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Genetics of healthy aging and longevity
Open accessAbstract
Longevity and healthy aging are among the most complex phenotypes studied to date. The heritability of age at death in adulthood is approximately 25 %. Studies of exceptionally long-lived individuals show that heritability is greatest at the oldest ages. Linkage studies of exceptionally long-lived families now support a longevity locus on chromosome 3; other putative longevity loci differ between studies. Candidate gene studies have identified variants at APOE and FOXO3A associated with longevity; other genes show inconsistent results. Genome-wide association scans (GWAS) of centenarians vs. younger controls reveal only APOE as achieving genome-wide significance (GWS); however, analyses of combinations of SNPs or genes represented among associations that do not reach GWS have identified pathways and signatures that converge upon genes and biological processes related to aging. The impact of these SNPs, which may exert joint effects, may be obscured by gene-environment interactions or inter-ethnic differences. GWAS and whole genome sequencing data both show that the risk alleles defined by GWAS of common complex diseases are, perhaps surprisingly, found in long-lived individuals, who may tolerate them by means of protective genetic factors. Such protective factors may 'buffer' the effects of specific risk alleles. Rare alleles are also likely to contribute to healthy aging and longevity. Epigenetics is quickly emerging as a critical aspect of aging and longevity. Centenarians delay age-related methylation changes, and they can pass this methylation preservation ability on to their offspring. Non-genetic factors, particularly lifestyle, clearly affect the development of age-related diseases and affect health and lifespan in the general population. To fully understand the desirable phenotypes of healthy aging and longevity, it will be necessary to examine whole genome data from large numbers of healthy long-lived individuals to look simultaneously at both common and rare alleles, with impeccable control for population stratification and consideration of non-genetic factors such as environment.
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“the ɛ4 allele is a strong genetic risk factor for Alzheimer disease,20 and by far the strongest hit in genome-wide association studies of longevity.21,22”
From Plasma levels of apolipoprotein E, APOE genotype, and all-cause and cause-specific mortality in 105 949 individuals from a white general population cohort (2019) · cites this paper as [22]
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Cites
Principal components analysis corrects for stratification in genome-wide association studies
Price, A. L., Patterson, N. J., Plenge, R. M., Weinblatt, M. E., Shadick, N. A., & Reich, D. (2006) · Nature Genetics · doi:10.1038/ng1847 · Cited by 10,248
Genome-wide methylation profiles reveal quantitative views of human aging rates
Hannum, G., Guinney, J., Zhao, L., Zhang, L., Hughes, G., Sadda, S., Klotzle, B., Bibikova, M., Fan, J.-B., Gao, Y., et al. (2013) · Molecular Cell · doi:10.1016/j.molcel.2012.10.016 · Cited by 4,270
Aging, natural death, and the compression of morbidity
Fries, J. F. (1980) · New England Journal of Medicine · doi:10.1056/nejm198007173030304 · Cited by 3,356
Genomic Control for Association Studies
Devlin, B., & Roeder, K. (1999) · Biometrics · doi:10.1111/j.0006-341x.1999.00997.x · Cited by 3,162 · cited 2×
“The use of principal components analysis (Price et al. 2006) or genomic controls (Devlin and Roeder 1999) can mitigate this problem, as can the conduct of studies within specific ethnic groups (Barzilai et al. 2001).”
