A meta-analysis of genome-wide association studies identifies multiple longevity genes
Open accessAbstract
Human longevity is heritable, but genome-wide association (GWA) studies have had limited success. Here, we perform two meta-analyses of GWA studies of a rigorous longevity phenotype definition including 11,262/3484 cases surviving at or beyond the age corresponding to the 90th/99th survival percentile, respectively, and 25,483 controls whose age at death or at last contact was at or below the age corresponding to the 60th survival percentile. Consistent with previous reports, rs429358 (apolipoprotein E (ApoE) ε4) is associated with lower odds of surviving to the 90th and 99th percentile age, while rs7412 (ApoE ε2) shows the opposite. Moreover, rs7676745, located near GPR78 , associates with lower odds of surviving to the 90th percentile age. Gene-level association analysis reveals a role for tissue-specific expression of multiple genes in longevity. Finally, genetic correlation of the longevity GWA results with that of several disease-related phenotypes points to a shared genetic architecture between health and longevity.
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
Several studies of large populations of individuals from European ancestry have raised the possibility that APOE is a longevity gene, with the APOEε2 variant associated with longer survival and the APOEε4 with shorter survival in a dose-dependent manner.
“Several studies of large populations of individuals from European ancestry have raised the possibility that APOE is a longevity gene, with the APOEε2 variant associated with longer survival and the APOEε4 with shorter survival in a dose-dependent manner90–94.”
From Multifaceted roles of APOE in Alzheimer disease (2024) · cites this paper as [92]
Split into 2 atoms — 1 confirmed, 1 partially supported, 0 disputed, 0 misattributed, 0 unverifiable. Expand the claim to see per-atom verdicts.
Experimental — accuracy not yet measuredAPOE2 carriers trended towards better survival in patients with low risk of melanoma-associated death.
“In contrast, APOE2 carriers trended towards better survival in patients with low risk of melanoma-associated death (Extended Data Fig. 9c–g), consistent with the known association of APOE2 with enhanced lifespan in the general population24.”
From Common germline variants of the human APOE gene modulate melanoma progression and survival (2020) · cites this paper as [24]
Genes that regulate lifespan in animal models and human studies, and multiple experimental paradigms, have demonstrated that it is possible to manipulate ageing biology to rejuvenate physiological functioning in complex model organisms.
“Genes that regulate lifespan in animal models6–9 and human studies10–14 as well as multiple experimental paradigms, such as caloric restriction, heterochronic parabiosis and partial epigenetic reprogramming, have demonstrated that it is possible to manipulate ageing biology to ‘rejuvenate’ physiological functioning in complex model organisms15–28.”
From Measuring biological age using omics data (2022) · cites this paper as [12]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Cites
López-Otín, C., Blasco, M. A., Partridge, L., Serrano, M., & Kroemer, G. (2013) · Cell · doi:10.1016/j.cell.2013.05.039 · Cited by 14,982 · see citing works
Statistical significance for genomewide studies
Storey, J. D., & Tibshirani, R. (2003) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1530509100 · Cited by 9,692 · see citing works
LD Score regression distinguishes confounding from polygenicity in genome-wide association studies
Schizophrenia Working Group of the Psychiatric Genomics Consortium, Bulik-Sullivan, B. K., Loh, P.-R., Finucane, H. K., Ripke, S., Yang, J., Patterson, N., Daly, M. J., Price, A. L., & Neale, B. M. (2015) · Nature Genetics · doi:10.1038/ng.3211 · Cited by 5,559 · see citing works
METAL: fast and efficient meta-analysis of genomewide association scans
Willer, C. J., Li, Y., & Abecasis, G. R. (2010) · Bioinformatics · doi:10.1093/bioinformatics/btq340 · Cited by 5,205 · see citing works
Giambartolomei, C., Vukcevic, D., Schadt, E. E., Franke, L., Hingorani, A. D., Wallace, C., & Plagnol, V. (2014) · PLoS Genetics · doi:10.1371/journal.pgen.1004383 · Cited by 4,261 · see citing works
Broken Limits to Life Expectancy
Oeppen, J., & Vaupel, J. W. (2002) · Science · doi:10.1126/science.1069675 · Cited by 2,819 · see citing works
Self-citationThe structure and function of G-protein-coupled receptors
Rosenbaum, D. M., Rasmussen, S. G. F., & Kobilka, B. K. (2009) · Nature · doi:10.1038/nature08144 · Cited by 2,534 · see citing works
Large-scale association analysis identifies 13 new susceptibility loci for coronary artery disease
Cardiogenics, Schunkert, H., the CARDIoGRAM Consortium, König, I. R., Kathiresan, S., Reilly, M. P., Assimes, T. L., Holm, H., Preuss, M., Stewart, A. F. R., et al. (2011) · Nature Genetics · doi:10.1038/ng.784 · Cited by 1,866 · see citing works
Self-citationApolipoprotein E: Far More Than a Lipid Transport Protein
Mahley, R. W., & Rall, S. C. (2000) · Annual Review of Genomics and Human Genetics · doi:10.1146/annurev.genom.1.1.507 · Cited by 1,836 · see citing works
Large-scale association analysis identifies new risk loci for coronary artery disease
The CARDIoGRAMplusC4D Consortium, Deloukas, P., DIAGRAM Consortium, CARDIOGENICS Consortium, MuTHER Consortium, Wellcome Trust Case Control Consortium, Kanoni, S., Willenborg, C., Farrall, M., Assimes, T. L., et al. (2013) · Nature Genetics · doi:10.1038/ng.2480 · Cited by 1,614 · see citing works
Self-citationSmoking prevalence and cigarette consumption in 187 countries, 1980-2012
Ng, M., Freeman, M. K., Fleming, T. D., Robinson, M., Dwyer-Lindgren, L., Thomson, B., Wollum, A., Sanman, E., Wulf, S., Lopez, A. D., et al. (2014) · JAMA · doi:10.1001/jama.2013.284692 · Cited by 1,576 · see citing works
PhenoScanner: a database of human genotype-phenotype associations.
