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Pemmasani SK, R G S, V S, Bhattacharyya R, Patel C, Gupta AK, Acharya A. Genetic variants associated with longevity in long-living Indians. NPJ AGING 2024; 10:51. [PMID: 39567526 PMCID: PMC11579347 DOI: 10.1038/s41514-024-00179-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/18/2024] [Accepted: 10/25/2024] [Indexed: 11/22/2024]
Abstract
Genetic factors play a significant role in determining an individual's longevity. The present study was aimed at identifying genetic variants associated with longevity in Indian population. Long living individuals (LLIs), aged 85+, were compared with younger controls, aged 18-49 years, using data from GenomegaDB, a genetic database of Indians living in India. An in-house developed custom chip, having variants associated with various cancers, cardiovascular, neurological, gastro-intestinal, metabolic and auto-immune disorders, was used to generate genotype data. Logistic regression analysis with sex and top three genetic principal components as covariates resulted in 9 variants to be significantly associated with longevity at a p-value threshold of 5 × 10-4. Alleles associated with slower heart rate (rs365990, MYH6), decreased risk of osteoporosis and short body height (rs2982570, ESR1), decreased risk of schizophrenia (rs1339227, RIMS1-KCNQ5) and decreased risk of anxiety and neuroticism (rs391957, HSPA5) were found to have higher frequency in LLIs. Alleles associated with increased risk of atrial fibrillation (rs3903239, GORAB-PRRX1) and biliary disorders (rs2002042, ABCC2) were found to have lower frequency. The G allele of rs2802292 from FOXO3A gene, associated with longevity in Japanese, German and French centenarians, was also found to be significant in this population (P = 0.032). Pathway enrichment analysis revealed that the genes involved in oxidative stress, apoptosis, DNA damage repair, glucose metabolism and energy metabolism were significantly involved in affecting the longevity. Results of our study demonstrate the genetic basis of healthy aging and longevity in the population.
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Affiliation(s)
| | | | - Suraj V
- Mapmygenome India Limited, Hyderabad, India
| | | | - Chetan Patel
- SRISTI - Society for Research and Initiatives for Sustainable Technologies and Institutions, Ahmedabad, India
| | - Anil Kumar Gupta
- SRISTI - Society for Research and Initiatives for Sustainable Technologies and Institutions, Ahmedabad, India
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2
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Scieszka D, Bolt AM, McCormick MA, Brigman JL, Campen MJ. Aging, longevity, and the role of environmental stressors: a focus on wildfire smoke and air quality. FRONTIERS IN TOXICOLOGY 2023; 5:1267667. [PMID: 37900096 PMCID: PMC10600394 DOI: 10.3389/ftox.2023.1267667] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/26/2023] [Accepted: 09/25/2023] [Indexed: 10/31/2023] Open
Abstract
Aging is a complex biological process involving multiple interacting mechanisms and is being increasingly linked to environmental exposures such as wildfire smoke. In this review, we detail the hallmarks of aging, emphasizing the role of telomere attrition, cellular senescence, epigenetic alterations, proteostasis, genomic instability, and mitochondrial dysfunction, while also exploring integrative hallmarks - altered intercellular communication and stem cell exhaustion. Within each hallmark of aging, our review explores how environmental disasters like wildfires, and their resultant inhaled toxicants, interact with these aging mechanisms. The intersection between aging and environmental exposures, especially high-concentration insults from wildfires, remains under-studied. Preliminary evidence, from our group and others, suggests that inhaled wildfire smoke can accelerate markers of neurological aging and reduce learning capabilities. This is likely mediated by the augmentation of circulatory factors that compromise vascular and blood-brain barrier integrity, induce chronic neuroinflammation, and promote age-associated proteinopathy-related outcomes. Moreover, wildfire smoke may induce a reduced metabolic, senescent cellular phenotype. Future interventions could potentially leverage combined anti-inflammatory and NAD + boosting compounds to counter these effects. This review underscores the critical need to study the intricate interplay between environmental factors and the biological mechanisms of aging to pave the way for effective interventions.
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Affiliation(s)
- David Scieszka
- Department of Pharmaceutical Sciences, College of Pharmacy, University of New Mexico Health Sciences Center, Albuquerque, NM, United States
| | - Alicia M. Bolt
- Department of Pharmaceutical Sciences, College of Pharmacy, University of New Mexico Health Sciences Center, Albuquerque, NM, United States
| | - Mark A. McCormick
- Department of Biochemistry and Molecular Biology, School of Medicine, University of New Mexico Health Sciences Center, Albuquerque, NM, United States
| | - Jonathan L. Brigman
- Department of Neurosciences, School of Medicine, University of New Mexico Health Sciences Center, Albuquerque, NM, United States
| | - Matthew J. Campen
- Department of Pharmaceutical Sciences, College of Pharmacy, University of New Mexico Health Sciences Center, Albuquerque, NM, United States
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3
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Kulminski AM, Jain‐Washburn E, Philipp I, He L, Loika Y, Loiko E, Bagley O, Ukraintseva S, Yashin A, Arbeev K, Stallard E, Feitosa MF, Schupf N, Christensen K, Culminskaya I. APOE ɛ4 allele and TOMM40-APOC1 variants jointly contribute to survival to older ages. Aging Cell 2022; 21:e13730. [PMID: 36330582 PMCID: PMC9741507 DOI: 10.1111/acel.13730] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/23/2022] [Revised: 09/23/2022] [Accepted: 03/10/2022] [Indexed: 11/06/2022] Open
Abstract
Age-related diseases characteristic of post-reproductive life, aging, and life span are the examples of polygenic non-Mendelian traits with intricate genetic architectures. Polygenicity of these traits implies that multiple variants can impact their risks independently or jointly as combinations of specific variants. Here, we examined chances to live to older ages, 85 years and older, for carriers of compound genotypes comprised of combinations of genotypes of rs429358 (APOE ɛ4 encoding polymorphism), rs2075650 (TOMM40), and rs12721046 (APOC1) polymorphisms using data from four human studies. The choice of these polymorphisms was motivated by our prior results showing that the ɛ4 carriers having minor alleles of the other two polymorphisms were at exceptionally high risk of Alzheimer's disease (AD), compared with non-carriers of the minor alleles. Consistent with our prior findings for AD, we show here that the adverse effect of the ɛ4 allele on survival to older ages is significantly higher in carriers of minor alleles of rs2075650 and/or rs12721046 polymorphisms compared with their non-carriers. The exclusion of AD cases made this effect stronger. Our results provide compelling evidence that AD does not mediate the associations of the same compound genotypes with chances to survive until older ages, indicating the existence of genetically heterogeneous mechanisms. The survival chances can be mainly associated with lipid- and immunity-related mechanisms, whereas the AD risk, can be driven by the AD-biomarker-related mechanism, among others. Targeting heterogeneous polygenic profiles of individuals at high risks of complex traits is promising for the translation of genetic discoveries to health care.
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Affiliation(s)
- Alexander M. Kulminski
- Biodemography of Aging Research Unit, Social Science Research InstituteDuke UniversityDurhamNorth CarolinaUSA
| | - Ethan Jain‐Washburn
- Biodemography of Aging Research Unit, Social Science Research InstituteDuke UniversityDurhamNorth CarolinaUSA
| | - Ian Philipp
- Biodemography of Aging Research Unit, Social Science Research InstituteDuke UniversityDurhamNorth CarolinaUSA
| | - Liang He
- Biodemography of Aging Research Unit, Social Science Research InstituteDuke UniversityDurhamNorth CarolinaUSA
| | - Yury Loika
- Biodemography of Aging Research Unit, Social Science Research InstituteDuke UniversityDurhamNorth CarolinaUSA
| | - Elena Loiko
- Biodemography of Aging Research Unit, Social Science Research InstituteDuke UniversityDurhamNorth CarolinaUSA
| | - Olivia Bagley
- Biodemography of Aging Research Unit, Social Science Research InstituteDuke UniversityDurhamNorth CarolinaUSA
| | - Svetlana Ukraintseva
- Biodemography of Aging Research Unit, Social Science Research InstituteDuke UniversityDurhamNorth CarolinaUSA
| | - Anatoliy Yashin
- Biodemography of Aging Research Unit, Social Science Research InstituteDuke UniversityDurhamNorth CarolinaUSA
| | - Konstantin Arbeev
- Biodemography of Aging Research Unit, Social Science Research InstituteDuke UniversityDurhamNorth CarolinaUSA
| | - Eric Stallard
- Biodemography of Aging Research Unit, Social Science Research InstituteDuke UniversityDurhamNorth CarolinaUSA
| | - Mary F. Feitosa
- Division of Statistical Genomics, Department of GeneticsWashington University School of MedicineSt LouisMissouriUSA
| | - Nicole Schupf
- Gertrude H. Sergievsky CenterColumbia University Irving Medical CenterNew YorkNew YorkUSA
| | - Kaare Christensen
- Unit of Epidemiology, Biostatistics and Biodemography, Department of Public HealthSouthern Denmark UniversityOdenseDenmark
| | - Irina Culminskaya
- Biodemography of Aging Research Unit, Social Science Research InstituteDuke UniversityDurhamNorth CarolinaUSA
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4
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Ukraintseva S, Duan M, Arbeev K, Wu D, Bagley O, Yashkin AP, Gorbunova G, Akushevich I, Kulminski A, Yashin A. Interactions Between Genes From Aging Pathways May Influence Human Lifespan and Improve Animal to Human Translation. Front Cell Dev Biol 2021; 9:692020. [PMID: 34490245 PMCID: PMC8417405 DOI: 10.3389/fcell.2021.692020] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/07/2021] [Accepted: 07/27/2021] [Indexed: 12/11/2022] Open
Abstract
A major goal of aging research is identifying genetic targets that could be used to slow or reverse aging - changes in the body and extend limits of human lifespan. However, majority of genes that showed the anti-aging and pro-survival effects in animal models were not replicated in humans, with few exceptions. Potential reasons for this lack of translation include a highly conditional character of genetic influence on lifespan, and its heterogeneity, meaning that better survival may be result of not only activity of individual genes, but also gene-environment and gene-gene interactions, among other factors. In this paper, we explored associations of genetic interactions with human lifespan. We selected candidate genes from well-known aging pathways (IGF1/FOXO growth signaling, P53/P16 apoptosis/senescence, and mTOR/SK6 autophagy and survival) that jointly decide on outcomes of cell responses to stress and damage, and so could be prone to interactions. We estimated associations of pairwise statistical epistasis between SNPs in these genes with survival to age 85+ in the Atherosclerosis Risk in Communities study, and found significant (FDR < 0.05) effects of interactions between SNPs in IGF1R, TGFBR2, and BCL2 on survival 85+. We validated these findings in the Cardiovascular Health Study sample, with P < 0.05, using survival to age 85+, and to the 90th percentile, as outcomes. Our results show that interactions between SNPs in genes from the aging pathways influence survival more significantly than individual SNPs in the same genes, which may contribute to heterogeneity of lifespan, and to lack of animal to human translation in aging research.
