Human genetic variation plays a significant role in regulating differences in longevity and changes in overall health and disease susceptibility with age. Understanding the links between genetic variation and the biology of aging promises to ultimately identify approaches to extend the human healthspan. However, healthspan is a complex trait, and determining the interacting polymorphic alleles and environmental factors that affect it is difficult. Meeting this challenge will require a systems approach to aging, utilizing an experimental organism that models the genetic and biological complexity of the human population. The Jackson Shock Center (JSC) proposes to use its expertise in mouse models and complex traits to build on successes of the previous funding period and to develop the unique resources necessary to enable the aging community to elucidate the genetic underpinnings of healthspan. Specifically, JSC will provide: ^) Aging Mice &Tissues through a central core of large crosses and reference populations, including the Collaborative Cross lines, which offer unprecedented genetic variation;2) Mouse populations genotyped and comprehensively characterized for physiological and behavioral traits relevant to aging and healthspan; 3) Novel Statistical Methods developed to enable researchers to identify correlations, narrow QTL, and to understand causal versus reactive relationships of aging related traits;and 4) Integrated Mouse and Human Aging Data assembled into an annotated genetic map of mouse and human aging loci to enable researchers to rapidly identify and validate genes implicated in human aging and to suggest translational interventions to extend healthspan. All JSC resources, methods, phenotypic and genetic data, and maps will be publically available through the Mouse Phenome Database (MPD), the JSC website, and a proposed web portal, which will integrate the resources and information of the Nathan Shock Centers (NSC). JSC will provide unprecedented, coordinated aging resources and a vibrant intellectual environment to support 29 faculty and more than 20 independent, grant-funded research projects aimed at unraveling genetic control of human aging at The Jackson Laboratory (JAX). These resources will be broadly disseminated to support more than 20 existing collaborations as well as numerous external aging investigators, greatly expanding JSC's role as a center for national aging research. In the long term, JSC will continue to focus JAX expertise in genomics and biology on aging, leading to enhanced resources forth research community and a better understanding of the molecular mechanisms of lifespan and healthspan.
Human aging is influenced by genetic factors. Differences in longevity as well as changes in health and disease-risk with time are linked with variation in individuals'genetic codes. The Jackson Shock Center will develop resources to identify genetic differences and probe their role in controlling healthy aging. Resources will include: aged mouse models, mirroring human genetic variation;physiological and behavioral data for age-related traits;and methods to reveal genetic factors tied to human aging. Resources will be available to the scientific community, accelerating research to understand and ultimately prolong healthy human aging.
| Thompson, Michael J; Chwia?kowska, Karolina; Rubbi, Liudmilla et al. (2018) A multi-tissue full lifespan epigenetic clock for mice. Aging (Albany NY) 10:2832-2854 |
| Backer, Grant; Eddy, Sean; Sheehan, Susan M et al. (2018) FAR2 is associated with kidney disease in mice and humans. Physiol Genomics 50:543-552 |
| Sutphin, George L; Backer, Grant; Sheehan, Susan et al. (2017) Caenorhabditis elegans orthologs of human genes differentially expressed with age are enriched for determinants of longevity. Aging Cell 16:672-682 |
| Lee, Benjamin P; Buri?, Ivana; George-Pandeth, Anupriya et al. (2017) MicroRNAs miR-203-3p, miR-664-3p and miR-708-5p are associated with median strain lifespan in mice. Sci Rep 7:44620 |
| Sutphin, George L; Mahoney, J Matthew; Sheppard, Keith et al. (2016) WORMHOLE: Novel Least Diverged Ortholog Prediction through Machine Learning. PLoS Comput Biol 12:e1005182 |
| Korstanje, Ron; Deutsch, Konstantin; Bolanos-Palmieri, Patricia et al. (2016) Loss of Kynurenine 3-Mono-oxygenase Causes Proteinuria. J Am Soc Nephrol 27:3271-3277 |
| Bogue, Molly A; Peters, Luanne L; Paigen, Beverly et al. (2016) Accessing Data Resources in the Mouse Phenome Database for Genetic Analysis of Murine Life Span and Health Span. J Gerontol A Biol Sci Med Sci 71:170-7 |
| Didion, John P; Morgan, Andrew P; Yadgary, Liran et al. (2016) R2d2 Drives Selfish Sweeps in the House Mouse. Mol Biol Evol 33:1381-95 |
| Young, Kira; Borikar, Sneha; Bell, Rebecca et al. (2016) Progressive alterations in multipotent hematopoietic progenitors underlie lymphoid cell loss in aging. J Exp Med 213:2259-2267 |
| Schoenrock, Sarah Adams; Oreper, Daniel; Young, Nancy et al. (2016) Ovariectomy results in inbred strain-specific increases in anxiety-like behavior in mice. Physiol Behav 167:404-412 |
Showing the most recent 10 out of 48 publications