Staley, J. R., Blackshaw, J., Kamat, M. A., Ellis, S., Surendran, P., Sun, B. B., Paul, D. S., Freitag, D., Burgess, S., Danesh, J., et al. (2016) · Bioinformatics · doi:10.1093/bioinformatics/btw373 · Cited by 1,479 · see citing works
Facing up to the global challenges of ageing
Partridge, L., Deelen, J., & Slagboom, P. E. (2018) · Nature · doi:10.1038/s41586-018-0457-8 · Cited by 1,475 · see citing works
Self-citationGenetic associations with human longevity at the APOE and ACE loci
Schächter, F., Faure-Delanef, L., Guénot, F., Rouger, H., Froguel, P., Lesueur-Ginot, L., & Cohen, D. (1994) · Nature Genetics · doi:10.1038/ng0194-29 · Cited by 1,095 · see citing works
Hou, L., Kellis, M., Liu, Y., Park, Y., & Rinaldi, N. J. (2018) · DSpace@MIT (Massachusetts Institute of Technology) · doi:10.34944/dspace/4648 · Cited by 1,082 · see citing works
Sex/Gender Differences in Cardiovascular Disease Prevention: What a Difference a Decade Makes
Mosca, L., Barrett-Connor, E., & Kass Wenger, N. (2011) · Circulation · doi:10.1161/circulationaha.110.968792 · Cited by 1,045 · see citing works
DIAbetes Genetics Replication And Meta-analysis (DIAGRAM) Consortium, Mahajan, A., Asian Genetic Epidemiology Network Type 2 Diabetes (AGEN-T2D) Consortium, South Asian Type 2 Diabetes (SAT2D) Consortium, Mexican American Type 2 Diabetes (MAT2D) Consortium, Type 2 Diabetes Genetic Exploration by Next-generation sequencing in multi-Ethnic Samples (T2D-GENES) Consortium, Go, M. J., Zhang, W., Below, J. E., Gaulton, K. J., et al. (2014) · Nature Genetics · doi:10.1038/ng.2897 · Cited by 1,034 · see citing works
Self-citationGenetic analyses of diverse populations improves discovery for complex traits
Wojcik, G. L., Graff, M., Nishimura, K. K., Tao, R., Haessler, J., Gignoux, C. R., Highland, H. M., Patel, Y. M., Sorokin, E. P., Avery, C. L., et al. (2019) · Nature · doi:10.1038/s41586-019-1310-4 · Cited by 1,033 · see citing works
Zheng, J., Erzurumluoglu, A. M., Elsworth, B. L., Kemp, J. P., Howe, L., Haycock, P. C., Hemani, G., Tansey, K., Laurin, C., Early Genetics and Lifecourse Epidemiology (EAGLE) Eczema Consortium, et al. (2017) · Bioinformatics · doi:10.1093/bioinformatics/btw613 · Cited by 869 · see citing works
Self-citationHan, B., & Eskin, E. (2011) · The American Journal of Human Genetics · doi:10.1016/j.ajhg.2011.04.014 · Cited by 680 · see citing works
Gale, E. A. M., & Gillespie, K. M. (2001) · Diabetologia · doi:10.1007/s001250051573 · Cited by 558 · see citing works
Quality control and conduct of genome-wide association meta-analyses
Winkler, T. W., Day, F. R., Croteau‐Chonka, D. C., Wood, A. R., Locke, A. E., Mägi, R., Ferreira, T., Fall, T., Graff, M., Justice, A. E., et al. (2014) · Nature Protocols · doi:10.1038/nprot.2014.071 · Cited by 502 · see citing works
Andersen, S. L., Paola Sebastiani, B., Dworkis, D. A., Feldman, L., & Perls, T. T. (2012) · The Journals of Gerontology Series A · doi:10.1093/gerona/glr223 · Cited by 382 · see citing works
Self-citationDeelen, J., Beekman, M., Uh, H., Helmer, Q., Kuningas, M., Christiansen, L., Kremer, D., van der Breggen, R., Suchiman, H. E. D., Lakenberg, N., et al. (2011) · Aging Cell · doi:10.1111/j.1474-9726.2011.00705.x · Cited by 280 · see citing works
Self-citationGWAS of Longevity in CHARGE Consortium Confirms APOE and FOXO3 Candidacy
Broer, L., Buchman, A. S., Deelen, J., Evans, D. S., Faul, J. D., Lunetta, K. L., Paola Sebastiani, B., Smith, J. A., Smith, A. V., Tanaka, T., et al. (2014) · The Journals of Gerontology Series A · doi:10.1093/gerona/glu166 · Cited by 279 · see citing works
Self-citationTimmers, P. R. H. J., Mounier, N., Läll, K., Fischer, K., Zheng, N., Feng, X., Bretherick, A. D., Clark, D. W., Agbessi, M. D. T., Ahsan, H., et al. (2019) · eLife · doi:10.7554/elife.39856 · Cited by 277 · see citing works
Self-citationRuby, 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 · see citing works
Westendorp, R. G. J., van Heemst, D., Rozing, M. P., Frölich, M., Mooijaart, S. P., Blauw, G. J., Beekman, M., Heijmans, B. T., de Craen, A. J. M., Slagboom, P. E., et al. (2009) · Journal of the American Geriatrics Society · doi:10.1111/j.1532-5415.2009.02381.x · Cited by 260 · see citing works
Self-citationDeelen, J., Beekman, M., Uh, H., Broer, L., Ayers, K. L., Tan, Q., Kamatani, Y., Bennet, A. M., Tamm, R., Trompet, S., et al. (2014) · Human Molecular Genetics · doi:10.1093/hmg/ddu139 · Cited by 254 · see citing works
Self-citationQuantitative analysis of population-scale family trees with millions of relatives
Kaplanis, J., Gordon, A., Shor, T., Weissbrod, O., Geiger, D., Wahl, M., Gershovits, M., Markus, B., Sheikh, M., Gymrek, M., et al. (2018) · Science · doi:10.1126/science.aam9309 · Cited by 245 · see citing works
Huang, Y., Weisgraber, K. H., Mucke, L., & Mahley, R. W. (2004) · Journal of Molecular Neuroscience · doi:10.1385/jmn:23:3:189 · Cited by 242 · see citing works
A proposed panel of biomarkers of healthy ageing
Lara, J., Cooper, R., Nissan, J. J., Ginty, A. T., Khaw, K., Deary, I. J., Lord, J. M., Kuh, D. J., & Mathers, J. C. (2015) · BMC Medicine · doi:10.1186/s12916-015-0470-9 · Cited by 225 · see citing works
Human longevity: 25 genetic loci associated in 389,166 UK biobank participants
Pilling, L. C., Kuo, C.-L., Sicinski, K., Tamosauskaite, J., Kuchel, G. A., Harries, L. W., Herd, P., Wallace, R., Ferrucci, L., & Melzer, D. (2017) · Aging · doi:10.18632/aging.101334 · Cited by 211 · see citing works
Review: a meta‐analysis of GWAS and age‐associated diseases
Jeck, W. R., Siebold, A. P., & Sharpless, N. E. (2012) · Aging Cell · doi:10.1111/j.1474-9726.2012.00871.x · Cited by 204 · see citing works
Nebel, A., Kleindorp, R., Caliebe, A., Nothnagel, M., Blanché, H., Junge, O., Wittig, M., Ellinghaus, D., Flachsbart, F., Wichmann, H. ‐., et al. (2011) · Mechanisms of Ageing and Development · doi:10.1016/j.mad.2011.06.008 · Cited by 201 · see citing works
Self-citationHealth and function of participants in the Long Life Family Study: A comparison with other cohorts
Newman, A. B., Glynn, N. W., Taylor, C. A., Paola Sebastiani, B., Perls, T. T., Mayeux, R. P., Christensen, K., Zmuda, J. M., Barral, S., Lee, J. H., et al. (2011) · Aging · doi:10.18632/aging.100242 · Cited by 195 · see citing works
Self-citationNovel loci and pathways significantly associated with longevity
Zeng, Y., Nie, C., Min, J., Liu, X., Li, M., Chen, H., Xu, H., Wang, M., Ni, T., Li, Y., et al. (2016) · Scientific Reports · doi:10.1038/srep21243 · Cited by 195 · see citing works
Self-citationIdentification of 12 genetic loci associated with human healthspan
Zenin, A., Tsepilov, Y., Sharapov, S., Getmantsev, E., Menshikov, L. I., Fedichev, P. O., & Aulchenko, Y. (2019) · Communications Biology · doi:10.1038/s42003-019-0290-0 · Cited by 170 · see citing works
Joshi, P. K., Pirastu, N., Kentistou, K. A., Fischer, K., Hofer, E., Schraut, K. E., Clark, D. W., Nutile, T., Barnes, C. L. K., Timmers, P. R. H. J., et al. (2017) · Nature Communications · doi:10.1038/s41467-017-00934-5 · Cited by 161 · see citing works
Self-citationAPOE Alleles and Extreme Human Longevity
Paola Sebastiani, B., Gurinovich, A., Nygaard, M., Sasaki, T., Sweigart, B., Bae, H. T., Andersen, S. L., Villa, F., Atzmon, G., Christensen, K., et al. (2018) · The Journals of Gerontology Series A · doi:10.1093/gerona/gly174 · Cited by 156 · see citing works
Self-citationNewman, A. B., Walter, S., Lunetta, K. L., Garcia, M. E., Slagboom, P. E., Christensen, K., Arnold, A. M., Aspelund, T., Aulchenko, Y. S., Benjamin, E. J., et al. (2010) · The Journals of Gerontology Series A · doi:10.1093/gerona/glq028 · Cited by 138 · see citing works
