Abstract

Human lifespan variation is mainly determined by environmental factors, whereas the genetic contribution is 25–30% and expected to be polygenic. Two complementary fields go hand in hand in order to unravel the mechanisms of biological aging: genomic and biomarker research. Explorative and candidate gene studies of the human genome by genetic, transcriptomic, and epigenomic approaches have resulted in the identification of a limited number of interesting positive linkage regions, genes, and pathways that contribute to lifespan variation. The possibilities to further exploit these findings are rapidly increasing through the use of novel technologies, such as next-generation sequencing. Genomic research is progressively being integrated with biomarker studies on aging, including the application of (noninvasive) deep phenotyping and omics data – generated using novel technologies – in a wealth of studies in human populations. Hence, these studies may assist in obtaining a more holistic perspective on the role of the genome in aging and lifespan regulation.

Highlights

  • Human life expectancy has increased remarkably over the last two centuries worldwide [1], it is still highly variable between countries [2]

  • To determine which age-related phenotypes associate with human familial longevity, the offspring of long-lived individuals, which are predisposed to longevity, can be compared to geographically- and age-matched population controls

  • Examples of family-based longevity studies are the Ashkenazi Jews cohort [71], GEnetics of Healthy Ageing (GEHA) study [94], Long Life Family Study (LLFS) [7], and Leiden Longevity Study (LLS) [15]

Read more

Summary

Introduction

Human life expectancy has increased remarkably over the last two centuries worldwide [1], it is still highly variable between countries [2]. Age is the main risk factor for the majority of common diseases contributing to disability, reaching an old age does not necessarily result in a higher degree of age-related disability This is illustrated by the presence of long-lived individuals from families expressing exceptional longevity that may reach high ages without major disabilities [4, 5]. Their offspring – considered ‘‘decelerated’’ or ‘‘healthy agers’’ – have a lower prevalence of age-related diseases, such as cancer, cardiovascular disease, hypertension, and type 2 diabetes [6,7,8,9], compared to similaraged controls. Biomarker research is just as relevant for genomic studies of human aging as the analysis of the genome itself

Study designs
Prospective studies
Genomic research
Explorative studies identify transcriptomic profiles marking longevity
Epigenomic studies are at hand
Phenotypes that reflect biological aging
Clinical biomarkers for biological age hint at metabolic processes
Metabolic profiles seem promising predictive biomarkers
Effect on mortality
Effect on familial longevity
Findings
Integrating genomics and biomarker research
Full Text
Paper version not known

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.