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Smulders L, Deelen J. Genetics of human longevity: From variants to genes to pathways. J Intern Med 2024; 295:416-435. [PMID: 37941149 DOI: 10.1111/joim.13740] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/10/2023]
Abstract
The current increase in lifespan without an equivalent increase in healthspan poses a grave challenge to the healthcare system and a severe burden on society. However, some individuals seem to be able to live a long and healthy life without the occurrence of major debilitating chronic diseases, and part of this trait seems to be hidden in their genome. In this review, we discuss the findings from studies on the genetic component of human longevity and the main challenges accompanying these studies. We subsequently focus on results from genetic studies in model organisms and comparative genomic approaches to highlight the most important conserved longevity-associated pathways. By combining the results from studies using these different approaches, we conclude that only five main pathways have been consistently linked to longevity, namely (1) insulin/insulin-like growth factor 1 signalling, (2) DNA-damage response and repair, (3) immune function, (4) cholesterol metabolism and (5) telomere maintenance. As our current approaches to study the relevance of these pathways in humans are limited, we suggest that future studies on the genetics of human longevity should focus on the identification and functional characterization of rare genetic variants in genes involved in these pathways.
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Affiliation(s)
- Larissa Smulders
- Max Planck Institute for Biology of Ageing, Cologne, Germany
- Cologne Excellence Cluster on Cellular Stress Responses in Ageing-Associated Diseases (CECAD), University of Cologne, Cologne, Germany
| | - Joris Deelen
- Max Planck Institute for Biology of Ageing, Cologne, Germany
- Cologne Excellence Cluster on Cellular Stress Responses in Ageing-Associated Diseases (CECAD), University of Cologne, Cologne, Germany
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2
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Torres GG, Dose J, Hasenbein TP, Nygaard M, Krause-Kyora B, Mengel-From J, Christensen K, Andersen-Ranberg K, Kolbe D, Lieb W, Laudes M, Görg S, Schreiber S, Franke A, Caliebe A, Kuhlenbäumer G, Nebel A. Long-Lived Individuals Show a Lower Burden of Variants Predisposing to Age-Related Diseases and a Higher Polygenic Longevity Score. Int J Mol Sci 2022; 23:10949. [PMID: 36142858 PMCID: PMC9504529 DOI: 10.3390/ijms231810949] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/09/2022] [Revised: 09/05/2022] [Accepted: 09/07/2022] [Indexed: 11/22/2022] Open
Abstract
Longevity is a complex phenotype influenced by both environmental and genetic factors. The genetic contribution is estimated at about 25%. Despite extensive research efforts, only a few longevity genes have been validated across populations. Long-lived individuals (LLI) reach extreme ages with a relative low prevalence of chronic disability and major age-related diseases (ARDs). We tested whether the protection from ARDs in LLI can partly be attributed to genetic factors by calculating polygenic risk scores (PRSs) for seven common late-life diseases (Alzheimer's disease (AD), atrial fibrillation (AF), coronary artery disease (CAD), colorectal cancer (CRC), ischemic stroke (ISS), Parkinson's disease (PD) and type 2 diabetes (T2D)). The examined sample comprised 1351 German LLI (≥94 years, including 643 centenarians) and 4680 German younger controls. For all ARD-PRSs tested, the LLI had significantly lower scores than the younger control individuals (areas under the curve (AUCs): ISS = 0.59, p = 2.84 × 10-35; AD = 0.59, p = 3.16 × 10-25; AF = 0.57, p = 1.07 × 10-16; CAD = 0.56, p = 1.88 × 10-12; CRC = 0.52, p = 5.85 × 10-3; PD = 0.52, p = 1.91 × 10-3; T2D = 0.51, p = 2.61 × 10-3). We combined the individual ARD-PRSs into a meta-PRS (AUC = 0.64, p = 6.45 × 10-15). We also generated two genome-wide polygenic scores for longevity, one with and one without the TOMM40/APOE/APOC1 gene region (AUC (incl. TOMM40/APOE/APOC1) = 0.56, p = 1.45 × 10-5, seven variants; AUC (excl. TOMM40/APOE/APOC1) = 0.55, p = 9.85 × 10-3, 10,361 variants). Furthermore, the inclusion of nine markers from the excluded region (not in LD with each other) plus the APOE haplotype into the model raised the AUC from 0.55 to 0.61. Thus, our results highlight the importance of TOMM40/APOE/APOC1 as a longevity hub.
