Ontology highlight
ABSTRACT:
SUBMITTER: Mosley JD
PROVIDER: S-EPMC6117367 | biostudies-literature | 2018 Aug
REPOSITORIES: biostudies-literature
Mosley Jonathan D JD Feng QiPing Q Wells Quinn S QS Van Driest Sara L SL Shaffer Christian M CM Edwards Todd L TL Bastarache Lisa L Wei Wei-Qi WQ Davis Lea K LK McCarty Catherine A CA Thompson Will W Chute Christopher G CG Jarvik Gail P GP Gordon Adam S AS Palmer Melody R MR Crosslin David R DR Larson Eric B EB Carrell David S DS Kullo Iftikhar J IJ Pacheco Jennifer A JA Peissig Peggy L PL Brilliant Murray H MH Linneman James G JG Namjou Bahram B Williams Marc S MS Ritchie Marylyn D MD Borthwick Kenneth M KM Verma Shefali S SS Karnes Jason H JH Weiss Scott T ST Wang Thomas J TJ Stein C Michael CM Denny Josh C JC Roden Dan M DM
Nature communications 20180830 1
Defining the full spectrum of human disease associated with a biomarker is necessary to advance the biomarker into clinical practice. We hypothesize that associating biomarker measurements with electronic health record (EHR) populations based on shared genetic architectures would establish the clinical epidemiology of the biomarker. We use Bayesian sparse linear mixed modeling to calculate SNP weightings for 53 biomarkers from the Atherosclerosis Risk in Communities study. We use the SNP weighti ...[more]