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Deciphering the genetic and epidemiological landscape of mitochondrial DNA abundance
Mitochondrial (MT) dysfunction is a hallmark of aging and has been associated with most aging-related diseases as well as immunological processes. However, little is known about aging, lifestyle and genetic factors influencing mitochondrial DNA (mtDNA) abundance. In this study, mtDNA abundance was e...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Berlin Heidelberg
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8099832/ https://www.ncbi.nlm.nih.gov/pubmed/33385171 http://dx.doi.org/10.1007/s00439-020-02249-w |
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author | Hägg, Sara Jylhävä, Juulia Wang, Yunzhang Czene, Kamila Grassmann, Felix |
author_facet | Hägg, Sara Jylhävä, Juulia Wang, Yunzhang Czene, Kamila Grassmann, Felix |
author_sort | Hägg, Sara |
collection | PubMed |
description | Mitochondrial (MT) dysfunction is a hallmark of aging and has been associated with most aging-related diseases as well as immunological processes. However, little is known about aging, lifestyle and genetic factors influencing mitochondrial DNA (mtDNA) abundance. In this study, mtDNA abundance was estimated from the weighted intensities of probes mapping to the MT genome in 295,150 participants from the UK Biobank. We found that the abundance of mtDNA was significantly elevated in women compared to men, was negatively correlated with advanced age, higher smoking exposure, greater body-mass index, higher frailty index as well as elevated red and white blood cell count and lower mortality. In addition, several biochemistry markers in blood-related to cholesterol metabolism, ion homeostasis and kidney function were found to be significantly associated with mtDNA abundance. By performing a genome-wide association study, we identified 50 independent regions genome-wide significantly associated with mtDNA abundance which harbour multiple genes involved in the immune system, cancer as well as mitochondrial function. Using mixed effects models, we estimated the SNP-heritability of mtDNA abundance to be around 8%. To investigate the consequence of altered mtDNA abundance, we performed a phenome-wide association study and found that mtDNA abundance is involved in risk for leukaemia, hematologic diseases as well as hypertension. Thus, estimating mtDNA abundance from genotyping arrays has the potential to provide novel insights into age- and disease-relevant processes, particularly those related to immunity and established mitochondrial functions. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s00439-020-02249-w. |
format | Online Article Text |
id | pubmed-8099832 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Springer Berlin Heidelberg |
record_format | MEDLINE/PubMed |
spelling | pubmed-80998322021-05-11 Deciphering the genetic and epidemiological landscape of mitochondrial DNA abundance Hägg, Sara Jylhävä, Juulia Wang, Yunzhang Czene, Kamila Grassmann, Felix Hum Genet Original Investigation Mitochondrial (MT) dysfunction is a hallmark of aging and has been associated with most aging-related diseases as well as immunological processes. However, little is known about aging, lifestyle and genetic factors influencing mitochondrial DNA (mtDNA) abundance. In this study, mtDNA abundance was estimated from the weighted intensities of probes mapping to the MT genome in 295,150 participants from the UK Biobank. We found that the abundance of mtDNA was significantly elevated in women compared to men, was negatively correlated with advanced age, higher smoking exposure, greater body-mass index, higher frailty index as well as elevated red and white blood cell count and lower mortality. In addition, several biochemistry markers in blood-related to cholesterol metabolism, ion homeostasis and kidney function were found to be significantly associated with mtDNA abundance. By performing a genome-wide association study, we identified 50 independent regions genome-wide significantly associated with mtDNA abundance which harbour multiple genes involved in the immune system, cancer as well as mitochondrial function. Using mixed effects models, we estimated the SNP-heritability of mtDNA abundance to be around 8%. To investigate the consequence of altered mtDNA abundance, we performed a phenome-wide association study and found that mtDNA abundance is involved in risk for leukaemia, hematologic diseases as well as hypertension. Thus, estimating mtDNA abundance from genotyping arrays has the potential to provide novel insights into age- and disease-relevant processes, particularly those related to immunity and established mitochondrial functions. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s00439-020-02249-w. Springer Berlin Heidelberg 2020-12-31 2021 /pmc/articles/PMC8099832/ /pubmed/33385171 http://dx.doi.org/10.1007/s00439-020-02249-w Text en © The Author(s) 2020, corrected publication 2021 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Original Investigation Hägg, Sara Jylhävä, Juulia Wang, Yunzhang Czene, Kamila Grassmann, Felix Deciphering the genetic and epidemiological landscape of mitochondrial DNA abundance |
title | Deciphering the genetic and epidemiological landscape of mitochondrial DNA abundance |
title_full | Deciphering the genetic and epidemiological landscape of mitochondrial DNA abundance |
title_fullStr | Deciphering the genetic and epidemiological landscape of mitochondrial DNA abundance |
title_full_unstemmed | Deciphering the genetic and epidemiological landscape of mitochondrial DNA abundance |
title_short | Deciphering the genetic and epidemiological landscape of mitochondrial DNA abundance |
title_sort | deciphering the genetic and epidemiological landscape of mitochondrial dna abundance |
topic | Original Investigation |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8099832/ https://www.ncbi.nlm.nih.gov/pubmed/33385171 http://dx.doi.org/10.1007/s00439-020-02249-w |
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