Extreme Longevity Genes Discovered

Centenarians show successful aging as they remain active and alert at very old ages. Scientists at Stanford University and the University of Bologna have begun to unravel the basis for longevity by finding genetic loci associated with extreme longevity.

Previous work indicated that centenarians have factors in their genetic make-up that contribute to successful aging. However, prior genetic studies have identified only a single gene APOE that was different in centenarians versus normal agers. The results from the current study indicate that several disease variants may be absent in centenarians versus the general population.

The report by Kristen Fortney and colleagues, published in PLOS Genetics, is an example of using Big Data to glean information about an extremely complicated trait such as longevity. To find the longevity genes, the authors first derived a new statistical method (termed ‘informed GWAS’) that takes advantage of knowledge from fourteen diseases to narrow the search genes associated with longevity. Using iGWAS, the scientists found five longevity loci that provide clues about physiological mechanisms for successful aging. These loci are known to be involved in various processes including cell senescence, autoimmunity and cell signaling, and also with Alzheimer’s disease.

The incidence of nearly all diseases increases with age, so understanding genetic factors for successful aging could have a large impact on health. Future work may lead to a better understanding of how these genes promote successful aging. Also, future studies could identify additional longevity genes by recruiting more centenarians for analysis.

Reference:

1.Kristen Fortney, Edgar Dobriban, Paolo Garagnani, Chiara Pirazzini, Daniela Monti, Daniela Mari, Gil Atzmon, Nir Barzilai, Claudio Franceschi, Art B. Owen, Stuart K. Kim. Genome-Wide Scan Informed by Age-Related Disease Identifies Loci for Exceptional Human Longevity. PLOS Genetics, 2015; 11 (12): e1005728 DOI: 10.1371/journal.pgen.1005728

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