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.
LBX1 is a developmental gene involved in skeletal muscle development and somatosensory functioning and proven to be an important gene involved in Adolescent Idiopathic Scoliosis (AIS) etiology. Variant rs11190870 is located 7.5 kb downstream of LBX1 gene and is part of haplotype that is reported to provide risk for AIS. Several studies, including various Genome Wide Association, replication and meta-analyses studies have implicated its association with AIS in different populations. However, any such study is altogether lacking in South-Asian Indian populations. In this first genetic association study for AIS from the region, we tried to replicate association of variant rs11190870 in 95 AIS cases and 282 healthy non-AIS controls from Northwest India. The genotyping was carried out on a Realtime PCR using TaqMan allele discrimination assay and the variant was found to be following Hardy Weinberg equilibrium. The statistical analyses of the genotyping data did not show significant association (p=0.66) of variant rs11190870 with AIS in the population of Northwest India. The results are interesting findings in a population that has never been studied before for AIS susceptibility. However, the findings can be attributed to under power study thus, need evaluation in a large sample set from the population. Interestingly, frequency distribution of the variant in Indian control population datasets was found to be different than other global populations. Linkage Disequilibrium (LD) differences in the genomic region were also observed in these populations while analysing 1000Genomes phase 3 data. It hints at existence of either haplotypic differences in LBX1 locus in South-Asian Indian populations with respect to other populations or genetic heterogeneity in AIS susceptibility. This lays a foundation for genome wide association study (GWAS) in Indian populations cohort, for better understanding of AIS, a task we are pursuing.
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