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.
Original language | English (US) |
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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 |
Publisher | IOS Press |
Pages | 914-918 |
Number of pages | 5 |
ISBN (Electronic) | 9781614995111 |
DOIs | |
State | Published - 2015 |
Event | 26th Medical Informatics in Europe Conference, MIE 2015 - Madrid, Spain Duration: May 27 2015 → May 29 2015 |
Publication series
Name | Studies in Health Technology and Informatics |
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Volume | 210 |
ISSN (Print) | 0926-9630 |
ISSN (Electronic) | 1879-8365 |
Other
Other | 26th Medical Informatics in Europe Conference, MIE 2015 |
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Country/Territory | Spain |
City | Madrid |
Period | 5/27/15 → 5/29/15 |
Bibliographical note
Publisher Copyright:© 2015 European Federation for Medical Informatics (EFMI).
Keywords
- Biobank
- Electronic Health Records
- Metformin
- Pharmacogenomics
- Type 2 Diabetes Mellitus