Self-citationLongevity defined as top 10% survivors and beyond is transmitted as a quantitative genetic trait
van den Berg, N., Rodríguez‐Girondo, M., van Dijk, I. K., Mourits, R. J., Mandemakers, K., Janssens, A. A. P. O., Beekman, M., Smith, K. R., & Slagboom, P. E. (2018) · Nature Communications · doi:10.1038/s41467-018-07925-0 · Cited by 115 · see citing works
Self-citationFour Genome-Wide Association Studies Identify New Extreme Longevity Variants
Paola Sebastiani, B., Gurinovich, A., Bae, H. T., Andersen, S. L., Malovini, A. L., Atzmon, G., Villa, F., Kraja, A. T., Ben‐Avraham, D., Barzilai, N., et al. (2017) · The Journals of Gerontology Series A · doi:10.1093/gerona/glx027 · Cited by 113 · see citing works
Self-citationIdentification and characterization of two functional variants in the human longevity gene FOXO3
Flachsbart, F., Dose, J., Gentschew, L., Geismann, C., Caliebe, A., Knecht, C., Nygaard, M., Badarinarayan, N., ElSharawy, A., May, S., et al. (2017) · Nature Communications · doi:10.1038/s41467-017-02183-y · Cited by 108 · see citing works
Self-citationHistorical demography and longevity genetics: Back to the future
van den Berg, N., Beekman, M., Smith, K. R., Janssens, A. A. P. O., & Slagboom, P. E. (2017) · Ageing Research Reviews · doi:10.1016/j.arr.2017.06.005 · Cited by 95 · see citing works
Self-citationSex Differences in Genetic Associations With Longevity
Zeng, Y., Nie, C., Min, J., Chen, H., Liu, X., Ye, R., Chen, Z., Bai, C., Xie, E., Yin, Z., et al. (2018) · JAMA Network Open · doi:10.1001/jamanetworkopen.2018.1670 · Cited by 90 · see citing works
Self-citationApoE gene and exceptional longevity: Insights from three independent cohorts
Garatachea, N., Emanuele, E., Calero, M., Fuku, N., Arai, Y., Abe, Y., Murakami, H., Miyachi, M., Yvert, T., Verde, Z., et al. (2014) · Experimental Gerontology · doi:10.1016/j.exger.2014.02.004 · Cited by 84 · see citing works
Bayesian association scan reveals loci associated with human lifespan and linked biomarkers
McDaid, A. F., Joshi, P. K., Porcu, E., Komljenović, A., Li, H., Sorrentino, V., Litovchenko, M., Bevers, R. P. J., Rüeger, S., Reymond, A., et al. (2017) · Nature Communications · doi:10.1038/ncomms15842 · Cited by 77 · see citing works
Paola Sebastiani, B., Nussbaum, L. S., Andersen, S. L., Black, M. J., & Perls, T. T. (2015) · The Journals of Gerontology Series A · doi:10.1093/gerona/glv020 · Cited by 74 · see citing works
Self-citationGrossi, V., Forte, G., Sanese, P., Peserico, A., Tezil, T., Signorile, M. L., Fasano, C., Lovaglio, R., Bagnulo, R., Loconte, D. C., et al. (2018) · Nucleic Acids Research · doi:10.1093/nar/gky331 · Cited by 71 · see citing works
Barbeira, A. N., Dickinson, S. P., Bonazzola, R., Zheng, J., Wheeler, H. E., Torres, J. M., Torstenson, E. S., Shah, K. P., Garcia, T., Edwards, T. L., et al. (2018) · Nature Communications · doi:10.1038/s41467-018-03621-1 · Cited by 69 · see citing works
Self-citationThe yin and yang of the Cdkn2a locus in senescence and aging
Baker, D. J., Jin, F., & van Deursen, J. M. (2008) · Cell Cycle · doi:10.4161/cc.7.18.6687 · Cited by 56 · see citing works
Genetic landscape of APOE in human longevity revealed by high-throughput sequencing
Ryu, S., Atzmon, G., Barzilai, N., Raghavachari, N., & Suh, Y. (2016) · Mechanisms of Ageing and Development · doi:10.1016/j.mad.2016.02.010 · Cited by 45 · see citing works
Self-citationNygaard, M., Lindahl‐Jacobsen, R., Soerensen, M., Mengel‐From, J., Andersen‐Ranberg, K., Jeune, B., Vaupel, J. W., Tan, Q., Christiansen, L., & Christensen, K. (2014) · Experimental Gerontology · doi:10.1016/j.exger.2014.04.018 · Cited by 31 · see citing works
Self-citationGenetics of Human Longevity From Incomplete Data: New Findings From the Long Life Family Study
Yashin, A. I., Arbeev, K. G., Wu, D., Arbeeva, L. S., Bagley, O., Stallard, E., Kulminski, A. M., Akushevich, I. V., Fang, F., Wojczynski, M. K., et al. (2018) · The Journals of Gerontology Series A · doi:10.1093/gerona/gly057 · Cited by 29 · see citing works
Self-citationLimitations and risks of meta-analyses of longevity studies
Paola Sebastiani, B., Bae, H. T., Gurinovich, A., Soerensen, M., Puca, A. A., & Perls, T. T. (2017) · Mechanisms of Ageing and Development · doi:10.1016/j.mad.2017.01.008 · Cited by 28 · see citing works
Self-citationShadyab, A. H., LaMonte, M. J., Kooperberg, C. L., Reiner, A. P., Carty, C. L., Manini, T. M., Hou, L., Di, C., & LaCroix, A. Z. (2017) · The Journals of Gerontology Series A · doi:10.1093/gerona/glx037 · Cited by 28 · see citing works
GPR78 promotes lung cancer cell migration and metastasis by activation of Gαq-Rho GTPase pathway
Dong, D., Zhou, H., & Gao, L. Q. (2016) · BMB Reports · doi:10.5483/bmbrep.2016.49.11.133 · Cited by 26 · see citing works
Shadyab, A. H., Kooperberg, C. L., Reiner, A. P., Jain, S., Manson, J. E., Hohensee, C., Macera, C. A., Shaffer, R. A., Gallo, L. C., & LaCroix, A. Z. (2016) · The Journals of Gerontology Series A · doi:10.1093/gerona/glw198 · Cited by 24 · see citing works
Immunochip analysis identifies association of the RAD 50/ IL 13 region with human longevity
Flachsbart, F., Ellinghaus, D., Gentschew, L., Heinsen, F., Caliebe, A., Christiansen, L., Nygaard, M., Christensen, K., Blanché, H., Deleuze, J., et al. (2016) · Aging Cell · doi:10.1111/acel.12471 · Cited by 23 · see citing works
Self-citationAPOE gene polymorphism in long-lived individuals from a central China population
Liu, G., Liu, X., Yu, P., Wang, Q., Wang, H., Li, C., Ye, G., Wu, X., & Tan, C. (2017) · Scientific Reports · doi:10.1038/s41598-017-03227-5 · Cited by 9 · see citing works
Self-citationLetter to the editor: Standardization of genetic association studies, pros and cons, reaffirmed
Kulminski, A. M., Culminskaya, I. V., & Yashin, A. I. (2013) · AGE · doi:10.1007/s11357-013-9602-3 · Cited by 2 · see citing works
Flagged first, then by citations
Cited by
Sorted by citations
Kronenberg, F., Mora, S., Stroes, E. S. G., Ference, B. A., Arsenault, B. J., Berglund, L., Dweck, M. R., Koschinsky, M., Lambert, G., Mach, F., et al. (2022) · European Heart Journal · doi:10.1093/eurheartj/ehac361 · Cited by 1,449 · see citing works
Measuring biological age using omics data
Rutledge, J., Oh, H., & Wyss-Coray, T. (2022) · Nature Reviews Genetics · doi:10.1038/s41576-022-00511-7 · Cited by 570 · see citing works
Melzer, D. R., Pilling, L. C., & Ferrucci, L. (2019) · Nature Reviews Genetics · doi:10.1038/s41576-019-0183-6 · Cited by 371 · see citing works
AI-powered therapeutic target discovery
Pun, F. W., Ozerov, I. V., & Zhavoronkov, A. (2023) · Trends in Pharmacological Sciences · doi:10.1016/j.tips.2023.06.010 · Cited by 341 · see citing works
Prospective study design and data analysis in UK Biobank
Allen, N. E., Lacey, B., Lawlor, D. A., Pell, J. P., Gallacher, J., Smeeth, L. L., Elliott, P., Matthews, P. M., Lyons, R. A., Whetton, A. D., et al. (2024) · Science Translational Medicine · doi:10.1126/scitranslmed.adf4428 · Cited by 289 · see citing works
Senescence and Cancer: A Review of Clinical Implications of Senescence and Senotherapies
Wyld, L., Bellantuono, I., Tchkonia, T., Morgan, J., Turner, O., Foss, F., George, J., Danson, S., & Kirkland, J. L. (2020) · Cancers · doi:10.3390/cancers12082134 · Cited by 235 · see citing works
“The rate at which aging occurs is highly variable and depends on both polygenic hereditary factors [9] and a wide range of environmental factors (such as obesity, diet, exercise, and exposure to drugs and chemicals), which is why biological and chronological age are often mis-matched.”