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Affiliation(s)
- Guillermo G. Torres
- Institute of Clinical Molecular Biology, Kiel University, University Hospital Schleswig-Holstein, Campus Kiel, Rosalind-Franklin-Str. 12, 24105 Kiel, Germany
| | - Janina Dose
- Institute of Clinical Molecular Biology, Kiel University, University Hospital Schleswig-Holstein, Campus Kiel, Rosalind-Franklin-Str. 12, 24105 Kiel, Germany
| | - Tim P. Hasenbein
- Institute of Clinical Molecular Biology, Kiel University, University Hospital Schleswig-Holstein, Campus Kiel, Rosalind-Franklin-Str. 12, 24105 Kiel, Germany
- Department of Neurology, Kiel University, University Hospital Schleswig-Holstein, Campus Kiel, Arnold-Heller-Str. 3, 24105 Kiel, Germany
- Institute of Pharmacology and Toxicology, Technical University Munich, Biedersteiner Str. 29, 80802 Munich, Germany
| | - Marianne Nygaard
- Department of Public Health, Epidemiology, Biostatistics and Biodemography, University of Southern, Denmark, J.B. Winsloews Vej 9B, 5000 Odense, Denmark
- Department of Clinical Genetics, Odense University Hospital, J.B. Winsloews Vej 4, 5000 Odense, Denmark
| | - Ben Krause-Kyora
- Institute of Clinical Molecular Biology, Kiel University, University Hospital Schleswig-Holstein, Campus Kiel, Rosalind-Franklin-Str. 12, 24105 Kiel, Germany
| | - Jonas Mengel-From
- Department of Public Health, Epidemiology, Biostatistics and Biodemography, University of Southern, Denmark, J.B. Winsloews Vej 9B, 5000 Odense, Denmark
- Department of Clinical Genetics, Odense University Hospital, J.B. Winsloews Vej 4, 5000 Odense, Denmark
| | - Kaare Christensen
- Department of Public Health, Epidemiology, Biostatistics and Biodemography, University of Southern, Denmark, J.B. Winsloews Vej 9B, 5000 Odense, Denmark
- Department of Clinical Genetics, Odense University Hospital, J.B. Winsloews Vej 4, 5000 Odense, Denmark
- Department of Clinical Biochemistry, Odense University Hospital, Kløvervænget 47, 5000 Odense, Denmark
| | - Karen Andersen-Ranberg
- Department of Public Health, Epidemiology, Biostatistics and Biodemography, University of Southern, Denmark, J.B. Winsloews Vej 9B, 5000 Odense, Denmark
- Department of Geriatric Medicine, Odense University Hospital, Kløvervænget 23, 5000 Odense, Denmark
| | - Daniel Kolbe
- Institute of Clinical Molecular Biology, Kiel University, University Hospital Schleswig-Holstein, Campus Kiel, Rosalind-Franklin-Str. 12, 24105 Kiel, Germany
| | - Wolfgang Lieb
- Institute of Epidemiology and Biobank Popgen, Kiel University, University Hospital Schleswig-Holstein, Campus Kiel, Niemannsweg 11, 24105 Kiel, Germany
| | - Matthias Laudes
- Clinic for Internal Medicine I, Division of Endocrinology, Diabetes and Clinical Nutrition, Kiel University, University Hospital Schleswig-Holstein, Campus Kiel, Arnold-Heller-Straße 3, 24105 Kiel, Germany
| | - Siegfried Görg
- Institute of Transfusion Medicine, University Hospital Schleswig-Holstein, Campus Lübeck, Ratzeburger Allee 160, 23538 Lübeck, Germany
| | - Stefan Schreiber
- Institute of Clinical Molecular Biology, Kiel University, University Hospital Schleswig-Holstein, Campus Kiel, Rosalind-Franklin-Str. 12, 24105 Kiel, Germany
| | - Andre Franke
- Institute of Clinical Molecular Biology, Kiel University, University Hospital Schleswig-Holstein, Campus Kiel, Rosalind-Franklin-Str. 12, 24105 Kiel, Germany
| | - Amke Caliebe
- Institute of Medical Informatics and Statistics, Kiel University, University Hospital Schleswig-Holstein, Campus Kiel, Brunswiker Str. 10, 24105 Kiel, Germany
| | - Gregor Kuhlenbäumer
- Department of Neurology, Kiel University, University Hospital Schleswig-Holstein, Campus Kiel, Arnold-Heller-Str. 3, 24105 Kiel, Germany
| | - Almut Nebel
- Institute of Clinical Molecular Biology, Kiel University, University Hospital Schleswig-Holstein, Campus Kiel, Rosalind-Franklin-Str. 12, 24105 Kiel, Germany
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Gunn S, Wainberg M, Song Z, Andersen S, Boudreau R, Feitosa MF, Tan Q, Montasser ME, O'Connell JR, Stitziel N, Price N, Perls T, Schork NJ, Sebastiani P. Distribution of 54 polygenic risk scores for common diseases in long lived individuals and their offspring. GeroScience 2022; 44:719-729. [PMID: 35119614 PMCID: PMC9135909 DOI: 10.1007/s11357-022-00518-2] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/27/2021] [Accepted: 01/15/2022] [Indexed: 12/01/2022] Open
Abstract