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Affiliation(s)
- Svetlana Ukraintseva
- Biodemography of Aging Research Unit, Duke University, Durham, NC, United States
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5
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Mengel-From J, Lindahl-Jacobsen R, Nygaard M, Soerensen M, Ørstavik KH, Hertz JM, Andersen-Ranberg K, Tan Q, Christensen K. Skewness of X-chromosome inactivation increases with age and varies across birth cohorts in elderly Danish women. Sci Rep 2021; 11:4326. [PMID: 33619309 PMCID: PMC7900237 DOI: 10.1038/s41598-021-83702-2] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/19/2020] [Accepted: 02/04/2021] [Indexed: 01/26/2023] Open
Abstract
Mosaicism in blood varies with age, and cross-sectional studies indicate that for women, skewness of X-chromosomal mosaicism increases with age. This pattern could, however, also be due to less X-inactivation in more recent birth cohorts. Skewed X-chromosome inactivation was here measured longitudinally by the HUMARA assay in 67 septuagenarian and octogenarian women assessed at 2 time points, 10 years apart, and in 10 centenarian women assessed at 2 time points, 2–7 years apart. Skewed X-chromosome inactivation was also compared in 293 age-matched septuagenarian twins born in 1917–1923 and 1931–1937, and 212 centenarians born in 1895, 1905 and 1915. The longitudinal study of septuagenarians and octogenarians revealed that 16% (95% CI 7–29%) of the women developed skewed X-inactivation over a 10-year period. In the cross-sectional across-birth cohort study, the earlier-born septuagenarian (1917–1923) and centenarian women (1895) had a higher degree of skewness than the respective recent age-matched birth cohorts, which indicates that the women in the more recent cohorts, after the age of 70, had not only changed degree of skewness with age, they had also undergone less age-related hematopoietic sub-clone expansion. This may be a result of improved living conditions and better medical treatment in the more recent birth cohorts.
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Affiliation(s)
- Jonas Mengel-From
- Epidemiology, Biostatistics and Biodemography, the Danish Twin Registry, and the Danish Aging Research Center, Department of Public Health, University of Southern Denmark, J.B. Winsløws Vej 9, 5000, Odense C, Denmark. .,Department of Clinical Genetics, Odense University Hospital, Odense, Denmark.
| | - Rune Lindahl-Jacobsen
- Epidemiology, Biostatistics and Biodemography, the Danish Twin Registry, and the Danish Aging Research Center, Department of Public Health, University of Southern Denmark, J.B. Winsløws Vej 9, 5000, Odense C, Denmark.,Interdisciplinary Centre on Population Dynamics (CPop), University of Southern Denmark, Odense, Denmark
| | - Marianne Nygaard
- Epidemiology, Biostatistics and Biodemography, the Danish Twin Registry, and the Danish Aging Research Center, Department of Public Health, University of Southern Denmark, J.B. Winsløws Vej 9, 5000, Odense C, Denmark.,Department of Clinical Genetics, Odense University Hospital, Odense, Denmark
| | - Mette Soerensen
- Epidemiology, Biostatistics and Biodemography, the Danish Twin Registry, and the Danish Aging Research Center, Department of Public Health, University of Southern Denmark, J.B. Winsløws Vej 9, 5000, Odense C, Denmark.,Department of Clinical Genetics, Odense University Hospital, Odense, Denmark.,Department of Clinical Biochemistry and Pharmacology, Odense University Hospital, Odense, Denmark
| | | | - Jens Michael Hertz
- Department of Clinical Genetics, Odense University Hospital, Odense, Denmark
| | - Karen Andersen-Ranberg
- Epidemiology, Biostatistics and Biodemography, the Danish Twin Registry, and the Danish Aging Research Center, Department of Public Health, University of Southern Denmark, J.B. Winsløws Vej 9, 5000, Odense C, Denmark.,Geriatric Research Unit, Department of Clinical Research, University of Southern Denmark, Odense, Denmark
| | - Qihua Tan
- Epidemiology, Biostatistics and Biodemography, the Danish Twin Registry, and the Danish Aging Research Center, Department of Public Health, University of Southern Denmark, J.B. Winsløws Vej 9, 5000, Odense C, Denmark.,Department of Clinical Genetics, Odense University Hospital, Odense, Denmark
| | - Kaare Christensen
- Epidemiology, Biostatistics and Biodemography, the Danish Twin Registry, and the Danish Aging Research Center, Department of Public Health, University of Southern Denmark, J.B. Winsløws Vej 9, 5000, Odense C, Denmark.,Department of Clinical Genetics, Odense University Hospital, Odense, Denmark.,Department of Clinical Biochemistry and Pharmacology, Odense University Hospital, Odense, Denmark
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6
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Kaeser SA, Lehallier B, Thinggaard M, Häsler LM, Apel A, Bergmann C, Berdnik D, Jeune B, Christensen K, Grönke S, Partridge L, Wyss-Coray T, Mengel-From J, Jucker M. A neuronal blood marker is associated with mortality in old age. ACTA ACUST UNITED AC 2021; 1:218-225. [PMID: 37118632 DOI: 10.1038/s43587-021-00028-4] [Citation(s) in RCA: 28] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/07/2020] [Accepted: 01/05/2021] [Indexed: 12/24/2022]
Abstract
Neurofilament light chain (NfL) has emerged as a promising blood biomarker for the progression of various neurological diseases. NfL is a structural protein of nerve cells, and elevated NfL levels in blood are thought to mirror damage to the nervous system. We find that plasma NfL levels increase in humans with age (n = 122; 21-107 years of age) and correlate with changes in other plasma proteins linked to neural pathways. In centenarians (n = 135), plasma NfL levels are associated with mortality equally or better than previously described multi-item scales of cognitive or physical functioning, and this observation was replicated in an independent cohort of nonagenarians (n = 180). Plasma NfL levels also increase in aging mice (n = 114; 2-30 months of age), and dietary restriction, a paradigm that extends lifespan in mice, attenuates the age-related increase in plasma NfL levels. These observations suggest a contribution of nervous system functional deterioration to late-life mortality.
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7
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Decline in biological resilience as key manifestation of aging: Potential mechanisms and role in health and longevity. Mech Ageing Dev 2020; 194:111418. [PMID: 33340523 DOI: 10.1016/j.mad.2020.111418] [Citation(s) in RCA: 48] [Impact Index Per Article: 9.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/14/2020] [Revised: 12/14/2020] [Accepted: 12/14/2020] [Indexed: 12/11/2022]
Abstract
Decline in biological resilience (ability to recover) is a key manifestation of aging that contributes to increase in vulnerability to death with age eventually limiting longevity even in people without major chronic diseases. Understanding the mechanisms of this decline is essential for developing efficient anti-aging and pro-longevity interventions. In this paper we discuss: a) mechanisms of the decline in resilience with age, and aging components that contribute to this decline, including depletion of body reserves, imperfect repair mechanisms, and slowdown of physiological processes and responses with age; b) anti-aging interventions that may improve resilience or attenuate its decline; c) biomarkers of resilience available in human and experimental studies; and d) genetic factors that could influence resilience. There are open questions about optimal anti-aging interventions that would oppose the decline in resilience along with extending longevity limits. However, the area develops quickly, and prospects are exciting.
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8
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Tan Q, Jacobsen R, Nygaard M, Soerensen M, Mengel-From J, Christiansen L, Christensen K. Cohort Differences in the Associations of Selected Candidate Genes With Risk of All-Cause Mortality at Advanced Ages. Am J Epidemiol 2020; 189:708-716. [PMID: 31971580 DOI: 10.1093/aje/kwaa007] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/26/2019] [Revised: 01/09/2020] [Accepted: 01/09/2020] [Indexed: 11/13/2022] Open
Abstract
Considerable efforts have been made to identify the genetic basis of human longevity, with only limited progress. One important drawback of current genetic studies is the limited knowledge of gene-environment interaction. Using 2 cohorts of long-lived individuals born in 1905 and 1915 in Denmark, we performed survival analysis to estimate risk of mortality for major candidate genes of aging and longevity and their cohort effects. Through statistical modeling that combines individual genetic and survival information with cohort-specific survival data, we estimated the relative risks of mortality from ages 95 to 103 years associated with genetic variants in apolipoprotein E (APOE), forkhead box class O3a, clusterin, and phosphatidylinositol binding clathrin assembly protein. Our analysis estimated a decreased risk of carrying the APOE$\varepsilon $4 allele (change in risk = -0.403, 95% confidence interval (CI): -0.831, 0.021; P = 0.040) in men of the later cohort, although the allele itself was harmful to survival across sexes (relative risk = 1.161, 95% CI: 1.027, 1.345; P = 0.026). We also estimated a cohort effect of increased risk for the minor allele of rs3851179 in phosphatidylinositol binding clathrin assembly protein with borderline significance (change in risk = 0.165, 95% CI: -0.010, 0.331; P = 0.052) in women. Our estimated significant cohort effect on APOE$\varepsilon $4 is indicative of the interplay between the gene and the changing environment that modulates survival at extreme ages.
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Trumble BC, Finch CE. THE EXPOSOME IN HUMAN EVOLUTION: FROM DUST TO DIESEL. THE QUARTERLY REVIEW OF BIOLOGY 2019; 94:333-394. [PMID: 32269391 PMCID: PMC7141577 DOI: 10.1086/706768] [Citation(s) in RCA: 29] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/03/2022]
Abstract
Global exposures to air pollution and cigarette smoke are novel in human evolutionary history and are associated with about 16 million premature deaths per year. We investigate the history of the human exposome for relationships between novel environmental toxins and genetic changes during human evolution in six phases. Phase I: With increased walking on savannas, early human ancestors inhaled crustal dust, fecal aerosols, and spores; carrion scavenging introduced new infectious pathogens. Phase II: Domestic fire exposed early Homo to novel toxins from smoke and cooking. Phases III and IV: Neolithic to preindustrial Homo sapiens incurred infectious pathogens from domestic animals and dense communities with limited sanitation. Phase V: Industrialization introduced novel toxins from fossil fuels, industrial chemicals, and tobacco at the same time infectious pathogens were diminishing. Thereby, pathogen-driven causes of mortality were replaced by chronic diseases driven by sterile inflammogens, exogenous and endogenous. Phase VI: Considers future health during global warming with increased air pollution and infections. We hypothesize that adaptation to some ancient toxins persists in genetic variations associated with inflammation and longevity.
