Research Paper Volume 5, Issue 9 pp 653—661
Meta-analysis of genetic variants associated with human exceptional longevity
- 1 Department of Biostatistics, Boston University School of Public Health, Boston MA 02118, USA
- 2 Section of Geriatrics, Department of Medicine, Boston University School of Medicine and Boston Medical Center, Boston, MA 02118, USA
- 3 Division of Statistical Genomics, Washington University School of Medicine, St. Louis, MO 63110, USA
- 4 Laboratorio di Informatica Biomedica, Dipartimento di Ingegneria Industriale e dell'Informazione, Università di Pavia, Pavia, Italy
- 5 Research Center for Physical Fitness, Sports and Health, Toyohashi University of Technology, Toyohashi, Japan
- 6 Division of Geriatric Medicine, Department of Internal Medicine, Keio University School of Medicine, Tokyo, Japan
- 7 Taub Institute for Research on Alzheimer's Disease and the Aging Brain, Columbia University Medical Center, New York, NY 10032, USA
- 8 Unit of Genetics, Cardiovascular Research Institute Istituto Ricovero Cura Carattere Scientifico Multimedica, Sesto S. Giovanni, Italy; Facolta' di Medicina, Universita' di Salerno, Baronissi, Italy
Received: August 2, 2013 Accepted: August 22, 2013 Published: August 24, 2013
https://doi.org/10.18632/aging.100594How to Cite
Abstract
Despite evidence from family studies that there is a strong genetic influence upon exceptional longevity, relatively few genetic variants have been associated with this trait. One reason could be that many genes individually have such weak effects that they cannot meet standard thresholds of genome wide significance, but as a group in specific combinations of genetic variations, they can have a strong influence. Previously we reported that such genetic signatures of 281 genetic markers associated with about 130 genes can do a relatively good job of differentiating centenarians from non-centenarians particularly if the centenarians are 106 years and older. This would support our hypothesis that the genetic influence upon exceptional longevity increases with older and older (and rarer) ages. We investigated this list of markers using similar genetic data from 5 studies of centenarians from the USA, Europe and Japan. The results from the meta-analysis show that many of these variants are associated with survival to these extreme ages in other studies. Since many centenarians compress morbidity and disability towards the end of their lives, these results could point to biological pathways and therefore new therapeutics to increase years of healthy lives in the general population.