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.
MeSH terms
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Biological Specimen Banks / organization & administration*
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Diabetes Mellitus / drug therapy*
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Diabetes Mellitus / genetics*
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Electronic Health Records / organization & administration*
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Genetic Predisposition to Disease / genetics
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Humans
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Hypoglycemic Agents / therapeutic use
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Information Storage and Retrieval / methods
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Medical Record Linkage / methods
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Metformin / therapeutic use*
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Minnesota
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Pharmacogenetics / methods
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Pharmacogenetics / organization & administration*
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Treatment Outcome
Substances
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Hypoglycemic Agents
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Metformin