# Mouse Genetics

> **NIH NIH P01** · UNIV OF MASSACHUSETTS MED SCH WORCESTER · 2021 · $342,932

## Abstract

Core A: Mouse Genetics.
Abstract:
Understanding the mechanisms through which host genetic variation impacts Mycobacterium tuberculosis
(Mtb) susceptibility and disease pathologies requires optimized and flexible model systems through which
genetic variants affecting Mtb can be identified, characterized and manipulated across a range of genetic
backgrounds. We propose usage of the highly diverse Collaborative Cross mouse panel to identify naturally
occurring genetic polymorphisms driving variation in Mtb disease outcomes, and then investigate the
mechanisms of these variants across a range of genetic backgrounds. We will assist the projects by analyzing
genetic association studies to identify genetic variants driving differences between mouse lines, creating
mouse crosses with which to assess how variation in gene transcription affects downstream Mtb disease
outcomes, and also generate mutant mouse lines whereby putative genetic variants are swapped between
mouse lines to assess their disease impact. We will provide the human genetics core with sets of genes
containing variants affecting Mtb disease in mice for testing in human cohorts. This provides a direct tie from
experimental data to clinical relevance. Lastly we will be responsible for curation, archiving and dissemination
of the data generated throughout this program to publically available repositories.

## Key facts

- **NIH application ID:** 10219085
- **Project number:** 5P01AI132130-05
- **Recipient organization:** UNIV OF MASSACHUSETTS MED SCH WORCESTER
- **Principal Investigator:** Fernando Pardo-Manuel de Villena
- **Activity code:** P01 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2021
- **Award amount:** $342,932
- **Award type:** 5
- **Project period:** 2017-08-05 → 2023-07-31

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/10219085

## Citation

> US National Institutes of Health, RePORTER application 10219085, Mouse Genetics (5P01AI132130-05). Retrieved via AI Analytics 2026-05-21 from https://api.ai-analytics.org/grant/nih/10219085. Licensed CC0.

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