GWASdb v2: an update database for human genetic variants identified by genome-wide association studies
- PMID: 26615194
- PMCID: PMC4702921
- DOI: 10.1093/nar/gkv1317
GWASdb v2: an update database for human genetic variants identified by genome-wide association studies
Abstract
Genome-wide association studies (GWASs), now as a routine approach to study single-nucleotide polymorphism (SNP)-trait association, have uncovered over ten thousand significant trait/disease associated SNPs (TASs). Here, we updated GWASdb (GWASdb v2, http://jjwanglab.org/gwasdb) which provides comprehensive data curation and knowledge integration for GWAS TASs. These updates include: (i) Up to August 2015, we collected 2479 unique publications from PubMed and other resources; (ii) We further curated moderate SNP-trait associations (P-value < 1.0 × 10(-3)) from each original publication, and generated a total of 252,530 unique TASs in all GWASdb v2 collected studies; (iii) We manually mapped 1610 GWAS traits to 501 Human Phenotype Ontology (HPO) terms, 435 Disease Ontology (DO) terms and 228 Disease Ontology Lite (DOLite) terms. For each ontology term, we also predicted the putative causal genes; (iv) We curated the detailed sub-populations and related sample size for each study; (v) Importantly, we performed extensive function annotation for each TAS by incorporating gene-based information, ENCODE ChIP-seq assays, eQTL, population haplotype, functional prediction across multiple biological domains, evolutionary signals and disease-related annotation; (vi) Additionally, we compiled a SNP-drug response association dataset for 650 pharmacogenetic studies involving 257 drugs in this update; (vii) Last, we improved the user interface of website.
© The Author(s) 2015. Published by Oxford University Press on behalf of Nucleic Acids Research.
Figures
Similar articles
-
GWASdb: a database for human genetic variants identified by genome-wide association studies.Nucleic Acids Res. 2012 Jan;40(Database issue):D1047-54. doi: 10.1093/nar/gkr1182. Epub 2011 Dec 1. Nucleic Acids Res. 2012. PMID: 22139925 Free PMC article.
-
e-GRASP: an integrated evolutionary and GRASP resource for exploring disease associations.BMC Genomics. 2016 Oct 17;17(Suppl 9):770. doi: 10.1186/s12864-016-3088-1. BMC Genomics. 2016. PMID: 27766955 Free PMC article.
-
GWAS Atlas: a curated resource of genome-wide variant-trait associations in plants and animals.Nucleic Acids Res. 2020 Jan 8;48(D1):D927-D932. doi: 10.1093/nar/gkz828. Nucleic Acids Res. 2020. PMID: 31566222 Free PMC article.
-
CAUSALdb: a database for disease/trait causal variants identified using summary statistics of genome-wide association studies.Nucleic Acids Res. 2020 Jan 8;48(D1):D807-D816. doi: 10.1093/nar/gkz1026. Nucleic Acids Res. 2020. PMID: 31691819 Free PMC article.
-
SZDB: A Database for Schizophrenia Genetic Research.Schizophr Bull. 2017 Mar 1;43(2):459-471. doi: 10.1093/schbul/sbw102. Schizophr Bull. 2017. PMID: 27451428 Free PMC article.
Cited by
-
Detecting associated genes for complex traits shared across East Asian and European populations under the framework of composite null hypothesis testing.J Transl Med. 2022 Sep 23;20(1):424. doi: 10.1186/s12967-022-03637-8. J Transl Med. 2022. PMID: 36138484 Free PMC article.
-
Integrated Analysis of DNA Methylation and Biochemical/Metabolic Parameter During the Long-Term Isolation Environment.Front Physiol. 2019 Jul 24;10:917. doi: 10.3389/fphys.2019.00917. eCollection 2019. Front Physiol. 2019. PMID: 31402871 Free PMC article.
-
AGD: Aneurysm Gene Database.Database (Oxford). 2018 Jan 1;2018:bay100. doi: 10.1093/database/bay100. Database (Oxford). 2018. PMID: 30256987 Free PMC article.
-
The DisGeNET knowledge platform for disease genomics: 2019 update.Nucleic Acids Res. 2020 Jan 8;48(D1):D845-D855. doi: 10.1093/nar/gkz1021. Nucleic Acids Res. 2020. PMID: 31680165 Free PMC article.
-
Lacking mechanistic disease definitions and corresponding association data hamper progress in network medicine and beyond.Nat Commun. 2023 Mar 25;14(1):1662. doi: 10.1038/s41467-023-37349-4. Nat Commun. 2023. PMID: 36966134 Free PMC article.
References
-
- McCarthy M.I., Abecasis G.R., Cardon L.R., Goldstein D.B., Little J., Ioannidis J.P., Hirschhorn J.N. Genome-wide association studies for complex traits: consensus, uncertainty and challenges. Nat. Rev. Genet. 2008;9:356–369. - PubMed
Publication types
MeSH terms
LinkOut - more resources
Full Text Sources
Other Literature Sources