We evaluated the associations between single nucleotide polymorphisms and different clinical parameters related to type 2 diabetes mellitus (T2DM), obesity risk, and metabolic syndrome (MS) in a Kazakh cohort. A total of 1336 subjects, including 408 T2DM patients and 928 control subjects, were recruited from an outpatient clinic and genotyped for 32 polymorphisms previously associated with T2DM and obesity-related phenotypes in other ethnic groups. For association studies, the chi-squared test or Fisher’s exact test for binomial variables were used. Logistic regression was conducted to explore associations between the studied SNPs and the risk of developing T2DM, obesity, and MS, after adjustments for age and sex. After excluding four SNPs due to Hardy-Weinberg disequilibrium, significant associations in age-matched cohorts were found betweenT2DM and the following SNPs: rs9939609 (FTO), rs13266634 (SLC30A8), rs7961581 (TSPAN8/LGR5), and rs1799883 (FABP2). In addition, examination of general unmatched T2DM and control cohorts revealed significant associations between T2DM and SNPsrs1799883 (FABP2) and rs9939609 (FTO). Furthermore, polymorphisms in the FTO gene were associated with increased obesity risk, whereas polymorphisms in the FTO and FABP2 genes were also associated with the risk of developing MS in general unmatched cohorts. We confirmed associations between polymorphisms within the SLC30A8, TSPAN8/LGR5, FABP2, and FTO genes and susceptibility to T2DM in a Kazakh cohort, and revealed significant associations with anthropometric and metabolic traits. In particular, FTO and FABP2 gene polymorphisms were significantly associated with susceptibility to MS and obesity in this cohort.

Kazakhstan remains a high-burden TB prevalence country with a concomitent high-burden of multi-drug resistant tuberculosis. For this reason, we performed an in depth genetic diversity and population structure characterization of Mycobacterium tuberculosis complex (MTC) genetic diversity in Kazakhstan with both patient and community benefit. A convenience sample of 700 MTC DNA cultures extracts from 630 tuberculosis patients recruited from 12 out of 14 regions in Kazakhstan, between 2010 and 2015, was independently studied by high-throughput hybridization-based methods, TB-SPRINT (59-Plex, n = 700), TB-SNPID (50-Plex, n = 543). DNA from 391 clinical isolates was successfully typed by two methods. To resolve the population structure of drug-resistant clades in more detail two complementary assays were run on the L2 isolates: an IS6110-NTF insertion site typing assay and a SigE SNP polymorphism assay. Strains belonged to L2/Beijing and L4/Euro-American sublineages; L2/Beijing prevalence totaled almost 80%. 50% of all samples were resistant to RIF and to INH., Subtyping showed that: (1) all L2/Beijing were “modern” Beijing and (2) most of these belonged to the previously described 94–32 sublineage (Central Asian/Russian), (3) at least two populations of the Central Asian/Russian sublineages are circulating in Kazakhstan, with different evolutionary dynamics. For the first time, the global genetic diversity and population structure of M. tuberculosis genotypes circulating in Kazakhstan was obtained and compared to previous local studies. Results suggest a region-specific spread of a very limited number of L2/Beijing clonal complexes in Kazakhstan many strongly associated with an MDR phenotype.

Background/Objectives: Severe early-onset obesity is a complex condition shaped by genetic and metabolic influences. The melanocortin 4 receptor (MC4R) gene plays a crucial role in energy balance, and pathogenic variants are associated with monogenic forms of obesity. This study aims to examine the clinical, metabolic, and genetic characteristics of a patient with severe early-onset obesity and his family, to assess the contribution of an MC4R variant to the observed phenotype. Methods: A 22-year-old male with severe obesity, first recognized at age 3, underwent detailed clinical, metabolic, and genetic evaluations. Laboratory assessments included insulin, lipid profile, uric acid, and IGF-1 levels. Whole-exome sequencing (WES) was performed on the patient and selected family members to identify potential pathogenic variants associated with obesity. Results: Clinical assessment revealed a body mass index (BMI) of 44.68 kg/m2, hyperinsulinemia (98.2 µIU/mL), prediabetes (HbA1c: 5.85%), dyslipidemia, hyperuricemia (421.0 µmol/L), and elevated IGF-1 levels (646.7 ng/mL). WES identified a heterozygous MC4R:c.216C>G (p.Asn72Lys) variant present in the patient, his mother, and maternal relatives. This variant, with a population frequency of 0.0004%, is predicted as likely pathogenic by SIFT, MutationTaster, and PrimateAI. However, its segregation pattern suggests a complex inheritance mechanism rather than classical autosomal dominant or recessive inheritance. Conclusions: Early genetic testing in individuals with severe obesity is essential for guiding personalized treatment strategies. Although the MC4R:c.216C>G variant may contribute to the patient’s metabolic profile, further functional studies are required to confirm its pathogenicity and elucidate its role in obesity pathogenesis.