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b) dbSNP compiles identical ss# records into one reference SNP cluster (rs#) containing data from each ss#. c) Users can retrieve data for specific rs# records and analyze these variations. d) Data from dbSNP aids clinical and applied research. The ss# and rs# IDs in this figure are examples only.
Single nucleotide polymorphism annotation (SNP annotation) is the process of predicting the effect or function of an individual SNP using SNP annotation tools. In SNP annotation the biological information is extracted, collected and displayed in a clear form amenable to query.
For example, for the table_annovar.pl program, if the input file is VCF, then the output will also be a VCF file. If the input file is of the ANNOVAR input format type, then the output will be a TSV by default, with the option to output to CSV if the -csvout parameter is specified.
A tag SNP is a representative single-nucleotide polymorphism in a region of the genome with high linkage disequilibrium (the non-random association of alleles at two or more loci). Tag SNPs are useful in whole-genome SNP association studies, in which hundreds of thousands of SNPs across the entire genome are genotyped.
The Cancer Genome Atlas (TCGA): provides data from hundreds of cancer samples obtained using high-throughput techniques such as gene expression profiling, copy number variation profiling, SNP genotyping, genome-wide DNA methylation profiling, microRNA profiling, and exon sequencing of at least 1,200 genes
The SNP sites that partition the haplotypes into the same group are called redundant sites. The SNP sites which contain distinct information within a block are called non-redundant sites (NRS). In order to further compress the haplotype matrix, the algorithm needs to find the tag SNPs such that all haplotypes of the matrix can be distinguished.
1. Introduce the reference of a SNP of interest, as an example: rs429358, in a database (dbSNP or other). 2. Find MAF/MinorAlleleCount link. MAF/MinorAlleleCount: C=0.1506/754 (1000 Genomes, where number of genomes sampled = N = 2504); [4] where C is the minor allele for that particular locus; 0.1506 is the frequency of the C allele (MAF), i.e. 15% within the 1000 Genomes database; and 754 is ...
A SNP array can also be used to generate a virtual karyotype using software to determine the copy number of each SNP on the array and then align the SNPs in chromosomal order. [10] SNPs can also be used to study genetic abnormalities in cancer. For example, SNP arrays can be used to study loss of heterozygosity (LOH). LOH occurs when one allele ...