Selected Grantee Publications
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- Artificial Intelligence/Machine Learning
- Preservation
- 2025
Establishing the Hybrid Rat Diversity Program: A Resource for Dissecting Complex Traits
Dwinell et al., Mammalian Genome. 2025.
https://pubmed.ncbi.nlm.nih.gov/39907792
Rat models have been extensively used for studying human complex disease mechanisms, behavioral phenotypes, and environmental factors and for discovering and developing drugs. Systems genetics approaches have been used to study the effects of both genetic variation and environmental factors. This approach recognizes the complexity of common disorders and uses intermediate phenotypes to find relationships between genetic variation and clinical traits. This article describes the Hybrid Rat Diversity Program (HDRP) at the Medical College of Wisconsin, which involves 96 inbred rat strains and aims to provide a renewable and reusable resource in terms of the HRDP panel of inbred rat strains, the genomic data derived from the HRDP strains, and banked resources available for additional studies. Supported by ORIP (R24OD024617) and NHLBI.
Pre-Challenge Gut Microbial Signature Predicts RhCMV/SIV Vaccine Efficacy in Rhesus Macaques
Brochu et al., Microbiology Spectrum. 2025.
https://journals.asm.org/doi/10.1128/spectrum.01285-24
Rhesus cytomegalovirus–based simian immunodeficiency virus (RhCMV/SIV) vaccines provide protection against SIV challenge in approximately 60% of vaccinated rhesus macaques. This study assessed the role that gut microbiota play in SIV vaccine efficacy by analyzing the microbiomes of rhesus macaques before and after immunization using novel compositional data analysis techniques and machine-learning strategies. Researchers identified a gut microbial signature that predicted vaccine protection outcomes and correlated with early biomarker changes in the blood (i.e., host immune response to vaccination). This study indicates that the gut microbiome might play a role in vaccine-induced immunity. Supported by ORIP (P51OD011092).