Literature DB >> 21612516

Association study on long-living individuals from Southern Italy identifies rs10491334 in the CAMKIV gene that regulates survival proteins.

Alberto Malovini1, Maddalena Illario, Guido Iaccarino, Francesco Villa, Anna Ferrario, Roberta Roncarati, Chiara Viviani Anselmi, Valeria Novelli, Ersilia Cipolletta, Eleonora Leggiero, Alessandro Orro, Maria Rosaria Rusciano, Luciano Milanesi, Angela Serena Maione, Gianluigi Condorelli, Riccardo Bellazzi, Annibale A Puca.   

Abstract

Long-living individuals (LLIs) are used to study exceptional longevity. A number of genetic variants have been found associated in LLIs to date, but further identification of variants would improve knowledge on the mechanisms regulating the rate of aging. Therefore, we performed a genome-wide association study on 410 LLIs and 553 young control individuals with a 317K single-nucleotide polymorphism (SNP) chip to identify novel traits associated with aging. Among the top (p < 1 × 10(-4)) SNPs initially identified, we found rs10491334 (CAMKIV) (odds ratio [OR] = 0.55; 95% confidence interval [CI] 0.42-0.73; p = 2.88 × 10(-5)), a variant previously reported associated with diastolic blood pressure, associated also in a replication set of 116 LLIs and 160 controls (OR = 0.54; 95% CI 0.32-0.90; p = 9 × 10(-3)). Furthermore, in vitro analysis established that calcium/calmodulin-dependent protein kinase IV (CAMKIV) activates the survival proteins AKT, SIRT1, and FOXO3A, and we found that homozygous carriers of rs10491334 have a significant reduction in CAMKIV expression. This, together with the observed reduction in minor-allele carriers among centenarians, points to a detrimental role for the SNP. In conclusion, prolongevity genes are activated by CAMKIV, the levels of which are influenced by rs10491334, a SNP associated with human longevity.

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Year:  2011        PMID: 21612516     DOI: 10.1089/rej.2010.1114

Source DB:  PubMed          Journal:  Rejuvenation Res        ISSN: 1549-1684            Impact factor:   4.663


  38 in total

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3.  Four Genome-Wide Association Studies Identify New Extreme Longevity Variants.

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4.  PopCluster: an algorithm to identify genetic variants with ethnicity-dependent effects.

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Review 5.  The epidemiology of longevity and exceptional survival.

Authors:  Anne B Newman; Joanne M Murabito
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7.  Lack of association between rs10491334 in the CAMK4 gene and longevity in a Chinese population.

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8.  Human longevity and common variations in the LMNA gene: a meta-analysis.

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9.  Effects of FOXO3 Polymorphisms on Survival to Extreme Longevity in Four Centenarian Studies.

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10.  Regulatory Variants Modulate Protein Kinase C α (PRKCA) Gene Expression in Human Heart.

Authors:  Liang Li; Lizhi Zhang; Philip F Binkley; Wolfgang Sadee; Danxin Wang
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