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Affiliation(s)
- Benjamin C Trumble
- School of Human Evolution & Social Change and Center for Evolution and Medicine, Arizona State University Tempe, Arizona 85287 USA
| | - Caleb E Finch
- Leonard Davis School of Gerontology and Dornsife College, University of Southern California Los Angeles, California 90089-0191 USA
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10
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Deelen J, Evans DS, Arking DE, Tesi N, Nygaard M, Liu X, Wojczynski MK, Biggs ML, van der Spek A, Atzmon G, Ware EB, Sarnowski C, Smith AV, Seppälä I, Cordell HJ, Dose J, Amin N, Arnold AM, Ayers KL, Barzilai N, Becker EJ, Beekman M, Blanché H, Christensen K, Christiansen L, Collerton JC, Cubaynes S, Cummings SR, Davies K, Debrabant B, Deleuze JF, Duncan R, Faul JD, Franceschi C, Galan P, Gudnason V, Harris TB, Huisman M, Hurme MA, Jagger C, Jansen I, Jylhä M, Kähönen M, Karasik D, Kardia SLR, Kingston A, Kirkwood TBL, Launer LJ, Lehtimäki T, Lieb W, Lyytikäinen LP, Martin-Ruiz C, Min J, Nebel A, Newman AB, Nie C, Nohr EA, Orwoll ES, Perls TT, Province MA, Psaty BM, Raitakari OT, Reinders MJT, Robine JM, Rotter JI, Sebastiani P, Smith J, Sørensen TIA, Taylor KD, Uitterlinden AG, van der Flier W, van der Lee SJ, van Duijn CM, van Heemst D, Vaupel JW, Weir D, Ye K, Zeng Y, Zheng W, Holstege H, Kiel DP, Lunetta KL, Slagboom PE, Murabito JM. A meta-analysis of genome-wide association studies identifies multiple longevity genes. Nat Commun 2019; 10:3669. [PMID: 31413261 PMCID: PMC6694136 DOI: 10.1038/s41467-019-11558-2] [Citation(s) in RCA: 214] [Impact Index Per Article: 35.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/31/2018] [Accepted: 07/17/2019] [Indexed: 12/16/2022] Open
Abstract
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.
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Affiliation(s)
- Joris Deelen
- Max Planck Institute for Biology of Ageing, 50866, Cologne, Germany.
- Molecular Epidemiology, Department of Biomedical Data Sciences, Leiden University Medical Center, 2300 RC, Leiden, The Netherlands.
| | - Daniel S Evans
- California Pacific Medical Center Research Institute, San Francisco, CA, 94158, USA.
| | - Dan E Arking
- McKusick-Nathans Institute of Genetic Medicine, Department of Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, 21287, USA
| | - Niccolò Tesi
- Alzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, 1007 MB, Amsterdam, The Netherlands
- Department of Clinical Genetics, Amsterdam UMC, 1007 MB, Amsterdam, The Netherlands
- Delft Bioinformatics Lab, Delft University of Technology, 2600 GA, Delft, The Netherlands
| | - Marianne Nygaard
- The Danish Aging Research Center, Department of Public Health, University of Southern Denmark, 5000, Odense C, Denmark
| | - Xiaomin Liu
- BGI-Shenzhen, Shenzhen, 518083, China
- China National Genebank, BGI-Shenzhen, Shenzhen, 518120, China
| | - Mary K Wojczynski
- Division of Statistical Genomics, Department of Genetics, Washington University School of Medicine, Saint Louis, MO, 63110, USA
| | - Mary L Biggs
- Department of Biostatistics, University of Washington, Seattle, WA, 98115, USA
- Cardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle, WA, 98101, USA
| | | | - Gil Atzmon
- Department of Biology, Faculty of Natural Science, University of Haifa, Haifa, 3498838, Israel
- Departments of Medicine and Genetics, Albert Einstein College of Medicine, Bronx, NY, 10461, USA
| | - Erin B Ware
- Institute for Social Research, Survey Research Center, University of Michigan, Ann Arbor, MI, 48104, USA
| | - Chloé Sarnowski
- Department of Biostatistics, Boston University School of Public Health, Boston, MA, 02118, USA
| | - Albert V Smith
- School of Public Health, Department of Biostatistics, University of Michigan, Ann Arbor, MI, 48109, USA
- Icelandic Heart Association, 201, Kópavogur, Iceland
| | - Ilkka Seppälä
- Department of Clinical Chemistry, Fimlab Laboratories and Finnish Cardiovascular Research Center-Tampere, Faculty of Medicine and Health Technology, Tampere University, 33520, Tampere, Finland
| | - Heather J Cordell
- Institute of Genetic Medicine, Newcastle University, Newcastle upon Tyne, NE1 3BZ, UK
| | - Janina Dose
- Institute of Clinical Molecular Biology, Kiel University, 24105, Kiel, Germany
| | - Najaf Amin
- Department of Epidemiology, Erasmus MC, 3000 CA, Rotterdam, The Netherlands
| | - Alice M Arnold
- Department of Biostatistics, University of Washington, Seattle, WA, 98115, USA
| | | | - Nir Barzilai
- Departments of Medicine and Genetics, Albert Einstein College of Medicine, Bronx, NY, 10461, USA
| | | | - Marian Beekman
- Molecular Epidemiology, Department of Biomedical Data Sciences, Leiden University Medical Center, 2300 RC, Leiden, The Netherlands
| | | | - Kaare Christensen
- The Danish Aging Research Center, Department of Public Health, University of Southern Denmark, 5000, Odense C, Denmark
- Clinical Biochemistry and Pharmacology, Odense University Hospital, 5000, Odense C, Denmark
- Department of Clinical Genetics, Odense University Hospital, 5000, Odense C, Denmark
| | - Lene Christiansen
- The Danish Aging Research Center, Department of Public Health, University of Southern Denmark, 5000, Odense C, Denmark
- Department of Clinical Immunology, Copenhagen University Hospital, Rigshospitalet, 2100, Copenhagen, Denmark
| | - Joanna C Collerton
- Institute of Health & Society, Newcastle University, Newcastle upon Tyne, NE4 5PL, UK
| | - Sarah Cubaynes
- MMDN, Univ. Montpellier, EPHE, Unité Inserm 1198, PSL Research University, 34095, Montpellier, France
| | - Steven R Cummings
- California Pacific Medical Center Research Institute, San Francisco, CA, 94158, USA
| | - Karen Davies
- Institute of Neuroscience, Newcastle University, Newcastle upon Tyne, NE4 5PL, UK
| | - Birgit Debrabant
- Department of Public Health, University of Southern Denmark, 5000, Odense C, Denmark
| | - Jean-François Deleuze
- Fondation Jean Dausset-CEPH, 75010, Paris, France
- Centre National de Recherche en Génomique Humaine, CEA-Institut de Biologie François Jacob, 91000, Evry, France
| | - Rachel Duncan
- Institute of Health & Society, Newcastle University, Newcastle upon Tyne, NE4 5PL, UK
- Newcastle University Institute for Ageing, Newcastle University, Newcastle upon Tyne, NE4 5PL, UK
| | - Jessica D Faul
- Institute for Social Research, Survey Research Center, University of Michigan, Ann Arbor, MI, 48104, USA
| | - Claudio Franceschi
- Department of Applied Mathematics and Centre of Bioinformatics, Lobachevsky State University of Nizhny Novgorod, Nizhny Novgorod, 603022, Russia
- IRCCS Institute of Neurological Sciences of Bologna (ISNB), 40124, Bologna, Italy
| | - Pilar Galan
- EREN, UMR U1153 Inserm/U1125 Inra/Cnam/Paris 13, Université Paris 13, CRESS, 93017, Bobigny, France
| | - Vilmundur Gudnason
- Icelandic Heart Association, 201, Kópavogur, Iceland
- Faculty of Medicine, University of Iceland, 101, Reykjavik, Iceland
| | - Tamara B Harris
- Laboratory of Epidemiology and Population Sciences, National Institute on Aging, NIH, Bethesda, MD, 20892, USA
| | - Martijn Huisman
- Department of Epidemiology and Biostatistics, Vrije Universiteit Amsterdam, Amsterdam UMC, 1007 MB, Amsterdam, The Netherlands
- Amsterdam Public Health Research Institute, 1007 MB, Amsterdam, The Netherlands
| | - Mikko A Hurme
- Department of Microbiology and Immunology, Faculty of Medicine and Health Technology, Tampere University, 33014, Tampere, Finland
| | - Carol Jagger
- Institute of Health & Society, Newcastle University, Newcastle upon Tyne, NE4 5PL, UK
- Newcastle University Institute for Ageing, Newcastle University, Newcastle upon Tyne, NE4 5PL, UK
| | - Iris Jansen
- Alzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, 1007 MB, Amsterdam, The Netherlands
- Department of Complex Trait Genetics, Center for Neurogenomics and Cognitive Research, Vrije Universiteit Amsterdam, 1081 HV, Amsterdam, The Netherlands
| | - Marja Jylhä
- Faculty of Social Sciences (Health Sciences) and Gerontology Research Center (GEREC), Tampere University, 33104, Tampere, Finland
| | - Mika Kähönen
- Department of Clinical Physiology, Tampere University Hospital and Finnish Cardiovascular Research Center-Tampere, Faculty of Medicine and Health Technology, Tampere University, 33521, Tampere, Finland
| | - David Karasik
- Azrieli Faculty of Medicine, Bar Ilan University, Safed, 13010, Israel
- Hinda and Arthur Marcus Institute for Aging Research, Hebrew SeniorLife, Boston, MA, 02131, USA
| | - Sharon L R Kardia
- School of Public Health, Epidemiology, University of Michigan, Ann Arbor, MI, 48109, USA
| | - Andrew Kingston
- Institute of Health & Society, Newcastle University, Newcastle upon Tyne, NE4 5PL, UK
- Newcastle University Institute for Ageing, Newcastle University, Newcastle upon Tyne, NE4 5PL, UK
| | - Thomas B L Kirkwood
- Newcastle University Institute for Ageing, Newcastle University, Newcastle upon Tyne, NE4 5PL, UK
| | - Lenore J Launer
- Laboratory of Epidemiology and Population Sciences, National Institute on Aging, NIH, Bethesda, MD, 20892, USA
| | - Terho Lehtimäki
