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Genetics of Human Longevity Within an Eco-Evolutionary Nature-Nurture Framework
Cristina Giuliani1,2,3, Paolo Garagnani4,5, Claudio Franceschi6
1From the Department of Biological, Geological, and Environmental Sciences (BiGeA), Laboratory of Molecular Anthropology and Centre for Genome Biology (C.G.), University of Bologna, Italy.
Understanding human longevity requires exploring complex gene-environment interactions. Genetics of longevity is population-specific and influenced by age-related factors and diseases.
Area of Science:
- Biomedicine
- Genetics
- Gerontology
Background:
- Human longevity is a complex trait with poorly understood genetic underpinnings.
- Previous studies have yielded disappointing results due to the complexity of the longevity phenotype.
- Gene-environment interactions are crucial for reaching extreme human lifespan.
Purpose of the Study:
- To provide an integrated, ecological, and evolutionary perspective on the genetics of human longevity.
- To scrutinize literature, emphasizing often-neglected factors like sex, ancestry, and socioeconomic status.
- To discuss the strengths and limitations of genome-wide association study and whole-genome sequencing in longevity research.
Main Methods:
- Literature review and critical analysis of existing studies on human longevity.
- Focus on under-investigated factors influencing longevity, including social and environmental determinants.
- Discussion of genetic tools like genome-wide association study and whole-genome sequencing.
Main Results:
- Genetics of longevity is highly population-specific.
- Small-effect alleles, pleiotropy, and complex allele timing are significant.
- Genetic risk factors are age-specific and linked to age-related diseases, particularly cardiovascular diseases.
Conclusions:
- A comprehensive approach integrating nuclear, mitochondrial, and microbiome genetics is urgently needed.
- Understanding longevity requires considering gene-environment interactions within ecological and evolutionary frameworks.
- Future research should focus on population-specific genetics and the interplay with age-related diseases.
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