Genome-Wide Association Study

Using predictive specificity to determine when gene set analysis is biologically meaningful
Gene set analysis, which translates gene lists into enriched functions, is among the most common bioinformatic methods. Yet few would …
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Novel therapeutics for coronary artery disease from genome-wide association study data
BACKGROUND: Coronary artery disease (CAD), one of the leading causes of death globally, is influenced by both environmental and genetic …
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Candidate disease gene prediction using Gentrepid: application to a genome-wide association study on coronary artery disease
Current single-locus-based analyses and candidate disease gene prediction methodologies used in genome-wide association studies (GWAS) …
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Identification of novel therapeutics for complex diseases from genome-wide association data
BACKGROUND: Human genome sequencing has enabled the association of phenotypes with genetic loci, but our ability to effectively …
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Gentrepid V2.0: a web server for candidate disease gene prediction
BACKGROUND: Candidate disease gene prediction is a rapidly developing area of bioinformatics research with the potential to deliver …
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Analysis of genome-wide association study data using the protein knowledge base
BACKGROUND: Genome-wide association studies (GWAS) aim to identify causal variants and genes for complex disease by independently …
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Comparison of automated candidate gene prediction systems using genes implicated in type 2 diabetes by genome-wide association studies
BACKGROUND: Automated candidate gene prediction systems allow geneticists to hone in on disease genes more rapidly by identifying the …
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