Literature DB >> 28242236

Centenarians as extreme phenotypes: An ecological perspective to get insight into the relationship between the genetics of longevity and age-associated diseases.

Cristina Giuliani1, Chiara Pirazzini2, Massimo Delledonne3, Luciano Xumerle3, Patrick Descombes4, Julien Marquis4, Giacomo Mengozzi5, Daniela Monti6, Dina Bellizzi7, Giuseppe Passarino7, Donata Luiselli8, Claudio Franceschi2, Paolo Garagnani5.   

Abstract

In this review, we address the genetic continuum between aging and age-related diseases, with particular attention to the ecological perspective. We describe the connections between genes that promote longevity and genes associated with age-related diseases considering tradeoff mechanisms in which the same genetic variants could have different effects according to the tissue considered and could be involved in several biological pathways. Then we describe mechanisms of antagonistic pleiotropy, focusing on the complex interplay between genetic variants and environmental changes (internal or external). We sustain the use of centenarians as "super-controls" for the study of the major age-related diseases, starting from the concept that the maximization of the phenotypic differences in the considered cohort, achieved by selecting the most divergent phenotypes, could be useful for increasing the significant differences observed in the genetic association study. We describe the potential impact of the population genetic variability in the study of human longevity and the possible contribution of the past selective pressures in shaping the current genomic background of individuals. In conclusion, we illustrate recent findings emerged from whole-genome sequencing of long-lived individuals and future perspectives for interpreting the huge amount of genetic data that will be generated in the next future.
Copyright © 2017 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Age-related diseases; Extreme phenotypes; Gene–environment interactions; Longevity; Populations

Mesh:

Year:  2017        PMID: 28242236     DOI: 10.1016/j.mad.2017.02.007

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


  14 in total

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Review 3.  Schizophrenia Mortality: Barriers to Progress.

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Authors:  Francesco Ravaioli; Maria G Bacalini; Claudio Franceschi; Paolo Garagnani
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8.  Impact of demography and population dynamics on the genetic architecture of human longevity.

Authors:  Cristina Giuliani; Marco Sazzini; Chiara Pirazzini; Maria Giulia Bacalini; Elena Marasco; Guido Alberto Gnecchi Ruscone; Fang Fang; Stefania Sarno; Davide Gentilini; Anna Maria Di Blasio; Paolina Crocco; Giuseppe Passarino; Daniela Mari; Daniela Monti; Benedetta Nacmias; Sandro Sorbi; Carlo Salvarani; Mariagrazia Catanoso; Davide Pettener; Donata Luiselli; Svetlana Ukraintseva; Anatoliy Yashin; Claudio Franceschi; Paolo Garagnani
Journal:  Aging (Albany NY)       Date:  2018-08-08       Impact factor: 5.955

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Authors:  Katarzyna Czajkowska; Agnieszka Walewska; Takao Ishikawa; Katarzyna Szczepańska; Anna Ajduk
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10.  Circulating miR-19a-3p and miR-19b-3p characterize the human aging process and their isomiRs associate with healthy status at extreme ages.

Authors:  Cristina Morsiani; Lucia Terlecki-Zaniewicz; Susanna Skalicky; Maria Giulia Bacalini; Salvatore Collura; Maria Conte; Federica Sevini; Paolo Garagnani; Stefano Salvioli; Matthias Hackl; Johannes Grillari; Claudio Franceschi; Miriam Capri
Journal:  Aging Cell       Date:  2021-06-23       Impact factor: 9.304

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