e82a4ac369531f6515abf4f605a679e00578cb31 lrnassar Fri Oct 25 16:38:07 2019 -0700 News release for gnomAD refs #21782 diff --git src/hg/htdocs/goldenPath/newsarch.html src/hg/htdocs/goldenPath/newsarch.html index 6279243..5201d18 100755 --- src/hg/htdocs/goldenPath/newsarch.html +++ src/hg/htdocs/goldenPath/newsarch.html @@ -38,36 +38,67 @@
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Oct. 28, 2019    gnomAD data now available on human (GRCh38/hg38) assembly

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+We are pleased to announce the new gnomAD Variants super-track +for the Human (GRCh38/hg38) assembly. This super-track currently includes gnomAD v3 +and gnomAD v2.

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+gnomAD v3 +contains variants from 71,702 whole genomes (and no exomes), all mapped to the GRCh38/hg38 +reference sequence. For more information on gnomAD v3, see the following +blog post.

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+gnomAD v2 +is a composite of gnomAD Genome and Exome Variants v2.1. These two tracks contain variants from +125,748 exomes and 15,708 whole genomes, all mapped to the GRCh37/hg19 reference sequence and +lifted to the GRCh38/hg38 assembly. For more information on gnomAD v2.1, see the following +blog post.

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+Additional information, display conventions, and data access can be found on the +track description page.

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+We would like to thank the Genome Aggregation Database Consortium +for making these data available. We would also like to thank Kate Rosenbloom, +Angie Hinrichs, and Lou Nassar for their work on this release.

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Oct. 25, 2019    New Illumina Global Diversity Array for human (GRChg37/hg19)

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Oct. 25, 2019    New Illumina Global Diversity Array for human (GRCh37/hg19)

We are pleased to announce the release of the Illumina Global -Diversity Array (GDA) for human (GRChg37/hg19). This track is included in the SNP/CNV composite +Diversity Array (GDA) for human (GRCh37/hg19). This track is included in the SNP/CNV composite track under the Variation group.

The Global Diversity Array-8 v1.0 BeadChip includes coverage of the ACMG 59-gene clinical research variants and multi-ethnic, genome-wide content. The GDA is the commercial version of the array chosen by the All of Us Research Program and is designed to capture a wider range of the world's populationsthan traditional microarrays.

We would like to thank Jay Kaufman and John Picuri at Illumina for providing the data. We would also like to thank Brian Raney and Jairo Navarro at UCSC for creating and reviewing the tracks for hg19.