- Department of Clinical Chemistry, Fimlab Laboratories and Finnish Cardiovascular Research Center-Tampere, Faculty of Medicine and Health Technology, Tampere University, 33520, Tampere, Finland
| | - Wolfgang Lieb
- Institute of Epidemiology and Biobank PopGen, Kiel University, 24105, Kiel, Germany
| | - Leo-Pekka Lyytikäinen
- Department of Clinical Chemistry, Fimlab Laboratories and Finnish Cardiovascular Research Center-Tampere, Faculty of Medicine and Health Technology, Tampere University, 33520, Tampere, Finland
| | - Carmen Martin-Ruiz
- Institute of Neuroscience, Newcastle University, Newcastle upon Tyne, NE4 5PL, UK
| | - Junxia Min
- Institute of Translational Medicine, School of Medicine, Zhejiang University, Hangzhou, 311058, China
| | - Almut Nebel
- Institute of Clinical Molecular Biology, Kiel University, 24105, Kiel, Germany
| | - Anne B Newman
- Department of Epidemiology, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, PA, 15261, USA
| | - Chao Nie
- BGI-Shenzhen, Shenzhen, 518083, China
| | - Ellen A Nohr
- Research Unit of Gynecology and Obstetrics, Department of Clinical Research, University of Southern Denmark, 5000, Odense C, Denmark
| | - Eric S Orwoll
- Bone and Mineral Unit, Oregon Health Sciences University, Portland, OR, 97239, USA
| | - Thomas T Perls
- Department of Medicine, Geriatrics Section, Boston Medical Center, Boston University School of Medicine, Boston, MA, 02118, USA
| | - Michael A Province
- Division of Statistical Genomics, Department of Genetics, Washington University School of Medicine, Saint Louis, MO, 63110, USA
| | - Bruce M Psaty
- Cardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle, WA, 98101, USA
- Department of Epidemiology, University of Washington, Seattle, WA, 98101, USA
- Department of Health Services, University of Washington, Seattle, WA, 98101, USA
- Kaiser Permanente Washington Health Research Institute, Seattle, WA, 98101, USA
| | - Olli T Raitakari
- Department of Clinical Physiology and Nuclear Medicine, Turku University Hospital, 20521, Turku, Finland
- Research Centre of Applied and Preventive Cardiovascular Medicine, University of Turku, 20014, Turku, Finland
| | - Marcel J T Reinders
- Delft Bioinformatics Lab, Delft University of Technology, 2600 GA, Delft, The Netherlands
| | - Jean-Marie Robine
- MMDN, Univ. Montpellier, EPHE, Unité Inserm 1198, PSL Research University, 34095, Montpellier, France
- CERMES3, UMR CNRS 8211-Unité Inserm 988-EHESS-Université Paris Descartes, 94801, Paris, France
| | - Jerome I Rotter
- Institute for Translational Genomics and Population Sciences, Los Angeles Biomedical Research Institute at Harbor-UCLA Medical Center, Torrance, CA, 90502, USA
- Division of Genetic Outcomes, Department of Pediatrics, Harbor-UCLA Medical Center, Torrance, CA, 90502, USA
| | - Paola Sebastiani
- Department of Biostatistics, Boston University School of Public Health, Boston, MA, 02118, USA
| | - Jennifer Smith
- Institute for Social Research, Survey Research Center, University of Michigan, Ann Arbor, MI, 48104, USA
- School of Public Health, Epidemiology, University of Michigan, Ann Arbor, MI, 48109, USA
| | - Thorkild I A Sørensen
- Novo Nordisk Foundation Center for Basic Metabolic Research, Section of Metabolic Genetics, and Department of Public Health, Section of Epidemiology, Faculty of Health and Medical Sciences, University of Copenhagen, 2200, Copenhagen N, Denmark
- MRC Integrative Epidemiology Unit, Bristol University, BS8 2BN, Bristol, UK
| | - Kent D Taylor
- Institute for Translational Genomics and Population Sciences, Los Angeles Biomedical Research Institute at Harbor-UCLA Medical Center, Torrance, CA, 90502, USA
- Department of Pediatrics, Harbor-UCLA Medical Center, Torrance, CA, 90502, USA
| | - André G Uitterlinden
- Department of Epidemiology, Erasmus MC, 3000 CA, Rotterdam, The Netherlands
- Department of Internal Medicine, Erasmus MC, 3000 CA, Rotterdam, The Netherlands
| | - Wiesje van der Flier
- Alzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, 1007 MB, Amsterdam, The Netherlands
- Department of Epidemiology and Biostatistics, Vrije Universiteit Amsterdam, Amsterdam UMC, 1007 MB, Amsterdam, The Netherlands
| | - Sven J van der Lee
- Alzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, 1007 MB, Amsterdam, The Netherlands
- Department of Clinical Genetics, Amsterdam UMC, 1007 MB, Amsterdam, The Netherlands
| | - Cornelia M van Duijn
- Department of Epidemiology, Erasmus MC, 3000 CA, Rotterdam, The Netherlands
- Nuffield Department of Population Health, University of Oxford, Oxford, OX3 7LF, UK
| | - Diana van Heemst
- Department of Gerontology and Geriatrics, Leiden University Medical Center, 2300 RC, Leiden, The Netherlands
| | - James W Vaupel
- Max Planck Institute for Demographic Research, 18057, Rostock, Germany
| | - David Weir
- Institute for Social Research, Survey Research Center, University of Michigan, Ann Arbor, MI, 48104, USA
| | - Kenny Ye
- Department of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, NY, 10461, USA
| | - Yi Zeng
- Center for Healthy Aging and Development Studies, National School of Development and Raissun Institute for Advanced Studies, Peking University, 100871, Beijing, China
- Center for the Study of Aging and Human Development and Geriatrics Division, Medical School of Duke University, Durham, NC, 27710, USA
| | - Wanlin Zheng
- California Pacific Medical Center Research Institute, San Francisco, CA, 94158, USA
| | - Henne Holstege
- Alzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, 1007 MB, Amsterdam, The Netherlands
- Department of Clinical Genetics, Amsterdam UMC, 1007 MB, Amsterdam, The Netherlands
- Delft Bioinformatics Lab, Delft University of Technology, 2600 GA, Delft, The Netherlands
| | - Douglas P Kiel
- Hinda and Arthur Marcus Institute for Aging Research, Hebrew SeniorLife, Boston, MA, 02131, USA
- Department of Medicine, Beth Israel Deaconess Medical Center and Harvard Medical School, Boston, MA, 02215, USA
- Broad Institute of MIT & Harvard, Cambridge, MA, 02142, USA
| | - Kathryn L Lunetta
- Department of Biostatistics, Boston University School of Public Health, Boston, MA, 02118, USA
| | - P Eline Slagboom
- Molecular Epidemiology, Department of Biomedical Data Sciences, Leiden University Medical Center, 2300 RC, Leiden, The Netherlands.
| | - Joanne M Murabito
- NHLBI's and Boston University's Framingham Heart Study, Framingham, MA, 01702, USA.
- Section of General Internal Medicine, Department of Medicine, Boston University School of Medicine, Boston, MA, 02118, USA.
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11
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Kulminski AM, Loika Y, Culminskaya I, Huang J, Arbeev KG, Bagley O, Feitosa MF, Zmuda JM, Christensen K, Yashin AI, Long Life Family Study Research Group. Independent associations of TOMM40 and APOE variants with body mass index. Aging Cell 2019; 18:e12869. [PMID: 30462377 PMCID: PMC6351823 DOI: 10.1111/acel.12869] [Citation(s) in RCA: 35] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/06/2018] [Revised: 09/13/2018] [Accepted: 10/04/2018] [Indexed: 02/04/2023] Open
Abstract
The TOMM40-APOE variants are known for their strong, antagonistic associations with Alzheimer's disease and body weight. While a stronger role of the APOE than TOMM40 variants in Alzheimer's disease was suggested, comparative contribution of the TOMM40-APOE variants in the regulation of body weight remains elusive. We examined additive effects of rs2075650 and rs157580 TOMM40 variants and rs429358 and rs7412 APOE variants coding the ε2/ε3/ε4 polymorphism on body mass index (BMI) in age-aggregated and age-stratified cohort-specific and cohort-pooled analysis of 27,863 Caucasians aged 20-100 years from seven longitudinal studies. Minor alleles of rs2075650, rs429358, and rs7412 were individually associated with BMI (β = -1.29, p = 3.97 × 10-9 ; β = -1.38, p = 2.78 × 10-10 ; and β = 0.58, p = 3.04 × 10-2 , respectively). Conditional analysis with rs2075650 and rs429358 identified independent BMI-lowering associations for minor alleles (β = -0.63, p = 3.99 × 10-2 and β = -0.94, p = 2.17 × 10-3 , respectively). Polygenic mega-analysis identified additive effects of the rs2075650 and rs429358 heterozygotes (β = -1.68, p = 3.00 × 10-9 ), and the strongest BMI-lowering association for the rs2075650 heterozygous and rs429358 minor allele homozygous carriers (β = -4.11, p = 2.78 × 10-3 ). Conditional analysis with four polymorphisms identified independent BMI-lowering (rs2075650, rs157580, and rs429358) and BMI-increasing (rs7412) associations of heterozygous genotypes with BMI. Age-stratified conditional analysis revealed well-powered support for a differential and independent association of the rs429358 heterozygote with BMI in younger and older individuals, β = 0.58, 95% confidence interval (CI) = -1.18, 2.35, p = 5.18 × 10-1 for 3,068 individuals aged ≤30 years and β = -4.28, CI = -5.65, -2.92, p = 7.71 × 10-10 for 6,052 individuals aged >80 years. TOMM40 and APOE variants are independently and additively associated with BMI. The APOE ε4-coding rs429358 polymorphism is associated with BMI in older individuals but not in younger individuals.
