Abstract

A major interest in human genetics is to determine whether a nonsynonymous single-base nucleotide polymorphism (nsSNP) in a gene affects its protein product and, consequently, impacts the carrier's health. We used the SIFT (Sorting Intolerant From Tolerant) program to predict that 25% of 3084 nsSNPs from dbSNP, a public SNP database, would affect protein function. Some of the nsSNPs predicted to affect function were variants known to be associated with disease. Others were artifacts of SNP discovery. Two reports have indicated that there are thousands of damaging nsSNPs in an individual's human genome; we find the number is likely to be much lower.

Keywords

dbSNPBiologySingle-nucleotide polymorphismGeneticsNonsynonymous substitutionSNPAffect (linguistics)Human genomeGeneGenomeComputational biologyGenotype

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Publication Info

Year
2002
Type
article
Volume
12
Issue
3
Pages
436-446
Citations
700
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Closed

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Pauline C. Ng, Steven Henikoff (2002). Accounting for Human Polymorphisms Predicted to Affect Protein Function. Genome Research , 12 (3) , 436-446. https://doi.org/10.1101/gr.212802

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DOI
10.1101/gr.212802