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An SNP array is a useful tool for studying slight variations between whole genomes. The most important clinical applications of SNP arrays are for determining disease susceptibility [5] and for measuring the efficacy of drug therapies designed specifically for individuals. [6] In research, SNP arrays are most frequently used for genome-wide ...
SNP genotyping is the measurement of genetic variations of single nucleotide polymorphisms (SNPs) between members of a species. It is a form of genotyping, which is the measurement of more general genetic variation. SNPs are one of the most common types of genetic variation.
Technically the term SNP only refers to these kinds of variations, however in practice they are often used synonymously with SNV in the literature on variant calling. In addition, since the detection of germline SNVs requires determining the individual's genotype at each locus, the phrase "SNP genotyping" may also be used to refer to this process.
In the field of genetic sequencing, genotyping by sequencing, also called GBS, is a method to discover single nucleotide polymorphisms (SNP) in order to perform genotyping studies, such as genome-wide association studies . [1] GBS uses restriction enzymes to reduce genome complexity and genotype multiple DNA samples. [2]
The tag sequences from the four nucleotide-specific reactions are then hybridized to either four genotyping arrays or two, dual-colour arrays (one channel for each reaction). Analyzing which spots on the array are bound by the tags allows the determination of the SNP identities at the genomic loci represented by those tags.
Data analysis for an array-based DNA copy number test can be very challenging though due to very high volume of data that come out of an array platform. BAC (Bacterial Artificial Chromosome) arrays were historically the first microarray platform to be used for DNA copy number analysis. This platform is used to identify gross deletions or ...
Genotyping by next generation sequencing using SNPs is expensive, time-consuming, and has some missing data. There are many other SNP techniques that can be used depending on the purpose of the research considering throughput, data turnaround time, ease of use, performance (sensitivity, reliability, reproducibility, accuracy) flexibility ...
SNPs are the most common genetic variant found in all individual with one SNP every 100–300 bp in some species. [4] Since there is a massive number of SNPs on the genome, there is a clear need to prioritize SNPs according to their potential effect in order to expedite genotyping and analysis. [5]