RETRACTED: Genetic signatures of exceptional longevity in humans.
paper
Cited
Public
Unavailable
- Authors
- 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
- Year
- 2010
- Journal
- Science (New York, N.Y.)
- PMID
- 20595579
- DOI
- 10.1126/science.1190532
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.
No figures extracted from this document.
No chunks β full text not yet ingested.
No entities extracted from this document yet.
No uploaded files.
Not in any collection.
No citations found.
In this knowledge base
External
| Title | Authors | Journal | Year | Link |
|---|---|---|---|---|
| Genetic architecture of human aging and longevity: Insights from genome-wide association studies. | Yoon D et al. | β | 2026 | β |
| Blood-based biomarkers in centenarians and non-centenarians: a matched, population-based retrospective cohort study using primary care records in Catalonia, Spain. | Moreno MA et al. | β | 2025 | β |
| Genome-wide association studies, Polygenic Risk Scores and Mendelian randomisation: an overview of common genetic epidemiology methods for ophthalmic clinicians. | Lee SS et al. | β | 2025 | β |
| A Targeted Association Study of Blood-Brain Barrier Gene SNPs and Brain Atrophy. | Vacher M et al. | β | 2022 | β |
| <i>Toxoplasma gondii</i> infection and peripheral-blood gene expression profiling of older people reveals dysregulation of cytokines and identifies hub genes as potential therapeutic targets. | Naranjo-Galvis CA et al. | β | 2022 | β |
| Making External Validation Valid for Molecular Classifier Development. | Wu Y et al. | β | 2021 | β |
| Genetic risk factors of ME/CFS: a critical review. | Dibble JJ et al. | β | 2020 | β |
| Maximum reproductive lifespan correlates with CD33rSIGLEC gene number: Implications for NADPH oxidase-derived reactive oxygen species in aging. | Khan N et al. | β | 2020 | β |
| The rise of #SocialMedia in the Nephrology world. | Diniz H et al. | β | 2020 | β |
| The role of social media in cardiology. | Mandrola J et al. | β | 2020 | β |
| Gastro-intestinal and oral microbiome signatures associated with healthy aging. | Singh H et al. | β | 2019 | β |
| Genetics of common complex kidney stone disease: insights from genome-wide association studies. | Palsson R et al. | β | 2019 | β |
| Harnessing Human Microphysiology Systems as Key Experimental Models for Quantitative Systems Pharmacology. | Taylor DL et al. | β | 2019 | β |
| In Human and Mouse Spino-Cerebellar Tissue, Ataxin-2 Expansion Affects Ceramide-Sphingomyelin Metabolism. | Sen NE et al. | β | 2019 | β |
| PlateDesigner: a web-based application for the design of microplate experiments. | Suprun M et al. | β | 2019 | β |
| A tutorial on conducting genome-wide association studies: Quality control and statistical analysis. | Marees AT et al. | β | 2018 | β |
| Proper experimental design requires randomization/balancing of molecular ecology experiments. | BΓ‘lint M et al. | β | 2018 | β |
| The effects of aerobic and anaerobic exercises on circulating soluble-Klotho and IGF-I in young and elderly adults and in CAD patients. | Saghiv MS et al. | β | 2017 | β |
| Association between Age and the 7 Repeat Allele of the Dopamine D4 Receptor Gene. | Szekely A et al. | β | 2016 | β |
| Association between Longevity and Element Levels in Food and Drinking Water of Typical Chinese Longevity Area. | Hao Z et al. | β | 2016 | β |
| Ataxin-2 (Atxn2)-Knock-Out Mice Show Branched Chain Amino Acids and Fatty Acids Pathway Alterations. | Meierhofer D et al. | β | 2016 | β |
| The road to precision psychiatry: translating genetics into disease mechanisms. | Gandal MJ et al. | β | 2016 | β |
| Test set bias affects reproducibility of gene signatures. | Patil P et al. | β | 2015 | β |
| 12q24 locus association with type 1 diabetes: SH2B3 or ATXN2? | Auburger G et al. | β | 2014 | β |
| Association claims in the sequencing era. | Pulit SL et al. | β | 2014 | β |
| Avoiding test set bias with rank-based prediction | Patil P et al. | β | 2014 | β |
| Gender-specific DNA methylome analysis of a Han Chinese longevity population. | Sun L et al. | β | 2014 | β |
| svaseq: removing batch effects and other unwanted noise from sequencing data. | Leek JT | β | 2014 | β |
| Ataxin-2 modulates the levels of Grb2 and SRC but not ras signaling. | Drost J et al. | β | 2013 | β |
| Genome-wide association study meta-analysis of European and Asian-ancestry samples identifies three novel loci associated with bipolar disorder. | Chen DT et al. | β | 2013 | β |
| Genome-wide association study of Tourette's syndrome. | Scharf JM et al. | β | 2013 | β |
