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A Bayesian Method to Incorporate Hundreds of Functional Characteristics with Association Evidence to Improve Variant Prioritization

bioRxiv

Dec 4, 2013

Sarah A GaglianoJo Knight

Abstract

The increasing quantity and quality of functional genomic information motivate the assessment and integration of these data with association data, including data originating from genome-wide association studies (GWAS). We used previously described GWAS signals (“hits”) to train a regula...read more

Mentioned in this Paper

EAF2 gene
Evaluation
Logistic Models
Silo (Dataset)
Motivation
Psoriasis
Genome-Wide Association Study
Autoimmune Diseases
Genetic Studies
Autoimmune Reaction
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A Bayesian Method to Incorporate Hundreds of Functional Characteristics with Association Evidence to Improve Variant Prioritization

bioRxiv

Dec 4, 2013

Sarah A GaglianoJo Knight

PMID: 990000984

DOI: 10.1101/000984

Abstract

The increasing quantity and quality of functional genomic information motivate the assessment and integration of these data with association data, including data originating from genome-wide association studies (GWAS). We used previously described GWAS signals (“hits”) to train a regula...read more

Mentioned in this Paper

EAF2 gene
Evaluation
Logistic Models
Silo (Dataset)
Motivation
Psoriasis
Genome-Wide Association Study
Autoimmune Diseases
Genetic Studies
Autoimmune Reaction

Related Papers

Paper Details
References
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  • Citations
  • finger pointing at paper

    References currently unavailable

    We're still populating references for this paper, please check back later.
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