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Background: MassARRAY (Agena Bioscience™) combines competitive PCR with MALDI-TOF mass spectrometry (MS) analysis that gives highly accurate, sensitive, and high-throughput methods for the quantitative analysis of variation of gene expression in multiple samples. SNPs (Single Nucleotide Polymorphisms) have a very high potential of discovering disease-gene relationships. SNP-genotyping through MassARRAY is not only a cost-effective genotyping method but also provides a platform to validate variants observed through a high-throughput Next-generation sequencing (NGS).Methods: In the present study, we have incorporated the use of matrix-assisted laser desorption/ionization-time of flight, mass spectrometry (MALDI-TOF) as a tool for differentiating genotypes based on the mass of variant. We have performed multiplex PCR and genotyped 12 SNPs in 758 samples (166 cases and 592 controls). The 12 studied SNPs were chosen with a rationale for their association with multiple cancers in literature.Results: This is the first study to explore these SNPs with esophageal cancer within the J&K population. Out of 12 SNPs, two SNPs rs12190287 of TCF21 and rs10046 of CYP19A1 were significantly associated with esophageal cancer with Odds Ratio (OR) 1.412 (1.09-1.8 at 95% CI, p = 0.008) and 1.54 (1.21-2.072 at 95% CI, p = 0.0007) within the population of Jammu and Kashmir.Conclusion: We explored 12 SNPs that were found to be associated with multiple cancers in literature with esophageal cancer within the population of J&K. This is the first study to find the relation of these SNPs with ESCC within the studied population. This study explores the relation of genetic and environmental factors with the ESCC susceptibility. [ABSTRACT FROM AUTHOR]

Background: Breast Cancer (BC) is associated with inherited gene mutations. High throughput genotyping of BC samples has led to the identification and characterization of biomarkers for the diagnosis of BC. The most common genetic variants studied are SNPs (Single Nucleotide Polymorphisms) that determine susceptibility to an array of diseases thus serving as a potential tool for identifying the underlying causes of breast carcinogenesis.Methods: SNP genotyping employing the Agena MassARRAY offers a robust, sensitive, cost-effective method to assess multiple SNPs and samples simultaneously. In this present study, we analyzed 15 SNPs of 14 genes in 550 samples (150 cases and 400 controls). We identified four SNPs of genes TCF21, SLC19A1, DCC, and ERCC1 showing significant association with BC in the population under study.Results: The SNPs were rs12190287 (TCF21) having OR 1.713 (1.08-2.716 at 95% CI) p-value 0.022 (dominant), rs1051266 (SLC19A1) having OR 3.461 (2.136-5.609 at 95% CI) p-value 0.000000466 (dominant), rs2229080 (DCC) having OR 0.6867 (0.5123-0.9205 at 95% CI) p-value 0.0116 (allelic) and rs2298881 (ERCC1) having OR 0.669 (0.46-0.973 at 95% CI), p-value 0.035 (additive) respectively. The in-silico analysis was further used to fortify the above findings.Conclusion: It is further anticipated that the variants should be evaluated in other population groups that may aid in understanding the genetic complexity and bridge the missing heritability. [ABSTRACT FROM AUTHOR]

Background: Leukemia is a heterogeneous disorder, characterized by elevated proliferation of white blood cells. Various genetic studies have assessed the contributory roles of several single nucleotide polymorphisms with the development of leukemia. The role of genetic variation in the ARID5B and IKZF1 genes has previously been identified in various population groups; however, the role of these variants in the north Indian populations of Jammu and Kashmir is unknown. Aim: In this study, we explored the association of the newly identified genetic variants, rs10740055 of ARID5B and rs6964823 of IKZF1, with leukemic patients from Jammu and Kashmir of northern India. Methods: The variants were genotyped using TaqMan allele discrimination assays for 616 individuals (210 leukemic cases and 406 healthy controls). The association of each SNP with the disease was evaluated using logistic regression. Results: It was observed that the variants rs6964823 (IKZF1) and rs10740055 (ARID5B) showed significant associations with odds ratio (OR) and p-values of 1.5 (1.0–2.3 at 95% confidence interval [CI]) and 0.04; and 2.5 (1.5–4.1 at 95% CI) and 0.0002, respectively. We also evaluated the cumulative effect for both the variants by combining the risk genotypes and obtained and OR of 4.9. Discussion: It was found that the variants rs10740055 of ARID5B and rs6964823 of IKZF1 act individually and additively as risk factors in the development of leukemia in the populations of Jammu and Kashmir in Northern India. [ABSTRACT FROM AUTHOR]