The Michigan Genomics Initiative (MGI) is a valuable resource available to all University of Michigan researchers, currently providing comprehensive genetic data for > 70K participants. These data can be connected to MiChart for retrospective genetic analyses without the need to enroll study participants, collect specimens, or genotype samples. 

One of the major use cases for MGI is pharmacogenomics (PGx) studies that investigate the genetic predictors of medication treatment outcomes. These studies typically require the translation of genetic data into functionally relevant haplotypes (also known as star alleles) and predicted activity phenotypes. To enhance the usefulness of MGI data for conducting PGx studies, MGI provides in-silico inferences for star alleles and activity phenotypes for 13 important pharmacogenes affecting drug response, including enzymes and transporters, using the state-of-the-art PyPGx software. The provided inferences enables researchers to conduct PGx studies in MGI, facilitating the understanding of genetic predictors of treatment related to efficacy or toxicity without the expertise necessary to translate genotype data or the need to perform laboratory work. 

Detailed information about the procedure and accuracy of inferences for specific pharmacogenes, star alleles, and activity phenotypes in the MGI cohort are available in our white paper. To access these pharmacogenetic data, please submit a “Custom Data Request” here. Users will receive each participant’s inferred star alleles and activity phenotype in an accessible, analysis-ready format. To learn more about this free PGx service, please contact phdatahelp@umich.edu.