A surprising and well-replicated result in genetic studies of human longevity is that centenarians appear to carry disease-associated variants in numbers similar to the general population. With the proliferation of large genome-wide association studies (GWAS) in recent years, investigators have turned to polygenic scores to leverage GWAS results into a measure of genetic risk that can better predict the risk of disease than individual significant variants alone. We selected 54 polygenic risk scores (PRSs) developed for a variety of outcomes, and we calculated their values in individuals from the New England Centenarian Study (NECS, N = 4886) and the Long Life Family Study (LLFS, N = 4577). We compared the distribution of these PRSs among exceptionally long-lived individuals (ELLI), their offspring, and controls, and we also examined their predictive values, using t-tests and regression models adjusting for sex and principal components reflecting the ancestral background of the individuals (PCs). In our analyses, we controlled for multiple testing using a Bonferroni-adjusted threshold for 54 traits. We found that only 4 of the 54 PRSs differed between ELLIs and controls in both cohorts. ELLIs had significantly lower mean PRSs for Alzheimer's disease (AD) and coronary artery disease (CAD) than controls, suggesting a genetic predisposition to extreme longevity may be mediated by reduced susceptibility to these traits. ELLIs also had significantly higher mean PRSs for improved cognitive function and parental extreme longevity. In addition, the PRS for AD was associated with a higher risk of dementia among controls but not ELLIs (p = 0.003, 0.3 in NECS, p = 0.03, 0.9 in LLFS, respectively). ELLIs have a similar burden of genetic disease risk as the general population for most traits but have a significantly lower genetic risk of AD and CAD. The lack of association between AD PRS and dementia among ELLIs suggests that the genetic risk for AD that they do have is somehow counteracted by protective genetic or environmental factors.
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Affiliation(s)
- Sophia Gunn
- Department of Biostatistics, Boston University, Crosstown Building, 801 Massachusetts Avenue 3rd Floor, Boston, MA, 02118, USA.
| | - Michael Wainberg
- Institute for Systems Biology, 401 Terry Avenue North, Seattle, WA, 98109-5263, USA
| | - Zeyuan Song
- Department of Biostatistics, Boston University, Crosstown Building, 801 Massachusetts Avenue 3rd Floor, Boston, MA, 02118, USA
| | - Stacy Andersen
- Department of Medicine, Boston University, Crosstown Building, 801 Massachusetts Avenue 3rd Floor, Boston, MA, 02118, USA
| | - Robert Boudreau
- University of Pittsburgh, 127 N. Bellefield Avenue Pittsburgh, Pittsburgh, PA, 15260, USA
| | - Mary F Feitosa
- Department of Genetics, Washington University School of Medicine in St Louis, 660 S. Euclid Ave, St. Louis, MO, 63110-1010, USA
| | - Qihua Tan
- University of Southern Denmark, Campusvej 55, Odense M, Denmark
| | - May E Montasser
- Department of Medicine, Division of Endocrinology, Diabetes and Nutrition and Program for Personalized and Genomic Medicine, School of Medicine, University of Maryland, 620 W Lexington St, BaltimoreBaltimore, MD, 21201, USA
| | - Jeffrey R O'Connell
- Department of Medicine, Division of Endocrinology, Diabetes and Nutrition and Program for Personalized and Genomic Medicine, School of Medicine, University of Maryland, 620 W Lexington St, BaltimoreBaltimore, MD, 21201, USA
| | - Nathan Stitziel
- Department of Genetics, Washington University School of Medicine in St Louis, 660 S. Euclid Ave, St. Louis, MO, 63110-1010, USA
| | - Nathan Price
- Institute for Systems Biology, 401 Terry Avenue North, Seattle, WA, 98109-5263, USA
| | - Thomas Perls
- Department of Medicine, Boston University, Crosstown Building, 801 Massachusetts Avenue 3rd Floor, Boston, MA, 02118, USA
| | | | - Paola Sebastiani
- Institute for Clinical Research and Health Policy Studies, Tufts Medical Center, Boston, MA, USA
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Cahill S, Chandola T, Hager R. Genetic Variants Associated With Resilience in Human and Animal Studies. Front Psychiatry 2022; 13:840120. [PMID: 35669264 PMCID: PMC9163442 DOI: 10.3389/fpsyt.2022.840120] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/20/2021] [Accepted: 04/19/2022] [Indexed: 11/15/2022] Open
Abstract
