GRASP v2.0: an update on the Genome-Wide Repository of Associations between SNPs and phenotypes | Zendy

John D. Eicher | Zendy; Christa Landowski | Zendy; Brian Stackhouse | Zendy; Arielle Sloan | Zendy; Wenjie Chen | Zendy; Nicole Jensen | Zendy; Ju-Ping Lien | Zendy; Richard David Leslie | Zendy; Andrew D. Johnson | Zendy

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GRASP v2.0: an update on the Genome-Wide Repository of Associations between SNPs and phenotypes

Author(s) -

John D. Eicher,

Christa Landowski,

Brian Stackhouse,

Arielle Sloan,

Wenjie Chen,

Nicole Jensen,

Ju-Ping Lien,

Richard David Leslie,

Andrew D. Johnson

Publication year - 2014

Publication title -

nucleic acids research

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 9.008

H-Index - 537

eISSN - 1362-4954

pISSN - 0305-1048

DOI - 10.1093/nar/gku1202

Subject(s) - grasp , genome wide association study , single nucleotide polymorphism , snp , biology , expression quantitative trait loci , genetic association , computational biology , annotation , trait , computer science , bioinformatics , genetics , genotype , gene , programming language

Here, we present an update on the Genome-Wide Repository of Associations between SNPs and Phenotypes (GRASP) database version 2.0 (http://apps.nhlbi.nih.gov/Grasp/Overview.aspx). GRASP is a centralized repository of publically available genome-wide association study (GWAS) results. GRASP v2.0 contains ∼ 8.87 million SNP associations reported in 2082 studies, an increase of ∼ 2.59 million SNP associations (41.4% increase) and 693 studies (48.9% increase) from our previous version. Our goal in developing and maintaining GRASP is to provide a user-friendly means for diverse sets of researchers to query reported SNP associations (P ≤ 0.05) with human traits, including methylation and expression quantitative trait loci (QTL) studies. Therefore, in addition to making the full database available for download, we developed a user-friendly web interface that allows for direct querying of GRASP. We provide details on the use of this web interface and what information may be gleaned from using this interactive option. Additionally, we describe potential uses of GRASP and how the scientific community may benefit from the convenient availability of all SNP association results from GWAS (P ≤ 0.05). We plan to continue updating GRASP with newly published GWAS and increased annotation depth.

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