| Genomics of human health and aging. | Kulminski AM et al. | β | 2013 | β |
| Aging biology and novel targets for drug discovery. | Le Couteur DG et al. | β | 2012 | β |
| Artifact due to differential error when cases and controls are imputed from different platforms. | Sinnott JA et al. | β | 2012 | β |
| Association mapping and disease: evolutionary perspectives. | Besenbacher S et al. | β | 2012 | β |
| Bag of NaΓ―ve Bayes: biomarker selection and classification from genome-wide SNP data. | Sambo F et al. | β | 2012 | β |
| [Β« Biology/medicine 2.0 Β»: an overview]. | Boudry C | β | 2012 | β |
| Establishment of induced pluripotent stem cells from centenarians for neurodegenerative disease research. | Yagi T et al. | β | 2012 | β |
| Extending healthy ageing: nutrient sensitive pathway and centenarian population. | Davinelli S et al. | β | 2012 | β |
| Genetic variations and patient-reported quality of life among patients with lung cancer. | Sloan JA et al. | β | 2012 | β |
| Identification of blood biomarkers of aging by transcript profiling of whole blood. | Nakamura S et al. | β | 2012 | β |
| Learning from our GWAS mistakes: from experimental design to scientific method. | Lambert CG et al. | β | 2012 | β |
| Methods: Face up to false positives. | Macarthur D | β | 2012 | β |
| Prediction of expected years of life using whole-genome markers. | de los Campos G et al. | β | 2012 | β |
| Research conducted using data obtained through online communities: ethical implications of methodological limitations. | Janssens AC et al. | β | 2012 | β |
| A bayesian method for evaluating and discovering disease loci associations. | Jiang X et al. | β | 2011 | β |
| APOE and Alzheimer disease: a major gene with semi-dominant inheritance. | Genin E et al. | β | 2011 | β |
| Computational biology for ageing. | Wieser D et al. | β | 2011 | β |
| Establishment and characterization of a transgenic mouse model for in vivo imaging of Bmp4 expression in the pancreas. | Yasunaga M et al. | β | 2011 | β |
| Expansions of NK-like Ξ±Ξ²T cells with chronologic aging: novel lymphocyte effectors that compensate for functional deficits of conventional NK cells and T cells. | Vallejo AN et al. | β | 2011 | β |
| Genomics for disease treatment and prevention. | Bloss CS et al. | β | 2011 | β |
| Genomics of human longevity. | Slagboom PE et al. | β | 2011 | β |
| Healthy aging as disease? | Nieuwenhuis-Mark RE | β | 2011 | β |
| Intrinsic aerobic capacity sets a divide for aging and longevity. | Koch LG et al. | β | 2011 | β |
| Large common deletions associate with mortality at old age. | Kuningas M et al. | β | 2011 | β |
| Lifestyle factors of people with exceptional longevity. | Rajpathak SN et al. | β | 2011 | β |
| Meeting report: American Aging Association 40th Annual Meeting, Raleigh, North Carolina, June 3-6, 2011. | Swan M | β | 2011 | β |
| Peer review: Trial by Twitter. | Mandavilli A | β | 2011 | β |
| Pitfalls of merging GWAS data: lessons learned in the eMERGE network and quality control procedures to maintain high data quality. | Zuvich RL et al. | β | 2011 | β |
| RasGrf1 deficiency delays aging in mice. | BorrΓ‘s C et al. | β | 2011 | β |
| RasGrf1: genomic imprinting, VSELs, and aging. | Ratajczak MZ et al. | β | 2011 | β |
| Retraction. | Sebastiani P et al. | β | 2011 | β |
| Statistical Optimization of Pharmacogenomics Association Studies: Key Considerations from Study Design to Analysis. | Grady BJ et al. | β | 2011 | β |
| Variations in apolipoprotein E frequency with age in a pooled analysis of a large group of older people. | McKay GJ et al. | β | 2011 | β |
| Ageing: Predicting long life. | Muers M | β | 2010 | β |
| Clustering by genetic ancestry using genome-wide SNP data. | Solovieff N et al. | β | 2010 | β |
| Cognitive function, physical performance, health, and disease: norms from the georgia centenarian study. | Davey A et al. | β | 2010 | β |
| Editorial expression of concern. | Alberts B | β | 2010 | β |
| Expression of linear and novel circular forms of an INK4/ARF-associated non-coding RNA correlates with atherosclerosis risk. | Burd CE et al. | β | 2010 | β |
| Facts and ideas from anywhere. | Roberts WC | β | 2010 | β |
| Nature versus nurture: death of a dogma, and the road ahead. | Traynor BJ et al. | β | 2010 | β |
| The genetics of Alzheimer disease: back to the future. | Bertram L et al. | β | 2010 | β |
| The genetics of child psychiatric disorders: focus on autism and Tourette syndrome. | State MW | β | 2010 | β |
| Using public control genotype data to increase power and decrease cost of case-control genetic association studies. | Ho LA et al. | β | 2010 | β |