BackgroundHsp90 as a capacitor for morphological evolution
Rutherford, S. L., & Lindquist, S. (1998) · Nature · doi:10.1038/24550 · Cited by 2,270
Signals from the reproductive system regulate the lifespan of C. elegans
Hsin, H., & Kenyon, C. J. (1999) · Nature · doi:10.1038/20694 · Cited by 1,014
Herskind, A. M., McGue, M., Holm, N. V., Sørensen, T. I. A., Harvald, B., & Vaupel, J. W. (1996) · Human Genetics · doi:10.1007/bf02185763 · Cited by 879
Distinct DNA methylomes of newborns and centenarians
Heyn, H., Li, N., Ferreira, H. J., Moran, S., Pisano, D. G., Gomez, A., Diez, J., Sanchez-Mut, J. V., Setien, F., Carmona, F. J., et al. (2012) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1120658109 · Cited by 802
Intra-individual Change Over Time in DNA Methylation With Familial Clustering
Bjornsson, H. T. (2008) · JAMA · doi:10.1001/jama.299.24.2877 · Cited by 702
Bell, J. T., Tsai, P.-C., Yang, T.-P., Pidsley, R., Nisbet, J. P., Glass, D., Mangino, M., Zhai, G., Zhang, F., Valdes, A. M., et al. (2012) · PLoS Genetics · doi:10.1371/journal.pgen.1002629 · Cited by 700
Research works printed but not linked: 1
- Deelen J, Uh HW, Monajemi R, van Heemst D, Thijssen PE, Bohringer S, van den Akker EB, de Craen AJ, Rivadeneira F, Uitterlinden AG, Westendorp RG, Goeman JJ, Slagboom PE, Houwing-Duistermaat JJ, Beekman M (2013) Gene set analysis of GWAS data for human longevity highlights the relevance of the insulin/IGF-1 signaling and telomere maintenance pathways. Age (Dordr) 35:235–249 · DOI
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Rea, I. M., Gibson, D. S., McGilligan, V., McNerlan, S. E., Alexander, H. D., & Ross, O. A. (2018) · Frontiers in Immunology · doi:10.3389/fimmu.2018.00586 · Cited by 1,267
White, M. C., Holman, D. M., Boehm, J. E., Peipins, L. A., Grossman, M., & Jane Henley, S. (2014) · American Journal of Preventive Medicine · doi:10.1016/j.amepre.2013.10.029 · Cited by 762
History and progress of hypotheses and clinical trials for Alzheimer’s disease
Liu, P.-P., Xie, Y., Meng, X.-Y., & Kang, J.-S. (2019) · Signal Transduction and Targeted Therapy · doi:10.1038/s41392-019-0063-8 · Cited by 723
Long live FOXO : unraveling the role of FOXO proteins in aging and longevity
Martins, R., Lithgow, G. J., & Link, W. (2015) · Aging Cell · doi:10.1111/acel.12427 · Cited by 758
Towards a comprehensive public health response to population ageing
Beard, J., & Bloom, D. E. (2014) · The Lancet · doi:10.1016/s0140-6736(14)61461-6 · Cited by 612
Cai, Y., Song, W., Li, J., Jing, Y., Liang, C., Zhang, L., Zhang, X., Zhang, W., Liu, B., An, Y., et al. (2022) · Science China Life Sciences · doi:10.1007/s11427-022-2161-3 · Cited by 450
Gut microbiota signatures of longevity
Kong, F., Hua, Y., Zeng, B., Ning, R., Li, Y., & Zhao, J. (2016) · Current Biology · doi:10.1016/j.cub.2016.08.015 · Cited by 371
Ling, Z., Liu, X., Cheng, Y., Yan, X., & Wu, S. (2020) · Critical Reviews in Food Science and Nutrition · doi:10.1080/10408398.2020.1867054 · Cited by 378
FOXO3: A Major Gene for Human Longevity - A Mini-Review
Morris, B. J., Willcox, D. C., Donlon, T. A., & Willcox, B. J. (2015) · Gerontology · doi:10.1159/000375235 · Cited by 353
Therapeutic strategies targeting FOXO transcription factors
Calissi, G., Lam, E. W. ‐., & Link, W. (2020) · Nature Reviews Drug Discovery · doi:10.1038/s41573-020-0088-2 · Cited by 339
Physiological geroscience: targeting function to increase healthspan and achieve optimal longevity
Seals, D. R., Justice, J. N., & LaRocca, T. J. (2015) · The Journal of Physiology · doi:10.1113/jphysiol.2014.282665 · Cited by 334
Ruby, J. G., Wright, K. M., Rand, K. A., Kermany, A., Noto, K., Curtis, D., Varner, N., Garrigan, D., Slinkov, D., Dorfman, I., et al. (2018) · Genetics · doi:10.1534/genetics.118.301613 · Cited by 263
