Abstract

Ageing may be due to mutation accumulation across the lifespan, leading to tissue dysfunction, disease, and death. We tested whether germline autosomal mutation rates in young adults predict their remaining survival, and, for women, their reproductive lifespans. Age-adjusted mutation rates (AAMRs) in 61 women and 61 men from the Utah CEPH (Centre d’Etude du Polymorphisme Humain) families were determined. Age at death, cause of death, all-site cancer incidence, and reproductive histories were provided by the Utah Population Database, Utah Cancer Registry, and Utah Genetic Reference Project. Higher AAMRs were significantly associated with higher all-cause mortality in both sexes combined. Subjects in the top quartile of AAMRs experienced more than twice the mortality of bottom quartile subjects (hazard ratio [HR], 2.07; 95% confidence interval [CI], 1.21–3.56; p = 0.008; median survival difference = 4.7 years). Fertility analyses were restricted to women whose age at last birth (ALB) was ≥ 30 years, the age when fertility begins to decline. Women with higher AAMRs had significantly fewer live births and a younger ALB. Adult germline mutation accumulation rates are established in adolescence, and later menarche in women is associated with delayed mutation accumulation. We conclude that germline mutation rates in healthy young adults may provide a measure of both reproductive and systemic ageing. Puberty may induce the establishment of adult mutation accumulation rates, just when DNA repair systems begin their lifelong decline.

Details

Title
Germline mutation rates in young adults predict longevity and reproductive lifespan
Author
Cawthon, Richard M 1 ; Meeks, Huong D 2 ; Sasani, Thomas A 1 ; Smith, Ken R 2 ; Kerber, Richard A 3 ; O’Brien Elizabeth 3 ; Baird, Lisa 1 ; Dixon, Melissa M 4 ; Peiffer, Andreas P 4 ; Leppert, Mark F 1 ; Quinlan, Aaron R 5 ; Jorde, Lynn B 6 

 Department of Human Genetics, University of Utah, Salt Lake City, United States (GRID:grid.223827.e) (ISNI:0000 0001 2193 0096) 
 Population Science, Huntsman Cancer Institute, University of Utah Health, Salt Lake City, United States (GRID:grid.479969.c) (ISNI:0000 0004 0422 3447) 
 Department of Health Management & Systems Sciences, University of Louisville, Louisville, United States (GRID:grid.266623.5) (ISNI:0000 0001 2113 1622) 
 Department of Pediatrics, University of Utah, Salt Lake City, United States (GRID:grid.223827.e) (ISNI:0000 0001 2193 0096) 
 Department of Human Genetics, University of Utah, Salt Lake City, United States (GRID:grid.223827.e) (ISNI:0000 0001 2193 0096); Department of Biomedical Informatics, University of Utah, Salt Lake City, United States (GRID:grid.223827.e) (ISNI:0000 0001 2193 0096); USTAR Center for Genetic Discovery, University of Utah, Salt Lake City, United States (GRID:grid.223827.e) (ISNI:0000 0001 2193 0096) 
 Department of Human Genetics, University of Utah, Salt Lake City, United States (GRID:grid.223827.e) (ISNI:0000 0001 2193 0096); USTAR Center for Genetic Discovery, University of Utah, Salt Lake City, United States (GRID:grid.223827.e) (ISNI:0000 0001 2193 0096) 
Publication year
2020
Publication date
2020
Publisher
Nature Publishing Group
e-ISSN
20452322
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2414911651
Copyright
© The Author(s) 2020. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.