Literature DB >> 34297313

The Jackson Laboratory Nathan Shock Center: impact of genetic diversity on aging.

Ron Korstanje1, Luanne L Peters2, Laura L Robinson2, Stephen D Krasinski2, Gary A Churchill2.   

Abstract

Healthspan is a complex trait, influenced by many genes and environmental factors that accelerate or delay aging, reduce or increase disease risk, and extend or reduce lifespan. Thus, assessing the role of genetic variation in aging requires an experimental strategy capable of modeling the genetic and biological complexity of human populations. The goal of the The Jackson Laboratory Nathan Shock Center (JAX NSC) is to provide research resources and training for geroscience investigators that seek to understand the role of genetics and genetic diversity on the fundamental process of aging and diseases of human aging using the laboratory mouse as a model system. The JAX NSC has available novel, deeply characterized populations of aged mice, performs state-of-the-art phenotyping of age-relevant traits, provides systems genetics analysis of complex data sets, and provides all of these resources to the geroscience community. The aged animal resources, phenotyping capacity, and genetic expertise available through the JAX NSC benefit the geroscience community by fostering cutting-edge, novel lines of research that otherwise would not be possible. Over the past 15 years, the JAX NSC has transformed aging research across the geroscience community, providing aging mouse resources and tissues to researchers. All JAX NSC data and tools are publicly disseminated on the Mouse Phenome Database and the JAX NSC website, thus ensuring that the resources generated and expertise acquired through the Center are readily available to the aging research community. The JAX NSC will continue to enhance its ability to perform innovative research using a mammalian model to illuminate novel genotype-phenotype relationships and provide a rational basis for designing effective risk assessments and therapeutic interventions to boost longevity and disease-free healthspan.
© 2021. American Aging Association.

Entities:  

Keywords:  Complex trait; Diversity outbred mice; Genetic diversity; Healthspan; Lifespan

Mesh:

Year:  2021        PMID: 34297313      PMCID: PMC8599562          DOI: 10.1007/s11357-021-00421-2

Source DB:  PubMed          Journal:  Geroscience        ISSN: 2509-2723            Impact factor:   7.713


  26 in total

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Journal:  J Gerontol A Biol Sci Med Sci       Date:  2010-03-18       Impact factor: 6.053

2.  Aging Research Using Mouse Models.

Authors:  Cheryl L Ackert-Bicknell; Laura C Anderson; Susan Sheehan; Warren G Hill; Bo Chang; Gary A Churchill; Elissa J Chesler; Ron Korstanje; Luanne L Peters
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3.  GWAS of longevity in CHARGE consortium confirms APOE and FOXO3 candidacy.

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Journal:  Curr Protoc Mouse Biol       Date:  2018-06

7.  The Diversity Outbred mouse population.

Authors:  Gary A Churchill; Daniel M Gatti; Steven C Munger; Karen L Svenson
Journal:  Mamm Genome       Date:  2012-08-15       Impact factor: 2.957

Review 8.  The search for longevity and healthy aging genes: insights from epidemiological studies and samples of long-lived individuals.

Authors:  Joanne M Murabito; Rong Yuan; Kathryn L Lunetta
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9.  Genomes of the Mouse Collaborative Cross.

Authors:  Anuj Srivastava; Andrew P Morgan; Maya L Najarian; Vishal Kumar Sarsani; J Sebastian Sigmon; John R Shorter; Anwica Kashfeen; Rachel C McMullan; Lucy H Williams; Paola Giusti-Rodríguez; Martin T Ferris; Patrick Sullivan; Pablo Hock; Darla R Miller; Timothy A Bell; Leonard McMillan; Gary A Churchill; Fernando Pardo-Manuel de Villena
Journal:  Genetics       Date:  2017-06       Impact factor: 4.562

10.  Genomics of 1 million parent lifespans implicates novel pathways and common diseases and distinguishes survival chances.

Authors:  Paul Rhj Timmers; Ninon Mounier; Kristi Lall; Krista Fischer; Zheng Ning; Xiao Feng; Andrew D Bretherick; David W Clark; Xia Shen; Tõnu Esko; Zoltán Kutalik; James F Wilson; Peter K Joshi
Journal:  Elife       Date:  2019-01-15       Impact factor: 8.140

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