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New method developed for ranking disease-causal mutations within whole genome sequences
Date:2/7/2014

ed natural selection, which tends to remove harmful, disease-causing variants, while simulated variants are not exposed to selection. Thus, by comparing observed to simulated variants, CADD is able to identify those properties that make a variant harmful or disease-causing. C scores have been pre-computed for all 8.6 billion possible single nucleotide variants and are freely available for researchers.

"We didn't know what to expect," Cooper said, "but we were pleasantly surprised that CADD was able not only to be applicable to mutations everywhere in the genome but in fact do a substantially better job in nearly every test that we performed than other metrics."

The CADD method is unique from other algorithms in that it assigns scores to mutations anywhere in human genomes, not just the less-than two percent that encode proteins (the "exome"). This unique attribute will be crucial as whole-genome sequencing becomes routine in both clinical and research settings.


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Contact: Beth Pugh
bpugh@hudsonalpha.org
256-975-3414
HudsonAlpha Institute for Biotechnology
Source:Eurekalert

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