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March 1, 2002Genome Research704 citationsOpen Access

Accounting for Human Polymorphisms Predicted to Affect Protein Function

PNPauline C. NgSHSteven Henikoff

Key Points

  • To determine the proportion of human nonsynonymous single-base nucleotide polymorphisms that disrupt protein function and estimate the actual burden of damaging variants in the human genome.
  • Analyzed N=3,084 nonsynonymous single-base nucleotide polymorphisms (nsSNPs) retrieved from the public dbSNP database.
  • Applied the SIFT (Sorting Intolerant From Tolerant) sequence homology algorithm to predict functional consequences on protein products.
  • Assessed predicted damaging variants against known disease-associated alleles and potential sequencing discovery artifacts.
  • SIFT predicted that 25% of the 3,084 evaluated nsSNPs impair normal protein function.
  • Damaging predictions encompassed confirmed disease-associated alleles as well as discovery artifacts, indicating that individual human genomes carry substantially fewer damaging nsSNPs than previous estimates of several thousand.

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.

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Cite This Study

Ng et al. (2002) studied this question.

synapsesocial.com/papers/6a0b91069ead71e723c1fd05https://doi.org/10.1101/gr.212802
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