.

Introduction

Type 2 diabetes mellitus T2DM is a chronic metabolic disorder manifested by increased blood glucose (hyperglycemia) due to pancreatic β-cell dysfunction and/or decreased sensitivity of peripheral tissue to insulin [9]. This condition occurs due to increased insulin resistance (IR) that is manifested especially in muscle, liver and fat cells [1]. Among the external risk factors are mainly obesity (BMI over 30), which demonstrate strong association with the development of insulin resistance [16]. Insulin resistance may be caused by several causes from the deficiency of the insulin receptor (its number and function) to glucose transporters damage [13], [2]. Genetically insulin receptor defects represent the most severe form of insulin resistance [6].

T2DM is a multifactorial disease that may results from an interaction between environmental and genetic factors [9], [11]. Genome wide association studies (GWAS) of T2DM have identified several single nucleotide polymorphism SNPs in genes that predisposing to T2DM [5], of these genes are Cyclin-dependent kinase inhibitor 2A/2B genes CDKN2A/B which located on chromosome 9p21. CDKN2A/B locus human gene encodes proteins: p15 and p16 inhibitors for cyclin dependent kinase 4 (p15INK4b and p16INK4a) [10].

CDKN2B gene away about 30,000 bp from CDKN2A gene and the latter gene encode p16INK4a and p14ARF proteins while CDKN2B encodes p15INK4b protein. p16INK4a and p15INK4b considered as, tumor suppressor proteins which inhibit cyclin‑dependent kinase 4 CDK4 in addition to CDK6 [12].

CDK4, act as a powerful regulator for replication of beta cells in pancreas [26]. The studies on murine model showed that any increased in expression of p15INK4b is associated with the development of hypoplasia in exocrine and endocrine glands [18]. Mice with inhibition of CDK4 may develop diabetes due to insulin deficiency because of a decrease in pancreatic β cells number [15, 21]. These findings collectively suggest that the polymorphisms of the CDKN2A/B genes may increases the likelihood of type 2 diabetes [12].

The objectives of this study were to evaluate the association of CDKN2A/B gene polymorphisms (rs10811661 and rs2383208) with type 2 diabetes mellitus in Iraqi population.

Materials and methods

Study subjects

The study design is a case–control, consisting of 400 T2DM patients in addition to 400 individuals as control. The specimen collections were done from Oct. 2019 till Jan. 2020. The analysis of phenotyping and genotyping were done in the postgraduate laboratory of department of biochemistry in faculty of medicine in Kufa University. The selection of sample size was done according to online software (osse.bii.a-star.edu.sg/calculation1.php).

A total of 400 type 2 diabetes individuals were enrolled in present study (205 female and 195 male). Patients varied in age from 30 to 69 years old, the mean of age equal to 52.93 \(\pm\) 7.00 years as SD. Specialist physicians have examined the patients. They were randomly selected from AL-Sader Teaching Hospital in al Najaf Province. For the patients to be included in this study, the diagnosis of T2DM according to WHO criteria. Exclusion criteria were adopted to deport patients who have the following:

  • Type 1 DM.

  • Those who taking insulin.

A second group consist of 400 normal individuals were randomly selected from the general population (205 males and 195 female) as control group.

From all participants in this study a 5 ml of blood were taken by venipuncture and collected in two tubes, 3.0 ml of 5 placed in plain tube (without anticoagulant) and the remaining quantity (2 ml) has been placed in tube with EDTA. The first tube (plain tube) was centrifuged at 2000×g for 10 min after being allowed to coagulate at room temperature for 10–15 min. The serum that obtained from previous step was stored at − 20 °C until analysis for phenotyping estimation. Extraction of DNA was done from other tube that contains EDTA the samples of DNA were maintained frozen at − 20 °C until gene polymorphisms were examined.

Informed consent has been taken from patients and control group before sampling, the protocol of this study was approved by the Kufa Medical Faculty Ethical Committee.