Resilience is broadly defined as the ability to maintain or regain functioning in the face of adversity and is influenced by both environmental and genetic factors. The identification of specific genetic factors and their biological pathways underpinning resilient functioning can help in the identification of common key factors, but heterogeneities in the operationalisation of resilience have hampered advances. We conducted a systematic review of genetic variants associated with resilience to enable the identification of general resilience mechanisms. We adopted broad inclusion criteria for the definition of resilience to capture both human and animal model studies, which use a wide range of resilience definitions and measure very different outcomes. Analyzing 158 studies, we found 71 candidate genes associated with resilience. OPRM1 (Opioid receptor mu 1), NPY (neuropeptide Y), CACNA1C (calcium voltage-gated channel subunit alpha1 C), DCC (deleted in colorectal carcinoma), and FKBP5 (FKBP prolyl isomerase 5) had both animal and human variants associated with resilience, supporting the idea of shared biological pathways. Further, for OPRM1, OXTR (oxytocin receptor), CRHR1 (corticotropin-releasing hormone receptor 1), COMT (catechol-O-methyltransferase), BDNF (brain-derived neurotrophic factor), APOE (apolipoprotein E), and SLC6A4 (solute carrier family 6 member 4), the same allele was associated with resilience across divergent resilience definitions, which suggests these genes may therefore provide a starting point for further research examining commonality in resilience pathways.
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Affiliation(s)
- Stephanie Cahill
- Evolution, Infection and Genomics, Faculty of Biology, Medicine and Health, Manchester Academic Health Science Centre, The University of Manchester, Manchester, United Kingdom.,Faculty of Humanities, Cathie Marsh Institute for Social Research, The University of Manchester, Manchester, United Kingdom
| | - Tarani Chandola
- Faculty of Humanities, Cathie Marsh Institute for Social Research, The University of Manchester, Manchester, United Kingdom.,Methods Hub, Department of Sociology, Faculty of Social Sciences, The University of Hong Kong, Hong Kong, Hong Kong SAR, China
| | - Reinmar Hager
- Evolution, Infection and Genomics, Faculty of Biology, Medicine and Health, Manchester Academic Health Science Centre, The University of Manchester, Manchester, United Kingdom
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Gutman D, Lidzbarsky G, Milman S, Gao T, Sin-Chan P, Gonzaga‐Jauregui C, Deelen J, Shuldiner AR, Barzilai N, Atzmon G. Similar burden of pathogenic coding variants in exceptionally long-lived individuals and individuals without exceptional longevity. Aging Cell 2020; 19:e13216. [PMID: 32860726 PMCID: PMC7576295 DOI: 10.1111/acel.13216] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/10/2019] [Revised: 06/22/2020] [Accepted: 07/12/2020] [Indexed: 12/13/2022] Open
Abstract
Centenarians (exceptionally long‐lived individuals—ELLI) are a unique segment of the population, exhibiting long human lifespan and healthspan, despite generally practicing similar lifestyle habits as their peers. We tested disease‐associated mutation burden in ELLI genomes by determining the burden of pathogenic variants reported in the ClinVar and HGMD databases using data from whole exome sequencing (WES) conducted in a cohort of ELLI, their offspring, and control individuals without antecedents of familial longevity (n = 1879), all descendent from the founder population of Ashkenazi Jews. The burden of pathogenic variants did not differ between the three groups. Additional analyses of variants subtypes and variant effect predictor (VEP) biotype frequencies did not reveal a decrease of pathogenic or loss‐of‐function (LoF) variants in ELLI and offspring compared to the control group. Case–control pathogenic variants enrichment analyses conducted in ELLI and controls also did not identify significant differences in any of the variants between the groups and polygenic risk scores failed to provide a predictive model. Interestingly, cancer and Alzheimer's disease‐associated variants were significantly depleted in ELLI compared to controls, suggesting slower accumulation of mutation. That said, polygenic risk score analysis failed to find any predictive variants among the functional variants tested. The high similarity in the burden of pathogenic variation between ELLI and individuals without familial longevity supports the notion that extension of lifespan and healthspan in ELLI is not a consequence of pathogenic variant depletion but rather a result of other genomic, epigenomic, or potentially nongenomic properties.