BackgroundCausality-enriched epigenetic age uncouples damage and adaptation
Ying, K., Liu, H., Tarkhov, A. E., Sadler, M. C., Lu, A. T.-H., Moqri, M., Horvath, S., Kutalik, Z., Shen, X., & Gladyshev, V. N. (2024) · Nature Aging · doi:10.1038/s43587-023-00557-0 · Cited by 213 · see citing works
Multifaceted roles of APOE in Alzheimer disease
Jackson, R. J., Hyman, B. T., & Serrano-Pozo, A. (2024) · Nature Reviews Neurology · doi:10.1038/s41582-024-00988-2 · Cited by 193 · see citing works
The accelerated aging phenotype: The role of race and social determinants of health on aging
Hooten, N. N., Pacheco, N. L., Smith, J. T., & Evans, M. K. (2021) · Ageing Research Reviews · doi:10.1016/j.arr.2021.101536 · Cited by 189 · see citing works
Self-citationGenetic associations for two biological age measures point to distinct aging phenotypes
Kuo, C., Pilling, L. C., Liu, Z., Atkins, J. L., & Levine, M. E. (2021) · Aging Cell · doi:10.1111/acel.13376 · Cited by 173 · see citing works
Identification of 12 genetic loci associated with human healthspan
Zenin, A., Tsepilov, Y., Sharapov, S., Getmantsev, E., Menshikov, L. I., Fedichev, P. O., & Aulchenko, Y. (2019) · Communications Biology · doi:10.1038/s42003-019-0290-0 · Cited by 170 · see citing works
Johnson, A. A., Shokhirev, M. N., Wyss-Coray, T., & Lehallier, B. (2020) · Ageing Research Reviews · doi:10.1016/j.arr.2020.101070 · Cited by 166 · see citing works
Multivariate genomic scan implicates novel loci and haem metabolism in human ageing
Timmers, P. R. H. J., Wilson, J. F., Joshi, P. K., & Deelen, J. (2020) · Nature Communications · doi:10.1038/s41467-020-17312-3 · Cited by 142 · see citing works
Self-citationGenome-wide association studies for Alzheimer’s disease: bigger is not always better
Escott-Price, V., & Hardy, J. (2022) · Brain Communications · doi:10.1093/braincomms/fcac125 · Cited by 119 · see citing works
Lipoprotein(a) and cardiovascular and valvular diseases: A genetic epidemiological perspective
Arsenault, B. J., & Kamstrup, P. R. (2022) · Atherosclerosis · doi:10.1016/j.atherosclerosis.2022.04.015 · Cited by 123 · see citing works
Longevity defined as top 10% survivors and beyond is transmitted as a quantitative genetic trait
van den Berg, N., Rodríguez‐Girondo, M., van Dijk, I. K., Mourits, R. J., Mandemakers, K., Janssens, A. A. P. O., Beekman, M., Smith, K. R., & Slagboom, P. E. (2018) · Nature Communications · doi:10.1038/s41467-018-07925-0 · Cited by 115 · see citing works
Self-citationCommon germline variants of the human APOE gene modulate melanoma progression and survival
Ostendorf, B. N., Bilanovic, J., Adaku, N., Tafreshian, K. N., Tavora, B., Vaughan, R. D., & Tavazoie, S. F. (2020) · Nature Medicine · doi:10.1038/s41591-020-0879-3 · Cited by 108 · see citing works
Wang, J., Chen, C., Zhou, J., Ye, L., Li, Y., Xu, L., Xu, Z., Li, X., Wei, Y., Liu, J., et al. (2023) · The Lancet Healthy Longevity · doi:10.1016/s2666-7568(23)00140-x · Cited by 103 · see citing works
Common diseases alter the physiological age-related blood microRNA profile
Fehlmann, T., Lehallier, B., Schaum, N., Hahn, O., Kahraman, M., Li, Y., Grammes, N. L., Geffers, L., Backes, C., Balling, R., et al. (2020) · Nature Communications · doi:10.1038/s41467-020-19665-1 · Cited by 99 · see citing works
Ukraintseva, S. V., Arbeev, K. G., Duan, M., Akushevich, I. V., Kulminski, A. M., Stallard, E., & Yashin, A. I. (2020) · Mechanisms of Ageing and Development · doi:10.1016/j.mad.2020.111418 · Cited by 97 · see citing works
Bain, C. C., Gibson, D. A., Steers, N. J., Boufea, K., Louwe, P. A., Doherty, C., González-Huici, V., Gentek, R., Magalhaes-Pinto, M., Shaw, T., et al. (2020) · Science Immunology · doi:10.1126/sciimmunol.abc4466 · Cited by 97 · see citing works
Schooling, C. M., Lopez, P. M., Yang, Z., Zhao, J. V., Au Yeung, S. L., & Huang, J. V. (2021) · Frontiers in Genetics · doi:10.3389/fgene.2020.610852 · Cited by 102 · see citing works
Rosoff, D. B., Mavromatis, L. A., Bell, A. S., Wagner, J., Jung, J., Marioni, R. E., Smith, G. D., Horvath, S., & Lohoff, F. W. (2023) · Nature Aging · doi:10.1038/s43587-023-00455-5 · Cited by 83 · see citing works
Lu, Y., Regan, J. C., Eßer, J., Drews, L. F., Weinseis, T., Stinn, J., Hahn, O., Miller, R. A., Grönke, S., & Partridge, L. (2021) · eLife · doi:10.7554/elife.62233 · Cited by 73 · see citing works
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 82 · see citing works
The genetic architecture of biological age in nine human organ systems
Wen, J., Tian, Y., Skampardoni, I., Yang, Z., Cui, Y., Anagnostakis, F., Mamourian, E., Zhao, B., Toga, A. W., Zalesky, A., et al. (2024) · Nature Aging · doi:10.1038/s43587-024-00662-8 · Cited by 73 · see citing works
Aging Fits the Disease Criteria of the International Classification of Diseases
Khaltourina, D. A., Matveyev, Y., Alekseev, A., Cortese, F., & Ioviţă, A. (2020) · Mechanisms of Ageing and Development · doi:10.1016/j.mad.2020.111230 · Cited by 71 · see citing works
The Medical Genome Reference Bank contains whole genome and phenotype data of 2570 healthy elderly
Pinese, M., Lacaze, P., Rath, E. M., Stone, A., Brion, M.-J., Ameur, A., Nagpal, S., Puttick, C., Husson, S., Degrave, D., et al. (2020) · Nature Communications · doi:10.1038/s41467-019-14079-0 · Cited by 70 · see citing works
The genetic architecture of multimodal human brain age
Wen, J., Zhao, B., Yang, Z., Erus, G., Skampardoni, I., Mamourian, E., Cui, Y., Hwang, G., Bao, J., Boquet-Pujadas, A., et al. (2024) · Nature Communications · doi:10.1038/s41467-024-46796-6 · Cited by 64 · see citing works
Xu, Q., Wu, C., Zhu, Q. R., Gao, R., Lu, J., Valles‐Colomer, M., Zhu, J., Yin, F., Huang, L., Ding, L., et al. (2022) · Nature Aging · doi:10.1038/s43587-022-00193-0 · Cited by 61 · see citing works