Cancer and Aging: Two Tightly Interconnected Biological Processes
Berben, L., Floris, G., Wildiers, H. P. M. W., & Hatse, S. (2021) · Cancers · doi:10.3390/cancers13061400 · Cited by 253
Whole-genome sequencing of a healthy aging cohort
Erikson, G. A., Bodian, D. L., Rueda, M., Molparia, B., Scott, E. R., Scott-Van Zeeland, A. A., Topol, S. E., Wineinger, N. E., Niederhuber, J. E., Topol, E. J., et al. (2016) · Cell · doi:10.1016/j.cell.2016.03.022 · Cited by 202
Simon, L. M., Edelstein, L. C., Nagalla, S., Woodley, A. B., Chen, E. S., Kong, X., Ma, L., Fortina, P. M., Kunapuli, S. P., Holinstat, M. A., et al. (2014) · Blood · doi:10.1182/blood-2013-12-544692 · Cited by 229
Blood Epigenetic Age may Predict Cancer Incidence and Mortality
Zheng, Y., Joyce, B. T., Colicino, E., Liu, L., Zhang, W., Dai, Q., Shrubsole, M. J., Kibbe, W. A., Gao, T., Zhang, Z., et al. (2016) · EBioMedicine · doi:10.1016/j.ebiom.2016.02.008 · Cited by 224
FOXO Transcriptional Factors and Long‐Term Living
Murtaza, G., Khan, A. K., Rashid, R., Muneer, S., Hasan, S. M. F., & Chen, J. (2017) · Oxidative Medicine and Cellular Longevity · doi:10.1155/2017/3494289 · Cited by 182
The Longitudinal Study of Aging in Human Young Adults: Knowledge Gaps and Research Agenda
Moffitt, T. E., Belsky, D. W., Danese, A., Poulton, R., & Caspi, A. (2017) · The Journals of Gerontology Series A: Biological Sciences and Medical Sciences · doi:10.1093/gerona/glw191 · Cited by 117
Marttila, S., Kananen, L., Häyrynen, S., Jylhävä, J., Nevalainen, T., Hervonen, A., Jylhä, M. K., Nykter, M., & Hurme, M. (2015) · BMC Genomics · doi:10.1186/s12864-015-1381-z · Cited by 154
Circulating Proteomic Signatures of Chronological Age
Menni, C., Kiddle, S. J., Mangino, M., Viñuela, A., Psatha, M., Steves, C., Sattlecker, M., Buil, A., Newhouse, S., Nelson, S., et al. (2015) · The Journals of Gerontology: Series A · doi:10.1093/gerona/glu121 · Cited by 144
APOE Stabilization by Exercise Prevents Aging Neurovascular Dysfunction and Complement Induction
Soto, I., Graham, L. C., Richter, H. J., Simeone, S. N., Radell, J. E., Grabowska, W., Funkhouser, W. K., Howell, M. C., & Howell, G. R. (2015) · PLOS Biology · doi:10.1371/journal.pbio.1002279 · Cited by 140
Domains and Measurements of Healthy Aging in Epidemiological Studies: A Review
Lu, W., Pikhart, H., & Sacker, A. (2018) · The Gerontologist · doi:10.1093/geront/gny029 · Cited by 152
Human Ageing Genomic Resources: updates on key databases in ageing research
de Magalhães, J. P., Abidi, Z., dos Santos, G. A., Avelar, R. A., Barardo, D., Chatsirisupachai, K., Clark, P. A., De‐Souza, E. A., Johnson, E. J., Lopes, I., et al. (2023) · Nucleic Acids Research · doi:10.1093/nar/gkad927 · Cited by 143
Lanni, C., Masi, M., Racchi, M., & Govoni, S. (2021) · Molecular Psychiatry · doi:10.1038/s41380-020-0760-2 · Cited by 130
Kong, F., Deng, F., Li, Y., & Zhao, J. (2018) · Gut Microbes · doi:10.1080/19490976.2018.1494102 · Cited by 126
Genetic factors associated with longevity: A review of recent findings
Shadyab, A. H., & LaCroix, A. Z. (2014) · Ageing Research Reviews · doi:10.1016/j.arr.2014.10.005 · Cited by 112
Theories of Aging: An Ever-Evolving Field
Владимирович, С. П., Dontsova, O. А., & Berezkin, G. V. (2015) · Acta Naturae · doi:10.32607/20758251-2015-7-1-9-18 · Cited by 116
Montero, C. G., Fraile‐Μartinez, O., Bravo, C., Torres‐Carranza, D., Sánchez‐Trujillo, L., Gomez-Lahoz, A. M., Guijarro, L. G., García‐Honduvilla, N., Asúnsolo, Á., Buján, J., et al. (2021) · Vaccines · doi:10.3390/vaccines9050433 · Cited by 112
What Can We Learn About Human Disease from the Nematode C. elegans?