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Affiliation(s)
- Danielle Gutman
- Faculty of Natural Sciences University of Haifa Haifa Israel
| | | | - Sofiya Milman
- Department of Medicine Albert Einstein College of Medicine Bronx New York USA
| | - Tina Gao
- Department of Medicine Albert Einstein College of Medicine Bronx New York USA
| | | | | | - Joris Deelen
- Max Planck Institute for Biology of Ageing Cologne Germany
- Molecular Epidemiology Department of Biochemical Data Sciences Leiden University Medical Center Leiden The Netherlands
| | | | - Nir Barzilai
- Department of Medicine Albert Einstein College of Medicine Bronx New York USA
- Genetic, Institute for Aging Research and the Diabetes Research Center Albert Einstein College of Medicine Bronx New York USA
| | - Gil Atzmon
- Faculty of Natural Sciences University of Haifa Haifa Israel
- Department of Medicine Albert Einstein College of Medicine Bronx New York USA
- Genetic, Institute for Aging Research and the Diabetes Research Center Albert Einstein College of Medicine Bronx New York USA
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Tindale LC, Thiessen N, Leach S, Brooks-Wilson AR. Allele-Specific Transcript Abundance: A Pilot Study in Healthy Centenarians. J Gerontol A Biol Sci Med Sci 2020; 75:1068-1072. [PMID: 31504207 PMCID: PMC7243586 DOI: 10.1093/gerona/glz188] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/06/2019] [Indexed: 11/13/2022] Open
Abstract
The genetic basis of healthy aging and longevity remains largely unexplained. One hypothesis as to why long-lived individuals do not appear to have a lower number of common-complex disease variants, is that despite carrying risk variants, they express disease-linked alleles at a lower level than the wild-type alleles. Allele-specific abundance (ASA) is the different transcript abundance of the two haplotypes of a diploid individual. We sequenced the transcriptomes of four healthy centenarians and four mid-life controls. CIBERSORT was used to estimate blood cell fractions: neutrophils were the most abundant source of RNA, followed by CD8+ T cells, resting NK cells, and monocytes. ASA variants were more common in noncoding than coding regions. Centenarians and controls had a comparable distribution of ASA variants by predicted effect, and we did not observe an overall bias in expression toward major or minor alleles. Immune pathways were most highly represented among the gene set that showed ASA. Although we found evidence of ASA in disease-associated genes and transcription factors, we did not observe any differences in the pattern of expression between centenarians and controls in this small pilot study.
