ArticleNucleic acids research2009
HGVbaseG2P: a central genetic association database.
Article in Nucleic acids research, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
37 citing papers in PubMed.
- MAGPEL: an autoMated pipeline for inferring vAriant-driven Gene PanEls from the full-length biomedical literature.Scientific reports · 2020Article
- eGARD: Extracting associations between genomic anomalies and drug responses from text.PloS one · 2017Article
- Observational
- Primary Immunodeficiencies and Inflammatory Disease: A Growing Genetic Intersection.Trends in immunology · 2016Review
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- Genetic polymorphisms of PCSK2 are associated with glucose homeostasis and progression to type 2 diabetes in a Chinese population.Scientific reports · 2015Article
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- Personal genomes, participatory genomics and the anonymity-privacy conundrum.Journal of genetics · 2014Article
- GWAS Central: a comprehensive resource for the comparison and interrogation of genome-wide association studies.European journal of human genetics : EJHG · 2014Article
- GRASP: analysis of genotype-phenotype results from 1390 genome-wide association studies and corresponding open access database.Bioinformatics (Oxford, England) · 2014Article
- LincSNP: a database of linking disease-associated SNPs to human large intergenic non-coding RNAs.BMC bioinformatics · 2014Article
- Article
- WormQTLHD--a web database for linking human disease to natural variation data in C. elegans.Nucleic acids research · 2014Article
- Hybrid curation of gene-mutation relations combining automated extraction and crowdsourcing.Database : the journal of biological databases and curation · 2014Article
- The ontology of genetic susceptibility factors (OGSF) and its application in modeling genetic susceptibility to vaccine adverse events.Journal of biomedical semantics · 2014Article
- Phenotypic overlap in the contribution of individual genes to CNV pathogenicity revealed by cross-species computational analysis of single-gene mutations in humans, mice and zebrafish.Disease models & mechanisms · 2013Article
- Single nucleotide polymorphisms in Mycobacterium tuberculosis and the need for a curated database.Tuberculosis (Edinburgh, Scotland) · 2013Review
- The 2013 Nucleic Acids Research Database Issue and the online molecular biology database collection.Nucleic acids research · 2013Article
- The GenoChip: a new tool for genetic anthropology.Genome biology and evolution · 2013Article
- Prediction of disease causing non-synonymous SNPs by the Artificial Neural Network Predictor NetDiseaseSNP.PloS one · 2013Article
Corrections and comments
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Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The Human Genome Variation database of Genotype to Phenotype information (HGVbaseG2P) is a new central database for summary-level findings produced by human genetic association studies, both large and small. Such a database is needed so that researchers have an easy way to access all the available association study data relevant to their genes, genome regions or diseases of interest. Such a depository will allow true positive signals to be more readily distinguished from false positives (type I error) that fail to consistently replicate. In this paper we describe how HGVbaseG2P has been constructed, and how its data are gathered and organized. We present a range of user-friendly but powerful website tools for searching, browsing and visualizing G2P study findings. HGVbaseG2P is available at http://www.hgvbaseg2p.org.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.