Predicting the effects of frameshifting indels.
Each human has approximately 50 to 280 frameshifting indels, yet their implications are unknown. We created SIFT Indel, a prediction method for frameshifting indels that has 84% accuracy. The percentage of human frameshifting indels predicted to be gene-damaging is negatively correlated with allele frequency. We also show that although the first frameshifting indel in a gene causes loss of function, there is a tendency for the second frameshifting indel to compensate and restore protein function. SIFT Indel is available at http://sift-dna.org/www/SIFT_indels2.html.
Department of Mathematics and Computer Science, Franklin and Marshall College, 415 Harrisburg Ave, Lancaster, PA 17603, USA.
Jing
J
Hu
Pauline C
PC
Ng
D000465:Algorithms; D000818:Animals; D044466:Asian People / Q000235:genetics; D044383:Black People / Q000235:genetics; D019295:Computational Biology; D016368:Frameshift Mutation / Q000235:genetics*; D005787:Gene Frequency; D015894:Genome, Human; D006801:Humans; D054643:INDEL Mutation / Q000235:genetics*; D011506:Proteins / Q000235:genetics*; D012984:Software; D044465:White People / Q000235:genetics
D011506:Proteins