Measurements

Anthropometric data as BMI and biochemical parameters such as FPG, serum total cholesterol, serum triglyceride, VLDL, LDL, HDL insulin levels and HOMA-IR were measured for all individuals participating in the study. Serum total cholesterol, triglyceride, HDL in addition to fasting blood glucose estimated according to "standard enzymatic colorimetric assay" method in contrast LDL and VLDL were calculated by using mathematical formulas. Enzyme-linked immunosorbent assay ELISA was used to estimate insulin concentration whereas HOMA-IR was used for Insulin Resistance assessment.

Genotyping

DNA purification kit (G-spin) was used for DNA extraction from blood samples for all individuals participating in the study. Polymerase chain reaction-Restriction Fragment Length Polymorphism (PCR–RFLP) technique were used to determined CDKN2A/B rs10811661 T>C and rs2383208 A>G gene polymorphisms.

The primers of SNPs that used in current study were designed by Primer3plus software as the following:

  • For rs10811661 SNP:

    • Forward primer was 5′-CCGGCCCATTTTCTTTGTCA-3′

    • Reverse primer was 5′-CAAAGCGCTGGGATCATAGG-3′

  • For rs2383208 SNP:

    • Forward primer was 5′-CTGTTACTGGCTGGGGAACT-3′

    • Reverse primer was 5′-TGTCTGCACCACTGGAGGTA-3′

The conditions of PCR–RFLP technique

A total volume of DNA amplification reaction was 25 µl which consist of GoTaq® Green Master Mix from Promega (12.5 µl), forward and reverse primer (1.5 µl) from both of them, genome DNA (5 µl) then Complete the final volume by nuclease-free water (4.5 µl). The conditions of thermo-cycle for rs10811661 SNP amplification was initial denaturation (5 min at 95 °C) for one cycle then for 30 cycles included denaturation step (1 min at 95 °C), annealing step (1 min at 62 °C) and extension step (1 min at 72 °C) then final extension step (10 min. at 72 °C). The product of PCR was 232 bp detected by 2% agarose gel electrophoresis. The same programed protocol of PCR reaction done for rs2383208 SNP, while the amplification protocol was as following: initial denaturation (5 min at 95 °C) then 35 cycles consisting of denaturation step (30 s at 95 °C), annealing step (30 s at 59.3 °C) and extension step (30 s at 72 °C) then the final extension step (5 min. at 72 °C). Also the size of PCR product also detected by 2% agarose gel electrophoresis which was 246 bp. PCR product for both SNPs were digested by specific restriction enzymes. For rs10811661 SNP the restriction enzymes was BspHI, the recognition sequence T^CATGA, the digestion temp. was 37 °C and the time of digestion was 8 h. while for rs2383208 SNP the restriction enzymes was Hpy166II, the recognition sequence GTN^NAC.

The digestion temp. was 37 °C and the digestion time was 15 min. Digested fragments electrophoresed in 3% agarose gel agarose (75 V and 120 min) with diamond stain and visualized under UV light.

Statistical analysis

For statistical analysis, SPSS version 23 was used. Phenotypic data were expressed as mean ± SD, T test used to determine the significance between the two groups. ANOVA test was used to comparing mean levels for continuous characteristics across genotypes Chi-square test was used to determine genotype frequencies among T2DM patients and healthy controls. The Hardy Weinberg Equilibrium equation was used to look at allelic frequencies. The associations between CDKN2A/B (rs10811661 and rs2383208) genotype with T2DM risk were estimated by calculating odds ratio with 95% CI using multinominal logistic regression analysis. P values of less than 0.05 were regarded significant.

Results

The anthropometric and biochemical parameters result for the two groups were shown in Table 1. The results revealed significant differences for all parameters (except gender and age) between T2DM and control group.

Table 1 Phenotyping and biochemical analysis for T2DM patients and control groups
Full size table

RFLP analysis revealed that PCR product of rs10811661 SNP of CDKN2A/B gene was digested by BspHI restriction endonucleases enzyme. The products of digestion were electrophoresed in 3% agarose gel and demonstrate two (164, 68 bp) bands of wild type (TT), one (232 bp) band of homozygous (CC) and three (232, 164, 68 bp) bands of heterozygous (TC) genotypes as illustrated in Fig. 1.

