GRASP v2.0: an update on the Genome-Wide Repository of Associations between SNPs and phenotypes.
paper
Cited
Public
Unavailable
- Authors
- Eicher, John D; Landowski, Christa; Stackhouse, Brian; Sloan, Arielle; Chen, Wenjie; Jensen, Nicole; Lien, Ju-Ping; Leslie, Richard; Johnson, Andrew D
- Year
- 2015
- Journal
- Nucleic acids research
- PMID
- 25428361
- DOI
- 10.1093/nar/gku1202
- PMCID
- PMC4383982
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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| Title | Authors | Journal | Year | Link |
|---|---|---|---|---|
| RMVar 2.0: an updated database of functional variants in RNA modifications. | Huang Y et al. | — | 2025 | → |
| sc2GWAS: a comprehensive platform linking single cell and GWAS traits of human. | Yin M et al. | — | 2025 | → |
| Stratifying variant deleteriousness and trait-modulating effect under human recent adaptation using the FIND model. | Fan X et al. | — | 2025 | → |
| Systematic druggable genome-wide Mendelian randomization identifies therapeutic targets for calcium pyrophosphate deposition disease. | Zhang RP et al. | — | 2025 | → |
| Mendelian randomization analysis of the brain, cerebrospinal fluid, and plasma proteome identifies potential drug targets for attention deficit hyperactivity disorder. | Zhang C et al. | — | 2024 | → |
| MethMarkerDB: a comprehensive cancer DNA methylation biomarker database. | Zhu Z et al. | — | 2024 | → |
| VCAT: an integrated variant function annotation tools. | Huang B et al. | — | 2024 | → |
| Brain Catalog: a comprehensive resource for the genetic landscape of brain-related traits. | Pan S et al. | — | 2023 | → |
| ChromLoops: a comprehensive database for specific protein-mediated chromatin loops in diverse organisms. | Zhou Q et al. | — | 2023 | → |
| DisVar: an R library for identifying variants associated with diseases using large-scale personal genetic information. | Chanasongkhram K et al. | — | 2023 | → |
| Lipid Alteration Signature in the Blood Plasma of Individuals With Schizophrenia, Depression, and Bipolar Disorder. | Tkachev A et al. | — | 2023 | → |
| The Type 2 Diabetes Knowledge Portal: An open access genetic resource dedicated to type 2 diabetes and related traits. | Costanzo MC et al. | — | 2023 | → |
| Aggregative trans-eQTL analysis detects trait-specific target gene sets in whole blood. | Dutta D et al. | — | 2022 | → |
| An aging-related signature predicts favorable outcome and immunogenicity in lung adenocarcinoma. | Zhang W et al. | — | 2022 | → |
| A year of COVID-19 GWAS results from the GRASP portal reveals potential genetic risk factors. | Thibord F et al. | — | 2022 | → |
| Detecting associated genes for complex traits shared across East Asian and European populations under the framework of composite null hypothesis testing. | Qiao J et al. | — | 2022 | → |
| Evaluation of the genetic risk for COVID-19 outcomes in COPD and differences among worldwide populations. | Marçalo R et al. | — | 2022 | → |
| LncRNA functional annotation with improved false discovery rate achieved by disease associations. | Wang Y et al. | — | 2022 | → |
| TRmir: A Comprehensive Resource for Human Transcriptional Regulatory Information of MiRNAs. | Gao Y et al. | — | 2022 | → |
| webTWAS: a resource for disease candidate susceptibility genes identified by transcriptome-wide association study. | Cao C et al. | — | 2022 | → |
| Whole genome DNA and RNA sequencing of whole blood elucidates the genetic architecture of gene expression underlying a wide range of diseases. | Liu C et al. | — | 2022 | → |
| ATACdb: a comprehensive human chromatin accessibility database. | Wang F et al. | — | 2021 | → |
| A unified framework identifies new links between plasma lipids and diseases from electronic medical records across large-scale cohorts. | Veturi Y et al. | — | 2021 | → |
| Biomolecule and Bioentity Interaction Databases in Systems Biology: A Comprehensive Review. | Baltoumas FA et al. | — | 2021 | → |
| Exome-wide age-of-onset analysis reveals exonic variants in ERN1 and SPPL2C associated with Alzheimer's disease. | He L et al. | — | 2021 | → |
| Framingham Heart Study: JACC Focus Seminar, 1/8. | Andersson C et al. | — | 2021 | → |
