You can now view SNP variation data for many commonly studied animals and plants – including mouse, cow, Drosophila, Arabidopsis, maize, cabbage, and many more – in the Genome Data Viewer (GDV) and other graphical sequence viewers. This data is streamed from the European Variation Archive (EVA) at the European Bioinformatics Institute (EBI).
On any NCBI graphical sequence view you can use the Configure Tracks menu and the Track Configuration Panel to add the track for the EVA RefSNP data. This track is available through the left-hand tab for Remote Variation Data (Figure 1). The EVA RefSNP track displayed on the pig (Sus scrofa) chromosome 12 graphical view is shown in Figure 2.
Figure 1. The Track Configuration panel showing the Remote Variation Data tab and he EVA RefSNP Release 1 track. Select the track checkbox and click Configure to load the track.
Figure 2. The graphical sequence viewer showing the region of the growth hormone gene on pig chromosome 12 (NC_010454.4) with the EVA RefSNP Release 1 track at the bottom. The track header has an (R) and a green highlight to indicate that it is remote data streamed from an external website. NCBI is not responsible for the content or availability of these data.
Please contact us using the Feedback link on the graphical view to let us know what you think and how we can further improve your experience with the NCBI genome browsers and graphical sequence viewers
dbVar, NCBI’s database of large-scale genetic variants, has a new track hub for viewing and downloading structural variation (SV) data in popular genome browsers. Initial tracks include Clinical and Common SV datasets. dbVar’s new track hub can be viewed using NCBI’s Genome Data Viewer through the “User Data and Track Hubs” feature (Figure 1) and other genome browsers by selecting “dbVar Hub” from the list of public tracks or by specifying the following URL.
On Wednesday, April 22, 2020 at 12 PM, join NCBI staff to learn how results from the Allele Frequency Aggregator (ALFA) project will help you interpret the biological impact of common and rare sequence variants. ALFA’s initial release includes analysis of genotype data from ~100K unrestricted dbGaP subjects and provides high-quality allele frequency data now displayed on relevant dbSNP records. In this webinar, you will learn about the data in the recent ALFA release, see how to access the data from the web, FTP, and how to programmatically retrieve data by positions, genes, and other attributes using E-utilities and Variation Services API in Python.
Date and time: Wed, Apr 22, 2020 12:00 PM – 12:45 PM EDT
After registering, you will receive a confirmation email with information about attending the webinar. A few days after the live presentation, you can view the recording on the NCBI YouTube channel. You can learn about future webinars on the Webinars and Courses page.
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.
Figure 1. ALFA allele frequencies for a variant (rs4988235) in the promotor of the lactase gene showing frequency differences across populations.
We have added a new feature to ClinVar that allows you to follow a particular variant and be notified if the overall clinical interpretation in ClinVar changes, for example from a pathogenic category to a non-pathogenic one. This service will let you know about changes that may require you to update your analysis reports and contact your patients and ordering physicians. The new feature allows you to follow a variant from the variation page (Figure 1). Simply click the “Follow” button to begin receiving notifications.
Figure 1. A ClinVar variant page (VCV000541155.1) showing the ‘Follow’ button. The text on the button changes to ‘Following’ after you add it to your followed variants. Clicking ‘Following’ presents the option to ‘Unfollow’, which removes the variant from the followed list when clicked.
NCBI’s genome browsers and graphical sequence viewers now allow you to view BAM alignments sorted by haplotype tag. This option is useful for analyzing variants within a sequenced sample and can help you detect or validate structural variants.Figure 1. Remote BAM alignment data sorted by haplotype tag in the Genome Data Viewer. The remote BAM file was added through the “User Data and Track Hubs” feature in GDV. You can load the remote BAM for this example through https://go.usa.gov/xpM9c. The sorted display shows that haplotype 1 contains a significant deletion in this region relative to haplotype 2 and the reference genome assembly. Aligned reads not assigned a haplotype tag in the BAM file are grouped under the heading “haplotype not set” (not shown).
ClinVar is proud to announce the submission of the one millionth record to its database.
The millionth submission was published on Friday, December 20, 2019, a milestone achievement for providing open access to human variant data with asserted consequence to the clinical genetics and research communities.
ClinVar extends its thanks to the many laboratories, partners, and members of the community whose efforts and adoption of the practice of data-sharing paved the way for this achievement. All organizations that contributed to ClinVar’s genetics resources share in this accomplishment, with special recognition reserved for ClinGen and several of their members, including EGL Genetic Diagnostics/Eurofins Clinical Diagnostics, GeneDx, Invitae, and Laboratory for Molecular Medicine/Partners HealthCare Personalized Medicine, whose early submissions helped jump-start ClinVar’s database.
On Wednesday, December 4, 2019 at 12 PM, NCBI staff will present a webinar on the population variation datasets at NCBI such as 1000 Genomes, ExAC, GnomAD, and TopMed that are currently included on dbSNP records. You will learn how to find the data, and how you can used this information to interpret and prioritize variants for further study. You will also see a preview a new initiative, the dbGaP Allele Frequency Aggregator (ALFA), that is based on more than 150,000 subjects in 60 dbGaP studies.
Date and time: Wed, Dec 4, 2019 12:00 PM – 12:45 PM EDT
dbSNP was established in August 1999 as a collaboration between NCBI and the National Human Genome Research Institute (NHGRI) as a database of small scale nucleotide variants. The database includes both common and rare single-base nucleotide variation (SNV), short (=< 50bp) deletion/insertion polymorphisms, and other classes of small genetic variations.