Apfeld, J., & Alper, S. (2018) · Methods in molecular biology · doi:10.1007/978-1-4939-7471-9_4 · Cited by 116
Risk Factors of Severe COVID-19: A Review of Host, Viral and Environmental Factors
Zsichla, L., & Müller, V. (2023) · Viruses · doi:10.3390/v15010175 · Cited by 121
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Nguyen, T., & Corvera, S. (2024) · Nature Metabolism · doi:10.1038/s42255-024-01046-3 · Cited by 118
Back to the future: Epigenetic clock plasticity towards healthy aging
Declerck, K., & Berghe, W. V. (2018) · Mechanisms of Ageing and Development · doi:10.1016/j.mad.2018.01.002 · Cited by 107
The plasma metabolome as a predictor of biological aging in humans
Johnson, L. C., Parker, K., Aguirre, B. F., Nemkov, T. G., D’Alessandro, A., Johnson, S., Seals, D. R., & Martens, C. R. (2019) · GeroScience · doi:10.1007/s11357-019-00123-w · Cited by 92
Traditional fermented foods with anti-aging effect: A concentric review
Das, G., Paramithiotis, S., Sivamaruthi, B. S., Wijaya, C. H., Suharta, S., Sanlier, N., Shin, H., & Patra, J. K. (2020) · Food Research International · doi:10.1016/j.foodres.2020.109269 · Cited by 92
FOXO3 on the Road to Longevity: Lessons From SNPs and Chromatin Hubs
Sanese, P., Forte, G., Disciglio, V., Grossi, V., & Simone, C. (2019) · Computational and Structural Biotechnology Journal · doi:10.1016/j.csbj.2019.06.011 · Cited by 90
Rasmussen, K. L., Tybjærg-Hansen, A., Nordestgaard, B. G., & Frikke-Schmidt, R. (2019) · European Heart Journal · doi:10.1093/eurheartj/ehz402 · Cited by 86
Aging Biomarkers: From Functional Tests to Multi‐Omics Approaches
Kudryashova, K. S., Burka, K., Kulaga, A. Y., Vorobyeva, N. S., & Kennedy, B. K. (2020) · PROTEOMICS · doi:10.1002/pmic.201900408 · Cited by 95
Aging and cardiovascular diseases: the role of gene-diet interactions
Corella, D., & Ordovás, J. M. (2014) · Ageing Research Reviews · doi:10.1016/j.arr.2014.08.002 · Cited by 83
Telomere length and telomerase activity in T cells are biomarkers of high‐performing centenarians
Tedone, E., Huang, E. E., O’Hara, R. A., Batten, K. G., Ludlow, A. T., Lai, T., Arosio, B., Mari, D., Wright, W. E., & Shay, J. W. (2018) · Aging Cell · doi:10.1111/acel.12859 · Cited by 81
Kumar, A., Joishy, T. K., Das, S., Kalita, M. C., Mukherjee, A. K., & Khan, M. R. (2022) · Antioxidants · doi:10.3390/antiox11020268 · Cited by 80
The FoxO3 gene and cause‐specific mortality
Willcox, B. J., Tranah, G. J., Chen, R., Morris, B. J., Masaki, K., He, Q., Willcox, D. C., Allsopp, R., Moisyadi, S., Poon, L. W., et al. (2016) · Aging Cell · doi:10.1111/acel.12452 · Cited by 77
Biomarkers selection and mathematical modeling in biological age estimation
Bafei, S. E. C., & Shen, C. (2023) · npj Aging · doi:10.1038/s41514-023-00110-8 · Cited by 91
Tesi, N., van der Lee, S. J., Hulsman, M., Jansen, I. E., Stringa, N., van Schoor, N. M., Scheltens, P., van der Flier, W. M., Huisman, M., Reinders, M. J. T., et al. (2020) · Translational Psychiatry · doi:10.1038/s41398-020-01018-7 · Cited by 67
Tesi, N., van der Lee, S. J., Hulsman, M., Jansen, I. E., Stringa, N., van Schoor, N., Meijers-Heijboer, H., Huisman, M., Scheltens, P., Reinders, M. J. T., et al. (2019) · European Journal of Human Genetics · doi:10.1038/s41431-018-0273-5 · Cited by 65
