Abstract. Objectives:The aims of this study are to (1) study the influence of polymorphisms in adiponectin gene on adiponectin levels and potential associations with breast, prostate and colon cancer; (2) investigate the associations of adiponectin levels with other adipokines and breast, prostate and colon cancers. Subjects: We measured fasting adiponectin, leptin, insulin, Sex steroids in 132 (66 females, 66 males) cancer patients and 68 age and sex matched apparently healthy subjects. Body Mass Index (BMI) and waist circumference were used as indices of obesity. Insulin Resistance was assessed using Homeostasis Model Assessment (HOMA). Three single nucleotide polymorphisms (SNP rs182052 (G-10066-A), SNP rs1501299 (276G > T), SNP rs224176 (45T > G) in adiponectin gene were studied using Real Time Polymerase Chain Reaction. Results: GG genotype of SNP rs1501299 was significantly associated with higher levels of adiponectin (OR = 1.2, 95%CI(1.03-1.3), p = 0.02); breast (OR = 8.6, 95%CI(1.03-71), p = 0.04), colon cancers (OR = 12, 95%CI(1.2-115), p = 0.03). GT genotype was also associated significantly with colon cancer (OR = 2.6, 95%CI (1.1-6), p = 0.03). However SNP rs224176 was associated with only breast cancer. Conclusion: Our results demonstrate that adiponectin gene SNP rs1501299 and SNP rs224176 may be the predisposing factors in some cancers but our results differ from what has been reported in other populations suggesting a complex relationship between genetic variations and phenotypic adiponectin levels.
Previous Studies have mapped putative loci that may probably regulate leukocyte telomere length (LTL). The strongest associations with LTL were reported for SNP rs12696304 and rs16847897 near the non-coding Ribose Nucleic Acid (RNA) molecule component (TERC) of telomerase enzyme on 3q26. It is unclear whether these identified loci coding functional components of telomerase, exert a similar effect on LTL in other populations or influence risk factors of Type 2 Diabetes Mellitus (T2DM). The present study was performed to: study the influence of TERC polymorphisms on LTL, human telomerase reverse transcriptase (hTERT), indices of obesity and explore the potential associations with T2DM. 225 T2DM patients and 245 age and sex matched controls were studied. Allelic Discrimination (AD) genotyping was utilized to determine TERC SNPs [rs12696304 and rs16847897]. hTERT, adiponectin, Insulin, Homeostasis Model Assessment (HOMA-IR), and LTL were measured. Body Mass Index (BMI) and waist circumference (WC) were recorded. [CC] genotype of rs16847897 was significantly associated with shorter LTL [OR = 1.6, p = 0.004], lower hTERT levels [OR = 0.4, p = 0.006], higher BMI [OR = 2.2, p = 0.006], larger WC [OR = 23.4, p = 0.007] and hypo-adiponectemia [OR = 0.6, p = 0.006]. [GG] genotype of rs12696304 was also significantly associated with shorter LTL [OR = 1.5, p = 0.004], lower hTERT [OR = 0.7, p = 0.006] but with larger WC[OR = 5.3, p = 0.004]. [CC] genotype of rs16847897 and [GG] genotype of rs12696304 together increased the risk of T2DM significantly [OR = 1.7, p = 0.004]. We provide insights connecting a structure that is critically involved in maintaining genomic stability with obesity and T2DM. Given the central role of telomere length in determining telomere function our findings may expand our understanding of the pathological mechanisms underlying age associated conditions such as T2DM.
This study aims to estimate the prevalence rates of β-thalassemia and Sickle cell disorders in the adult population screened (n = 275,819) as part of the Kuwaiti National Premarital Screening Program. All the individuals who applied for a marriage license during the years 2009 and 2020 were covered by the program. A network of four reception centers in the Ministry of Health facilities and one Premarital Diagnostic Laboratory (PDL) in Maternity Hospital were involved in performing all investigations for hemoglobinopathies. The total number of individuals identified with β-thal trait was 5861 (2.12%), while 22 individuals (0.008%) were diagnosed with β-thal disease. A total of 5003 subjects (1.81%) were carrying the Sickle cell trait, while 172 subjects (0.062%) had Sickle cell disease including Sickle cell anemia (SS). Results showed that the program succeeded indeed in preventing the marriage of 50.4% of risky couples by issuing unsafe marriage certificates. Yet more efforts are needed to improve the program’s main objective of decreasing high-risk marriages. In particular, health care systems should be ameliorated in a way to intensify the counselling mechanism for the high-risk couples, strengthen the awareness of the general population and induce earlier age screening policies.
Hemoglobin genotype and HBB haplotype are established genetic factors that modify the clinical phenotype in sickle cell disease (SCD). Current methods of establishing these two factors are cumbersome and/or prone to errors. The throughput capability of next generation sequencing (NGS) makes it ideal for simultaneous interrogation of the many genes of interest in SCD. This study was designed to confirm the diagnosis in patients with HbSS and Sβ-thalassemia, identify any ß-thal mutations and simultaneously determine the ßS HBB haplotype. Illumina Ampliseq custom DNA panel was used to genotype the DNA samples. Haplotyping was based on the alleles on five haplotype-specific SNPs. The patients studied included 159 HbSS patients and 68 Sβ-thal patients, previously diagnosed using high performance liquid chromatography (HPLC). There was considerable discordance between HPLC and NGS results, giving a false +ve rate of 20.5% with a sensitivity of 79% for the identification of Sβthal. Arab/India haplotype was found in 81.5% of βS chromosomes, while the two most common, of the 13 β-thal mutations detected, were IVS-1 del25 and IVS-II-1 (G>A). NGS is very versatile and can be deployed to simultaneously screen multiple gene loci for modifying polymorphisms, to afford personalized, evidence-based counselling and early intervention.
Patients with sickle cell disease (SCD) in Kuwait have elevated HbF levels ranging from ~10–44%; however, the modulating factors are unclear. We investigated the association of single nucleotide polymorphisms (SNPs) at BCL11A, HBS1L-MYB and HBB with HbF levels in 237 Kuwaiti SCD patients, divided into 3 subgroups according to their HbF levels. Illumina Ampliseq custom DNA panel was used for genotyping and confirmed by arrayed primer extension or Sanger sequencing. In the BCL11A locus, the CC genotype of rs7606173 [χ2 = 16.5] and (GG) of rs10195871 [χ2 = 15.0] were associated with Hb-F1 and HbF-2 subgroups, unlike rs1427404-T [χ2 = 17.3], which showed the highest association across the three subgroups. HBS1L-MYB locus revealed 2 previously-described SNPs (rs66650371 [χ2 = 9.5] and rs35795442 [χ2 = 9.2]) and 2 previously-unreported SNPs, (rs13220662 [χ2 = 6.2] and rs1406811 [χ2 = 6.7]) that were associated with the HbF-3 subgroup, making this the key locus elevating HbF to the highest levels. HBB cluster variants were associated with lower levels of HbF (β = −1.1). We report four previously-unpublished variants showing significant association with HbF. Each of the three quantitative trait loci affects HbF levels differently; unique SNPs, especially in HBS1L-MYB, elevate HbF to the highest levels.
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