X-CAP improves pathogenicity prediction of stopgain variants.
X-CAP improves pathogenicity prediction of stopgain variants.
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DOI:
10.1186/s13073-022-01078-y
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发表时间:
2022-07-29
期刊:
影响因子:
12.3
通讯作者:
中科院分区:
文献类型:
--
作者:
Stopgain substitutions are the third-largest class of monogenic human disease mutations and often examined first in patient exomes. Existing computational stopgain pathogenicity predictors, however, exhibit poor performance at the high sensitivity required for clinical use. Here, we introduce a new classifier, termed X-CAP, which uses a novel training methodology and unique feature set to improve the AUROC by 18% and decrease the false-positive rate 4-fold on large variant databases. In patient exomes, X-CAP prioritizes causal stopgains better than existing methods do, further illustrating its clinical utility. X-CAP is available at https://github.com/bejerano-lab/X-CAP. The online version contains supplementary material available at (10.1186/s13073-022-01078-y).
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影响因子:
30.8
作者:
Lindeboom, Rik G. H.;Vermeulen, Michiel;Supek, Fran
通讯作者:
Supek, Fran
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64.8
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--
DOI:
10.1146/annurev-genom-091212-153527
发表时间:
2014
影响因子:
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通讯作者:
Bedwell DM
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通讯作者:
MacArthur, Daniel G
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4.5
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通讯作者:
Rioux JD