ArticleBMC cancer2020
MassARRAY-based single nucleotide polymorphism analysis in breast cancer of north Indian population.
Article in BMC cancer, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed, 13 citations in OpenAlex.
- Genetic Variations in the M6A Modification Pathway as Potential Predictors of Imatinib Secondary Resistance in Gastrointestinal Stromal Tumors.Journal of clinical medicine · 2026Article
- Development of a MassARRAY Genotyping Platform and Its Clinical Application for Venous Thromboembolism Risk Assessment in Thai Patients.Medical sciences (Basel, Switzerland) · 2025Article
- Tcf21 modulates fibroblast activation and promotes cardiac fibrosis after injury via Pdgfrb signaling.Scientific reports · 2025Article
- Development of a high-throughput MassARRAY-based single assay for the characterization of Streptococcus suis species and serotypes.Scientific reports · 2025Article
- North India Cancer Risk: A Detailed Review with Focus on Jammu and Kashmir Demographics.Asian Pacific journal of cancer prevention : APJCP · 2024Review
- Whole-Genome Resequencing Analysis of theInternational journal of molecular sciences · 2024Article
- Polymorphism rs2327430 in TCF21 predicts the risk and prognosis of gastric cancer by affecting the binding between TFAP2A and TCF21.Cancer cell international · 2024Article
- NME1 and DCC variants are associated with susceptibility and tumor characteristics in Mexican patients with colorectal cancer.Journal of the Egyptian National Cancer Institute · 2024Article
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Authors and funding
13 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundBreast 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.
methodsSNP 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.
resultsThe 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.
conclusionIt 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.
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