Role of estrogen in women's Alzheimer's disease risk as modified by APOE
Valencia‐Olvera, A. C., Weng, J. M., Christensen, A., LaDu, M. J., & Pike, C. J. (2022) · Journal of Neuroendocrinology · doi:10.1111/jne.13209 · Cited by 67 · see citing works
Hu, X., Cai, M., Xiao, J., Wan, X., Wang, Z., Zhao, H., & Yang, C. (2024) · The American Journal of Human Genetics · doi:10.1016/j.ajhg.2024.06.016 · Cited by 66 · see citing works
Modeling the human aging transcriptome across tissues, health status, and sex
Shokhirev, M. N., & Johnson, A. A. (2020) · Aging Cell · doi:10.1111/acel.13280 · Cited by 64 · see citing works
Widespread genomic influences on phenotype in Dravet syndrome, a ‘monogenic’ condition
Martins Custodio, H., Clayton, L. M., Bellampalli, R., Pagni, S., Silvennoinen, K., Caswell, R., Genomics England Research Consortium, Ambrose, J. C., Arumugam, P., Bevers, R., et al. (2023) · Brain · doi:10.1093/brain/awad111 · Cited by 62 · see citing works
Richardson, T. G., Wang, Q., Sanderson, E. C. M., Mahajan, A., McCarthy, M. I., Frayling, T. M., Ala‐Korpela, M., Sniderman, A. D., Smith, G. D., & Holmes, M. V. (2021) · The Lancet Healthy Longevity · doi:10.1016/s2666-7568(21)00086-6 · Cited by 61 · see citing works
Multi-omic underpinnings of epigenetic aging and human longevity
Mavromatis, L. A., Rosoff, D. B., Bell, A. S., Jung, J., Wagner, J., & Lohoff, F. W. (2023) · Nature Communications · doi:10.1038/s41467-023-37729-w · Cited by 61 · see citing works
Timmers, P. R. H. J., Tiys, E., Sakaue, S., Akiyama, M., Kiiskinen, T., Zhou, W., Hwang, S., Yao, C., Biobank Japan Project, Kamatani, Y., et al. (2022) · Nature Aging · doi:10.1038/s43587-021-00159-8 · Cited by 59 · see citing works
Self-citationvan Oort, S., Beulens, J. W. J., van Ballegooijen, A. J., Burgess, S., & Larsson, S. C. (2020) · Journal of Internal Medicine · doi:10.1111/joim.13196 · Cited by 59 · see citing works
Chen, J., Doyle, M. F., Fang, Y., Mez, J., Crane, P. K., Scollard, P., ADSP Data Harmonization Consortium Cognitive Harmonization Core, Satizabal, C. L., Alosco, M. L., Qiu, W. Q., et al. (2023) · Aging Cell · doi:10.1111/acel.13955 · Cited by 56 · see citing works
Self-citationCognitively healthy centenarians are genetically protected against Alzheimer's disease
Tesi, N., van der Lee, S., Hulsman, M., van Schoor, N. M., Huisman, M., Pijnenburg, Y., van der Flier, W. M., Reinders, M., & Holstege, H. (2024) · Alzheimer's & Dementia · doi:10.1002/alz.13810 · Cited by 52 · see citing works
Self-citationYe, C., Kong, L., Wang, Y.-Y., Dou, C., Zheng, J., Xu, M., Xu, Y., Li, M., Zhao, Z., Lu, J., et al. (2023) · Nature Human Behaviour · doi:10.1038/s41562-023-01646-1 · Cited by 55 · see citing works
ApoE e2 and aging-related outcomes in 379,000 UK Biobank participants
Kuo, C.-L., Pilling, L. C., Atkins, J. L., Kuchel, G. A., & Melzer, D. (2020) · Aging · doi:10.18632/aging.103405 · Cited by 55 · see citing works
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 54 · see citing works
Age-dependent effect of APOE and polygenic component on Alzheimer's disease
Bellou, E., Baker, E. A., Leonenko, G., Bracher‐Smith, M., Daunt, P., Menzies, G. E., Williams, J. H., & Escott‐Price, V. (2020) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2020.04.024 · Cited by 50 · see citing works
Lin, J.-R., Sin‐Chan, P., Napolioni, V., Torres, G. G., Mitra, J., Zhang, Q., Jabalameli, M. R., Wang, Z., Nguyen, N., Gao, T., et al. (2021) · Nature Aging · doi:10.1038/s43587-021-00108-5 · Cited by 51 · see citing works
Self-citationGenes and Longevity of Lifespan
Bin-Jumah, M. N., Nadeem, M. S., Gilani, S. J., Al-Abbasi, F. A., Ullah, I., Alzarea, S. I., Ghoneim, M. M., Alshehri, S., Ud-Din, A., Murtaza, B. N., et al. (2022) · International Journal of Molecular Sciences · doi:10.3390/ijms23031499 · Cited by 50 · see citing works
Consistent signatures in the human gut microbiome of longevous populations
Chen, S., Zhang, Z., Liu, S., Chen, T., Lu, Z., Zhao, W., Mou, X., & Liu, S. (2024) · Gut Microbes · doi:10.1080/19490976.2024.2393756 · Cited by 52 · see citing works
The metabolome as a biomarker of aging in Drosophila melanogaster
Zhao, X., Golic, F. T., Harrison, B. R., Manoj, M., Hoffman, E. V., Simon, N., Johnson, R. S., MacCoss, M. J., McIntyre, L. M., & Promislow, D. (2022) · Aging Cell · doi:10.1111/acel.13548 · Cited by 43 · see citing works
Sariaslan, A., Sharpe, M., Larsson, H., Wolf, A., Lichtenstein, P., & Fazel, S. (2022) · PLoS Medicine · doi:10.1371/journal.pmed.1003864 · Cited by 45 · see citing works
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 50 · see citing works
Mendelian randomization supports causality between overweight status and accelerated aging
Chen, Z., Chen, Z., & Jin, X. (2023) · Aging Cell · doi:10.1111/acel.13899 · Cited by 44 · see citing works
PNPLA3 Genotype and Risk of Liver and All‐Cause Mortality
Stender, S., & Loomba, R. S. (2020) · Hepatology · doi:10.1002/hep.31113 · Cited by 43 · see citing works
Yeung, C. H. C., Yeung, S. L. A., Kwok, M. K., Zhao, J. V., & Schooling, C. M. (2023) · European Journal of Epidemiology · doi:10.1007/s10654-023-01015-2 · Cited by 41 · see citing works
Gkioni, L., Nespital, T., Baghdadi, M., Monzó, C., Bali, J., Nassr, T., Cremer, A. L., Beyer, A., Deelen, J., Backes, H., et al. (2025) · Nature Aging · doi:10.1038/s43587-025-00876-4 · Cited by 41 · see citing works
Self-citationLiu, X., Song, Z., Li, Y., Yao, Y., Fang, M., Bai, C., An, P., Chen, H., Chen, Z., Tang, B., et al. (2021) · Aging Cell · doi:10.1111/acel.13323 · Cited by 41 · see citing works
Self-citationDang, Z., Avolio, E., Thomas, A. C., Faulkner, A., Beltrami, A. P., Cervellin, C., Carrizzo, A., Maciag, A. E., Gu, Y., Ciaglia, E., et al. (2020) · European Journal of Heart Failure · doi:10.1002/ejhf.1840 · Cited by 38 · see citing works
