Identification of 12 genetic loci associated with human healthspan

• DOI: 10.1038/s42003-019-0290-0
• Publication Date: 2019-01-30T11:04:42Z
• Authors: Aleksandr Zenin; Yakov Tsepilov; Sodbo Sharapov; Evgeny Getmantsev; L. I. Menshikov; Peter O. Fedichev; Yurii Aulchenko
• Keywords: Male; 0303 health sciences; Health Status; Longevity; Quantitative Trait Loci; Computational Biology; Molecular Sequence Annotation; Polymorphism, Single Nucleotide; Article; United Kingdom; 3. Good health; 03 medical and health sciences; Quantitative Trait, Heritable; Cluster Analysis; Humans; Female; Alleles; Genetic Association Studies; Aged; Genome-Wide Association Study

AbstractAging populations face diminishing quality of life due to increased disease and morbidity. These challenges call for longevity research to focus on understanding the pathways controlling healthspan. We use the data from the UK Biobank (UKB) cohort and observe that the risks of major chronic diseases increased exponentially and double every eight years, i.e., at a rate compatible with the Gompertz mortality law. Assuming that aging drives the acceleration in morbidity rates, we build a risk model to predict the age at the end of healthspan depending on age, gender, and genetic background. Using the sub-population of 300,447 British individuals as a discovery cohort, we identify 12 loci associated with healthspan at the whole-genome significance level. We find strong genetic correlations between healthspan and all-cause mortality, life-history, and lifestyle traits. We thereby conclude that the healthspan offers a promising new way to interrogate the genetics of human longevity.