Using EHR-Linked Biobank Data to Study Metformin Pharmacogenomics. Conference Paper uri icon

Overview

abstract

  • Metformin is a commonly prescribed diabetes medication whose mechanism of action is poorly understood. In this study we utilized EHR-linked biobank data to elucidate the impact of genomic variation on glycemic response to metformin. Our study found significant gene- and SNP-level associations within the beta-2 subunit of the heterotrimeric adenosine monophosphate-activated protein kinase complex. Using EHR phenotypes where were able to add additional clarity to ongoing metformin pharmacogenomic dialogue.

publication date

  • January 1, 2015

Research

keywords

  • Biological Specimen Banks
  • Diabetes Mellitus
  • Electronic Health Records
  • Metformin
  • Pharmacogenetics

Identity

PubMed Central ID

  • PMC5051541

Scopus Document Identifier

  • 84937485223

PubMed ID

  • 25991289

Additional Document Info

volume

  • 210