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Affiliation(s)
- Alexander M. Kulminski
- Biodemography of Aging Research Unit, Social Science Research InstituteDuke UniversityDurhamNorth California
| | - Yury Loika
- Biodemography of Aging Research Unit, Social Science Research InstituteDuke UniversityDurhamNorth California
| | - Irina Culminskaya
- Biodemography of Aging Research Unit, Social Science Research InstituteDuke UniversityDurhamNorth California
| | - Jian Huang
- Biodemography of Aging Research Unit, Social Science Research InstituteDuke UniversityDurhamNorth California
| | - Konstantin G. Arbeev
- Biodemography of Aging Research Unit, Social Science Research InstituteDuke UniversityDurhamNorth California
| | - Olivia Bagley
- Biodemography of Aging Research Unit, Social Science Research InstituteDuke UniversityDurhamNorth California
| | - Mary F. Feitosa
- Division of Statistical Genomics, Department of GeneticsWashington University School of MedicineSt LouisMissouri
| | - Joseph M. Zmuda
- Department of Epidemiology, Graduate School of Public HealthUniversity of PittsburghPittsburghPennsylvania
| | - Kaare Christensen
- The Danish Aging Research CenterUniversity of Southern DenmarkOdense CDenmark
| | - Anatoliy I. Yashin
- Biodemography of Aging Research Unit, Social Science Research InstituteDuke UniversityDurhamNorth California
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12
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Abstract
All people want to age "successfully," maintaining functional capacity and quality of life as they reach advanced age. Achieving this goal depends on preserving optimal cognitive and brain functioning. Yet, significant individual differences exist in this regard. Some older adults continue to retain most cognitive abilities throughout their lifetime. Others experience declines in cognitive and functional capacity that range from mild decrements in certain cognitive functions over time to severe dementia among those with neurodegenerative diseases. Even among relatively healthy "successful agers," certain cognitive functions are reduced from earlier levels. This is particularly true for cognitive functions that are dependent on cognitive processing speed and efficiency. Working memory and executive and attentional functions tend to be most vulnerable. Learning and memory functions are also usually reduced, although in the absence of neurodegenerative disease learning and retrieval efficiency rather than memory storage are affected. Other functions, such as visual perception, language, semantics, and knowledge, are often well preserved. Structural, functional, and physiologic/metabolic brain changes correspond with age-associated cognitive decline. Physiologic and metabolic mechanisms, such as oxidative stress and neuroinflammation, may contribute to these changes, along with the contribution of comorbidities that secondarily affect the brain of older adults. Cognitive frailty often corresponds with physical frailty, both affected by multiple exogenous and endogenous factors. Neuropsychologic assessment provides a way of measuring the cognitive and functional status of older adults, which is useful for monitoring changes that may be occurring. Neuroimaging is also useful for characterizing age-associated structural, functional, physiologic, and metabolic brain changes, including alterations in cerebral blood flow and metabolite concentrations. Some interventions that may enhance cognitive function, such as cognitive training, neuromodulation, and pharmacologic approaches, exist or are being developed. Yet, preventing, slowing, and reversing the adverse effects of cognitive aging remains a challenge.
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Affiliation(s)
- Ronald A Cohen
- Center for Cognitive Aging and Memory, McKnight Brain Institute, University of Florida, Gainesville, FL, United States; Department of Clinical and Health Psychology, University of Florida, Gainesville, FL, United States.
| | - Michael M Marsiske
- Center for Cognitive Aging and Memory, McKnight Brain Institute, University of Florida, Gainesville, FL, United States; Department of Clinical and Health Psychology, University of Florida, Gainesville, FL, United States
| | - Glenn E Smith
- Center for Cognitive Aging and Memory, McKnight Brain Institute, University of Florida, Gainesville, FL, United States; Department of Clinical and Health Psychology, University of Florida, Gainesville, FL, United States
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13
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Sebastiani P, Gurinovich A, Nygaard M, Sasaki T, Sweigart B, Bae H, Andersen SL, Villa F, Atzmon G, Christensen K, Arai Y, Barzilai N, Puca A, Christiansen L, Hirose N, Perls TT. APOE Alleles and Extreme Human Longevity. J Gerontol A Biol Sci Med Sci 2019; 74:44-51. [PMID: 30060062 PMCID: PMC6298189 DOI: 10.1093/gerona/gly174] [Citation(s) in RCA: 102] [Impact Index Per Article: 17.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/12/2018] [Indexed: 12/11/2022] Open
Abstract
We assembled a collection of 28,297 participants from seven studies of longevity and healthy aging comprising New England Centenarian, Long Life Family, Longevity Gene Population, Southern Italian Centenarian, Japanese Centenarian, the Danish Longevity, and the Health and Retirement Studies to investigate the association between the APOE alleles ε2ε3 and ε4 and extreme human longevity and age at death. By using three different genetic models and two definitions of extreme longevity based on either a threshold model or age at death, we show that ε4 is associated with a substantially decreased odds for extreme longevity, and increased risk for death that persists even beyond ages reached by less than 1% of the population. We also show that carrying the ε2ε2 or ε2ε3 genotype is associated with significantly increased odds to reach extreme longevity, with decreased risk for death compared with carrying the genotype ε3ε3 but with only a modest reduction in risk for death beyond an age reached by less than 1% of the population.
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Affiliation(s)
- Paola Sebastiani
- Department of Biostatistics, Boston University School of Public Health, Boston, Massachusetts
| | - Anastasia Gurinovich
- Department of Biostatistics, Boston University School of Public Health, Boston, Massachusetts
- Bioinformatics Program, Boston University, Massachusetts
| | - Marianne Nygaard
- The Danish Aging Research Center and The Danish Twin Registry, Epidemiology, Biostatistics and Biodemography, Department of Public Health, University of Southern Denmark, Odense, Denmark
| | - Takashi Sasaki
- Center for Supercentenarian Research, Keio University, Tokyo, Japan
| | - Benjamin Sweigart
- Department of Biostatistics, Boston University School of Public Health, Boston, Massachusetts
| | - Harold Bae
- College of Public Health and Human Sciences, Oregon State University, Corvallis, Oregon
| | - Stacy L Andersen
- Geriatric Section, Department of Medicine, Boston University School of Medicine and Boston Medical Center, Boston, Massachusetts
| | - Francesco Villa
- Cardiovascular Research Unit, IRCCS MultiMedica, Milan, Italy
| | - Gil Atzmon
- Faculty of Natural Science, University of Haifa, Israel
- Department of Medicine and Genetics, Albert Einstein College of Medicine, Bronx, New York
| | - Kaare Christensen
- The Danish Aging Research Center and The Danish Twin Registry, Epidemiology, Biostatistics and Biodemography, Department of Public Health, University of Southern Denmark, Odense, Denmark
| | - Yasumichi Arai
- Center for Supercentenarian Research, Keio University, Tokyo, Japan
| | - Nir Barzilai
- Department of Medicine and Genetics, Albert Einstein College of Medicine, Bronx, New York
| | - Annibale Puca
- Cardiovascular Research Unit, IRCCS MultiMedica, Milan, Italy
- Department of Medicine and Surgery, University of Salerno, Baronissi, Italy
| | - Lene Christiansen
- The Danish Aging Research Center and The Danish Twin Registry, Epidemiology, Biostatistics and Biodemography, Department of Public Health, University of Southern Denmark, Odense, Denmark
| | - Nobuyoshi Hirose
- Center for Supercentenarian Research, Keio University, Tokyo, Japan
| | - Thomas T Perls
- Geriatric Section, Department of Medicine, Boston University School of Medicine and Boston Medical Center, Boston, Massachusetts
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14
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Rasmussen SH, Andersen-Ranberg K, Thinggaard M, Jeune B, Skytthe A, Christiansen L, Vaupel JW, McGue M, Christensen K. Cohort Profile: The 1895, 1905, 1910 and 1915 Danish Birth Cohort Studies - secular trends in the health and functioning of the very old. Int J Epidemiol 2018; 46:1746-1746j. [PMID: 28449061 DOI: 10.1093/ije/dyx053] [Citation(s) in RCA: 27] [Impact Index Per Article: 3.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 03/20/2017] [Indexed: 01/31/2023] Open
Affiliation(s)
- Signe Høi Rasmussen
- Danish Aging Research Center, University of Southern Denmark, Odense, Denmark.,Department of Geriatrics, Odense University Hospital, Odense, Denmark
| | - Karen Andersen-Ranberg
- Danish Aging Research Center, University of Southern Denmark, Odense, Denmark.,Department of Geriatrics, Odense University Hospital, Odense, Denmark
| | - Mikael Thinggaard
- Danish Aging Research Center, University of Southern Denmark, Odense, Denmark.,Max-Planck Odense Center on the Biodemography of Aging, University of Southern Denmark, Odense, Denmark
| | - Bernard Jeune
- Danish Aging Research Center, University of Southern Denmark, Odense, Denmark
| | - Axel Skytthe
- Danish Aging Research Center, University of Southern Denmark, Odense, Denmark
| | - Lene Christiansen
- Danish Aging Research Center, University of Southern Denmark, Odense, Denmark
| | - James W Vaupel
- Danish Aging Research Center, University of Southern Denmark, Odense, Denmark.,Max-Planck Institute for Demographic Research, Rostock, Germany.,Max-Planck Odense Center on the Biodemography of Aging, University of Southern Denmark, Odense, Denmark
| | - Matt McGue
- Danish Aging Research Center, University of Southern Denmark, Odense, Denmark.,Department of Psychology, University of Minnesota, Minneapolis, MN, USA
| | - Kaare Christensen
- Danish Aging Research Center, University of Southern Denmark, Odense, Denmark.,Max-Planck Odense Center on the Biodemography of Aging, University of Southern Denmark, Odense, Denmark.,Department of Clinical Genetics.,Department of Clinical Biochemistry and Pharmacology, Odense University Hospital, Odense, Denmark
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15
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Abstract
Longer human lives have led to a global burden of late-life disease. However, some older people experience little ill health, a trait that should be extended to the general population. Interventions into lifestyle, including increased exercise and reduction in food intake and obesity, can help to maintain healthspan. Altered gut microbiota, removal of senescent cells, blood factors obtained from young individuals and drugs can all improve late-life health in animals. Application to humans will require better biomarkers of disease risk and responses to interventions, closer alignment of work in animals and humans, and increased use of electronic health records, biobank resources and cohort studies.
