d1480f47eaefcb26436f4818ea85befb187f1958 gperez2 Mon Feb 24 09:17:11 2025 -0800 Announcing the release of the enGenome VarChat track, refs #35081 diff --git src/hg/htdocs/goldenPath/newsarch.html src/hg/htdocs/goldenPath/newsarch.html index 0eb433811bf..93900cc6f20 100755 --- src/hg/htdocs/goldenPath/newsarch.html +++ src/hg/htdocs/goldenPath/newsarch.html @@ -51,30 +51,75 @@

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Smaller software changes are not announced here. A summary of the three-weekly release changes can be found here. For the full list of our daily code changes head to our GitHub page. Lastly, see our credits page for acknowledgments of the data we host.

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Feb. 24, 2025    enGenome VarChat track for human (hg38 and hg19)

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+We are happy to announce the release of the enGenome VarChat track for the +hg38/GRCh38 +and hg19/GRCh37 human assemblies, +available in the Variants in Papers superTrack. +VarChat is an open platform that +leverages the power of generative artificial intelligence to support the genomic variant +interpretation process by searching the available scientific literature for each variant and +condensing it into a brief yet informative text. +

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+The track shows how many papers the variant was observed in, its gene, its HGVS nomenclature, and +dbSNP rsID. Variants are color-coded based on the level of literature support, as shown in the +table below:

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ColorLevel of literature support
High: at least 25 papers mention the variant
Medium: between 10 and 24 papers mention the variant
Low: less than 10 papers mention the variant
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+We would like to thank VarChat for providing the data to UCSC. We would also like to thank Lou +Nassar, Max Haeussler, and Gerardo Perez for their efforts on this release.

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Feb. 14, 2025    CIViC track for hg19 and hg38 is now available

We are excited to announce the release of the CIViC track for hg19/GRCh37 and hg38/GRCh38. The Clinical Interpretation of Variants in Cancer (CIViC) is an online database of clinically relevant variant interpretations from expert- and crowd-sourced peer-reviewed literature, clinical trials, and some conference abstracts. The details page for a feature will list diseases and therapies that have been associated with a genomic variant. Visiting the CIViC page for a variant will allow browsing the Molecular Profiles associated with that variant, and in turn each Molecular Profile shows the Clinical Evidence and Assertions for various diseases and therapies.