Literature DB >> 26946122

No Association between Variation in Longevity Candidate Genes and Aging-related Phenotypes in Oldest-old Danes.

Mette Soerensen1, Marianne Nygaard2, Birgit Debrabant3, Jonas Mengel-From4, Serena Dato5, Mikael Thinggaard6, Kaare Christensen7, Lene Christiansen8.   

Abstract

In this study we explored the association between aging-related phenotypes previously reported to predict survival in old age and variation in 77 genes from the DNA repair pathway, 32 genes from the growth hormone 1/ insulin-like growth factor 1/insulin (GH/IGF-1/INS) signalling pathway and 16 additional genes repeatedly considered as candidates for human longevity: APOE, APOA4, APOC3, ACE, CETP, HFE, IL6, IL6R, MTHFR, TGFB1, SIRTs 1, 3, 6; and HSPAs 1A, 1L, 14. Altogether, 1,049 single nucleotide polymorphisms (SNPs) were genotyped in 1,088 oldest-old (age 92-93 years) Danes and analysed with phenotype data on physical functioning (hand grip strength), cognitive functioning (mini mental state examination and a cognitive composite score), activity of daily living and self-rated health. Five SNPs showed association to one of the phenotypes; however, none of these SNPs were associated with a change in the relevant phenotype over time (7 years of follow-up) and none of the SNPs could be confirmed in a replication sample of 1,281 oldest-old Danes (age 94-100). Hence, our study does not support association between common variation in the investigated longevity candidate genes and aging-related phenotypes consistently shown to predict survival. It is possible that larger sample sizes are needed to robustly reveal associations with small effect sizes.
Copyright © 2016 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Association study; Human aging; Oldest-old; Single nucleotide polymorphisms

Mesh:

Year:  2016        PMID: 26946122      PMCID: PMC4841709          DOI: 10.1016/j.exger.2016.03.001

Source DB:  PubMed          Journal:  Exp Gerontol        ISSN: 0531-5565            Impact factor:   4.032


  33 in total

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Journal:  Exp Gerontol       Date:  2014-05-05       Impact factor: 4.032

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Authors:  Ana Pereira; Aldo M Costa; Mikel Izquierdo; António J Silva; Estela Bastos; Mário C Marques
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Journal:  Aging Cell       Date:  2014-12-02       Impact factor: 9.304

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