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16
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Rajan KB, Barnes LL, Wilson RS, McAninch EA, Weuve J, Sighoko D, Evans DA. Racial Differences in the Association Between Apolipoprotein E Risk Alleles and Overall and Total Cardiovascular Mortality Over 18 Years. J Am Geriatr Soc 2017; 65:2425-2430. [PMID: 28898389 PMCID: PMC6201232 DOI: 10.1111/jgs.15059] [Citation(s) in RCA: 43] [Impact Index Per Article: 5.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/08/2023]
Abstract
OBJECTIVES To examine the difference in the association between apolipoprotein (APO)E allele and overall and cardiovascular mortality between African Americans (AAs) and European Americans (EAs). DESIGN Longitudinal, cohort study of 18 years. SETTING Biracial urban US population sample. PARTICIPANTS 4,917, 68% AA and 32% EA. MEASUREMENTS APOE genotype and mortality based on National Death Index. RESULTS A higher proportion of AAs than of EAs had an APOE ε2 allele (ε2ε2/ε2ε3/ε2ε4; 22% vs 13%) and an APOE ε4 allele (ε3ε4/ε4ε4; 33% vs 24%). After adjusting for known risk factors, the risk of mortality was 19% less with the APOE ε2 allele (hazard ratio (HR) = 0.81, 95% confidence interval (CI) = 0.76-0.87), and the risk of cardiovascular mortality was 35% less (HR = 0.65, 95% CI = 0.58-0.76) than with the ε3ε3 allele. The risk of mortality was 10% greater with the APOE ε4 allele (HR = 1.10, 95% CI = 1.04-1.16), and the risk of cardiovascular mortality was 20% greater (HR = 1.20, 95% CI = 1.07-1.29) than with the ε3ε3 allele. No difference in the association between APOE allele and mortality was observed between AAs and EAs. CONCLUSION The APOE ε4 allele increased the risk of overall and cardiovascular mortality, whereas the APOE ε2 allele decreased the risk of overall and cardiovascular mortality. There was no racial difference in the association between these alleles and mortality.
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Affiliation(s)
- Kumar B. Rajan
- Rush Institute for Healthy Aging; Rush University Medical Center, Chicago, Illinois
| | - Lisa L. Barnes
- Rush Alzheimer’s Disease Center; Rush University Medical Center, Chicago, Illinois
- Department of Neurological Sciences; Rush University Medical Center, Chicago, Illinois
| | - Robert S. Wilson
- Rush Alzheimer’s Disease Center; Rush University Medical Center, Chicago, Illinois
- Department of Neurological Sciences; Rush University Medical Center, Chicago, Illinois
| | | | - Jennifer Weuve
- Department of Epidemiology, Boston University, Boston, Massachusetts
| | - Dominique Sighoko
- Breast Cancer Task Force, Rush University Medical Center, Chicago, Illinois
| | - Denis A. Evans
- Rush Institute for Healthy Aging; Rush University Medical Center, Chicago, Illinois
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17
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Perls TT. Male Centenarians: How and Why Are They Different from Their Female Counterparts? J Am Geriatr Soc 2017; 65:1904-1906. [PMID: 28586117 DOI: 10.1111/jgs.14978] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/31/2022]
Affiliation(s)
- Thomas T Perls
- Geriatrics Section, Department of Medicine, Boston Medical Center, School of Medicine, Boston University, Boston, MA
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18
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Qian Z, Ren L, Wu D, Yang X, Zhou Z, Nie Q, Jiang G, Xue S, Weng W, Qiu Y, Lin Y. Overexpression of FoxO3a is associated with glioblastoma progression and predicts poor patient prognosis. Int J Cancer 2017; 140:2792-2804. [PMID: 28295288 DOI: 10.1002/ijc.30690] [Citation(s) in RCA: 65] [Impact Index Per Article: 8.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/19/2016] [Revised: 02/09/2017] [Accepted: 03/01/2017] [Indexed: 12/28/2022]
Abstract
Forkhead transcription factor FoxO3a has been reported to have ambiguous functions and distinct mechanisms in various solid tumors, including glioblastoma (GBM). Although a preliminary analysis of a small sample of patients indicated that FoxO3a aberrations in glioma might be related to aggressive clinical behavior, the clinical significance of FoxO3a in glioblastoma remains unclear. We investigated the expression of FoxO3a in a cohort of 91 glioblastoma specimens and analyzed the correlations of protein expression with patient prognosis. Furthermore, the functional impact of FoxO3a on GBM progression and the underlying mechanisms of FoxO3a regulation were explored in a series of in vitro and in vivo assays. FoxO3a expression was elevated in glioblastoma tissues, and high nuclear FoxO3a expression in human GBM tissues was associated with poor prognosis. Moreover, knockdown of FoxO3a significantly reduced the colony formation and invasion ability of GBM cells, whereas overexpression of FoxO3a promoted the colony formation and invasion ability. The results of in vivo GBM models further confirmed that FoxO3a knockdown inhibited GBM progression. More, the pro-oncogenic effects of FoxO3a in GBM were mediated by the activation of c-Myc, microtubule-associated protein 1 light chain 3 beta (LC3B) and Beclin1 in a mixed-lineage leukemia 2 (MLL2)-dependent manner. These findings suggest that high FoxO3a expression is associated with glioblastoma progression and that FoxO3a independently indicates poor prognosis in patients. FoxO3a might be a novel prognostic biomarker or a potential therapeutic target in glioblastoma.
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Affiliation(s)
- Zhongrun Qian
- Department of Neurosurgery, Ren Ji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
| | - Li Ren
- Department of Neurosurgery, Shanghai Pudong Hospital, Fudan University, Shanghai, China
| | - Dingchang Wu
- Department of Clinical Laboratory, Longyan First Hospital, Fujian Medical University, Longyan, China
| | - Xi Yang
- Department of Neurosurgery, Ren Ji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
| | - Zhiyi Zhou
- Department of Neurosurgery, Ren Ji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
| | - Quanmin Nie
- Department of Neurosurgery, Ren Ji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
| | - Gan Jiang
- Department of Pharmacology, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
| | - Shuanglin Xue
- Department of Neurosurgery, Longyan First Hospital, Fujian Medical University, Longyan, China
| | - Weiji Weng
- Department of Neurosurgery, Ren Ji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
| | - Yongming Qiu
- Department of Neurosurgery, Ren Ji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
| | - Yingying Lin
- Department of Neurosurgery, Ren Ji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
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19
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Lin R, Zhang Y, Yan D, Liao X, Wang X, Fu Y, Cai W. Genetic Association Analysis of Common Variants in FOXO3 Related to Longevity in a Chinese Population. PLoS One 2016; 11:e0167918. [PMID: 27936216 PMCID: PMC5148017 DOI: 10.1371/journal.pone.0167918] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/03/2016] [Accepted: 11/22/2016] [Indexed: 12/14/2022] Open
Abstract
Recent studies suggested that forkhead box class O3 (FOXO3) functions as a key regulator for the insulin/insulin-like growth factor-1signaling pathway that influence aging and longevity. This study aimed to comprehensively elucidate the association of common genetic variants in FOXO3 with human longevity in a Chinese population. Eighteen single-nucleotide polymorphisms (SNPs) in FOXO3 were successfully genotyped in 616 unrelated long-lived individuals and 846 younger controls. No nominally significant effects were found. However, when stratifying by gender, four SNPs (rs10499051, rs7762395, rs4946933 and rs3800230) previously reported to be associated with longevity and one novel SNP (rs4945815) showed significant association with male longevity (P-values: 0.007–0.032), but all SNPs were not associated with female longevity. Correspondingly, males carrying the G-G-T-G haplotype of rs10499051, rs7762395, rs4945815 and rs3800230 tended to have longer lifespan than those carrying the most common haplotype A-G-C-T (odds ratio = 2.36, 95% confidence interval = 1.20–4.63, P = 0.013). However, none of the associated SNPs and haplotype remained significant after Bonferroni correction. In conclusion, our findings revealed that the FOXO3 variants we tested in our population of Chinese men and women were associated with longevity in men only. None of these associations passed Bonferroni correction. Bonferroni correction is very stringent for association studies. We therefore believe the effects of these nominally significant variants on human longevity will be confirmed by future studies.
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Affiliation(s)
- Rong Lin
- Department of Biology, Hainan Medical College, Haikou, Hainan, China
- * E-mail: (RL); (WC)
| | - Yunxia Zhang
- Department of Biochemistry and Molecular Biology, Hainan Medical College, Haikou, Hainan, China
| | - Dongjing Yan
- Department of Biochemistry and Molecular Biology, Hainan Medical College, Haikou, Hainan, China
| | - Xiaoping Liao
- Department of Neurology, the First Affiliated Hospital of Hainan Medical College, Haikou, Hainan, China
| | - Xianshou Wang
- Specialized Biotechnologies Lab, Hainan Medical College, Haikou, Hainan, China
| | - Yunxin Fu
- Division of Biostatistics and Human Genetics Center, The University of Texas Health Science Center at Houston, Houston, Texas, United States of America
- Laboratory for Conservation and Utilization of Bio-Resources, Yunnan University, Kunming, Yunnan, China
| | - Wangwei Cai
- Department of Biochemistry and Molecular Biology, Hainan Medical College, Haikou, Hainan, China
- * E-mail: (RL); (WC)
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20
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Kulminski AM, He L, Culminskaya I, Loika Y, Kernogitski Y, Arbeev KG, Loiko E, Arbeeva L, Bagley O, Duan M, Yashkin A, Fang F, Kovtun M, Ukraintseva SV, Wu D, Yashin AI. Pleiotropic Associations of Allelic Variants in a 2q22 Region with Risks of Major Human Diseases and Mortality. PLoS Genet 2016; 12:e1006314. [PMID: 27832070 PMCID: PMC5104356 DOI: 10.1371/journal.pgen.1006314] [Citation(s) in RCA: 25] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/01/2016] [Accepted: 08/22/2016] [Indexed: 11/21/2022] Open
Abstract
Gaining insights into genetic predisposition to age-related diseases and lifespan is a challenging task complicated by the elusive role of evolution in these phenotypes. To gain more insights, we combined methods of genome-wide and candidate-gene studies. Genome-wide scan in the Atherosclerosis Risk in Communities (ARIC) Study (N = 9,573) was used to pre-select promising loci. Candidate-gene methods were used to comprehensively analyze associations of novel uncommon variants in Caucasians (minor allele frequency~2.5%) located in band 2q22.3 with risks of coronary heart disease (CHD), heart failure (HF), stroke, diabetes, cancer, neurodegenerative diseases (ND), and mortality in the ARIC study, the Framingham Heart Study (N = 4,434), and the Health and Retirement Study (N = 9,676). We leveraged the analyses of pleiotropy, age-related heterogeneity, and causal inferences. Meta-analysis of the results from these comprehensive analyses shows that the minor allele increases risks of death by about 50% (p = 4.6×10−9), CHD by 35% (p = 8.9×10−6), HF by 55% (p = 9.7×10−5), stroke by 25% (p = 4.0×10−2), and ND by 100% (p = 1.3×10−3). This allele also significantly influences each of two diseases, diabetes and cancer, in antagonistic fashion in different populations. Combined significance of the pleiotropic effects was p = 6.6×10−21. Causal mediation analyses show that endophenotypes explained only small fractions of these effects. This locus harbors an evolutionary conserved gene-desert region with non-coding intergenic sequences likely involved in regulation of protein-coding flanking genes ZEB2 and ACVR2A. This region is intensively studied for mutations causing severe developmental/genetic disorders. Our analyses indicate a promising target region for interventions aimed to reduce risks of many major human diseases and mortality. Biomedical research and medical care are traditionally focused on individual health conditions in order to postpone, ameliorate, or prevent the accumulation of morbidities in late life. An attractive idea is to find factors, which could reduce burden of not just one disease but a major subset of them to efficiently extend healthy lifespan. Here we focus on the analyses of genetic predisposition to risks of major human age-related diseases and mortality. The analyses highlight a locus in band 2q22.3 associated with risks of coronary heart disease, heart failure, stroke, diabetes, cancer, neurodegenerative diseases, and death. Our analyses indicate a promising target region for interventions aimed to reduce risks of many major human diseases and mortality.
