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Background: Leucine‑rich repeat and fibronectin type 2 gene (LRFN2) variant rs2494938 has recently been found associated with esophageal cancer in a genome‑wide association study in an Asian population. However, this association has not been replicated in any Indian population despite high incidence of the disease. Materials and Methods: In the present case–control study, 166 cases and 459 controls were included. Taqman assay technique using real‑time PCR was employed to investigate the association of the variant with esophageal cancer in the population of Jammu and Kashmir (J&K). The Hardy‑Weinberg equilibrium for rs2494938 was assessed using the Chi‑square test. The allele‑ and genotype‑specific risk was estimated by odds ratio (OR) with 95% confidence interval (CI). Results: Variant rs2494938 was observed to be significantly associated with esophageal cancer with an allelic OR of 1.59 (1.23–2.04 at 95% CI, P = 0.0003). Conclusion: The study highlights LRFN2 as a candidate gene for esophageal cancer susceptibility in the population of J&K and calls for a detailed study with a large sample size and involving more ethnic groups of India. [ABSTRACT FROM AUTHOR]

Background: Leucine-rich repeat and fibronectin type 2 gene (LRFN2) variant rs2494938 has recently been found associated with esophageal cancer in a genome-wide association study in an Asian population. However, this association has not been replicated in any Indian population despite high incidence of the disease.Materials and Methods: In the present case-control study, 166 cases and 459 controls were included. Taqman assay technique using real-time PCR was employed to investigate the association of the variant with esophageal cancer in the population of Jammu and Kashmir (J&K). The Hardy-Weinberg equilibrium for rs2494938 was assessed using the Chi-square test. The allele- and genotype-specific risk was estimated by odds ratio (OR) with 95% confidence interval (CI).Results: Variant rs2494938 was observed to be significantly associated with esophageal cancer with an allelic OR of 1.59 (1.23-2.04 at 95% CI, P = 0.0003).Conclusion: The study highlights LRFN2 as a candidate gene for esophageal cancer susceptibility in the population of J&K and calls for a detailed study with a large sample size and involving more ethnic groups of India. [ABSTRACT FROM AUTHOR]

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]

Objective: To investigate the association of newly identified genetic variants G>A (rs2285947) of the DNAH11 gene and G>A (rs2494938) of the LRFN2 gene with ovarian and breast cancers in women belonging to Jammu and Kashmir state, where the prevalence of ovarian and breast cancers is remarkably high in the population.Methods: A candidate gene prospective case-control association study design was adopted, in which 354 cases (219 cases of ovarian cancer and 135 cases of breast cancer) were histopathologically confirmed and 330 healthy controls matched for age and ethnicity were recruited. The details of cases and controls were also recorded in a predesigned pro forma after their written informed consent. Both variants were genotyped by TaqMan allele discrimination assay using real-time polymerase chain reaction. Logistic regression analysis was performed to estimate the corrected odds ratio (OR), confidence interval (CI), and level of significance (P value) for potential confounding factors.Results: The rs2285947 variant of DNAH11 was found to be significantly associated with both ovarian and breast cancers with adjusted ORs of 1.7 (95% CI 1.2-2.4; P=0.004) and 1.70 (95% CI 1.13-2.54; P=0.0009), respectively. However, no significant association of variant rs2494938 of LRFN2 was observed with ovarian cancer (estimated OR 0.9, 95% CI 0.6-1.4; P=0.919) or breast cancer (estimated OR 1.27, 95% CI 0.8-1.9; P=0.216).Conclusions: The collected data proposed that the variant rs2285947 of DNAH11 gene is a potential risk factor for ovarian and breast cancers in the studied population. [ABSTRACT FROM AUTHOR]