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Affiliation(s)
- Lauren C Tindale
- Canada's Michael Smith Genome Sciences Centre, BC Cancer Agency, Vancouver, Canada.,Department of Biomedical Physiology and Kinesiology, Simon Fraser University, Burnaby, Canada
| | - Nina Thiessen
- Canada's Michael Smith Genome Sciences Centre, BC Cancer Agency, Vancouver, Canada
| | - Stephen Leach
- Canada's Michael Smith Genome Sciences Centre, BC Cancer Agency, Vancouver, Canada
| | - Angela R Brooks-Wilson
- Canada's Michael Smith Genome Sciences Centre, BC Cancer Agency, Vancouver, Canada.,Department of Biomedical Physiology and Kinesiology, Simon Fraser University, Burnaby, Canada
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Gutman D, Rivkin E, Fadida A, Sharvit L, Hermush V, Rubin E, Kirshner D, Sabin I, Dwolatzky T, Atzmon G. Exceptionally Long-Lived Individuals (ELLI) Demonstrate Slower Aging Rate Calculated by DNA Methylation Clocks as Possible Modulators for Healthy Longevity. Int J Mol Sci 2020; 21:ijms21020615. [PMID: 31963520 PMCID: PMC7013521 DOI: 10.3390/ijms21020615] [Citation(s) in RCA: 16] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/25/2019] [Revised: 01/14/2020] [Accepted: 01/15/2020] [Indexed: 12/23/2022] Open
Abstract
Exceptionally long-lived individuals (ELLI) who are the focus of many healthy longevity studies around the globe are now being studied in Israel. The Israeli Multi-Ethnic Centenarian Study (IMECS) cohort is utilized here for assessment of various DNA methylation clocks. Thorough phenotypic characterization and whole blood samples were obtained from ELLI, offspring of ELLI, and controls aged 53–87 with no familial exceptional longevity. DNA methylation was assessed using Illumina MethylationEPIC Beadchip and applied to DNAm age online tool for age and telomere length predictions. Relative telomere length was assessed using qPCR T/S (Telomere/Single copy gene) ratios. ELLI demonstrated juvenile performance in DNAm age clocks and overall methylation measurement, with preserved cognition and relative telomere length. Our findings suggest a favorable DNA methylation profile in ELLI enabling a slower rate of aging in those individuals in comparison to controls. It is possible that DNA methylation is a key modulator of the rate of aging and thus the ELLI DNAm profile promotes healthy longevity.
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Affiliation(s)
- Danielle Gutman
- Department of Human Biology, Faculty of Natural Sciences, University of Haifa, Haifa 3498838, Israel; (D.G.); (L.S.)
| | - Elina Rivkin
- Faculty of Public Health, University of Haifa, Haifa 3498838, Israel; (E.R.); (A.F.)
| | - Almog Fadida
- Faculty of Public Health, University of Haifa, Haifa 3498838, Israel; (E.R.); (A.F.)
| | - Lital Sharvit
- Department of Human Biology, Faculty of Natural Sciences, University of Haifa, Haifa 3498838, Israel; (D.G.); (L.S.)
| | - Vered Hermush
- Department of Geriatrics and Skilled Nursing, Laniado Medical Center, Netanya 4244916, Israel;
- Ruth and Bruce Rappaport Faculty of Medicine, Technion–Israel Institute of Technology, Haifa 3200003, Israel; (D.K.); (I.S.); (T.D.)
| | - Elad Rubin
- Department of Geriatrics, Rambam Health Care Campus, Haifa 3109601, Israel;
| | - Dani Kirshner
- Ruth and Bruce Rappaport Faculty of Medicine, Technion–Israel Institute of Technology, Haifa 3200003, Israel; (D.K.); (I.S.); (T.D.)
- Department of Geriatrics, Rambam Health Care Campus, Haifa 3109601, Israel;
| | - Irina Sabin
- Ruth and Bruce Rappaport Faculty of Medicine, Technion–Israel Institute of Technology, Haifa 3200003, Israel; (D.K.); (I.S.); (T.D.)
- Department of Geriatrics, Rambam Health Care Campus, Haifa 3109601, Israel;
| | - Tzvi Dwolatzky
- Ruth and Bruce Rappaport Faculty of Medicine, Technion–Israel Institute of Technology, Haifa 3200003, Israel; (D.K.); (I.S.); (T.D.)
- Department of Geriatrics, Rambam Health Care Campus, Haifa 3109601, Israel;
| | - Gil Atzmon
- Department of Human Biology, Faculty of Natural Sciences, University of Haifa, Haifa 3498838, Israel; (D.G.); (L.S.)