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Affiliation(s)
- Alexander M. Kulminski
- Biodemography of Aging Research Unit, Social Science Research Institute, Duke University, Durham, NC United States of America
- * E-mail:
| | - Liang He
- Biodemography of Aging Research Unit, Social Science Research Institute, Duke University, Durham, NC United States of America
| | - Irina Culminskaya
- Biodemography of Aging Research Unit, Social Science Research Institute, Duke University, Durham, NC United States of America
| | - Yury Loika
- Biodemography of Aging Research Unit, Social Science Research Institute, Duke University, Durham, NC United States of America
| | - Yelena Kernogitski
- Biodemography of Aging Research Unit, Social Science Research Institute, Duke University, Durham, NC United States of America
| | - Konstantin G. Arbeev
- Biodemography of Aging Research Unit, Social Science Research Institute, Duke University, Durham, NC United States of America
| | - Elena Loiko
- Biodemography of Aging Research Unit, Social Science Research Institute, Duke University, Durham, NC United States of America
| | - Liubov Arbeeva
- Biodemography of Aging Research Unit, Social Science Research Institute, Duke University, Durham, NC United States of America
| | - Olivia Bagley
- Biodemography of Aging Research Unit, Social Science Research Institute, Duke University, Durham, NC United States of America
| | - Matt Duan
- Biodemography of Aging Research Unit, Social Science Research Institute, Duke University, Durham, NC United States of America
| | - Arseniy Yashkin
- Biodemography of Aging Research Unit, Social Science Research Institute, Duke University, Durham, NC United States of America
| | - Fang Fang
- Biodemography of Aging Research Unit, Social Science Research Institute, Duke University, Durham, NC United States of America
| | - Mikhail Kovtun
- Biodemography of Aging Research Unit, Social Science Research Institute, Duke University, Durham, NC United States of America
| | - Svetlana V. Ukraintseva
- Biodemography of Aging Research Unit, Social Science Research Institute, Duke University, Durham, NC United States of America
| | - Deqing Wu
- Biodemography of Aging Research Unit, Social Science Research Institute, Duke University, Durham, NC United States of America
| | - Anatoliy I. Yashin
- Biodemography of Aging Research Unit, Social Science Research Institute, Duke University, Durham, NC United States of America
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21
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Li N, Luo H, Liu X, Ma S, Lin H, Chen R, Hao F, Zhang D. Association study of polymorphisms in FOXO3, AKT1 and IGF-2R genes with human longevity in a Han Chinese population. Oncotarget 2016; 7:23-32. [PMID: 26683100 PMCID: PMC4807980 DOI: 10.18632/oncotarget.6627] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/01/2015] [Accepted: 11/23/2015] [Indexed: 01/07/2023] Open
Abstract
FOXO3, AKT1 and IGF-2R are critical members of the insulin/IGF-1 signaling pathway. Previous studies showed that polymorphisms (SNPs) in FOXO3, AKT1 and IGF-2R were associated with human longevity in Caucasian population. However, the association of these SNPs in different ethnic groups is often inconsistent. Here, we investigated the association of genetic variants in three genes with human longevity in Han Chinese population. Twelve SNPs from FOXO3, AKT1 and IGF-2R were selected and genotyped in 1202 long-lived individuals (nonagenarians and centenarians) and younger individuals. Rs9486902 of FOXO3 was found to be associated with human longevity in both genders combined in this study (allelic P = 0.002, corrected P = 0.024). The other eleven SNPs were not significantly associated with human longevity in Han Chinese population. The haplotypes TTCTT, CCTTC and CTCCT of FOXO3 as well as GGTCGG and GGTCAG of AKT1 were shown to have a significant difference between case and control (P =0.006, 2.78×10-5, 4.68×10-6, 0.003,0.005, respectively). The estimated prevalence of diabetes and prediabetes in long-lived individuals was significantly lower than in common adult populations (P = 0.001, 2.3×10-26) .Therefore, the search for longevity-associated genes provides the identification of new potential targets beneficial for the treatment of diabetes.
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Affiliation(s)
- Ning Li
- Sichuan Provincial Key Laboratory for Human Disease Gene Study, the Institute of Laboratory Medicine, Sichuan Academy of Medical Sciences and Sichuan Provincial People's Hospital, Chengdu, Sichuan, China.,Department of Immunology, Zunyi Medical College, Zunyi, Guizhou, China.,Sichuan Translational Medicine Hospital, Chinese Academy of Sciences, Chengdu, Sichuan, China
| | - Huaichao Luo
- Sichuan Provincial Key Laboratory for Human Disease Gene Study, the Institute of Laboratory Medicine, Sichuan Academy of Medical Sciences and Sichuan Provincial People's Hospital, Chengdu, Sichuan, China.,Sichuan Translational Medicine Hospital, Chinese Academy of Sciences, Chengdu, Sichuan, China
| | - Xiaoqi Liu
- Sichuan Provincial Key Laboratory for Human Disease Gene Study, the Institute of Laboratory Medicine, Sichuan Academy of Medical Sciences and Sichuan Provincial People's Hospital, Chengdu, Sichuan, China.,Sichuan Translational Medicine Hospital, Chinese Academy of Sciences, Chengdu, Sichuan, China
| | - Shi Ma
- Sichuan Provincial Key Laboratory for Human Disease Gene Study, the Institute of Laboratory Medicine, Sichuan Academy of Medical Sciences and Sichuan Provincial People's Hospital, Chengdu, Sichuan, China.,Sichuan Translational Medicine Hospital, Chinese Academy of Sciences, Chengdu, Sichuan, China
| | - He Lin
- Sichuan Provincial Key Laboratory for Human Disease Gene Study, the Institute of Laboratory Medicine, Sichuan Academy of Medical Sciences and Sichuan Provincial People's Hospital, Chengdu, Sichuan, China.,Sichuan Translational Medicine Hospital, Chinese Academy of Sciences, Chengdu, Sichuan, China
| | - Rong Chen
- Sichuan Provincial Key Laboratory for Human Disease Gene Study, the Institute of Laboratory Medicine, Sichuan Academy of Medical Sciences and Sichuan Provincial People's Hospital, Chengdu, Sichuan, China.,Sichuan Translational Medicine Hospital, Chinese Academy of Sciences, Chengdu, Sichuan, China
| | - Fang Hao
- Sichuan Provincial Key Laboratory for Human Disease Gene Study, the Institute of Laboratory Medicine, Sichuan Academy of Medical Sciences and Sichuan Provincial People's Hospital, Chengdu, Sichuan, China.,Sichuan Translational Medicine Hospital, Chinese Academy of Sciences, Chengdu, Sichuan, China
| | - Dingding Zhang
- Sichuan Provincial Key Laboratory for Human Disease Gene Study, the Institute of Laboratory Medicine, Sichuan Academy of Medical Sciences and Sichuan Provincial People's Hospital, Chengdu, Sichuan, China.,Department of Health Management, Sichuan Academy of Medical Sciences and Sichuan Provincial People's Hospital, Chengdu, Sichuan, China
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22
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Explicating heterogeneity of complex traits has strong potential for improving GWAS efficiency. Sci Rep 2016; 6:35390. [PMID: 27739495 PMCID: PMC5064392 DOI: 10.1038/srep35390] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/11/2016] [Accepted: 09/28/2016] [Indexed: 12/11/2022] Open
Abstract
Common strategy of genome-wide association studies (GWAS) relying on large samples faces difficulties, which raise concerns that GWAS have exhausted their potential, particularly for complex traits. Here, we examine the efficiency of the traditional sample-size-centered strategy in GWAS of these traits, and its potential for improvement. The paper focuses on the results of the four largest GWAS meta-analyses of body mass index (BMI) and lipids. We show that just increasing sample size may not make p-values of genetic effects in large (N > 100,000) samples smaller but can make them larger. The efficiency of these GWAS, defined as ratio of the log-transformed p-value to the sample size, in larger samples was larger than in smaller samples for a small fraction of loci. These results emphasize the important role of heterogeneity in genetic associations with complex traits such as BMI and lipids. They highlight the substantial potential for improving GWAS by explicating this role (affecting 11–79% of loci in the selected GWAS), especially the effects of biodemographic processes, which are heavily underexplored in current GWAS and which are important sources of heterogeneity in the various study populations. Further progress in this direction is crucial for efficient use of genetic discoveries in health care.
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23
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Santos-Lozano A, Santamarina A, Pareja-Galeano H, Sanchis-Gomar F, Fiuza-Luces C, Cristi-Montero C, Bernal-Pino A, Lucia A, Garatachea N. The genetics of exceptional longevity: Insights from centenarians. Maturitas 2016; 90:49-57. [PMID: 27282794 DOI: 10.1016/j.maturitas.2016.05.006] [Citation(s) in RCA: 23] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/25/2016] [Revised: 05/03/2016] [Accepted: 05/09/2016] [Indexed: 01/07/2023]
Abstract
As the world population ages, so the prevalence increases of individuals aged 100 years or more, known as centenarians. Reaching this age has been described as exceptional longevity (EL) and is attributed to both genetic and environmental factors. Many genetic variations known to affect life expectancy exist in centenarians. This review of studies conducted on centenarians and supercentenarians (older than 110 years) updates knowledge of the impacts on longevity of the twenty most widely investigated single nucleotide polymorphisms (SNPs).
