Human lifespan: recent trends and genetic determinants
dc.contributor.advisor
Wilson, James
dc.contributor.advisor
Joshi, Peter
dc.contributor.author
Timmers, Paul Reimund Hugo Jan
dc.contributor.sponsor
Medical Research Council (MRC)
en
dc.date.accessioned
2021-09-14T15:58:14Z
dc.date.available
2021-09-14T15:58:14Z
dc.date.issued
2020-11-30
dc.description.abstract
Human lifespan is determined by a complex interplay of genetics, environment,
lifestyle and chance. In the UK, life expectancy has increased by roughly three
years every decade, but despite longer lives, individuals also spend more years
living with chronic disease. With populations greying and periods of morbidity
becoming more prolonged, the burden of ageing and age-related disease is set to
become a major healthcare challenge. Understanding the factors underlying
trends in human lifespan could guide policy interventions to mitigate the burden
of disease, while an understanding of the genetics of lifespan could provide
insight into the ageing process. The latter could in turn reveal potential
therapeutic targets to delay age-related disease and inform which individuals to
target based on their genetic risk.
In this thesis, I explore human lifespan from these two perspectives. First, I
examined trends in mortality and morbidity in two million Scots using hospital
admission and death records and found recent improvements in lifespan could be
largely explained by improvements in the incidence and survival after
hospitalisation of cancers and heart disease. However, I also found recent
deteriorations in infectious disease, especially for individuals from lower
socioeconomic classes, suggesting a need for a renewed public health focus in this
area. Next, I performed a genome-wide association study (GWAS) to find genetic
determinants of lifespan using DNA from 27 European cohorts and the lifespans
of their parents (one million total). I identified 12 genomic regions affecting
survival and found genetic variants across the genome, when aggregated into
polygenic scores, could distinguish up to five years of survival between score
deciles. Combining the lifespan GWAS with two other GWAS of lifespan-related
traits, I identified 78 genes—some of which delay ageing in model organisms—
which putatively influence both human lifespan and healthy years of life and
which are enriched for haem metabolism. These findings present the most
promising targets for therapeutic interventions to date, which may help delay the
onset of age-related disease and extend the healthy years of life for all.
en
dc.identifier.uri
https://hdl.handle.net/1842/38042
dc.identifier.uri
http://dx.doi.org/10.7488/era/1313
dc.language.iso
en
en
dc.publisher
The University of Edinburgh
en
dc.relation.hasversion
Timmers PRHJ, Mounier N, Lall K, et al. Genomics of 1 million parent lifespans implicates novel pathways and common diseases and distinguishes survival chances [dataset]. Elife 2019;8. doi:https://doi.org/10.7488/ds/2463
en
dc.relation.hasversion
Timmers PR, Kerssens JJ, Minton JW, et al. Trends in disease incidence and survival and their effect on mortality in Scotland: nationwide cohort study of linked hospital admission and death records 2001–2016. BMJ Open Published Online First: 2020. doi:http://dx.doi.org/10.1136/bmjopen2019-034299
en
dc.subject
lifespan
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dc.subject
healthy years of life
en
dc.subject
iron processing
en
dc.subject
morbidity and mortality
en
dc.subject
genome-wide association study
en
dc.title
Human lifespan: recent trends and genetic determinants
en
dc.type
Thesis or Dissertation
en
dc.type.qualificationlevel
Doctoral
en
dc.type.qualificationname
PhD Doctor of Philosophy
en
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