NCBI at ASHG 2018: Data and Clinical CoLabs introduce interactive graphical displays and medical genetics resources


As you know, NCBI will be attending American Society of Human Genetics (ASHG) 2018 in San Diego.

This year, we have two CoLabs – interactive sessions where you can learn about freely available NCBI tools and resources. Read on below for a description of each CoLab and join us at ASHG in two weeks!

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October 10 Webinar: Using NCBI Medical Genetics Resources: MedGen, ClinVar, GTR


Next Wednesday, October 10, 2018,  NCBI staff will show you how to use the NCBI resources MedGen, ClinVar, and GTR to locate records for a specified list of symptoms or clinical features, explore specific disease-causing variants, see the review status of the clinical significance for a genetic variant, and find tests relevant to a clinical feature, gene or disease. You will also learn which resource works best for different types of searches.

Date and time: Wed, Oct 10, 2018 12:00 PM – 12:45 PM EDT

Register

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.

Going to ASHG? Here’s a sneak peek at our ClinVar poster


This October, some NCBI staff will head out to present at the American Society of Human Genetics (ASHG) conference in sunny San Diego. Below, we give you an inside scoop on the ClinVar poster that we’ll present at ASHG.

Want to learn more about how you can submit phenotype and functional data? Or access the data?

Have we hooked you yet?

Head to Poster 1492T “Increasing phenotypic and functional evidence in ClinVar” on Thursday, Oct. 18 from 3 PM to 4 PM. (Exhibit Hall, Ground Floor)

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Standalone variation services replace Variation Reporter


As of July 2018, a new set of standalone variation services replaces the variant matching functions of Variation Reporter. Variation Reporter was a tool designed to search human sequence variation data by location and to report matching variants found in dbSNP, dbVar, and ClinVar.

The new services are faster, better at handling variants in repeat regions, and scalable to accommodate the continued explosive growth of variation volume. You can find more information about the services in the initial blog post and online SPDI document.

If you would like to report any issues related to these new services and/or would like to provide comments, please write to snp-admin@ncbi.nlm.nih.gov.

If you have any specific questions about the NCBI site in general, contact us at info@ncbi.nlm.nih.gov.

We appreciate your continued support and interaction with the NCBI tools.

Bioinformatics paper uses NCBI open data to analyze drug response


study (PMID: 28158543) published in the July 2017 issue of Bioinformatics collects, classifies and analyzes single nucleotide variants (SNVs) that may affect response to currently approved drugs. They identified 2,640 SNVs of interest, most of which occur rarely in populations (minor allele frequency <0.01).

The researchers used protein sequence alignment tools and mined open data from multiple information resources accessed through E-utilities including PubChem Compound (Kim et al., 2016 PMID: 26400175), NCBI Gene (Maglott D, et al., 2014. PMID: 25355515), NCBI Protein (Sayers, 2013), MMDB (Madej et al., 2012 PMID: 22135289), PDB (Berman et al., 2000 PMID: 10592235), dbSNP (Sherry et al., 2001 PMID: 11125122), and ClinVar (Landrum et al., 2016 PMID: 26582918).

Questions, comments, and other feedback may be sent to Yanli Wang.

5 NCBI articles in 2018 Nucleic Acids Research database issue


The 2018 Nucleic Acids Research database issue features several papers from NCBI staff that cover the status and future of databases including CCDS, ClinVar, GenBank and RefSeq. These papers are also available on PubMed. To read an article, click on the PMID number listed below.

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ClinVar Unveils New, More Intuitive Variation Display


ClinVar, NCBI’s database of clinically relevant genetic variations with supporting evidence, has redesigned its variation display, and welcomes your feedback. The new Variation in ClinVar (VCV) pages provide a better-organized, more-intuitive web display that makes it easy to quickly find the information you need.

In this blog post, we’ll take you through the new design using the example of a coding region variant (VCV000256160.1) in the ABCB4 gene.

ClinVar variation page alpha view. Accession number & feedback tab are circled to highlight them.

The redesign brings the most important information to the top of the display. There are two new fields: (1) the VCV accession number and version used to cite the record, and (2) a short description of the variation (e.g., 11.3 kb deletion, or haplotype) to make it easy to quickly see what type of variation the record represents.

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NCBI releases newly designed dbSNP RefSNP Report – Alpha version


NCBI dbSNP is pleased to announce a newly designed Reference SNP (RefSNP, rs) Report webpage to provide enhanced performance and presentation for access to individual RefSNP records. This Alpha version of the report enables browsing of submitted and computed RefSNP variant data from the redesigned dbSNP build system.

The new RefSNP report (alpha version). You can see all of the sections described in the blog post, like the summary section and the sidebar menu.

Figure 1. The dbSNP RefSNP Report Alpha for rs268.

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ClinVar Allele-Based Summaries Now Available for FTP Download


ClinVar, NCBI’s archive of submitted associations between alleles in the human genome and diseases or phenotypes, is now producing XML files that aggregate all submitted disease/phenotype information by variant (or set of variants) for public release via FTP bulk download. The new product, called ClinVarVariationRelease, is currently in beta release and will move to full release in early September 2017.

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NCBI Facilitates Hackathons at the Bio-IT World Conference and Silicon Valley Artificial Intelligence


NCBI usually participates in hackathons as direct organizers and planners. However, NCBI staff recently functioned as facilitators in two hackathons organized by outside groups: one at the Bio-IT World conference, and one at the Silicon Valley Artificial Intelligence (SVAI) incubator.

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