Literature DB >> 3163317

Murine chromosomal regions correlated with longevity.

R Gelman1, A Watson, R Bronson, E Yunis.   

Abstract

In this longevity analysis of 360 BXD recombinant inbred female mice (20 different strains), 2 strains had very significantly shorter survival and 1 strain had very significantly longer survival than the other 17 strains; 4 other strains had less significant lengthening of survival compared to the other 13 strains in a proportional hazards model of survival. Mean survival on the shortest lived strain was 479 days; on the longest lived strain the mean survival was almost double (904 days). Ranges of survival within strain were very large (averaging 642 days), and strain accounted for only 29% of the variation in survival, showing that there are important environmental and/or special developmental effects on longevity even in this colony housed in a single room. Each strain had been typed for markers of 141 regions on 15 chromosomes; 101 of these markers had distinguishable distributions on the 20 strains. The two shortest lived strains had the same alleles for 63% of the markers. The single region most significantly correlated with survival (marked by P450, Coh, Xmmv-35 on chromosome 7) divided the mice into two groups with survival medians which differed by 153 days (755 days for mice with a B genotype; 602 days for mice with a D genotype). Evaluated individually, 44% of the genetic markers (including some markers on 11 of 15 chromosomes with any markers typed) were found to be significantly correlated with survival (P less than 0.05) although one would only expect 5% of the markers to be significant by chance. While studies of many markers should adjust for the multiple comparisons problem, one interpretation of these crude P values is that any experiment with only one of these "significant" markers typed would be likely to conclude that the marker was a significant predictor of survival. Two types of multiple regression models were used to examine the correlation with survival of groups of genes. When a proportional hazards model for survival was done in terms of genotype regions, a six genetic region model best correlated with survival: that marked by P450, Coh, Xmmv-35 on chromosome 7 (B allele lives longer), Ly-24 on chromosome 2 (B allele lives longer), beta 2M and H-3 on chromosome 2 (D allele lives longer) Lamb-2 on chromosome 1 (D allele lives longer), Ltw-4 on chromosome 1 (B allele lives longer), and the Igh area of chromosome 12 (Igh-Sa4, Igh-Sa2, Igh-Bgl, Igh-Nbp, Igh-Npid, Igh-Gte, Odc-8, and Ox-1; D allele lives longer).(ABSTRACT TRUNCATED AT 400 WORDS)

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Year:  1988        PMID: 3163317      PMCID: PMC1203324     

Source DB:  PubMed          Journal:  Genetics        ISSN: 0016-6731            Impact factor:   4.562


  29 in total

1.  Lifespan and incidence of cancer and other diseases in selected long-lived inbred mice and their F 1 hybrids.

Authors:  G S Smith; R L Walford; M R Mickey
Journal:  J Natl Cancer Inst       Date:  1973-05       Impact factor: 13.506

Review 2.  Genetic control of autoimmune disease and immune responsiveness and the relationship to aging.

Authors:  L J Greenberg; E J Yunis
Journal:  Birth Defects Orig Artic Ser       Date:  1978

3.  Immunopathology of aging.

Authors:  E J Yunis; L J Greenberg
Journal:  Hum Pathol       Date:  1974-03       Impact factor: 3.466

4.  Life span of specified-pathogen-free (MRC category 4) mice and rats.

Authors:  M F Festing; D K Blackmore
Journal:  Lab Anim       Date:  1971-10       Impact factor: 2.471

5.  Use of congenic mice to study the genetic basis of degenerative disease.

Authors:  D M Popp
Journal:  Birth Defects Orig Artic Ser       Date:  1978

6.  Influence of the main histocompatibility complex on ageing in mice.

Authors:  G S Smith; R L Walford
Journal:  Nature       Date:  1977 Dec 22-29       Impact factor: 49.962

7.  Longevity and gross pathology at death in 22 inbred mouse strains.

Authors:  J B Storer
Journal:  J Gerontol       Date:  1966-07

8.  Life-span and the inheritance of longevity of inbred mice.

Authors:  C L Goodrick
Journal:  J Gerontol       Date:  1975-05

9.  Ly-m11: the H-3 region of mouse chromosome 2 controls a new surface alloantigen.

Authors:  N Tada; S Kimura; A Hatzfeld; U Hämmerling
Journal:  Immunogenetics       Date:  1980       Impact factor: 2.846

10.  Genetics of the idotype of BALB/c myeloma S117: multiple chromosomal loci for Vh genes encoding specificity for group A streptococcal carbohydrate.

Authors:  C Berek; B A Taylor; K Eichmann
Journal:  J Exp Med       Date:  1976-11-02       Impact factor: 14.307

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  30 in total

1.  Traits that influence longevity in mice: a second look.

Authors:  K B Dear; M Salazar; A L Watson; R S Gelman; R Bronson; E J Yunis
Journal:  Genetics       Date:  1992-09       Impact factor: 4.562

Review 2.  Use of recombinant inbred strains to detect quantitative trait loci associated with behavior.

Authors:  R Plomin; G E McClearn; G Gora-Maslak; J M Neiderhiser
Journal:  Behav Genet       Date:  1991-03       Impact factor: 2.805

Review 3.  Use of recombinant inbred strains to identify quantitative trait loci in psychopharmacology.

Authors:  G Gora-Maslak; G E McClearn; J C Crabbe; T J Phillips; J K Belknap; R Plomin
Journal:  Psychopharmacology (Berl)       Date:  1991       Impact factor: 4.530

4.  Stem Cells in Aging: Influence of Ontogenic, Genetic and Environmental Factors.

Authors:  Edmond J Yunis; Joaquin Zúñiga; Prasad S Koka; Zaheed Husain; Viviana Romero; Joel N H Stern; Masha Fridkis-Hareli
Journal:  J Stem Cells       Date:  2006

5.  Multiple-trait quantitative trait loci analysis using a large mouse sibship.

Authors:  A U Jackson; A Fornés; A Galecki; R A Miller; D T Burke
Journal:  Genetics       Date:  1999-02       Impact factor: 4.562

6.  Magnetic Resonance Monitoring of Disease Progression in mdx Mice on Different Genetic Backgrounds.

Authors:  Ravneet Vohra; Abhinandan Batra; Sean C Forbes; Krista Vandenborne; Glenn A Walter
Journal:  Am J Pathol       Date:  2017-09       Impact factor: 4.307

Review 7.  The Convergence of Systems and Reductionist Approaches in Complex Trait Analysis.

Authors:  Evan G Williams; Johan Auwerx
Journal:  Cell       Date:  2015-07-02       Impact factor: 41.582

Review 8.  Quantitative trait loci (QTL) analyses and alcohol-related behaviors.

Authors:  R Plomin; G E McClearn
Journal:  Behav Genet       Date:  1993-03       Impact factor: 2.805

Review 9.  Use of recombinant inbred strains to map genes of aging.

Authors:  L K Dixon
Journal:  Genetica       Date:  1993       Impact factor: 1.082

10.  Comparative analysis of microarray data identifies common responses to caloric restriction among mouse tissues.

Authors:  William R Swindell
Journal:  Mech Ageing Dev       Date:  2007-11-21       Impact factor: 5.432

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