Comparative Analysis of Mammal Genomes Unveils Key Genomic Variability for Human Life Span
Farré, X., Molina-Fernández, R., Barteri, F., Timmers, P. R. H. J., Joshi, P. K., Oliva, B., Acosta, S., Esteve‐Altava, B., Navarro, A., & Muntané, G. (2021) · Molecular Biology and Evolution · doi:10.1093/molbev/msab219 · Cited by 37 · see citing works
Liu, X., Zou, L., Nie, C., Qin, Y., Tong, X., Wang, J., Yang, H., Xu, X., Jin, X., Xiao, L., et al. (2023) · Scientific Reports · doi:10.1038/s41598-023-31115-8 · Cited by 44 · see citing works
Self-citationThe Contextualized Genetics of Human Longevity
Franceschi, C., Garagnani, P., Olivieri, F., Salvioli, S., & Giuliani, C. (2020) · Journal of the American College of Cardiology · doi:10.1016/j.jacc.2019.12.032 · Cited by 37 · see citing works
Self-citationPolygenic 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 37 · see citing works
Self-citationCancer mortality in the oldest old: a global overview
Hashim, D., Carioli, G., Malvezzi, M., Bertuccio, P., Waxman, S., Negri, E., La Vecchia, C., & Boffetta, P. (2020) · Aging · doi:10.18632/aging.103503 · Cited by 36 · see citing works
Integrative analysis of clinical and epigenetic biomarkers of mortality
Huan, T., Nguyen, S., Colicino, E., Ochoa‐Rosales, C., Hill, W. D., Brody, J. A., Soerensen, M., Zhang, Y., Baldassari, A., Elhadad, M. A., et al. (2022) · Aging Cell · doi:10.1111/acel.13608 · Cited by 34 · see citing works
Self-citationPhysical activity and risk of Alzheimer disease
Baumeister, S. E., Karch, A., Bahls, M., Teumer, A., Leitzmann, M. F., & Baurecht, H. (2020) · Neurology · doi:10.1212/wnl.0000000000010013 · Cited by 35 · see citing works
Heritability of intrinsic human life span is about 50% when confounding factors are addressed
Shenhar, B., Pridham, G., Oliveira, T. L. D., Yang, Y., Raz, N., Deelen, J., Hägg, S., & Alon, U. (2026) · Science · doi:10.1126/science.adz1187 · Cited by 41 · see citing works
Self-citationLow‐density lipoprotein cholesterol and lifespan: A Mendelian randomization study
Daghlas, I., & Gill, D. (2021) · British Journal of Clinical Pharmacology · doi:10.1111/bcp.14811 · Cited by 34 · see citing works
Huang, S.-Y., Yang, Y., Chen, S., Li, H.-Q., Zhang, X.-Q., Kuo, K., Tan, L., Feng, L., Dong, Q., Zhang, C. M., et al. (2021) · BMC Medicine · doi:10.1186/s12916-021-02030-4 · Cited by 33 · see citing works
Genetic and phenotypic analysis of the causal relationship between aging and COVID-19
Ying, K., Zhai, R., Pyrkov, T. V., Shindyapina, A. V., Mariotti, M., Fedichev, P. O., Shen, X., & Gladyshev, V. N. (2021) · Communications Medicine · doi:10.1038/s43856-021-00033-z · Cited by 37 · see citing works
Genetics of human longevity: From variants to genes to pathways
Smulders, L., & Deelen, J. (2023) · Journal of Internal Medicine · doi:10.1111/joim.13740 · Cited by 32 · see citing works
Self-citationMolecular inhibition of RAS signalling to target ageing and age-related health
Laskovs, M., Partridge, L., & Slack, C. (2022) · Disease Models & Mechanisms · doi:10.1242/dmm.049627 · Cited by 31 · see citing works
Epigenetic changes during ageing and their underlying mechanisms
Braga, D. L., Mousovich-Neto, F., Tonon-da-Silva, G., Salgueiro, W., & Mori, M. (2020) · Biogerontology (Dordrecht) · doi:10.1007/s10522-020-09874-y · Cited by 23 · see citing works
Effect of longevity genetic variants on the molecular aging rate
Gurinovich, A., Song, Z., Zhang, W., Federico, A. N., Monti, S., Andersen, S. L., Jennings, L. L., Glass, D. J., Barzilai, N., Milman, S., et al. (2021) · GeroScience · doi:10.1007/s11357-021-00376-4 · Cited by 28 · see citing works
Self-citationDietary stress remodels the genetic architecture of lifespan variation in outbred Drosophila
Pallares, L. F., Lea, A. J., Han, C., Filippova, E. V., Andolfatto, P., & Ayroles, J. F. (2022) · Nature Genetics · doi:10.1038/s41588-022-01246-1 · Cited by 31 · see citing works
Genetics of frailty: A longevity perspective
Sathyan, S., & Verghese, J. (2020) · Translational research · doi:10.1016/j.trsl.2020.03.005 · Cited by 30 · see citing works
Target Discovery for Drug Development Using Mendelian Randomization
Evans, D. S. (2022) · Methods in molecular biology · doi:10.1007/978-1-0716-2573-6_1 · Cited by 30 · see citing works
Self-citationMendelian randomization evidence for the causal effect of mental well-being on healthy aging
Ye, C., Liu, D., Chen, M., Kong, L., Dou, C., Wang, Y.-Y., Xu, M., Xu, Y., Li, M., Zhao, Z., et al. (2024) · Nature Human Behaviour · doi:10.1038/s41562-024-01905-9 · Cited by 33 · see citing works
Cai, Z., Iso‐Touru, T., Sanchez, M.-P., Kadri, N. K., Bouwman, A. C., Chitneedi, P., MacLeod, I. M., Jagt, C. J. V., Chamberlain, A. J., Gredler, B., et al. (2024) · Genetics Selection Evolution · doi:10.1186/s12711-024-00920-8 · Cited by 28 · see citing works
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 · see citing works
Evolution of natural lifespan variation and molecular strategies of extended lifespan in yeast
Kaya, A., Phua, C. Z. J., Lee, M. B., Wang, L., Tyshkovskiy, A., Ma, S., Barré, B. P., Liu, W., Harrison, B. R., Zhao, X., et al. (2021) · eLife · doi:10.7554/elife.64860 · Cited by 26 · see citing works
Kalmijn, M. (2022) · Social Science & Medicine · doi:10.1016/j.socscimed.2022.114736 · Cited by 27 · see citing works
Identification of prospective aging drug targets via Mendelian randomization analysis
Mao, R., Li, J., & Xiao, W. (2024) · Aging Cell · doi:10.1111/acel.14171 · Cited by 25 · see citing works
Immune dysfunction in Alzheimer disease
Butovsky, O., Rosenzweig, N., Kleemann, K. L., Jorfi, M., Kuchroo, V. K., Tanzi, R. E., & Weiner, H. L. (2025) · Nature reviews. Neuroscience · doi:10.1038/s41583-025-00997-0 · Cited by 34 · see citing works