| Genetic impacts on DNA methylation: research findings and future perspectives. | Villicaña S et al. | — | 2021 | → |
| Genetics and Epigenetics in Asthma. | Ntontsi P et al. | — | 2021 | → |
| In vivo identification and validation of novel potential predictors for human cardiovascular diseases. | Hammouda OT et al. | — | 2021 | → |
| LincSNP 3.0: an updated database for linking functional variants to human long non-coding RNAs, circular RNAs and their regulatory elements. | Gao Y et al. | — | 2021 | → |
| Multi-ethnic GWAS and meta-analysis of sleep quality identify MPP6 as a novel gene that functions in sleep center neurons. | Khoury S et al. | — | 2021 | → |
| RMVar: an updated database of functional variants involved in RNA modifications. | Luo X et al. | — | 2021 | → |
| RNA Biogenesis Instructs Functional Inter-Chromosomal Genome Architecture. | Bertero A | — | 2021 | → |
| TIGA: target illumination GWAS analytics. | Yang JJ et al. | — | 2021 | → |
| TRlnc: a comprehensive database for human transcriptional regulatory information of lncRNAs. | Li Y et al. | — | 2021 | → |
| VARAdb: a comprehensive variation annotation database for human. | Pan Q et al. | — | 2021 | → |
| CAUSALdb: a database for disease/trait causal variants identified using summary statistics of genome-wide association studies. | Wang J et al. | — | 2020 | → |
| Chromatin accessibility landscapes of skin cells in systemic sclerosis nominate dendritic cells in disease pathogenesis. | Liu Q et al. | — | 2020 | → |
| Genetic variants modulate gene expression statin response in human lymphoblastoid cell lines. | Theusch E et al. | — | 2020 | → |
| Identification of MicroRNA-Related Tumorigenesis Variants and Genes in the Cancer Genome Atlas (TCGA) Data. | Li C et al. | — | 2020 | → |
| <i>EGFR</i> Polymorphism and Survival of NSCLC Patients Treated with TKIs: A Systematic Review and Meta-Analysis. | Jurisic V et al. | — | 2020 | → |
| Minor C allele of the SNP rs7873784 associated with rheumatoid arthritis and type-2 diabetes mellitus binds PU.1 and enhances TLR4 expression. | Korneev KV et al. | — | 2020 | → |
| NCBP2 modulates neurodevelopmental defects of the 3q29 deletion in Drosophila and Xenopus laevis models. | Singh MD et al. | — | 2020 | → |
| Qtlizer: comprehensive QTL annotation of GWAS results. | Munz M et al. | — | 2020 | → |
| Similar burden of pathogenic coding variants in exceptionally long-lived individuals and individuals without exceptional longevity. | Gutman D et al. | — | 2020 | → |
| The support of genetic evidence for cardiovascular risk induced by antineoplastic drugs. | Cui H et al. | — | 2020 | → |
| A regulatory variant of CHRM3 is associated with cannabis-induced hallucinations in European Americans. | Cheng Z et al. | — | 2019 | → |
| Crebl2 regulates cell metabolism in muscle and liver cells. | Tiebe M et al. | — | 2019 | → |
| Disease classification: from phenotypic similarity to integrative genomics and beyond. | Dozmorov MG | — | 2019 | → |
| Exploring the selective vulnerability in Alzheimer disease using tissue specific variant analysis. | Akila Parvathy Dharshini S et al. | — | 2019 | → |
| Fine-mapping <i>cis</i>-regulatory variants in diverse human populations. | Tehranchi A et al. | — | 2019 | → |
| Genetic architecture of subcortical brain structures in 38,851 individuals. | Satizabal CL et al. | — | 2019 | → |
| Genetic factors contributing to autism spectrum disorder in Williams-Beuren syndrome. | Codina-Sola M et al. | — | 2019 | → |
| Genetic Insights Into Smooth Muscle Cell Contributions to Coronary Artery Disease. | Wong D et al. | — | 2019 | → |
| Genome-wide association meta-analysis of functional outcome after ischemic stroke. | Söderholm M et al. | — | 2019 | → |
| Identification of 12 novel loci that confer susceptibility to early-onset dyslipidemia. | Yamada Y et al. | — | 2019 | → |
| Meta-analysis of genome-wide association studies of aggressive and chronic periodontitis identifies two novel risk loci. | Munz M et al. | — | 2019 | → |
| SEdb: a comprehensive human super-enhancer database. | Jiang Y et al. | — | 2019 | → |
| TAGOOS: genome-wide supervised learning of non-coding loci associated to complex phenotypes. | González A et al. | — | 2019 | → |
| Challenges and opportunities in stroke genetics. | Malik R et al. | — | 2018 | → |
