Identification of genomic predictors of atrioventricular conduction: using electronic medical records as a tool for genome science.

ABSTRACT:

Background

Recent genome-wide association studies in which selected community populations are used have identified genomic signals in SCN10A influencing PR duration. The extent to which this can be demonstrated in cohorts derived from electronic medical records is unknown.

Methods and results

We performed a genome-wide association study on 2334 European American patients with normal ECGs without evidence of prior heart disease from the Vanderbilt DNA databank, BioVU, which accrues subjects from routine patient care. Subjects were identified by combinations of natural language processing, laboratory queries, and billing code queries of deidentified medical record data. Subjects were 58% female, of mean (± SD) age 54 ± 15 years, and had mean PR intervals of 158 ± 18 ms. Genoty

SUBMITTER: Denny JC 

PROVIDER: S-EPMC2991609 | biostudies-literature | 2010 Nov

REPOSITORIES: biostudies-literature