Leisure-time physical activity and DNA methylation age—a twin study
Sillanpää, E., Ollikainen, M., Kaprio, J. A., Wang, X., Leskinen, T., Kujala, U. M., & Törmäkangas, T. (2019) · Clinical Epigenetics · doi:10.1186/s13148-019-0613-5 · Cited by 70
Pharmaceutical and nutraceutical activation of FOXO3 for healthy longevity
McIntyre, R. L., Liu, Y. J., Hu, I. M., Morris, B. J., Willcox, B. J., Donlon, T. A., Houtkooper, R. H., & Janssens, G. E. (2022) · Ageing Research Reviews · doi:10.1016/j.arr.2022.101621 · Cited by 68
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Gagnon, A. (2015) · Fertility and Sterility · doi:10.1016/j.fertnstert.2015.03.030 · Cited by 62
Neven, K. Y., Nawrot, T. S., & Bollati, V. (2017) · Current Environmental Health Reports · doi:10.1007/s40572-017-0130-7 · Cited by 61
Diniz, C. W. P., de Oliveira, T. C. G., Soares, F. C., de Macedo, L. D. E. D., Diniz, D. L. W. P., & Bento-Torres, N. V. O. (2014) · Clinical Interventions in Aging · doi:10.2147/cia.s54383 · Cited by 60
The association between intelligence and lifespan is mostly genetic
Arden, R., Luciano, M., Deary, I. J., Reynolds, C. A., Pedersen, N. L., Plassman, B. L., McGue, M. K., Christensen, K., & Visscher, P. M. (2015) · International Journal of Epidemiology · doi:10.1093/ije/dyv112 · Cited by 66
Dozmorov, M. G., Coit, P., Maksimowicz‐McKinnon, K., & Sawalha, A. H. (2017) · Epigenomics · doi:10.2217/epi-2016-0143 · Cited by 57
Yuan, L., Zhai, L., Qian, L., Huang, D., Ding, Y., Xiang, H., Liu, X., Thompson, J. W., Liu, J., He, Y., et al. (2018) · Cell Research · doi:10.1038/s41422-018-0043-5 · Cited by 57
How Important Are Genes to Achieve Longevity?
Caruso, C., Ligotti, M. E., Accardi, G., Aiello, A., Duro, G., Galimberti, D., & Candore, G. (2022) · International Journal of Molecular Sciences · doi:10.3390/ijms23105635 · Cited by 60
Deciphering the mechanisms, biochemistry, physiology, and social habits in the process of aging
Asejeje, F. O., & Ogunro, O. B. (2023) · Archives of Gerontology and Geriatrics Plus · doi:10.1016/j.aggp.2023.100003 · Cited by 58
Zhang, J., Zhang, C., Du, Z., Zhu, L., Wang, J., Wang, J., & Li, B. J. (2020) · The Science of The Total Environment · doi:10.1016/j.scitotenv.2020.140753 · Cited by 51
Phenome and genome based studies into human ageing and longevity: An overview
Slagboom, P. E., van den Berg, N., & Deelen, J. (2017) · Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease · doi:10.1016/j.bbadis.2017.09.017 · Cited by 50
The Microbiome Mediates Environmental Effects on Aging
Finlay, B. B., Pettersson, S., Melby, M. K., & Bosch, T. C. G. (2019) · BioEssays · doi:10.1002/bies.201800257 · Cited by 48
SIRT6 Minor Allele Genotype Is Associated with >5-Year Decrease in Lifespan in an Aged Cohort
Tennapel, M. J., Lynch, C. F., Burns, T. L., Wallace, R. B., Smith, B. J., Button, A. M., & Domann, F. E. (2014) · PLoS ONE · doi:10.1371/journal.pone.0115616 · Cited by 46
Persson, N., Ghisletta, P., Dahle, C. L., Bender, A. R., Yang, Y., Yuan, P., Daugherty, A. M., & Raz, N. (2014) · NeuroImage · doi:10.1016/j.neuroimage.2014.09.042 · Cited by 45
Roles of physical exercise in neurodegeneration: reversal of epigenetic clock
Xu, M., Zhu, J., Liu, X.-D., Luo, M.-Y., & Xu, N.-J. (2021) · Translational Neurodegeneration · doi:10.1186/s40035-021-00254-1 · Cited by 46
