Single-nucleotide polymorphism

In genetics and bioinformatics, a single-nucleotide polymorphism (SNP /snɪp/; plural SNPs /snɪps/) is a germline substitution of a single nucleotide at a specific position in the genome. Although certain definitions require the substitution to be present in a sufficiently large fraction of the population (e.g. 1% or more),^[1] many publications^[2][3][4] do not apply such a frequency threshold.

For example, a G nucleotide present at a specific location in a reference genome may be replaced by an A in a minority of individuals. The two possible nucleotide variations of this SNP – G or A – are called alleles.^[5]

SNPs can help explain differences in susceptibility to a wide range of diseases across a population. For example, a common SNP in the CFH gene is associated with increased risk of age-related macular degeneration.^[6] Differences in the severity of an illness or response to treatments may also be manifestations of genetic variations caused by SNPs. For example, two common SNPs in the APOE gene, rs429358 and rs7412, lead to three major APO-E alleles with different associated risks for development of Alzheimer's disease and age at onset of the disease.^[7]

Single nucleotide substitutions with an allele frequency of less than 1% are sometimes called single-nucleotide variants (SNVs).^[8] "Variant" may also be used as a general term for any single nucleotide change in a DNA sequence,^[9] encompassing both common SNPs and rare mutations, whether germline or somatic.^[10][11] The term SNV has therefore been used to refer to point mutations found in cancer cells.^[12] DNA variants must also commonly be taken into consideration in molecular diagnostics applications such as designing PCR primers to detect viruses, in which the viral RNA or DNA sample may contain SNVs.^{[citation needed]} However, this nomenclature uses arbitrary distinctions (such as an allele frequency of 1%) and is not used consistently across all fields; the resulting disagreement has prompted calls for a more consistent framework for naming differences in DNA sequences between two samples.^[13][14]