Download Prioritizing GWA data File

Prioritizing GWA data
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Four independent cohorts
Exploratory Stage
Validation Stage
How to prioritize?
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Genome-wide significance
Candidate SNPs from each cohort
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Map SNPs to candidate genes
Candidate SNP
Genes
SNP Region
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Contextual information
Known target genes
Literature, curation supported by text-mining
Matching expression data
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Correlating expression information
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Literature
information
No need to really on existing annotation
Still requires existing understanding of
gene function
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Cell biology assay
siRNA knockdown
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Re-ranking by
context
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Contextual information
Known networks: PPI, Coexpression, ..
Not specifically matched to GWAS
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Map candidates on interaction networks
Identify highly connected regions
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Identify subnetworks of interest
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Find additional targets
Guilt-by-association
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Ranking the final list
Ranked GWAS-based genes
Cellular assay hits
Literature curation
How to combine?
Core networks PPI/Expression
Guilt-by-association
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Ranking the final list
Ranked GWAS-based genes
Cellular assay hits
Literature curation
Empirically...
Core networks PPI/Expression
Guilt-by-association
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Bayesian approach
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