# About ### One database, all variants Many variant databases have been built for humans, but none of them include all public human genomic variants. Pubvar is aiming to collect all public human genomic variants in a single database. Using Pubvar, you can obtain a complete list of variants located in a gene or in a specified region by a simple search. ### One webpage, all annotations In Pubvar, we extracted all the annotations and clinical knowledge of a variant from public databases and reorganized all these information in single webpage. Using Pubvar, you can get almost all the annotations and knowledge about a variant by a single search. Pubvar is free Pubvar is free for research use. If you want to use Pubvar in commercial activity, please contact us (firstname.lastname@example.org). ### Databases included The following databases have been integrated into Pubvar: #### [NCBI dbSNP](https://www.ncbi.nlm.nih.gov/projects/SNP/) (version 150) The Single Nucleotide Polymorphism database (dbSNP) is a public-domain archive for a broad collection of simple genetic polymorphisms. #### [1000 genomes](https://www.ncbi.nlm.nih.gov/variation/tools/1000genomes) (phase3) The 1000 Genomes Project ran between 2008 and 2015, creating the largest public catalogue of human variation and genotype data. The final data set contains data for 2,504 individuals from 26 populations. #### [ExAC](http://exac.broadinstitute.org/) (r0.3.1) The Exome Aggregation Consortium (ExAC) is a coalition of investigators seeking to aggregate and harmonize exome sequencing data from a wide variety of large-scale sequencing projects, and to make summary data available for the wider scientific community. The data set provided on ExAC spans 60,706 unrelated individuals sequenced as part of various disease-specific and population genetic studies. #### [gnomAD](http://gnomad.broadinstitute.org/) (r2.0.1) The Genome Aggregation Database (gnomAD) is a resource developed by an international coalition of investigators, with the goal of aggregating and harmonizing both exome and genome sequencing data from a wide variety of large-scale sequencing projects, and making summary data available for the wider scientific community. The data set provided on this website spans 123,136 exome sequences and 15,496 whole-genome sequences from unrelated individuals sequenced as part of various disease-specific and population genetic studies. #### [HRC](http://www.haplotype-reference-consortium.org/) (r1) The Haplotype Reference Consortium (HRC) will create a large reference panel of human haplotypes by combining together sequencing data from multiple cohorts. The first release consists of 64,976 haplotypes at 39,235,157 SNPs, all with an estimated minor allele count of >= 5. #### [HapMap](https://www.ncbi.nlm.nih.gov/variation/news/NCBI_retiring_HapMap) (phase III) The International HapMap Project was an organization that aimed to develop a haplotype map (HapMap) of the human genome, to describe the common patterns of human genetic variation. HapMap is used to find genetic variants affecting health, disease and responses to drugs and environmental factors. The information produced by the project is made freely available for research. The HapMap 3 sample collection comprises 1,301 samples from 11 populations. #### [CONVERGE](http://www.well.ox.ac.uk/converge) CONVERGE is a study on the genetics of major depression in a population of women in China. The genomes of 12,000 women were sequenced in this project. #### [NCBI ClinVar](https://www.ncbi.nlm.nih.gov/clinvar/) (2017-12-04) ClinVar is a freely accessible, public archive of reports of the relationships among human variations and phenotypes, with supporting evidence. #### [dbNSFP](https://sites.google.com/site/jpopgen/dbNSFP) (2.9.2) dbNSFP is a database developed for functional prediction and annotation of all potential non-synonymous single-nucleotide variants (nsSNVs) in the human genome. #### [InterVar](http://wintervar.wglab.org) (1.0.8) InterVar is a bioinformatics software tool for clinical interpretation of genetic variants by the ACMG/AMP 2015 guideline.