A Bayesian method to incorporate hundreds of functional characteristics with association evidence to improve variant prioritization

PLoS ONE

Volumn 9, Issue 5, 2014, Pages

  Gagliano, Sarah A ^a,b   Barnes, Michael R ^c   Weale, Michael E ^d   Knight, Jo ^a,b,e  

^a CENTRE FOR ADDICTION AND MENTAL HEALTH   (Canada)

^b UNIVERSITY OF TORONTO   (Canada)

^c QUEEN MARY UNIVERSITY OF LONDON   (United Kingdom)

^d GUY S HOSPITAL   (United Kingdom)

^e UNIVERSITY OF TORONTO   (Canada)

Author keywords

[No Author keywords available]

Indexed keywords

ARTICLE; AUTOIMMUNE DISEASE; BAYES THEOREM; BRAIN CANCER; CARDIOVASCULAR DISEASE; CAUSAL ATTRIBUTION; CONTROLLED STUDY; DATA ANALYSIS; FUNCTIONAL GENOMICS; GENETIC ASSOCIATION; GENETIC DATABASE; GENETIC VARIABILITY; PATHOGENESIS; PHENOTYPIC VARIATION; PSORIASIS; QUANTITATIVE TRAIT LOCUS; SINGLE NUCLEOTIDE POLYMORPHISM; STATISTICAL MODEL; BIOLOGY; CLUSTER ANALYSIS; GENOMICS; HUMAN; PHENOTYPE; QUANTITATIVE TRAIT; RECEIVER OPERATING CHARACTERISTIC; REPRODUCIBILITY; THEORETICAL MODEL;

BAYES THEOREM; CLUSTER ANALYSIS; COMPUTATIONAL BIOLOGY; DATABASES, GENETIC; GENOME-WIDE ASSOCIATION STUDY; GENOMICS; HUMANS; MODELS, THEORETICAL; PHENOTYPE; POLYMORPHISM, SINGLE NUCLEOTIDE; QUANTITATIVE TRAIT, HERITABLE; REPRODUCIBILITY OF RESULTS; ROC CURVE;

EID: 84901353125     PISSN: None     EISSN: 19326203     Source Type: Journal    
DOI: 10.1371/journal.pone.0098122     Document Type: Article

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