7e925f3a94c8253930cc591727980af204b95f04 lrnassar Tue Jul 15 15:03:43 2025 -0700 Fixing MCAP track that linked to MutScore, refs #35806 #35922 diff --git src/hg/htdocs/goldenPath/newsarch.html src/hg/htdocs/goldenPath/newsarch.html index 4ce96db0343..8ca8cb9b787 100755 --- src/hg/htdocs/goldenPath/newsarch.html +++ src/hg/htdocs/goldenPath/newsarch.html @@ -65,31 +65,31 @@ <a name="2025"></a> <a name="071525"></a> <h2>July 15, 2025 New pathogenicity prediction scores for human: MutScore and M-CAP</h2> <p> We have two new pathogenicity prediction score tracks available in our <a href="/cgi-bin/hgTrackUi?db=hg19&position=default&g=predictionScoresSuper" target="_blank">Deleteriousness Predictions</a> super track.</p> <ul> <li><a href="/cgi-bin/hgTrackUi?db=hg19&position=default&g=mutScore" target="_blank">MutScore</a> (hg19/hg38) - MutScore is a pathogenicity predictor that integrates unsupervised features of single DNA variants with information derived from such clusters. The predictive model for MutScore was trained with a random forest approach on medically-relevant mutations and subsequently tested against various genomic databases for both hereditary conditions and cancer (ClinVar, HGMD, and DoCM) to achieve high performance.</li> -<li><a href="/cgi-bin/hgTrackUi?db=hg19&position=default&g=mutScore" +<li><a href="/cgi-bin/hgTrackUi?db=hg19&position=default&g=mcap" target="_blank">M-CAP</a> (hg19) - M-CAP is a pathogenicity classifier for rare missense variants tuned to the high sensitivity required in the clinic. By combining previous pathogenicity scores (including SIFT, Polyphen-2 and CADD) with novel features and a powerful model, it yields an effective classifier, reducing a typical exome/genome rare (<1%) missense variant (VUS) list from 300 to 120, while never mistaking 95% of known pathogenic variants as benign.</li></ul> <p> See the track description page for more information and interpretation guidelines.</p> <p> We would like to thank the authors of <a href="https://mutscore.iob.ch/" target="_blank">MutScore</a> and <a href="http://bejerano.stanford.edu/mcap/" target="_blank">M-CAP</a> for creating and providing these data. We would also like to thank Max Haeussler and Lou Nassar for the development and release of these tracks.</p> <a name="070925"></a>