He, L., Kernogitski, Y., Culminskaya, I. V., Loika, Y., Arbeev, K. G., Loiko, E., Bagley, O., Duan, M., Yashkin, A. P., Ukraintseva, S. V., et al. (2016) · Frontiers in Genetics · doi:10.3389/fgene.2016.00179 · Cited by 45
Measuring healthy ageing: current and future tools
Silva, N., Rajado, A. T., Esteves, F., Brito, D. V. C., Apolónio, J. D., Roberto, V. P., Binnie, A., Araújo, I. M., Nóbrega, C., Bragança, J., et al. (2023) · Biogerontology · doi:10.1007/s10522-023-10041-2 · Cited by 51
Johnson, L. C., Martens, C. R., Santos‐Parker, J. R., Bassett, C. J., Strahler, T. R., Cruickshank-Quinn, C. I., Reisdorph, N. A., McQueen, M. B., & Seals, D. R. (2018) · Clinical Science · doi:10.1042/cs20180409 · Cited by 45
Sun, L., Hu, C., Zheng, C., Qian, Y., Liang, Q., Lv, Z., Huang, Z., Qi, K., Gong, H., Zhang, Z., et al. (2015) · Scientific Reports · doi:10.1038/srep09852 · Cited by 41
Associations of Alzheimer Disease–Protective APOE Variants With Age-Related Macular Degeneration
Rasmussen, K. L., Tybjærg-Hansen, A., Nordestgaard, B. G., & Frikke-Schmidt, R. (2023) · JAMA Ophthalmology · doi:10.1001/jamaophthalmol.2022.4602 · Cited by 40
Testing evolutionary models of senescence: traditional approaches and future directions
Robins, C., & Conneely, K. N. (2014) · Human Genetics · doi:10.1007/s00439-014-1492-7 · Cited by 39
Quinlan, R. A., & Clark, J. I. (2022) · Journal of Biological Chemistry · doi:10.1016/j.jbc.2022.102537 · Cited by 41
Epigenetic Regulation of Aging and its Rejuvenation
An, Y., Wang, Q., Gao, K., Zhang, C., Ouyang, Y., Li, R., Zhou, M., Wu, T., Zhou, L., Xie, Z., et al. (2025) · MedComm · doi:10.1002/mco2.70369 · Cited by 47
Ruxton, C. H. S., Derbyshire, E. J., & Toribio-Mateas, M. A. (2015) · Journal of Human Nutrition and Dietetics · doi:10.1111/jhn.12335 · Cited by 39
The use of old donors in liver transplantation
Dasari, B. V. M., Schlegel, A. A., Mergental, H., & Perera, M. T. P. R. (2017) · Best Practice & Research Clinical Gastroenterology · doi:10.1016/j.bpg.2017.03.002 · Cited by 38
Moore, A. Z., Hernandez, D. G., Tanaka, T., Pilling, L. C., Nalls, M. A., Bandinelli, S., Singleton, A., & Ferrucci, L. (2015) · The Journals of Gerontology Series A · doi:10.1093/gerona/glv118 · Cited by 38
Polygenic Risk Score of Longevity Predicts Longer Survival Across an Age Continuum
Tesi, N., van der Lee, S. J., Hulsman, M., Jansen, I. E., Stringa, N., van Schoor, N. M., Scheltens, P., van der Flier, W. M., Huisman, M. A., Reinders, M. J. T., et al. (2020) · The Journals of Gerontology Series A · doi:10.1093/gerona/glaa289 · Cited by 39
Wang, F., Huang, G.-H., Cai, D., Li, D.-L., Liang, X., Yu, T., Shen, P., Su, H.-Y., Liu, J.-D., Gu, H., et al. (2015) · Current Microbiology · doi:10.1007/s00284-015-0804-z · Cited by 34
Differential DNA methylation and lymphocyte proportions in a Costa Rican high longevity region
McEwen, L. M., Morin, A. M., Edgar, R. D., MacIsaac, J. L., Jones, M. J., Dow, W. H., Rosero‐Bixby, L., Kobor, M. S., & Rehkopf, D. H. (2017) · Epigenetics & Chromatin · doi:10.1186/s13072-017-0128-2 · Cited by 36
Tindale, L. C., Leach, S. R., Spinelli, J. J., & Brooks-Wilson, A. R. (2017) · Oncotarget · doi:10.18632/oncotarget.15296 · Cited by 36