| CisPi: a transcriptomic score for disclosing cis-acting disease-associated lincRNAs. | Wang Z et al. | — | 2018 | → |
| Genetic variants associated with earlier age at menopause increase the risk of cardiovascular events in women. | Sarnowski C et al. | — | 2018 | → |
| Genome-wide association meta-analysis of coronary artery disease and periodontitis reveals a novel shared risk locus. | Munz M et al. | — | 2018 | → |
| Genome-wide association study in Japanese females identifies fifteen novel skin-related trait associations. | Endo C et al. | — | 2018 | → |
| Genome-wide meta-analysis identifies 3 novel loci associated with stroke. | Malik R et al. | — | 2018 | → |
| Human pain genetics database: a resource dedicated to human pain genetics research. | Meloto CB et al. | — | 2018 | → |
| Identification of 13 novel susceptibility loci for early-onset myocardial infarction, hypertension, or chronic kidney disease. | Yamada Y et al. | — | 2018 | → |
| Identification of 26 novel loci that confer susceptibility to early-onset coronary artery disease in a Japanese population. | Yamada Y et al. | — | 2018 | → |
| Japanese GWAS identifies variants for bust-size, dysmenorrhea, and menstrual fever that are eQTLs for relevant protein-coding or long non-coding RNAs. | Hirata T et al. | — | 2018 | → |
| Multiancestry genome-wide association study of 520,000 subjects identifies 32 loci associated with stroke and stroke subtypes. | Malik R et al. | — | 2018 | → |
| Multi-polygenic score approach to trait prediction. | Krapohl E et al. | — | 2018 | → |
| Novel anti-aging gene NM_026333 contributes to proton-induced aging via NCX1-pathway. | Osanai T et al. | — | 2018 | → |
| Organic cation transporter 1 (OCT1) modulates multiple cardiometabolic traits through effects on hepatic thiamine content. | Liang X et al. | — | 2018 | → |
| PheWAS and Beyond: The Landscape of Associations with Medical Diagnoses and Clinical Measures across 38,662 Individuals from Geisinger. | Verma A et al. | — | 2018 | → |
| Prioritization and functional assessment of noncoding variants associated with complex diseases. | Zhou L et al. | — | 2018 | → |
| Systematic detection of positive selection in the human-pathogen interactome and lasting effects on infectious disease susceptibility. | Corona E et al. | — | 2018 | → |
| The genetics of platelet count and volume in humans. | Eicher JD et al. | — | 2018 | → |
| Using regulatory genomics data to interpret the function of disease variants and prioritise genes from expression studies. | Ferrero E | — | 2018 | → |
| Adipose tissue DNA methylome changes in development of new-onset diabetes after kidney transplantation. | Baheti S et al. | — | 2017 | → |
| A genome-wide association study identifies nucleotide variants at SIGLEC5 and DEFA1A3 as risk loci for periodontitis. | Munz M et al. | — | 2017 | → |
| A genome-wide interactome of DNA-associated proteins in the human liver | Ramaker RC et al. | — | 2017 | — |
| Analysis of the common genetic component of large-vessel vasculitides through a meta-Immunochip strategy. | Carmona FD et al. | — | 2017 | → |
| Challenges and progress in interpretation of non-coding genetic variants associated with human disease. | Zhu Y et al. | — | 2017 | → |
| Discovery of susceptibility loci associated with tuberculosis in Han Chinese. | Qi H et al. | — | 2017 | → |
| Disease-Specific Integration of Omics Data to Guide Functional Validation of Genetic Associations. | Shumyatcher M et al. | — | 2017 | → |
| Dynamic Role of trans Regulation of Gene Expression in Relation to Complex Traits. | Yao C et al. | — | 2017 | → |
| Genetic-epigenetic interactions in cis: a major focus in the post-GWAS era. | Do C et al. | — | 2017 | → |
| Genome-wide association analyses for lung function and chronic obstructive pulmonary disease identify new loci and potential druggable targets. | Wain LV et al. | — | 2017 | → |
| Genome-Wide Association Study Reveals Four Loci for Lipid Ratios in the Korean Population and the Constitutional Subgroup. | Kim T et al. | — | 2017 | → |
| Genome-Wide Polygenic Scores Predict Reading Performance Throughout the School Years. | Selzam S et al. | — | 2017 | → |
