dbNSFP Edit

Citations: 784

z-index: 98

Basic information
Short name dbNSFP
Full name database for nonsynonymous SNPs' functional predictions
Description dbNSFP a lightweight database of human nonsynonymous SNPs and their functional predictions.
URL http://sites.google.com/site/jpopgen/dbNSFP
Year founded 2011
Last update & version 2015-11-24 V3.1
Availability Free to all users
Contact information
University/Institution hosted University of Texas Health Science Center at Houston
Address Human Genetics Center, School of Public Health, The University of Texas Health Science Center at Houston, Houston, Texas 77030, USA.
City Houston
Province/State Texas
Country/Region United States
Contact name (PI/Team) Xiaoming Liu
Contact email (PI/Helpdesk) xiaoming.liu@uth.tmc.edu
Data information
Data object
Data type
Database category
Major organism
  • dbNSFP v3.0: A One-Stop Database of Functional Predictions and Annotations for Human Nonsynonymous and Splice-Site SNVs. [PMID: 26555599]
    Xiaoming Liu, Chunlei Wu, Chang Li, Eric Boerwinkle,

    The purpose of the dbNSFP is to provide a one-stop resource for functional predictions and annotations for human nonsynonymous single-nucleotide variants (nsSNVs) and splice-site variants (ssSNVs), and to facilitate the steps of filtering and prioritizing SNVs from a large list of SNVs discovered in an exome-sequencing study. A list of all potential nsSNVs and ssSNVs based on the human reference sequence were created and functional predictions and annotations were curated and compiled for each SNV. Here, we report a recent major update of the database to version 3.0. The SNV list has been rebuilt based on GENCODE 22 and currently the database includes 82,832,027 nsSNVs and ssSNVs. An attached database dbscSNV, which compiled all potential human SNVs within splicing consensus regions and their deleteriousness predictions, add another 15,030,459 potentially functional SNVs. Eleven prediction scores (MetaSVM, MetaLR, CADD, VEST3, PROVEAN, 4× fitCons, fathmm-MKL, and DANN) and allele frequencies from the UK10K cohorts and the Exome Aggregation Consortium (ExAC), among others, have been added. The original seven prediction scores in v2.0 (SIFT, 2× Polyphen2, LRT, MutationTaster, MutationAssessor, and FATHMM) as well as many SNV and gene functional annotations have been updated. dbNSFP v3.0 is freely available at http://sites.google.com/site/jpopgen/dbNSFP.

    Hum Mutat 2016:37(3)

    140 Citations (from Europe PMC, 2019-04-13)

  • dbNSFP v2.0: a database of human non-synonymous SNVs and their functional predictions and annotations. [PMID: 23843252]
    Xiaoming Liu, Xueqiu Jian, Eric Boerwinkle,

    dbNSFP is a database developed for functional prediction and annotation of all potential non-synonymous single-nucleotide variants (nsSNVs) in the human genome. This database significantly facilitates the process of querying predictions and annotations from different databases/web-servers for large amounts of nsSNVs discovered in exome-sequencing studies. Here we report a recent major update of the database to version 2.0. We have rebuilt the SNV collection based on GENCODE 9 and currently the database includes 87,347,043 nsSNVs and 2,270,742 essential splice site SNVs (an 18% increase compared to dbNSFP v1.0). For each nsSNV dbNSFP v2.0 has added two prediction scores (MutationAssessor and FATHMM) and two conservation scores (GERP++ and SiPhy). The original five prediction and conservation scores in v1.0 (SIFT, Polyphen2, LRT, MutationTaster and PhyloP) have been updated. Rich functional annotations for SNVs and genes have also been added into the new version, including allele frequencies observed in the 1000 Genomes Project phase 1 data and the NHLBI Exome Sequencing Project, various gene IDs from different databases, functional descriptions of genes, gene expression and gene interaction information, among others. dbNSFP v2.0 is freely available for download at http://sites.google.com/site/jpopgen/dbNSFP.

    Hum Mutat 2013:34(9)

    327 Citations (from Europe PMC, 2019-04-13)

  • dbNSFP: a lightweight database of human nonsynonymous SNPs and their functional predictions. [PMID: 21520341]
    Xiaoming Liu, Xueqiu Jian, Eric Boerwinkle

    With the advance of sequencing technologies, whole exome sequencing has increasingly been used to identify mutations that cause human diseases, especially rare Mendelian diseases. Among the analysis steps, functional prediction (of being deleterious) plays an important role in filtering or prioritizing nonsynonymous SNP (NS) for further analysis. Unfortunately, different prediction algorithms use different information and each has its own strength and weakness. It has been suggested that investigators should use predictions from multiple algorithms instead of relying on a single one. However, querying predictions from different databases/Web-servers for different algorithms is both tedious and time consuming, especially when dealing with a huge number of NSs identified by exome sequencing. To facilitate the process, we developed dbNSFP (database for nonsynonymous SNPs' functional predictions). It compiles prediction scores from four new and popular algorithms (SIFT, Polyphen2, LRT, and MutationTaster), along with a conservation score (PhyloP) and other related information, for every potential NS in the human genome (a total of 75,931,005). It is the first integrated database of functional predictions from multiple algorithms for the comprehensive collection of human NSs. dbNSFP is freely available for download at http://sites.google.com/site/jpopgen/dbNSFP. © 2011 Wiley-Liss, Inc.

    Hum Mutat 2011:32(8)

    317 Citations (from Europe PMC, 2019-04-13)


  • Ranking in all databases: No. 70
  • Ranking in category/categories:
    • Genotype phenotype and variation: No. 11
The box plots depict Z-index distribution for all databases in Database Commons and for specific database category/categories. The red line indicates log2(Z-index) of dbNSFP.

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Record metadata

  • Created on: 2015-06-30
    • ***imabatool@***u.edu.pk [2018-12-27]
    • ***ina@***c.cn [2018-06-08]
    • ***gpei17m@***c.cn [2018-01-28]
    • ***gj@***c.cn [2015-12-01]

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