Identifying genetic associations with variability in metabolic health and blood count laboratory values: Diving into the quantitative traits by leveraging longitudinal data from an EHR

Pacific Symposium on Biocomputing

Volumn 0, Issue 212679, 2017, Pages 533-544

  Verma, Shefali S ^a   Lucas, Anastasia M ^a   Lavage, Daniel R ^a   Leader, Joseph B ^a   Metpally, Raghu ^a   Krishnamurthy, Sarathbabu ^a   Dewey, Frederick ^b   Borecki, Ingrid ^b   Lopez, Alexander ^b   Overton, John ^b   Penn, John ^b   Reid, Jeffrey ^b   Pendergrass, Sarah A ^a   Breitwieser, Gerda ^a   Ritchie, Marylyn D ^a  

^a GEISINGER HEALTH SYSTEM   (United States)

^b AB)   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

BLOOD; CLINICAL LABORATORIES; CODES (SYMBOLS); DATA MINING; DISEASE CONTROL; GLUCOSE; METABOLISM; PLASMA DIAGNOSTICS; RESEARCH LABORATORIES;

ASPARTATE AMINOTRANSFERASE; CHRONIC KIDNEY DISEASE; CLINICAL MEASUREMENTS; COMPLETE BLOOD COUNTS; ELECTRONIC HEALTH RECORD; GENOME-WIDE ASSOCIATION STUDIES; INTERNATIONAL CLASSIFICATION OF DISEASE; LABORATORY MEASUREMENTS;

DIAGNOSIS;

ANALYSIS OF VARIANCE; BIOLOGY; BLOOD ANALYSIS; BLOOD CELL COUNT; ELECTRONIC HEALTH RECORD; GENE REGULATORY NETWORK; GENOME-WIDE ASSOCIATION STUDY; HUMAN; INTERNATIONAL CLASSIFICATION OF DISEASES; LONGITUDINAL STUDY; QUANTITATIVE TRAIT; SINGLE NUCLEOTIDE POLYMORPHISM; STATISTICS AND NUMERICAL DATA;

ANALYSIS OF VARIANCE; BLOOD CELL COUNT; BLOOD CHEMICAL ANALYSIS; COMPUTATIONAL BIOLOGY; ELECTRONIC HEALTH RECORDS; GENE REGULATORY NETWORKS; GENOME-WIDE ASSOCIATION STUDY; HUMANS; INTERNATIONAL CLASSIFICATION OF DISEASES; LONGITUDINAL STUDIES; POLYMORPHISM, SINGLE NUCLEOTIDE; QUANTITATIVE TRAIT, HERITABLE;

EID: 85015590075     PISSN: 23356928     EISSN: 23356936     Source Type: Journal    
DOI: 10.1142/9789813207813_0049     Document Type: Conference Paper

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