Fig. 1
figure 1

PCR–RFLP band pattern of CDKN2A/B gene polymorphism (rs10811661) on a 3% agarose gel. Lines 1: Marker of DNA. Lines 2, 6 and 7: CC genotype 232 bp. Lines 4, 5, 8 and 10: TT genotype 164 and 68 bp. Lines 3,9 and 11: TC genotype 232, 164 and 68 bp

Full size image

PCR product of rs2383208 SNP of CDKN2A/B gene was digested with Hpy166II restriction endonucleases enzyme. The digestion products were electrophoresed in agarose gel and shown a wild type (AA) with two (137,109 bp) band, homozygous (GG) genotype with one (246 bp) band and heterozygous (AG) genotypes with three (246, 137, 109 bp) bands, as shown in Fig. 2.

Fig. 2
figure 2

PCR–RFLP band pattern of CDKN2A/B gene polymorphism (rs2383208) on a 3% agarose gel. Lines 1: Marker of DNA. Lines 9 and 10: GG genotype 246 bp, Lines 2, 3, 4, 5 and 8: AA genotype 137 and 109 bp. Lines 6 and 7: AG genotype 240, 137 and 109 bp

Full size image

The results of rs10811661 SNP genotype and allele frequencies of CDKN2A/B gene for control and T2DM subjects showed that the co-dominant model in patients with the homozygous (TT) was found to be significantly (OR 2.51, 95% CI 1.47–4.24, P = 0.004) higher than those in control group. In contrast, the heterozygous genotype (TC) did not reveal this significance (OR 1.14, 95% CI 0.77–2.62, P = 0.13) (Table 2).

Table 2 Distribution of genotypes and allele frequency in CDKN2A/B gene polymorphism (rs10811661) for T2DM and control subjects
Full size table

The dominant, recessive, and additive style in T2DM persons displayed a significant (OR 1.99, 95% CI 1.11–3.25, P = 0.002), (OR 1.91, 95% CI 1.48–2.55, P < 0.0001) and (OR 2.2, 95% CI 1.31–3.69, P = 0.002) respectively, elevation in comparison to the subjects of control group. For T2DM subjects the risk allele (T) frequency was significantly (OR 1.69, 95% CI 1.35–2.11, P < 0.0001) elevated in T2DM (78%) with respect to the control individuals (68%) (Table 2). ANOVA test for mean comparison of biochemical markers under the co-dominant model of rs10811661 SNP genotype in CDKN2A/B gene, revealed a significant differences for insulin (P < 0.0001) and HOMA-IR (P < 0.0001), while BMI (P = 0.12), FBG (P = 0.68), cholesterol (P = 0.81), TG (0.51), VLDL-C (P = 0.51), HDL-C (P = 0.45) and LDL-C (P = 0.35) failed to explore any significant difference (Table 4).

On the other hand, the other SNP (rs2383208) in CDKN2A/B gene did not show any significant association between T2DM and this SNP before and after the adjustment for BMI, age and gender (Table 3). In addition to ANOVA test for mean comparison of biochemical markers under the co-dominant model rs2383208 genotype in CDKN2A/B gene didn’t show any significance (table not included).

Table 3 Distribution of genotypes and allele frequency in CDKN2A/B gene polymorphism (rs2383208) for T2DM and control subjects
Full size table

Discussion

The causes and implications of T2DM in humans have been extensively researched in various global populations in attempt to reduce the disease's burden on the health-care system. Several SNPs in genes that predispose to T2DM have been discovered in GWAS of T2DM. These genetic variations were found in many researches including various populations, confirming several correlations [14].

In this study, we examined the association of the CDKN2A/B gene SNPs rs10811661 and rs2383208 with the T2DM development in an Iraqi population sample (Table 4).

