Tag: dbGaP Allele Frequency Aggregator (ALFA)

dbSNP human build 154 release + ALFA data

dbSNP human build 154, now available, includes new ALFA (Allele Frequency Aggregator) variants and allele frequency. This build contains over two billion Submitted SNP (ss) records and 730 million Reference SNP (rs) records.

New features include:

See the release notes for more information about what’s new in build 154.

The ALFA dataset: New aggregated allele frequency from dbGaP and dbSNP now available

NIH’s data sharing policy now allows unrestricted access to genomic summary results for data from NCBI’s Database of Genotypes and Phenotypes (dbGaP).  Pooled allele frequency data from dbSNP and the dbGaP summary results are available as the new Allele Frequency Aggregator (ALFA) dataset. The ALFA dataset includes aggregated and harmonized array chip genotyping, exome, and genome sequencing data. The ALFA data are open access and freely available for you to incorporate into your workflows and applications from the dbSNP web pages (Figure 1), through FTP,and the Variation Services API. dbGaP currently has data for more than 2 million study subjects, approximately 1 million of whom have genotype data that is suitable for input into the ALFA dataset. The first release of ALFA contains data on about 100,000 subjects, and we hope to complete processing of data on the other 925,000 subjects within the next year. This volume and variety of data promises unprecedented opportunities to identify genetic factors that influence health and disease.  Register to attend our April 22 webinar and read on to learn more.

ALFAFigure 1.  ALFA allele frequencies for a variant (rs4988235) in the promotor of the lactase gene showing frequency differences across populations.

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NCBI on YouTube: Get the most out of NCBI resources with these videos

Check out the latest videos on YouTube to learn how to best use NCBI graphical viewers, SRA, PGAP, and other resources.

Genome Data Viewer: Analyzing Remote BAM Alignment Files and Other Tips

This video shows you how to upload remote BAM files, and succinctly demonstrates handy viewer settings, such as Pileup display options, and highlights the very helpful tooltips in the Genome Data Viewer (GDV). There’s also a brief blog post on the same topic.

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