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2021
DOI: 10.1038/s42255-021-00449-w
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Gene-by-environment modulation of lifespan and weight gain in the murine BXD family

Abstract: Summary How lifespan and body weight vary as a function of diet and genetic differences is not well understood. Here we quantify the impact of differences in diet in a genetically diverse family of female mice, split into matched isogenic cohorts fed a low-fat chow (CD, n = 663) or a high-fat diet (HFD, n = 685). We further generate key metabolic data in a parallel cohort sacrificed at four time points. HFD feeding shortens lifespan by 12%— equivalent to… Show more

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Cited by 35 publications
(58 citation statements)
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References 94 publications
(104 reference statements)
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“…For the BXDs, life expectancy is highly dependent on the background genotype, and mean lifespan varies from under 16 months for strains such as BXD8 and BXD13, to over 28 months in strains such as BXD91 and BXD175. 19,22,24 While the EAA from the universal was inversely correlated with strain lifespan data, the predicted-maxLS had a direct correlation with observed strain maxLS. We note that the predicted-maxLS overestimated the strain max-LS by 0.7 to 3 years (median error of +1.6 years).…”
Section: Discussionmentioning
confidence: 91%
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“…For the BXDs, life expectancy is highly dependent on the background genotype, and mean lifespan varies from under 16 months for strains such as BXD8 and BXD13, to over 28 months in strains such as BXD91 and BXD175. 19,22,24 While the EAA from the universal was inversely correlated with strain lifespan data, the predicted-maxLS had a direct correlation with observed strain maxLS. We note that the predicted-maxLS overestimated the strain max-LS by 0.7 to 3 years (median error of +1.6 years).…”
Section: Discussionmentioning
confidence: 91%
“…276 cases with DNAm data also had fasted serum glucose and total cholesterol, 18,19 and we examined whether these metabolic traits are associated with three of the DNAm readouts: the univ.EAA, predicted-maxLS, and DNAm entropy. We applied linear regression with age, diet and final body weight as covariates, and this showed significant effects of cholesterol on predicted-maxLS (p = 0.002), and entropy (p = 9E-06) (Table S1).…”
Section: Association With Metabolic Traitsmentioning
confidence: 99%
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