Literature DB >> 15610771

A genetic and genomic approach to identify longevity genes in mice.

Gerald de Haan1, Robert W Williams.   

Abstract

Natural variation in rate of aging or longevity in mice and humans shows a very complex inheritance pattern. Few targeted genetic screens have identified longevity genes in mammals, partly as a result from the fact that the genetics of longevity can only be studied reliably in cohorts of mice. In this paper we propose that a combined genetic and genomic analysis of large families of fully genotyped recombinant inbred mice may provide a crucial tool to the aging research community. As a proof of principle we describe preliminary studies in which variation in gene expression patterns in hematopoietic stem cells and brain were genetically linked to longevity.

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Year:  2005        PMID: 15610771     DOI: 10.1016/j.mad.2004.09.012

Source DB:  PubMed          Journal:  Mech Ageing Dev        ISSN: 0047-6374            Impact factor:   5.432


  5 in total

1.  Phenotype screening for genetically determined age-onset disorders and increased longevity in ENU-mutagenized mice.

Authors:  Dabney K Johnson; Eugene M Rinchik; Naima Moustaid-Moussa; Darla R Miller; Robert W Williams; Edward J Michaud; Monica M Jablonski; Andrea Elberger; Kristen Hamre; Richard Smeyne; Elissa Chesler; Daniel Goldowitz
Journal:  Age (Dordr)       Date:  2005-05-02

2.  Fat maintenance is a predictor of the murine lifespan response to dietary restriction.

Authors:  Chen-Yu Liao; Brad A Rikke; Thomas E Johnson; Jonathan A L Gelfond; Vivian Diaz; James F Nelson
Journal:  Aging Cell       Date:  2011-04-25       Impact factor: 9.304

3.  Using hippocampal microRNA expression differences between mouse inbred strains to characterise miRNA function.

Authors:  Michael J Parsons; Christina H Grimm; Jose L Paya-Cano; Karen Sugden; Wilfried Nietfeld; Hans Lehrach; Leonard C Schalkwyk
Journal:  Mamm Genome       Date:  2008-07-02       Impact factor: 2.957

4.  SYSGENET: a meeting report from a new European network for systems genetics.

Authors:  Klaus Schughart
Journal:  Mamm Genome       Date:  2010-07-11       Impact factor: 2.957

5.  Genetic loci and metabolic states associated with murine epigenetic aging.

Authors:  Khyobeni Mozhui; Ake T Lu; Caesar Z Li; Amin Haghani; Jose Vladimir Sandoval-Sierra; Yibo Wu; Robert W Williams; Steve Horvath
Journal:  Elife       Date:  2022-04-07       Impact factor: 8.713

  5 in total

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