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Lozupone, M., Dibello, V., Sardone, R., Castellana, F., Zupo, R., Lampignano, L., Bortone, I., Daniele, A., Bellomo, A., Solfrizzi, V., et al. (2023) · Biology · doi:10.3390/biology12121529 · Cited by 39
Ageing with elegans: a research proposal to map healthspan pathways
Luyten, W. H. M. L., Antal, P., Braeckman, B. P., Bundy, J. G., Cirulli, F., Fang-Yen, C. M., Fuellen, G., Leroi, A. M., Liu, Q., Martorell, P., et al. (2016) · Biogerontology · doi:10.1007/s10522-016-9644-x · Cited by 36
Adult height, dietary patterns, and healthy aging
Ma, W., Hagan, K. A., Heianza, Y., Sun, Q., Rimm, E. B., & Qi, L. (2017) · American Journal of Clinical Nutrition · doi:10.3945/ajcn.116.147256 · Cited by 35
Genetics and Pharmacology of Longevity
Castillo-Quan, J. I., Kinghorn, K. J., & Bjedov, I. (2015) · Advances in genetics · doi:10.1016/bs.adgen.2015.06.002 · Cited by 37
Zeng, L., Yang, J., Peng, S., Zhu, J., Zhang, B., Suh, Y., & Tu, Z. (2020) · Aging Cell · doi:10.1111/acel.13121 · Cited by 32
Kim, J. H., & Thiruvengadam, R. (2024) · Ageing Research Reviews · doi:10.1016/j.arr.2024.102344 · Cited by 49
Aging-Related Oxidative Stress: Positive Effect of Memory Training
Pesce, M., Tatangelo, R., Fratta, I. L., Rizzuto, A., Campagna, G., Turli, C., Ferrone, A., Franceschelli, S., Speranza, L., Patruno, A., et al. (2017) · Neuroscience · doi:10.1016/j.neuroscience.2017.09.046 · Cited by 32
Stojiljkovic, M. R., Schmeer, C. W., & Witte, O. W. (2022) · Neuroscience · doi:10.1016/j.neuroscience.2022.02.018 · Cited by 31
Noninvasive Techniques for Tracking Biological Aging of the Cardiovascular System
Raisi‐Estabragh, Z., Szabó, L. E., Schuermans, A., Salih, A. M., Chin, C., Vágó, H., Altmann, A., Ng, F. S., Garg, P., Pavanello, S., et al. (2024) · JACC. Cardiovascular imaging · doi:10.1016/j.jcmg.2024.03.001 · Cited by 31
Kong, K., Li, B., Chang, Y., Zhao, C., Qiao, H., Jin, M., Wu, X., Fan, W., Wang, L., Qi, Y., et al. (2025) · Journal of Nanobiotechnology · doi:10.1186/s12951-025-03103-9 · Cited by 31
Genetics of frailty: A longevity perspective
Sathyan, S., & Verghese, J. (2020) · Translational research · doi:10.1016/j.trsl.2020.03.005 · Cited by 32
Vaqué‐Alcázar, L., Sala‐Llonch, R., Valls‐Pedret, C., Dídac Vidal-piñeiro, A., Fernández‐Cabello, S., Bargalló, N., Ros, E., & Bartrés‐Faz, D. (2016) · Brain Imaging and Behavior · doi:10.1007/s11682-016-9584-8 · Cited by 30
Intrinsic and environmental basis of aging: A narrative review
Navarro, C., Salazar, J. J., Diaz, M. P., Chacín, M., Santeliz, R., Vera, I., D’Marco, L., Parra, H., Bernal, M. C., Castro, A. V., et al. (2023) · Heliyon · doi:10.1016/j.heliyon.2023.e18239 · Cited by 34
Giuliani, C., Barbieri, C., Li, M., Bucci, L., Monti, D., Passarino, G., Luiselli, D., Franceschi, C., Stoneking, M., & Garagnani, P. (2014) · Aging · doi:10.18632/aging.100661 · Cited by 29
System‐level metabolic modeling facilitates unveiling metabolic signature in exceptional longevity
Li, G., Han, F., Xiao, F., Gu, K., Shen, Q., Xu, W., Li, W., Wang, Y., Liang, B., Huang, J., et al. (2022) · Aging Cell · doi:10.1111/acel.13595 · Cited by 29
Living long and ageing well: is epigenomics the missing link between nature and nurture?
