Genotyping of single nucleotide polymorphisms using the SNP-RFLP method.

Area of Science:

• Genetics and Genomics
• Cancer Research
• Molecular Biology

Background:

• Genetic polymorphisms, particularly single nucleotide polymorphisms (SNPs), significantly contribute to individual differences in susceptibility to diseases like cancer.
• While environmental factors play a role, twin studies indicate that genetic variation is a more dominant factor in cancer development.
• Identifying specific SNPs is crucial for advancing cancer research and understanding disease etiology.

Purpose of the Study:

• To genotype 13 single nucleotide polymorphisms (SNPs) across 12 genes in HEK 293 and HeLa cell lines.
• To identify and characterize disease-associated risk alleles within these cell lines.
• To lay the groundwork for future gene therapy applications by understanding existing genetic variations.

Main Methods:

• Genotyping of 13 SNPs in 12 genes using the SNP-RFLP method in HEK 293 and HeLa cells.
• Validation of SNP-RFLP results for one SNP via Sanger sequencing.
• Analysis of SNP genotypes, including homozygous and heterozygous calls, and identification of risk alleles.

Main Results:

• Ten SNPs were homozygous and three were heterozygous in HEK 293 cells; 12 were homozygous and one was heterozygous in HeLa cells.
• Eight disease-associated risk alleles were identified across both cell lines, representing 32% of typed alleles.
• Four SNP loci exhibited different homozygous alleles between HEK 293 and HeLa cells, indicating distinct genetic profiles.

Conclusions:

• The study successfully genotyped 13 SNPs in HEK 293 and HeLa cells, identifying specific genetic variations and risk alleles.
• The identified genetic profiles of these cell lines provide a basis for future research.
• These findings have potential applications in testing novel gene therapeutic approaches by targeting identified risk alleles.