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.

doi:10.1142/9789813207813_0049

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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. Pacific Symposium on Biocomputing - 1 Jan 2017

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

Abstract excerpt

A wide range of patient health data is recorded in Electronic Health Records (EHR). This data includes diagnosis, surgical procedures, clinical laboratory measurements, and medication information. Together this information reflects the patient's medical history. Many studies have efficiently used this data from the EHR to find associations that are clinically relevant, either by utilizing International...

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PMID: 27897004
DOI: 10.1142/9789813207813_0049

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