Fulton‐Howard, B., Goate, A., Adelson, R. P., Koppel, J. L., Gordon, M. L., Barzilai, N., Atzmon, G., Davies, P., & Freudenberg‐Hua, Y. (2020) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2020.09.014 · Cited by 25 · see citing works
Self-citationCentenarians as models of healthy aging: Example of REST
Marcos-Pérez, D., Saenz‐Antoñanzas, A., & Matheu, A. (2021) · Ageing Research Reviews · doi:10.1016/j.arr.2021.101392 · Cited by 26 · see citing works
Refining Convergent Rate Analysis with Topology in Mammalian Longevity and Marine Transitions
Treaster, S. B., Daane, J. M., & Harris, M. P. (2021) · Molecular Biology and Evolution · doi:10.1093/molbev/msab226 · Cited by 25 · see citing works
He, D., Liu, L., Zhang, Z., Yang, X., Jia, Y., Wen, Y. F., Cheng, S., Meng, P., Li, C., Zhang, H., et al. (2022) · BMC Microbiology · doi:10.1186/s12866-022-02703-x · Cited by 24 · see citing works
Convergent genomics of longevity in rockfishes highlights the genetics of human life span variation
Treaster, S. B., Deelen, J., Daane, J. M., Murabito, J. M., Karasik, D., & Harris, M. P. (2023) · Science Advances · doi:10.1126/sciadv.add2743 · Cited by 26 · see citing works
Self-citationEffect of basal metabolic rate on lifespan: a sex-specific Mendelian randomization study
Ng, J. C. M., & Schooling, C. M. (2023) · Scientific Reports · doi:10.1038/s41598-023-34410-6 · Cited by 28 · see citing works
Evolutionary Conservation of Transcription Factors Affecting Longevity
Martínez-Corrales, G., & Alic, N. (2020) · Trends in Genetics · doi:10.1016/j.tig.2020.02.003 · Cited by 22 · see citing works
A Genome-Wide Association Study of 2304 Extreme Longevity Cases Identifies Novel Longevity Variants
Bae, H. T., Gurinovich, A., Karagiannis, T. T., Song, Z., Leshchyk, A., Li, M., Andersen, S. L., Arbeev, K. G., Yashin, A. I., Zmuda, J. M., et al. (2022) · International Journal of Molecular Sciences · doi:10.3390/ijms24010116 · Cited by 24 · see citing works
Self-citationThe genetics of neurodegenerative diseases is the genetics of age-related damage clearance failure
Hardy, J., & Escott‐Price, V. (2025) · Molecular Psychiatry · doi:10.1038/s41380-025-02911-7 · Cited by 23 · see citing works
Rozanov, L. F., Ravichandran, M., Grigolon, G., Zanellati, M. C., Mansfeld, J., Zarse, K., Barzilai, N., Atzmon, G., Fischer, F., & Ristow, M. (2020) · Redox Biology · doi:10.1016/j.redox.2020.101448 · Cited by 21 · see citing works
Self-citationExome-Wide Association Study Identifies FN3KRP and PGP as New Candidate Longevity Genes
Torres, G. G., Nygaard, M., Caliebe, A., Blanché, H., Chantalat, S., Galan, P., Lieb, W., Christiansen, L., Deleuze, J., Christensen, K., et al. (2021) · The Journals of Gerontology Series A · doi:10.1093/gerona/glab023 · Cited by 23 · see citing works
Self-citationYuan, S., Baron, J. A., Michaëlsson, K., & Larsson, S. C. (2021) · npj Genomic Medicine · doi:10.1038/s41525-021-00250-4 · Cited by 24 · see citing works
New Insights into the Genetics and Epigenetics of Aging Plasticity
Zhang, J., Wang, S., & Liu, B. (2023) · Genes · doi:10.3390/genes14020329 · Cited by 23 · see citing works
Differences in Survival across Monogenic Forms of Parkinson's Disease
Lanore, A., Casse, F., Tesson, C., Courtin, T., Menon, P. J., Sambin, S., Mangone, G., Mariani, L., Lesage, S., Brice, A., et al. (2023) · Annals of Neurology · doi:10.1002/ana.26636 · Cited by 23 · see citing works
The protein inputs of an ultra-predictive aging clock represent viable anti-aging drug targets
Johnson, A. A., Shokhirev, M. N., & Lehallier, B. (2021) · Ageing Research Reviews · doi:10.1016/j.arr.2021.101404 · Cited by 22 · see citing works
Zhang, Y., Murata, S., Schmidt‐Mende, K., Ebeling, M., & Modig, K. (2024) · GeroScience · doi:10.1007/s11357-024-01330-w · Cited by 22 · see citing works
Multi-omic underpinnings of heterogeneous aging across multiple organ systems
Xiong, J., Zhu, X., Guo, Y., Tang, H., Dong, C., Wang, B., Liu, M., Li, Z., & Tu, Y. (2025) · Cell Genomics · doi:10.1016/j.xgen.2025.101032 · Cited by 24 · see citing works
Christensen, K., Wojczynski, M. K., Pedersen, J. K., Larsen, L. A., Kløjgaard, S., Skytthe, A., McGue, M. K., Vaupel, J. W., & Province, M. A. (2020) · Aging Cell · doi:10.1111/acel.13228 · Cited by 22 · see citing works
Self-citationGenetics, leadership position, and well-being: An investigation with a large-scale GWAS
Song, Z., Li, W., Jin, X., Ying, J., Zhang, X., Song, Y., Li, H., & Fan, Q. (2022) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2114271119 · Cited by 22 · see citing works
- Authors
- Deelen, J., Evans, D. S., Arking, D. E., Tesi, N., Nygaard, M., Liu, X., Wojczynski, M. K., Biggs, M. L., van der Spek, A., Atzmon, G., Ware, E. B., Sarnowski, C., Smith, A. V., Seppälä, I., Cordell, H. J., Dose, J., Amin, N., Arnold, A. M., Ayers, K. L., Barzilai, N., Becker, E. J., Beekman, M., Blanché, H., Christensen, K., Christiansen, L., Collerton, J. C., Cubaynes, S., Cummings, S. R., Davies, K., Debrabant, B., Deleuze, J.-F., Duncan, R., Faul, J. D., Franceschi, C., Galan, P., Gudnason, V., Harris, T. B., Huisman, M., Hurme, M. A., Jagger, C., Jansen, I., Jylhä, M., Kähönen, M., Karasik, D., Kardia, S. L. R., Kingston, A., Kirkwood, T. B. L., Launer, L. J., Lehtimäki, T., Lieb, W., Lyytikäinen, L.-P., Martin-Ruiz, C., Min, J., Nebel, A., Newman, A. B., Nie, C., Nohr, E. A., Orwoll, E. S., Perls, T. T., Province, M. A., Psaty, B. M., Raitakari, O. T., Reinders, M. J. T., Robine, J.-M., Rotter, J. I., Sebastiani, P., Smith, J., Sørensen, T. I. A., Taylor, K. D., Uitterlinden, A. G., van der Flier, W., van der Lee, S. J., van Duijn, C. M., van Heemst, D., Vaupel, J. W., Weir, D., Ye, K., Zeng, Y., Zheng, W., Holstege, H., Kiel, D. P., Lunetta, K. L., Slagboom, P. E., & Murabito, J. M.
