Effects of FOXO genotypes on longevity: a biodemographic analysis.
Repository Usage Stats
Based on data from 760 centenarians and 1060 middle-age controls (all Han Chinese), this article contributes biodemographic insights and syntheses concerning the magnitude of effects of the FOXO genotypes on longevity. We also estimate independent and joint effects of the genotypes of FOXO1A and FOXO3A genes on long-term survival, considering carrying or not-carrying the minor allele of the single-nucleotide polymorphism of another relevant gene. We found substantial gender differences in the independent effects; positive effects of FOXO3A and negative effects of FOXO1A largely compensate each other if one carries both, although FOXO3A has a stronger impact. Ten-year follow-up cohort analysis shows that at very advanced ages 92-110, adjusted for various confounders, positive effects of FOXO3A on survival remain statistically significant, but no significant effects of FOXO1A alone; G × G interactions between FOXO1A-209 and FOXO3A-310 or FOXO3A-292 decrease survival likelihood by 32%-36% (p < .05); G × E interactions between FOXO1A-209 and regular exercise increase survival likelihood by 31%-32% (p < .05).
SubjectAged, 80 and over
Asian Continental Ancestry Group
Forkhead Box Protein O1
Forkhead Box Protein O3
Forkhead Transcription Factors
Proportional Hazards Models
Published Version (Please cite this version)10.1093/gerona/glq156
Publication InfoZeng, Yi; Cheng, L; Chen, H; Cao, H; Hauser, Elizabeth Rebecca; Liu, Y; ... Vaupel, James Walton (2010). Effects of FOXO genotypes on longevity: a biodemographic analysis. J Gerontol A Biol Sci Med Sci, 65(12). pp. 1285-1299. 10.1093/gerona/glq156. Retrieved from http://hdl.handle.net/10161/14784.
This is constructed from limited available data and may be imprecise. To cite this article, please review & use the official citation provided by the journal.
More InfoShow full item record
Professor of Biostatistics and Bioinformatics
My research interests are focused on developing and applying statistical methods to search for genes causing common human diseases. Recent work has been in the development of statistical methods for genetic studies and in identifying optimal study designs for genetic studies of complex traits. As application of these methods to specific diseases has progressed it has become apparent that etiologic and genetic heterogeneity is a major stumbling block in the research for genes for common diseases.
Research Professor in the Sanford School of Public Policy
Professor in Medicine
(1) Socioeconomic, behavior, environmental and genetic determinants of healthy aging and healthy longevity; (2) Factors related to elderly disability and mental health; (3) Methods of family households and elderly living arrangements forecasting/analysis and their applications in health services and socioeconomic planning, and market studies; (4) Policy analysis in population aging, social welfare, retirement, and fertility transitions.
Alphabetical list of authors with Scholars@Duke profiles.