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.
|Original language||English (US)|
|Title of host publication||Digital Healthcare Empowering Europeans - Proceedings of MIE 2015|
|Editors||Ronald Cornet, Lacramioara Stoicu-Tivadar, Ronald Cornet, Carlos Luis Parra Calderon, Stig Kjaer Andersen, Alexander Horbst, Mira Hercigonja-Szekeres|
|Number of pages||5|
|State||Published - 2015|
|Event||26th Medical Informatics in Europe Conference, MIE 2015 - Madrid, Spain|
Duration: May 27 2015 → May 29 2015
|Name||Studies in Health Technology and Informatics|
|Other||26th Medical Informatics in Europe Conference, MIE 2015|
|Period||5/27/15 → 5/29/15|
Bibliographical notePublisher Copyright:
© 2015 European Federation for Medical Informatics (EFMI).
- Electronic Health Records
- Type 2 Diabetes Mellitus