- Affiliations
- Leiden University (NL)
- California Pacific Medical Center (US)
- Johns Hopkins University (US)
- University of Southern Denmark (DK)
- BGI Group (China) (CN)
- Washington University in St. Louis (US)
- University of Washington (US)
- Albert Einstein College of Medicine (US)
- University of Michigan (US)
- Boston University (US)
- Tampere University (FI)
- Centre for Life (GB)
- Christian-Albrechts-Universität zu Kiel (DE)
- Erasmus MC (NL)
- Sema4 (United States) (US)
- Fondation Jean Dausset-CEPH (FR)
- Royal Victoria Infirmary (GB)
- Inserm (FR)
- Newcastle University (GB)
- Commissariat à l'Énergie Atomique et aux Énergies Alternatives (FR)
- Istituto delle Scienze Neurologiche di Bologna (IT)
- University of Iceland (IS)
- National Institutes of Health (US)
- Amsterdam Public Health (NL)
- Amsterdam Neuroscience (NL)
- Bar-Ilan University (IL)
- Zhejiang University (CN)
- University of Pittsburgh (US)
- Oregon Health & Science University (US)
- Kaiser Permanente Washington Health Research Institute (US)
- University of Turku (FI)
- Delft University of Technology (NL)
- Centre National de la Recherche Scientifique (FR)
- The Lundquist Institute (US)
- University of Copenhagen (DK)
- University of California, Los Angeles (US)
- Max Planck Institute for Demographic Research (DE)
- Duke University (US)
- Amsterdam UMC Location University of Amsterdam (NL)
- Broad Institute (US)
- Corresponding author
- Deelen, Joris
- Evans, Daniel S.
- Slagboom, P. Eline
- Murabito, Joanne M.
- ORCID
- Deelen, Joris
- Evans, Daniel S.
- Arking, Dan E.
- Tesi, Niccolò
- Nygaard, Marianne
- Liu, Xiaomin
- Wojczynski, Mary K.
- van der Spek, Ashley
- Atzmon, Gil
- Ware, Erin B.
- Sarnowski, Chloé
- Smith, Albert V.
- Seppälä, Ilkka
- Cordell, Heather J.
- Dose, Janina
- Amin, Najaf
- Arnold, Alice M.
- Ayers, Kristin L.
- Barzilai, Nir
- Beekman, Marian
- Blanché, Hélène
- Christensen, Kaare
- Christiansen, Lene
- Cubaynes, Sarah
- Cummings, Steven R.
- Davies, Karen
- Debrabant, Birgit
- Deleuze, Jean-François
- Duncan, Rachel
- Faul, Jessica D.
- Franceschi, Claudio
- Galan, Pilar
- Gudnason, Vilmundur
- Harris, Tamara B.
- Huisman, Martijn
- Hurme, Mikko A.
- Jagger, Carol
- Jansen, Iris
- Jylhä, Marja
- Kähönen, Mika
- Karasik, David
- Kingston, Andrew
- Kirkwood, Thomas B. L.
- Launer, Lenore J.
- Lehtimäki, Terho
- Lieb, Wolfgang
- Lyytikäinen, Leo-Pekka
- Martin-Ruiz, Carmen
- Min, Junxia
- Newman, Anne B.
- Nie, Chao
- Nohr, Ellen A.
- Orwoll, Eric S.
- Perls, Thomas T.
- Province, Michael A.
- Psaty, Bruce M.
- Raitakari, Olli T.
- Reinders, Marcel J. T.
- Robine, Jean-Marie
- Rotter, Jerome I.
- Smith, Jennifer
- Sørensen, Thorkild I. A.
- Taylor, Kent D.
- Uitterlinden, André G.
- van der Lee, Sven J.
- Vaupel, James W.
- Weir, David
- Ye, Kenny
- Zheng, Wanlin
- Holstege, Henne
- Kiel, Douglas P.
- Lunetta, Kathryn L.
- Slagboom, P. Eline
- Murabito, Joanne M.
- Venue
- Nature Communications
- Published
- 2019-08-14
- Volume
- 10
- Issue
- 1
- Pages
- 3669-3669
- ISSN
- 2041-1723 (ISSN-L)
- PMC
- PMC6694136
- OpenAlex
- W2967338832
- Cited by
- 370
- References
- 61
- Citations by year
- 2026: 38 · 2025: 64 · 2024: 56 · 2023: 60 · 2022: 51 · 2021: 53 · 2020: 44 · 2019: 3 · 2018: 1
- FWCI
- 5.07
- Type
- journal article
- Language
- en
- Update notices
- correction (2021-04-23)
- Open access
- gold
- doi.org
- Locations
- Nature Communications (publishedVersion, cc-by)
- Europe PMC (PubMed Central) (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- Pure Amsterdam UMC (publishedVersion, cc-by)
- Research at the University of Copenhagen (University of Copenhagen) (publishedVersion, cc-by)
- VU Research Portal (publishedVersion, other-oa)
- HAL (submittedVersion, cc-by)
- Opin vísindi (Opin vísindi) (submittedVersion, cc-by-nc-sa)
- UTUPub (University of Turku) (submittedVersion)
- UTUPub (University of Turku) (submittedVersion, cc-by)
- Digital Commons@Becker (Washington University School of Medicine) (submittedVersion)
- EUR Research Repository (Erasmus University Rotterdam) (submittedVersion, other-oa)
- RePub (Erasmus University Rotterdam) (submittedVersion, other-oa)
- Data Archiving and Networked Services (DANS) (submittedVersion)
- RePEc: Research Papers in Economics (submittedVersion)
- Leiden Repository (Leiden University) (submittedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- eScholarship (California Digital Library) (submittedVersion)
- eScholarship (California Digital Library) (submittedVersion, cc-by)
- Opin vísindi (Opin vísindi) (submittedVersion, cc-by)
- Opin vísindi (Opin vísindi) (submittedVersion, other-oa)
- Amsterdam UMC (VU Amsterdam) - Institutional Repository (submittedVersion, other-oa)
- MPG.PuRe (Max Planck Society) (submittedVersion)
- Bristol Research (University of Bristol) (submittedVersion, cc-by)
- University of Southern Denmark Research Portal (University of Southern Denmark) (submittedVersion, cc-by)
- Tampere University Institutional Repository (Tampere University) (submittedVersion, cc-by)
- Research Repository (Delft University of Technology) (submittedVersion, cc-by)
- Data Archiving and Networked Services (DANS) (submittedVersion, other-oa)
- Newcastle University ePrints (Newcastle Univesity) (cc-by)
- Funders
- Alexander von Humboldt-Stiftung
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genetic Associations and Epidemiology
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Aging › Genetics, Aging, and Longevity in Model Organisms
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genetic and phenotypic traits in livestock
- Keywords
- human longevity, longevity genes, apolipoprotein E, APOE ε4, APOE ε2, tissue-specific gene expression, genetic correlation, heritability of longevity, genetic overlap
- MeSH terms
- Endoplasmic Reticulum Chaperone BiP, Heat-Shock Proteins, Humans, Longevity, Apolipoprotein E4, Apolipoprotein E2, Genome-Wide Association Study
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review