Baku, October 23, AZERTAC
By studying the effect of genetic variations on lifespan across the human genome, researchers have devised a way to estimate whether an individual can expect to live longer or shorter than average, and have advanced scientific understanding of the diseases and cellular pathways involved in aging. Their findings were presented at the American Society of Human Genetics (ASHG) 2018 Annual Meeting in San Diego, Calif.
Presenting author Paul Timmers, MRes, a graduate student at the University of Edinburgh, and an international group of collaborators set out to identify key genetic drivers of lifespan. In the largest ever genome-wide association study of lifespan to date, they paired genetic data from more than 500,000 participants in the UK Biobank and other cohorts with data on the lifespan of each participant's parents. Rather than studying the effects of one or more selected genes on lifespan, they looked across the whole genome to answer the question in a more open-ended way and identify new avenues to explore in future work.
Because the effect of any given gene is so small, the large sample size was necessary to identify genes relevant to lifespan with enough statistical power, Mr. Timmers explained. Using this sample, the researchers validated six previously identified associations between genes and aging, such as the APOE gene, which has been tied to risk of neurodegenerative disease. They also discovered 21 new genomic regions that influence lifespan.
They used their results to develop a polygenic risk score for lifespan: a single, personalized genomic score that estimates a person's genetic likelihood of a longer life. Based on weighted contributions from relevant genetic variants, this score allowed the researchers to predict which participants were likely to live longest.
"Using a person's genetic information alone, we can identify the 10 percent of people with the most protective genes, who will live an average of five years longer than the least protected 10 percent," said Mr. Timmers.
The researchers also wanted to know whether genetic variants were affecting the aging process directly or affecting risk of individual diseases that could lead to death. They found that among common variants -- variants found in at least 1 in 200 people -- those associated with Alzheimer's disease, heart disease, and smoking-related conditions were linked to overall lifespan. Notably, they did not find lifespan associations for other cancers, suggesting that susceptibility to death caused by other cancers is due to rarer genetic variants or the environment.
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