Enabling Genomic-Phenomic Association Discovery without Sacrificing Anonymity

PLoS ONE

Volumn 8, Issue 2, 2013, Pages

  Heatherly, Raymond D ^a   Loukides, Grigorios ^b   Denny, Joshua C ^a   Haines, Jonathan L ^a   Roden, Dan M ^c   Malin, Bradley A ^c  

^a VANDERBILT UNIVERSITY MEDICAL CENTER   (United States)

^b CARDIFF UNIVERSITY   (United Kingdom)

^c VANDERBILT UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ARTICLE; CONTROLLED STUDY; ELECTRONIC MEDICAL RECORD; GENETIC ASSOCIATION; GENETIC PRIVACY; GENOTYPE PHENOTYPE CORRELATION; HUMAN; ICD-9; INFORMATION DISSEMINATION; MEDICAL INFORMATION; PATIENT IDENTIFICATION; PHENOTYPIC VARIATION; POPULATION SIZE; REFERENCE DATABASE; SINGLE NUCLEOTIDE POLYMORPHISM; ALGORITHM; FACTUAL DATABASE; GENOMICS; HUMAN GENOME; PROCEDURES; STANDARDS;

ALGORITHMS; DATABASES, FACTUAL; GENETIC ASSOCIATION STUDIES; GENETIC PRIVACY; GENOME, HUMAN; GENOME-WIDE ASSOCIATION STUDY; GENOMICS; HUMANS; MEDICAL RECORDS SYSTEMS, COMPUTERIZED;

EID: 84873528324     PISSN: None     EISSN: 19326203     Source Type: Journal    
DOI: 10.1371/journal.pone.0053875     Document Type: Article

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