| Identification of a functional genetic variant driving racially dimorphic platelet gene expression of the thrombin receptor regulator, PCTP. | Kong X et al. | — | 2017 | → |
| Identification of genetic variants affecting vitamin D receptor binding and associations with autoimmune disease. | Gallone G et al. | — | 2017 | → |
| Integrated genome-wide analysis of expression quantitative trait loci aids interpretation of genomic association studies. | Joehanes R et al. | — | 2017 | → |
| LincSNP 2.0: an updated database for linking disease-associated SNPs to human long non-coding RNAs and their TFBSs. | Ning S et al. | — | 2017 | → |
| Making progress toward understanding the genetic architecture of asthma in the most affected US ethnic group. | Himes BE et al. | — | 2017 | → |
| Meta-Analysis of Genome-Wide Association Studies for Abdominal Aortic Aneurysm Identifies Four New Disease-Specific Risk Loci. | Jones GT et al. | — | 2017 | → |
| Systematic Evaluation of Pleiotropy Identifies 6 Further Loci Associated With Coronary Artery Disease. | Webb TR et al. | — | 2017 | → |
| The single nucleotide variant rs12722489 determines differential estrogen receptor binding and enhancer properties of an IL2RA intronic region. | Afanasyeva MA et al. | — | 2017 | → |
| Using DIVAN to assess disease/trait-associated single nucleotide variants in genome-wide scale. | Chen L et al. | — | 2017 | → |
| Using omics approaches to understand pulmonary diseases. | Kan M et al. | — | 2017 | → |
| Associations Between Common and Rare Exonic Genetic Variants and Serum Levels of 20 Cardiovascular-Related Proteins: The Tromsø Study. | Solomon T et al. | — | 2016 | → |
| A thrifty variant in CREBRF strongly influences body mass index in Samoans. | Minster RL et al. | — | 2016 | → |
| dbDSM: a manually curated database for deleterious synonymous mutations. | Wen P et al. | — | 2016 | → |
| DIVAN: accurate identification of non-coding disease-specific risk variants using multi-omics profiles. | Chen L et al. | — | 2016 | → |
| e-GRASP: an integrated evolutionary and GRASP resource for exploring disease associations. | Karim S et al. | — | 2016 | → |
| EPS: an empirical Bayes approach to integrating pleiotropy and tissue-specific information for prioritizing risk genes. | Liu J et al. | — | 2016 | → |
| Genomic Characterization of Metformin Hepatic Response. | Luizon MR et al. | — | 2016 | → |
| GenoWAP: GWAS signal prioritization through integrated analysis of genomic functional annotation. | Lu Q et al. | — | 2016 | → |
| GWASdb v2: an update database for human genetic variants identified by genome-wide association studies. | Li MJ et al. | — | 2016 | → |
| HaploReg v4: systematic mining of putative causal variants, cell types, regulators and target genes for human complex traits and disease. | Ward LD et al. | — | 2016 | → |
| Integration of genome-wide association and extant brain expression QTL identifies candidate genes influencing prepulse inhibition in inbred F1 mice. | Sittig LJ et al. | — | 2016 | → |
| Local Joint Testing Improves Power and Identifies Hidden Heritability in Association Studies. | Brown BC et al. | — | 2016 | → |
| Network-Based Identification and Prioritization of Key Regulators of Coronary Artery Disease Loci. | Zhao Y et al. | — | 2016 | → |
| ORegAnno 3.0: a community-driven resource for curated regulatory annotation. | Lesurf R et al. | — | 2016 | → |
| Phenome-Wide Association Study to Explore Relationships between Immune System Related Genetic Loci and Complex Traits and Diseases. | Verma A et al. | — | 2016 | → |
| SEPARATING THE CAUSES AND CONSEQUENCES IN DISEASE TRANSCRIPTOME. | Li YF et al. | — | 2016 | → |
| Implications of pleiotropy: challenges and opportunities for mining Big Data in biomedicine. | Yang C et al. | — | 2015 | → |
| Large-scale genomic analyses link reproductive aging to hypothalamic signaling, breast cancer susceptibility and BRCA1-mediated DNA repair. | Day FR et al. | — | 2015 | → |
| Prediction of Causal Candidate Genes in Coronary Artery Disease Loci. | Brænne I et al. | — | 2015 | → |
| The transcriptional landscape of age in human peripheral blood. | Peters MJ et al. | — | 2015 | → |
| Synthesis of 53 tissue and cell line expression QTL datasets reveals master eQTLs. | Zhang X et al. | — | 2014 | → |