SNP Genotype Analysis

SNP genotyping is an essential tool which can help us understand the complex processes that can lead to disease. Fios Genomics offers a high-quality SNP genotyping analysis service in which we can help with all aspects of your study.

View the Fios Genomics workflow here.

• Experimental Design Consultation

  Careful experimental design is the first key step in getting the most from genotyping study. We offer a Consultation Service to assist you in the choice of genotyping study, advice on wet lab service providers and options for balanced and statistically sound experimental design.

• Genotype calls

  Quick, accurate and reliable genotype calling is an essential component of any genotyping study.

• Genome-wide association studies (GWAS)

  Many diseases have a hereditary component to them. Using GWAS we are able to rapidly identify variations across the genomes of your disease population.

• Copy number variation (CNV) analysis

  Following the sequencing of the human genome it was found that large segments of DNA could vary in their copy number. CNVs can encompass genes, meaning that instead of two copies of a gene the gene may be completely missing, occur only once, or occur three or more times. The majority of CNVs do not cause disease, but it has been demonstrated that Alzheimer's Disease and Parkinson's Disease can be caused by copy number variation.

• SNP filtering

  Filtering SNPs is an essential stage in SNP genotyping quality control. Using criteria such as the Hardy-Weinberg Equilibrium, Minor Allele Frequency and Monomorphism we are able to remove poor quality markers from your analysis.

• Linkage disequilibrium

  Linkage disequilibrium describes the situation in which the haplotype frequencies in a population deviate from the values than would have been expected if the genes at each locus were combined at random.

• Haplotype analysis

  Haplotype analysis can reveal more about your association study, but can be a challenge. Allow us to perform this analysis and get more from your study.