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PhenoScanner: a database of human genotype-phenotype associations.

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TLDR
PhenoScanner is a curated database of publicly available results from large-scale genetic association studies that aims to facilitate ‘phenome scans’, the cross-referencing of genetic variants with many phenotypes, to help aid understanding of disease pathways and biology.
Abstract
This work was supported by the UK Medical Research Council [G66840, G0800270], Pfizer [G73632], British Heart Foundation [SP/09/002], UK National Institute for Health Research Cambridge Biomedical Research Centre, European Research Council [268834], and European Commission Framework Programme 7 [HEALTH-F2-2012-279233].

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The MR-Base platform supports systematic causal inference across the human phenome

TL;DR: MR-Base is a platform that integrates a curated database of complete GWAS results (no restrictions according to statistical significance) with an application programming interface, web app and R packages that automate 2SMR, and includes several sensitivity analyses for assessing the impact of horizontal pleiotropy and other violations of assumptions.
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Reading Mendelian randomisation studies: a guide, glossary, and checklist for clinicians

TL;DR: In this article, the authors provide explanations of the information typically reported in Mendelian randomisation studies that can be used to assess the plausibility of these assumptions and guidance on how to interpret findings from such studies in the context of other sources of evidence.
Journal ArticleDOI

The Allelic Landscape of Human Blood Cell Trait Variation and Links to Common Complex Disease

William J. Astle, +103 more
- 17 Nov 2016 - 
TL;DR: A genome-wide association analysis in the UK Biobank and INTERVAL studies is performed, providing evidence of shared genetic pathways linking blood cell indices with complex pathologies, including autoimmune diseases, schizophrenia, and coronary heart disease and evidence suggesting previously reported population associations betweenBlood cell indices and cardiovascular disease may be non-causal.
Journal ArticleDOI

MendelianRandomization: an R package for performing Mendelian randomization analyses using summarized data.

TL;DR: MendelianRandomization is a software package for the R open-source software environment that performs Mendelian randomization analyses using summarized data to implement the inverse-variance weighted, MR-Egger and weighted median methods for multiple genetic variants.
References
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Journal ArticleDOI

An integrated map of genetic variation from 1,092 human genomes

TL;DR: It is shown that evolutionary conservation and coding consequence are key determinants of the strength of purifying selection, that rare-variant load varies substantially across biological pathways, and that each individual contains hundreds of rare non-coding variants at conserved sites, such as motif-disrupting changes in transcription-factor-binding sites.
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dbSNP: the NCBI database of genetic variation

TL;DR: The dbSNP database is a general catalog of genome variation to address the large-scale sampling designs required by association studies, gene mapping and evolutionary biology, and is integrated with other sources of information at NCBI such as GenBank, PubMed, LocusLink and the Human Genome Project data.
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A second generation human haplotype map of over 3.1 million SNPs

Kelly A. Frazer, +237 more
- 18 Oct 2007 - 
TL;DR: The Phase II HapMap is described, which characterizes over 3.1 million human single nucleotide polymorphisms genotyped in 270 individuals from four geographically diverse populations and includes 25–35% of common SNP variation in the populations surveyed, and increased differentiation at non-synonymous, compared to synonymous, SNPs is demonstrated.
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The NHGRI GWAS Catalog, a curated resource of SNP-trait associations

TL;DR: A number of recent improvements to theNHGRI Catalog of Published Genome-Wide Association Studies are presented, including novel ways for users to interact with the Catalog and changes to the curation infrastructure.
Journal ArticleDOI

The NCBI dbGaP database of genotypes and phenotypes.

TL;DR: The dbGaP as discussed by the authors is a public repository for individual-level phenotype, exposure, genotype and sequence data and the associations between them, including documents, individual phenotypic variables, tables of trait data, sets of genotype data, computed phenotype-genotype associations, and groups of study subjects who have given similar consents for use of their data.
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