Table 4 Mean comparison of biochemical markers under the Co-dominant model of CDKN2A/B (rs10811661 T>C) gene polymorphism
Full size table

The genetic power in the current study was verified for each studied SNP to assess the results' reliability, since 80 percent genetic power is necessary to consider a real association between genotyping findings and illness or phenotypic characteristics. Only one SNP (rs10811661) was found to have adequate genetic capabilities (89.1 percent). While the other SNP (rs2383208) it has just 24.6 percent of genetic power.

The results of the highlighted two SNPs showed consistency with Hardy Weinberg equilibrium (HWE) in healthy control persons, implying that the examined genotypes had consistent frequencies throughout generations. Based on this, changes in allele frequencies in the diabetic group might be substantially linked to T2DM.

The results of rs10811661 SNP in CDKN2A/B showed a significant association for allele T with the existence of T2DM. The carriers of the TT (homozygous variant) have a 2 folds’ risk relative to the non-carriers to develop T2DM. In addition, the adjustment for gender, age and BMI had no effect on the results. The TC (heterozygous variant) variants do not show significant changes neither before nor after the adjustment for age, gender, and BMI. On the other hand, the dominant, recessive, and additive models have approximately twofold risk for the disease development. However, the allele frequency (T) increases the risk of the disease by 1.69 folds. Several studies have indicated that the CDKN2A/B gene is linked to diabetes in the Arab ethnic population, but the present study is the first in Iraq. Most of these studies used a case–control design such as in KSA [17], Palestine [7] and Oman [24]. A study in Tunisian people showed a female gender-specific association of rs10811661 SNP with T2DM (Amira [3]. A study in India, demonstrated a significant association with the disease [4] and also in Thai population [19]. On the contrary, other studies revealed non-significant association of this SNP with T2DM in Qatar [23] and in Lebanon [22] populations.

Our study demonstrated significant effect of this SNP on insulin levels and HOMA-IR this finding could explain how CDKN2B and CDKN2A genes that encoding p15INK4b and p16INK4a, respectively, implicated in pancreatic islet regenerative capacity. As studies shown that transgenic mice overproducing p16INK4a showed decreased islet proliferation with ageing, and aged mice lacking p16INK4a demonstrated enhanced islet proliferation [12].

Results of rs2383208 SNP in CDKN2A/B gene polymorphism showed non-significant association with T2DM in the analyzed individuals. Results seemed to be insignificant whatever the type of the inheritance model was used. The findings of the present study are consistent with those of others [20]. In contrast, a study on Japanese population showed a significant association of this SNP with the incidence of T2DM [8]. It has been concluded that CDKN2A/B loci (rs10811661 and rs2383208) may impact T2DM risk by modulating gene expression of islet cells and proliferation of β-cell [25]. The variation of the results is worthy to point out that ethnicity may play a fundamental role in various diabetogenic gene influences on T2DM development.

Conclusion

CDKN2A/B gene polymorphism rs10811661 was implicated in T2DM pathogenesis in this sample of Iraqi population also its significantly affect insulin levels in those patients, whereas the rs2383208 SNP do not impact the disease nor the measured biochemical markers.

Abbreviations

BMI:

Body mass index

CDKAL1:

CDK5 Regulatory Subunit Associated Protein 1 Like 1

CI:

Confidence interval

EDTA:

Ethylenediaminetetraacetic acid

FPG:

Fasting plasma glucose

GWAS:

Genome-wide association study

IDF:

International Diabetic Federation

MAF:

Minor allele frequency

OR:

Odds ratio

PCR-RFLP:

Polymerase Chain Reaction–Restriction Fragment Length Polymorphism

T2DM:

Type 2 diabetes mellitus

SNP:

Single-nucleotide polymorphism

WHO:

World Health Organization

References

  1. American Diabetes Association (2020) 2. Classification and diagnosis of diabetes: standards of medical care in diabetes-2020. Diabetes Care 43(Supplement 1):S14–S31

  2. American Diabetes Association (2018) Classification and diagnosis of diabetes: standards of medical care in diabetes-2018. Diabetes Care 41:S13–S27