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Affiliation(s)
- Alejandro Santos-Lozano
- Research Institute of Hospital 12 de Octubre ('i+12'), Madrid, Spain; GIDFYS, Department of Health Sciences, European University Miguel de Cervantes, Valladolid, Spain
| | | | - Helios Pareja-Galeano
- Research Institute of Hospital 12 de Octubre ('i+12'), Madrid, Spain; European University of Madrid, Madrid, Spain
| | | | | | - Carlos Cristi-Montero
- IRyS Group, Physical Education School, Pontificia Universidad Católica de Valparaíso, Valparaíso, Chile
| | | | - Alejandro Lucia
- Research Institute of Hospital 12 de Octubre ('i+12'), Madrid, Spain; European University of Madrid, Madrid, Spain
| | - Nuria Garatachea
- Research Institute of Hospital 12 de Octubre ('i+12'), Madrid, Spain; Departamento de Fisiatría y Enfermería, Facultad de Ciencias de la Salud y del Deporte, GENUD (Growth, Exercise, Nutrition and Development) research group, Instituto Agroalimentario de Aragón -IA2- (Universidad de Zaragoza-CITA), Zaragoza, Spain.
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24
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No Association between Variation in Longevity Candidate Genes and Aging-related Phenotypes in Oldest-old Danes. Exp Gerontol 2016; 78:57-61. [PMID: 26946122 DOI: 10.1016/j.exger.2016.03.001] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/09/2015] [Revised: 02/23/2016] [Accepted: 03/01/2016] [Indexed: 01/18/2023]
Abstract
In this study we explored the association between aging-related phenotypes previously reported to predict survival in old age and variation in 77 genes from the DNA repair pathway, 32 genes from the growth hormone 1/ insulin-like growth factor 1/insulin (GH/IGF-1/INS) signalling pathway and 16 additional genes repeatedly considered as candidates for human longevity: APOE, APOA4, APOC3, ACE, CETP, HFE, IL6, IL6R, MTHFR, TGFB1, SIRTs 1, 3, 6; and HSPAs 1A, 1L, 14. Altogether, 1,049 single nucleotide polymorphisms (SNPs) were genotyped in 1,088 oldest-old (age 92-93 years) Danes and analysed with phenotype data on physical functioning (hand grip strength), cognitive functioning (mini mental state examination and a cognitive composite score), activity of daily living and self-rated health. Five SNPs showed association to one of the phenotypes; however, none of these SNPs were associated with a change in the relevant phenotype over time (7 years of follow-up) and none of the SNPs could be confirmed in a replication sample of 1,281 oldest-old Danes (age 94-100). Hence, our study does not support association between common variation in the investigated longevity candidate genes and aging-related phenotypes consistently shown to predict survival. It is possible that larger sample sizes are needed to robustly reveal associations with small effect sizes.
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25
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Nygaard M, Debrabant B, Tan Q, Deelen J, Andersen‐Ranberg K, Craen AJ, Beekman M, Jeune B, Slagboom PE, Christensen K, Christiansen L. Copy number variation associates with mortality in long-lived individuals: a genome-wide assessment. Aging Cell 2016; 15:49-55. [PMID: 26446717 PMCID: PMC4717275 DOI: 10.1111/acel.12407] [Citation(s) in RCA: 17] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 09/09/2015] [Indexed: 11/30/2022] Open
Abstract
Copy number variants (CNVs) represent a significant source of genetic variation in the human genome and have been implicated in numerous diseases and complex traits. To date, only a few studies have investigated the role of CNVs in human lifespan. To investigate the impact of CNVs on prospective mortality at the extreme end of life, where the genetic component of lifespan appears most profound, we analyzed genomewide CNV data in 603 Danish nonagenarians and centenarians (mean age 96.9 years, range 90.0–102.5 years). Replication was performed in 500 long‐lived individuals from the Leiden Longevity Study (mean age 93.2 years, range 88.9–103.4 years). First, we assessed the association between the CNV burden of each individual (the number of CNVs, the average CNV length, and the total CNV length) and mortality and found a significant increase in mortality per 10 kb increase in the average CNV length, both for all CNVs (hazard ratio (HR) = 1.024, P = 0.002) and for duplications (HR = 1.011, P = 0.005), as well as per 100 kb increase in the total length of deletions (HR = 1.009, P = 0.0005). Next, we assessed the relation between specific deletions and duplications and mortality. Although no genome–wide significant associations were discovered, we identified six deletions and one duplication that showed consistent association with mortality in both or either of the sexes across both study populations. These results indicate that the genome–wide CNV burden, specifically the average CNV length and the total CNV length, associates with higher mortality in long‐lived individuals.
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Affiliation(s)
- Marianne Nygaard
- The Danish Aging Research Center Epidemiology, Biostatistics and Biodemography Department of Public Health University of Southern Denmark J.B. Winsloews Vej 9B, 5000, Odense C Denmark
- Department of Clinical Genetics Odense University Hospital Sdr. Boulevard 29, 5000, Odense C Denmark
| | - Birgit Debrabant
- The Danish Aging Research Center Epidemiology, Biostatistics and Biodemography Department of Public Health University of Southern Denmark J.B. Winsloews Vej 9B, 5000, Odense C Denmark
| | - Qihua Tan
- The Danish Aging Research Center Epidemiology, Biostatistics and Biodemography Department of Public Health University of Southern Denmark J.B. Winsloews Vej 9B, 5000, Odense C Denmark
- Department of Clinical Genetics Odense University Hospital Sdr. Boulevard 29, 5000, Odense C Denmark
| | - Joris Deelen
- Department of Molecular Epidemiology Leiden University Medical Center P.O. Box 9600, 2300 RC Leiden The Netherlands
| | - Karen Andersen‐Ranberg
- The Danish Aging Research Center Epidemiology, Biostatistics and Biodemography Department of Public Health University of Southern Denmark J.B. Winsloews Vej 9B, 5000, Odense C Denmark
| | - Anton J.M. Craen
- Department of Gerontology and Geriatrics Leiden University Medical Center P.O. Box 9600, 2300 RC Leiden The Netherlands
| | - Marian Beekman
- Department of Molecular Epidemiology Leiden University Medical Center P.O. Box 9600, 2300 RC Leiden The Netherlands
| | - Bernard Jeune
- The Danish Aging Research Center Epidemiology, Biostatistics and Biodemography Department of Public Health University of Southern Denmark J.B. Winsloews Vej 9B, 5000, Odense C Denmark
| | - Pieternella E. Slagboom
- Department of Molecular Epidemiology Leiden University Medical Center P.O. Box 9600, 2300 RC Leiden The Netherlands
| | - Kaare Christensen
- The Danish Aging Research Center Epidemiology, Biostatistics and Biodemography Department of Public Health University of Southern Denmark J.B. Winsloews Vej 9B, 5000, Odense C Denmark
- Department of Clinical Genetics Odense University Hospital Sdr. Boulevard 29, 5000, Odense C Denmark
- Department of Clinical Biochemistry and Pharmacology Odense University Hospital Sdr. Boulevard 29, 5000 Odense C Denmark
| | - Lene Christiansen
- The Danish Aging Research Center Epidemiology, Biostatistics and Biodemography Department of Public Health University of Southern Denmark J.B. Winsloews Vej 9B, 5000, Odense C Denmark
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26
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Le Bourg É. The somatotropic axis may not modulate ageing and longevity in humans. Biogerontology 2015; 17:421-9. [DOI: 10.1007/s10522-015-9632-6] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/06/2015] [Accepted: 12/22/2015] [Indexed: 01/24/2023]
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27
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Garatachea N, Fuku N, He ZH, Tian Y, Arai Y, Abe Y, Murakami H, Miyachi M, Yvert T, Venturini L, Santiago C, Santos-Lozano A, Rodríguez G, Ricevuti G, Pareja-Galeano H, Sanchis-Gomar F, Emanuele E, Hirose N, Lucia A. PTK2 rs7460 and rs7843014 polymorphisms and exceptional longevity: a functional replication study. Rejuvenation Res 2015; 17:430-8. [PMID: 24930376 DOI: 10.1089/rej.2014.1570] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/01/2023] Open
Abstract
Focal adhesion is critical for cell survival. The focal adhesion kinase (FAK, or PTK2) is an important component of the human interactome and thus is a potential longevity-related protein. Here we studied the association between two PTK2 gene single-nucleotide polymorphisms (SNPs) (rs7843014, rs7460) and exceptional longevity (EL). In addition to gaining insight into their functionality by determining luciferase gene reporter activity, we studied the genotype/allele frequency of these two SNPs among three different cohorts: (1) Spanish centenarians (n=175, 100-111 years, 144 women) and healthy controls (n=355, 20-50 years, 284 women); (2) Italian centenarians (n=79, 100-104 years, 40 women) and controls (n=316, 29-50 years, 156 women); and (3) Japanese centenarians (n=742, 100-116 years, 623 women) and healthy controls (n=499, 23-59 years, 356 women). Both SNPs had functional significance, with the A allele up-regulating luciferase activity compared to the other allele (rs7460 T allele and rs7843014 C allele, respectively). The A allele of both SNPs was negatively associated with EL in the Spanish cohort (rs7460, odds ratio [OR] adjusted by sex=0.40, 95% confidence intervals [CI] 0.3, 0.6, p<0.001); rs7843014, OR=0.37, 95% CI 0.3, 0.5, p<0.001). The OR of being a centenarian if having the rs7460-TT genotype was 6.68 (95% CI 4.1, 10.8, p<0.001). The rs7843014 CC genotype was also positively associated with EL (OR=7.58, 95% CI 4.6, 12.3, p<0.001]. No association was, however, found for the Italian or Japanese cohorts. Thus, two genotypes of the FAK gene, rs7460 TT and rs7843014 CC, are possibly associated with lower gene expression and might favor the likelihood of reaching EL in the Spanish population. Further research is needed to unveil the mechanisms by which FAK expression could perhaps influence the rate of aging.
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Affiliation(s)
- Nuria Garatachea
- 1 Faculty of Health and Sport Science, University of Zaragoza , Huesca, Spain
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