The ACUME2 Project, Rea, I. M., Dellett, M., & Mills, K. (2015) · Biogerontology · doi:10.1007/s10522-015-9589-5 · Cited by 29
Biological clocks and physical functioning in monozygotic female twins
Sillanpää, E., Laakkonen, E. K., Vaara, E. M., Rantanen, T., Kovanen, V., Sipilä, S., Kaprio, J. A., & Ollikainen, M. (2018) · BMC Geriatrics · doi:10.1186/s12877-018-0775-6 · Cited by 29
The role of Foxo3a in neuron-mediated cognitive impairment
Liu, Q., Wu, G., Wang, X., Xiong, X.-W., Rui-Wang, & Yao, B.-L. (2024) · Frontiers in Molecular Neuroscience · doi:10.3389/fnmol.2024.1424561 · Cited by 27
Gender difference of metabolic syndrome and its association with dietary diversity at different ages
Tian, X., Xu, X., Zhang, K., & Wang, H. (2017) · Oncotarget · doi:10.18632/oncotarget.20625 · Cited by 28
Gu, Q., Sable, C. M., Brooks-Wilson, A. R., & Murphy, R. A. (2020) · BMC Geriatrics · doi:10.1186/s12877-020-01507-w · Cited by 30
Self-citationAging mechanisms—A perspective mostly from Drosophila
Tsurumi, A., & Li, W. X. (2020) · Advanced Genetics · doi:10.1002/ggn2.10026 · Cited by 33
Chen, R., Morris, B. J., Donlon, T. A., Masaki, K., Willcox, D. C., Davy, P. M. C., Allsopp, R., & Willcox, B. J. (2020) · Aging · doi:10.18632/aging.202175 · Cited by 28
Are apolipoprotein E fragments a promising new therapeutic target for Alzheimer’s disease?
Vecchio, F. L., Bisceglia, P., Imbimbo, B. P., Lozupone, M., Latino, R. R., Resta, E., Leone, M., Solfrizzi, V., Greco, A., Daniele, A., et al. (2022) · Therapeutic Advances in Chronic Disease · doi:10.1177/20406223221081605 · Cited by 28
FoxO3a confers cetuximab resistance in RAS wild-type metastatic colorectal cancer through c-Myc
Yu, Y., Guo, M., Wei, Y., Yu, S., Li, H., Wang, Y., Xu, X., Cui, Y., Tian, J., Liang, L., et al. (2016) · Oncotarget · doi:10.18632/oncotarget.13105 · Cited by 27
Lin, R., Zhang, Y., Yan, D., Liao, X., Gong, G., Hu, J., Fu, Y., & Cai, W. (2015) · Journal of Human Genetics · doi:10.1038/jhg.2015.150 · Cited by 28
Metadata
- Authors
- Brooks-Wilson, A. R.
- Affiliations
- BC Cancer Agency (CA)
- Corresponding author
- Brooks-Wilson, Angela R.
- Venue
- Human Genetics
- Published
- 2013-08-08
- Volume
- 132
- Issue
- 12
- Pages
- 1323-1338
- ISSN
- 0018-7348 (ISSN-L)
- 0340-6717
- 1432-1203
- PMC
- PMC3898394
- OpenAlex
- W2072130124
- Cited by
- 380
- References
- 123
- Citations by year
- 2026: 17 · 2025: 31 · 2024: 40 · 2023: 33 · 2022: 34 · 2021: 43 · 2020: 25 · 2019: 26 · 2018: 30 · 2017: 24 · 2016: 23 · 2015: 35 · 2014: 19
- FWCI
- 1.58
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Locations
- Human Genetics (publishedVersion, cc-by)
- Europe PMC (PubMed Central) (publishedVersion)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Aging › Genetics, Aging, and Longevity in Model Organisms
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genetic Associations and Epidemiology
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genetics and Physical Performance
- Keywords
- healthy aging, longevity, centenarians, apolipoprotein E, FOXO3, chromosome 3, genome-wide association study, candidate genes, gene-environment interaction, rare alleles, epigenetics, DNA methylation, lifestyle factors, age-related diseases, population stratification
- MeSH terms
- Aging, Health, Humans, Life Expectancy, Genetic Linkage, Longevity, Genetic Variation, Epigenesis, Genetic, Genome-Wide Association Study, Gene-Environment Interaction
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