  3. Amira T, Al-Zaben GS, Khirallah M et al (2014) Gender-dependent associations of CDKN2A/2B, KCNJ11, POLI, SLC30A8, and TCF7L2 variants with type 2 diabetes in (North African) Tunisian Arabs. Diabetes Res Clin Pract 103(3):e40–e43

    Article  Google Scholar 

  4. Amit KV, Goyal Y, Bhatt D et al (2021) Association between CDKAL1, HHEX, CDKN2A/2B and IGF2BP2 gene polymorphisms and susceptibility to type 2 diabetes in Uttarakhand, India. Diabetes Metab Syndr Obes 14:23–36

    Article  Google Scholar 

  5. Anubha M, Daniel T, Matthias T et al (2018) Fine-mapping type 2 diabetes loci to single-variant resolution using high-density imputation and islet-specific epigenome maps. Nat Genet 50(11):1505–1513

    Article  Google Scholar 

  6. Ardonabc O, Proctera M, Tvrdika T et al (2014) Sequencing analysis of insulin receptor defects and detection of two novel mutations in INSR gene. Mol Genet Metab Rep 1:71–84

    Article  Google Scholar 

  7. Fadel AS, Shubair ME, Zaharna MM et al (2018) Genetic polymorphism and risk of having type 2 diabetes in a Palestinian population. Adv Diabetes Endocrinol 3(1):66

    Google Scholar 

  8. Goto M, Noda N, Goto M et al (2018) Predictive performance of a genetic risk score using 11 susceptibility alleles for the incidence of Type 2 diabetes in a general Japanese population. Diabet Med 35:602–611

    CAS  Article  Google Scholar 

  9. Goyal Y, Verma A, Bhatt D et al (2020) Diabetes: perspective and challenges in modern era. Gene Rep 20:100759

    Article  Google Scholar 

  10. Hannou SA, Wouters K, Paumelle R, Staels B (2015) Functional genomics of the CDKN2A/B locus in cardiovascular and metabolic disease: what have we learned from GWASs? Trends Endocrinol Metab 26(4):176–184

    CAS  Article  Google Scholar 

  11. Hara K, Shojima N, Hosoe J, Kadowaki T (2014) Genetic architecture of type 2 diabetes. Biochem Biophys Res Commun 452:213–220

    CAS  Article  Google Scholar 

  12. Hribal ML, Presta I et al (2011) Glucose tolerance, insulin sensitivity and insulin release in European non-diabetic carriers of a polymorphism upstream of CDKN2A and CDKN2B. Diabetologia 54:795–802

    CAS  Article  Google Scholar 

  13. Kahn SE, Cooper ME, del Prato S (2014) Pathophysiology and treatment of type 2 diabetes: perspectives on the past, present, and future. Lancet 383:1068–1083

    CAS  Article  Google Scholar 

  14. Kaftan AN, Hussain MK (2015) Association of adiponectin gene polymorphism rs266729 with type two diabetes mellitus in Iraqi population. A pilot study. Gene 570(1):95–99

    CAS  Article  Google Scholar 

  15. Kong Y, Sharma RB, Nwosu BU, Alonso LC (2016) Islet biology, the CDKN2A/B locus and type 2 diabetes risk. Diabetologia 59:1579–1593

    CAS  Article  Google Scholar 

  16. Leitner DR, Frühbeck G, Yumuk V et al (2017) Obesity and type 2 diabetes: two diseases with a need for combined treatment strategies—EASO can lead the way. Obes Facts 10:483–492

    Article  Google Scholar 

  17. Mohammad AMA, Ahmed AAE, Hadi Al-Ama MNA, Alshali KZ, Ajabnoor GMA (2018) The covariant CDKN2A/B rs10811661 (C/T) gene polymorphism is associated with increased risk of type 2 diabetes mellitus in a Saudi Arabian population. Middle East J Med Genet 7:19–25

    Google Scholar 

  18. Moritani M, Yamasaki S, Kagami M et al (2005) Hypoplasia of endocrine and exocrine pancreas in homozygous transgenic TGF beta-1. Mol Cell Endocrinol 229:175–184

