Quantifying human genome parameters in aging

Healthy human longevity is a global goal of the world health system. Determining the causes and processes influencing human longevity is the primary fundamental goal facing the scientific community. Currently, the main efforts of the scientific community are aimed at identifying the qualitative char...

Full description

Saved in:
Bibliographic Details
Main Authors: V. P. Volobaev, S. S. Kunizheva, L. I. Uralsky, D. A. Kupriyanova, E. I. Rogaev
Format: Article
Language:English
Published: Siberian Branch of the Russian Academy of Sciences, Federal Research Center Institute of Cytology and Genetics, The Vavilov Society of Geneticists and Breeders 2023-09-01
Series:Вавиловский журнал генетики и селекции
Subjects:
Online Access:https://vavilov.elpub.ru/jour/article/view/3866
Tags: Add Tag
No Tags, Be the first to tag this record!
_version_ 1832574990126415872
author V. P. Volobaev
S. S. Kunizheva
L. I. Uralsky
D. A. Kupriyanova
E. I. Rogaev
author_facet V. P. Volobaev
S. S. Kunizheva
L. I. Uralsky
D. A. Kupriyanova
E. I. Rogaev
author_sort V. P. Volobaev
collection DOAJ
description Healthy human longevity is a global goal of the world health system. Determining the causes and processes influencing human longevity is the primary fundamental goal facing the scientific community. Currently, the main efforts of the scientific community are aimed at identifying the qualitative characteristics of the genome that determine the trait. At the same time, when evaluating qualitative characteristics, there are many challenges that make it difficult to establish associations. Quantitative traits are burdened with such problems to a lesser extent, but they are largely overlooked in current genomic studies of aging and longevity. Although there is a wide repertoire of quantitative trait analyses based on genomic data, most opportunities are ignored by authors, which, along with the inaccessibility of published data, leads to the loss of this important information. This review focuses on describing quantitative traits important for understanding aging and necessary for analysis in further genomic studies, and recommends the inclusion of the described traits in the analysis. The review considers the relationship between quantitative characteristics of the mitochondrial genome and aging, longevity, and age-related neurodegenerative diseases, such as the frequency of extensive mitochondrial DNA (mtDNA) deletions, mtDNA half-life, the frequency of A>G replacements in the mtDNA heavy chain, the number of mtDNA copies; special attention is paid to the mtDNA methylation sign. A separate section of this review is devoted to the correlation of telomere length parameters with age, as well as the association of telomere length with the amount of mitochondrial DNA. In addition, we consider such a quantitative feature as the rate of accumulation of somatic mutations with aging in relation to the lifespan of living organisms. In general, it may be noted that there are quite serious reasons to suppose that various quantitative characteristics of the genome may be directly or indirectly associated with certain aspects of aging and longevity. At the same time, the available data are clearly insufficient for definitive conclusions and the determination of causal relationships.
format Article
id doaj-art-0a350da8c8374f9da79e7bbce218a3f6
institution Kabale University
issn 2500-3259
language English
publishDate 2023-09-01
publisher Siberian Branch of the Russian Academy of Sciences, Federal Research Center Institute of Cytology and Genetics, The Vavilov Society of Geneticists and Breeders
record_format Article
series Вавиловский журнал генетики и селекции
spelling doaj-art-0a350da8c8374f9da79e7bbce218a3f62025-02-01T09:58:12ZengSiberian Branch of the Russian Academy of Sciences, Federal Research Center Institute of Cytology and Genetics, The Vavilov Society of Geneticists and BreedersВавиловский журнал генетики и селекции2500-32592023-09-0127549550110.18699/VJGB-23-601379Quantifying human genome parameters in agingV. P. Volobaev0S. S. Kunizheva1L. I. Uralsky2D. A. Kupriyanova3E. I. Rogaev4Sirius University of Science and Technology, Scientific Center for Genetics and Life SciencesSirius University of Science and Technology, Scientific Center for Genetics and Life Sciences; Vavilov Institute of General Genetics, Russian Academy of Sciences, Department of Genomics and Human Genetics; Lomonosov Moscow State University, Center for Genetics and Genetic Technologies, Faculty of BiologySirius University of Science and Technology, Scientific Center for Genetics and Life Sciences; Vavilov Institute of General Genetics, Russian Academy of Sciences, Department of Genomics and Human GeneticsSirius University of Science and Technology, Scientific Center for Genetics and Life SciencesSirius University of Science and Technology, Scientific Center for Genetics and Life Sciences; Vavilov Institute of General Genetics, Russian Academy of Sciences, Department of Genomics and Human Genetics; Lomonosov Moscow State University, Center for Genetics and Genetic Technologies, Faculty of Biology; University of Massachusetts Chan Medical School, Department of PsychiatryHealthy human longevity is a global goal of the world health system. Determining the causes and processes influencing human longevity is the primary fundamental goal facing the scientific community. Currently, the main efforts of the scientific community are aimed at identifying the qualitative characteristics of the genome that determine the trait. At the same time, when evaluating qualitative characteristics, there are many challenges that make it difficult to establish associations. Quantitative traits are burdened with such problems to a lesser extent, but they are largely overlooked in current genomic studies of aging and longevity. Although there is a wide repertoire of quantitative trait analyses based on genomic data, most opportunities are ignored by authors, which, along with the inaccessibility of published data, leads to the loss of this important information. This review focuses on describing quantitative traits important for understanding aging and necessary for analysis in further genomic studies, and recommends the inclusion of the described traits in the analysis. The review considers the relationship between quantitative characteristics of the mitochondrial genome and aging, longevity, and age-related neurodegenerative diseases, such as the frequency of extensive mitochondrial DNA (mtDNA) deletions, mtDNA half-life, the frequency of A>G replacements in the mtDNA heavy chain, the number of mtDNA copies; special attention is paid to the mtDNA methylation sign. A separate section of this review is devoted to the correlation of telomere length parameters with age, as well as the association of telomere length with the amount of mitochondrial DNA. In addition, we consider such a quantitative feature as the rate of accumulation of somatic mutations with aging in relation to the lifespan of living organisms. In general, it may be noted that there are quite serious reasons to suppose that various quantitative characteristics of the genome may be directly or indirectly associated with certain aspects of aging and longevity. At the same time, the available data are clearly insufficient for definitive conclusions and the determination of causal relationships.https://vavilov.elpub.ru/jour/article/view/3866genome quantificationaginglongevityneurodegenerative disordersmtdnatelomere lengthsomatic mutations
spellingShingle V. P. Volobaev
S. S. Kunizheva
L. I. Uralsky
D. A. Kupriyanova
E. I. Rogaev
Quantifying human genome parameters in aging
Вавиловский журнал генетики и селекции
genome quantification
aging
longevity
neurodegenerative disorders
mtdna
telomere length
somatic mutations
title Quantifying human genome parameters in aging
title_full Quantifying human genome parameters in aging
title_fullStr Quantifying human genome parameters in aging
title_full_unstemmed Quantifying human genome parameters in aging
title_short Quantifying human genome parameters in aging
title_sort quantifying human genome parameters in aging
topic genome quantification
aging
longevity
neurodegenerative disorders
mtdna
telomere length
somatic mutations
url https://vavilov.elpub.ru/jour/article/view/3866
work_keys_str_mv AT vpvolobaev quantifyinghumangenomeparametersinaging
AT sskunizheva quantifyinghumangenomeparametersinaging
AT liuralsky quantifyinghumangenomeparametersinaging
AT dakupriyanova quantifyinghumangenomeparametersinaging
AT eirogaev quantifyinghumangenomeparametersinaging