Accounting for Human Polymorphisms Predicted to Affect Protein Function
Fred Hutch Cancer Center · Howard Hughes Medical Institute
Indexed incrossrefpubmed
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.
Citation impact
703
total citations
- FWCI
- —
- Percentile
- —
- References
- 39
Citations per year
Authors
2Topics & keywords
Topics
Keywords
- dbSNP
- Biology
- Single-nucleotide polymorphism
- Genetics
- Nonsynonymous substitution
- SNP
- Affect (linguistics)
- Human genome
No related works found for this paper.