    CAS  Article  Google Scholar 

  19. Nattachet P, Chutima C, Nalinee C et al (2018) Impact of KCNQ1, CDKN2A/2B, CDKAL1, HHEX, MTNR1B, SLC30A8, TCF7L2, and UBE2E2 on risk of developing type 2 diabetes in Thai population. BMC Med Genet 19(1):93

    Google Scholar 

  20. Nurgul S, Aisha I, Nuria S-M et al (2017) Association between 28 single nucleotide polymorphisms and type 2 diabetes mellitus in the Kazakh population. BMC Med Genet 18:76

    Google Scholar 

  21. Rane SG, Dubus P, Mettus RV, Galbreath EJ, Boden G, Reddy EP et al (1999) Loss of Cdk4 expression causes insulin-deficient diabetes and Cdk4 activation results in beta-islet cell hyperplasia. Nat Genet 22:44–52

    CAS  Article  Google Scholar 

  22. Rita N, Almawi AW, Akram E et al (2012) Replication study of common variants in CDKAL1 and CDKN2A/2B genes associated with type 2 diabetes in Lebanese Arab population. Diabet Res Clin Pract 95:e37–e40

    Article  Google Scholar 

  23. Sarah L, O’Beirne L, Salit J, Rodriguez-Flores JL et al (2016) Type 2 diabetes risk allele loci in the Qatari population. PLoS ONE 11(7):e0156834

    Article  Google Scholar 

  24. Sawsan A, Woodhouse N, Al-Mamari A et al (2015) Association of gene variants with susceptibility to type 2 diabetes among Omanis. World J Diabetes 6(2):358–366

    Article  Google Scholar 

  25. Yahui K, Sharma RB, Ly S, Stamateris RE, Jesdale WM, Alonso LC (2018) CDKN2A/B T2D genome-wide association study risk SNPs impact locus gene expression and proliferation in human islets. Diabetes 67:872–884

    Article  Google Scholar 

  26. Zeggini E, Weedon MN, Lindgren CM, Frayling TM, Elliott KS et al (2007) Replication of genome-wide association signals in UK samples reveals risk loci for type 2 diabetes. Science 316:1336–1341

    CAS  Article  Google Scholar 

Download references

Author information

Affiliations

  1. Department of Biochemistry, Faculty of Medicine, College of Medicine, University of Kufa, Najaf, Iraq

    Hussein K. Fadheel, Ahmed N. Kaftan, Majid K. Hussain, Abdul Hussein A. Algenabi, Hamza J. Mohammad & Thekra A. Al-Kashwan

  2. Najaf Health Directorate, Najaf, Iraq

    Farah H. Naser

Authors
  1. Hussein K. Fadheel
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Ahmed N. Kaftan
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Farah H. Naser
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Majid K. Hussain
    View author publications

    You can also search for this author in PubMed Google Scholar

  5. Abdul Hussein A. Algenabi
    View author publications

    You can also search for this author in PubMed Google Scholar

  6. Hamza J. Mohammad
    View author publications

    You can also search for this author in PubMed Google Scholar

  7. Thekra A. Al-Kashwan
    View author publications

    You can also search for this author in PubMed Google Scholar

Contributions

All authors read and approved the final manuscript.

Corresponding author

Correspondence to Ahmed N. Kaftan.

Ethics declarations

Competing interests

The authors declare that they have no competing interests.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.

Reprints and Permissions

About this article

Verify currency and authenticity via CrossMark

Cite this article

Fadheel, H.K., Kaftan, A.N., Naser, F.H. et al. Association of CDKN2A/B gene polymorphisms (rs10811661 and rs2383208) with type 2 diabetes mellitus in a sample of Iraqi population. Egypt J Med Hum Genet 23, 64 (2022). https://doi.org/10.1186/s43042-022-00283-z

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1186/s43042-022-00283-z

Keywords

  • CDKN2A/B
  • T2DM
  • Polymorphism