ArticleNucleic acids research2012
DistiLD Database: diseases and traits in linkage disequilibrium blocks.
Article in Nucleic acids research, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.
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Who cites it
20 citing papers in PubMed.
- Single-nucleus multiregion transcriptomic analysis of brain vasculature in Alzheimer's disease.Nature neuroscience · 2023Article
- Processing genome-wide association studies within a repository of heterogeneous genomic datasets.BMC genomic data · 2023Article
- Interpretable deep learning translation of GWAS and multi-omics findings to identify pathobiology and drug repurposing in Alzheimer's disease.Cell reports · 2022Article
- The Polymorphic Nuclear Factor NFIB Regulates Hepatic CYP2D6 Expression and Influences Risperidone Metabolism in Psychiatric Patients.Clinical pharmacology and therapeutics · 2022Article
- Diseases 2.0: a weekly updated database of disease-gene associations from text mining and data integration.Database : the journal of biological databases and curation · 2022Article
- SMetABF: A rapid algorithm for Bayesian GWAS meta-analysis with a large number of studies included.PLoS computational biology · 2022Article
- An integrated brain-specific network identifies genes associated with neuropathologic and clinical traits of Alzheimer's disease.Briefings in bioinformatics · 2022Article
- TIGA: target illumination GWAS analytics.Bioinformatics (Oxford, England) · 2021Article
- LDtrait: An Online Tool for Identifying Published Phenotype Associations in Linkage Disequilibrium.Cancer research · 2020Article
- Weighted mining of massive collections of [Formula: see text]-values by convex optimization.Information and inference : a journal of the IMA · 2018Article
- Private rare deletions in SEC16A and MAMDC4 may represent novel pathogenic variants in familial axial spondyloarthritis.Annals of the rheumatic diseases · 2016Article
- Optimal multiple testing under a Gaussian prior on the effect sizes.Biometrika · 2015Article
- Genome-Wide Scan Informed by Age-Related Disease Identifies Loci for Exceptional Human Longevity.PLoS genetics · 2015Article
- Pervasive pleiotropy between psychiatric disorders and immune disorders revealed by integrative analysis of multiple GWAS.Human genetics · 2015Article
- GRASP: analysis of genotype-phenotype results from 1390 genome-wide association studies and corresponding open access database.Bioinformatics (Oxford, England) · 2014Article
- Integrated genomic and prospective clinical studies show the importance of modular pleiotropy for disease susceptibility, diagnosis and treatment.Genome medicine · 2014Article
- Candidate gene association studies: a comprehensive guide to useful in silico tools.BMC genetics · 2013Review
- Genome-wide analysis of LXRα activation reveals new transcriptional networks in human atherosclerotic foam cells.Nucleic acids research · 2013Article
- Article
- Semantically enabling a genome-wide association study database.Journal of biomedical semantics · 2012Article
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4 authors.
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Abstract
Genome-wide association studies (GWAS) have identified thousands of single nucleotide polymorphisms (SNPs) associated with the risk of hundreds of diseases. However, there is currently no database that enables non-specialists to answer the following simple questions: which SNPs associated with diseases are in linkage disequilibrium (LD) with a gene of interest? Which chromosomal regions have been associated with a given disease, and which are the potentially causal genes in each region? To answer these questions, we use data from the HapMap Project to partition each chromosome into so-called LD blocks, so that SNPs in LD with each other are preferentially in the same block, whereas SNPs not in LD are in different blocks. By projecting SNPs and genes onto LD blocks, the DistiLD database aims to increase usage of existing GWAS results by making it easy to query and visualize disease-associated SNPs and genes in their chromosomal context. The database is available at http://distild.jensenlab.org/.
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