Publication Date:
2010-07-03
Description:
Healthy aging is thought to reflect the combined influence of environmental factors (lifestyle choices) and genetic factors. To explore the genetic contribution, we undertook a genome-wide association study of exceptional longevity (EL) in 1055 centenarians and 1267 controls. Using these data, we built a genetic model that includes 150 single-nucleotide polymorphisms (SNPs) and found that it could predict EL with 77% accuracy in an independent set of centenarians and controls. Further in silico analysis revealed that 90% of centenarians can be grouped into 19 clusters characterized by different combinations of SNP genotypes-or genetic signatures-of varying predictive value. The different signatures, which attest to the genetic complexity of EL, correlated with differences in the prevalence and age of onset of age-associated diseases (e.g., dementia, hypertension, and cardiovascular disease) and may help dissect this complex phenotype into subphenotypes of healthy aging.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Sebastiani, Paola -- Solovieff, Nadia -- Puca, Annibale -- Hartley, Stephen W -- Melista, Efthymia -- Andersen, Stacy -- Dworkis, Daniel A -- Wilk, Jemma B -- Myers, Richard H -- Steinberg, Martin H -- Montano, Monty -- Baldwin, Clinton T -- Perls, Thomas T -- R01 AR055115/AR/NIAMS NIH HHS/ -- New York, N.Y. -- Science. 2010 Jul 1;2010. doi: 10.1126/science.1190532. Epub 2010 Jul 1.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Department of Biostatistics, Boston University School of Public Health, Boston, MA 02118, USA. sebas@bu.edu〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/20595579" target="_blank"〉PubMed〈/a〉
Print ISSN:
0036-8075
Electronic ISSN:
1095-9203
Topics:
Biology
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Chemistry and Pharmacology
,
Computer Science
,
Medicine
,
Natural Sciences in General
,
Physics