- Departments of Genetics and Medicine, Division of endocrinology, Institute for Aging Research and the Diabetes Research Center, Albert Einstein College of Medicine, Bronx, New York, NY 10461, USA
- Correspondence: ; Tel.: +972-4664-7927
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8
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Roles of tau pathology in the locus coeruleus (LC) in age-associated pathophysiology and Alzheimer’s disease pathogenesis: Potential strategies to protect the LC against aging. Brain Res 2019; 1702:17-28. [DOI: 10.1016/j.brainres.2017.12.027] [Citation(s) in RCA: 38] [Impact Index Per Article: 7.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/04/2017] [Revised: 11/21/2017] [Accepted: 12/19/2017] [Indexed: 12/11/2022]
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10
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Nygaard M, Thinggaard M, Christensen K, Christiansen L. Investigation of the 5q33.3 longevity locus and age-related phenotypes. Aging (Albany NY) 2017; 9:247-255. [PMID: 28100865 PMCID: PMC5310666 DOI: 10.18632/aging.101156] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/12/2016] [Accepted: 01/09/2017] [Indexed: 01/12/2023]
Abstract
A large meta-analysis recently found the 5q33.3 locus to be associated with survival to ≥ 90 years and lower all-cause mortality, thus suggesting it as a third human longevity locus alongside APOE and FOXO3A. The 5q33.3 locus has previously been associated with blood pressure regulation and cardiovascular diseases in middle-aged individuals. However, part of the influence on mortality appears to be independent of cardiovascular phenotypes, and the role of the 5q33.3 locus in longevity and survival is therefore still partly unknown. We investigated the association between the longevity-associated variant rs2149954 on chromosome 5q33.3 and age-related phenotypes in two cohorts of 1,588 and 1,271 long-lived individuals (mean ages 93.1 and 95.9 years, respectively) as well as in 700 middle-aged and 677 elderly individuals (mean ages 52.5 and 78.7 years). Altogether, nominally significant associations between the rs2149954 minor allele and a decreased risk of heart attack and heart failure as well as increased physical functioning were found in the long-lived individuals. In the middle-aged and elderly individuals, rs2149954 minor allele carriers had a lower risk of hypertension. Our results thereby confirm a role of the 5q33.3 locus in cardiovascular health and, interestingly, they also suggest a role in physical functioning.
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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, 5000 Odense C, Denmark.,Department of Clinical Genetics, Odense University Hospital, 5000 Odense C, Denmark
| | - Mikael Thinggaard
- The Danish Aging Research Center, Epidemiology, Biostatistics and Biodemography, Department of Public Health, University of Southern Denmark, 5000 Odense C, Denmark.,Max Planck Odense Center on the Biodemography on Aging, 5000 Odense C, Denmark
| | - Kaare Christensen
- The Danish Aging Research Center, Epidemiology, Biostatistics and Biodemography, Department of Public Health, University of Southern Denmark, 5000 Odense C, Denmark.,Department of Clinical Genetics, Odense University Hospital, 5000 Odense C, Denmark.,Max Planck Odense Center on the Biodemography on Aging, 5000 Odense C, Denmark.,Department of Clinical Biochemistry and Pharmacology, Odense University Hospital, 5000 Odense C, Denmark
| | - Lene Christiansen
- The Danish Aging Research Center, Epidemiology, Biostatistics and Biodemography, Department of Public Health, University of Southern Denmark, 5000 Odense C, Denmark
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Sebastiani P, Gurinovich A, Bae H, Andersen S, Malovini A, Atzmon G, Villa F, Kraja AT, Ben-Avraham D, Barzilai N, Puca A, Perls TT. Four Genome-Wide Association Studies Identify New Extreme Longevity Variants. J Gerontol A Biol Sci Med Sci 2017; 72:1453-1464. [PMID: 28329165 DOI: 10.1093/gerona/glx027] [Citation(s) in RCA: 69] [Impact Index Per Article: 9.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/20/2016] [Accepted: 02/14/2017] [Indexed: 01/10/2023] Open
Abstract
The search for the genetic determinants of extreme human longevity has been challenged by the phenotype's rarity and its nonspecific definition by investigators. To address these issues, we established a consortium of four studies of extreme longevity that contributed 2,070 individuals who survived to the oldest one percentile of survival for the 1900 U.S. birth year cohort. We conducted various analyses to discover longevity-associated variants (LAV) and characterized those LAVs that differentiate survival to extreme age at death (eSAVs) from those LAVs that become more frequent in centenarians because of mortality selection (eg, survival to younger years). The analyses identified new rare variants in chromosomes 4 and 7 associated with extreme survival and with reduced risk for cardiovascular disease and Alzheimer's disease. The results confirm the importance of studying truly rare survival to discover those combinations of common and rare variants associated with extreme longevity and longer health span.
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Affiliation(s)
- Paola Sebastiani
- Department of Biostatistics, Boston University School of Public Health, Massachusetts
| | | | - Harold Bae
- College of Public Health and Human Sciences, Oregon State University, Corvallis
| | - Stacy Andersen
- Geriatrics Section, Department of Medicine, Boston University School of Medicine & Boston Medical Center, Massachusetts
| | - Alberto Malovini
- Laboratory of Informatics and Systems Engineering for Clinical Research, IRCCS Fondazione Salvatore Maugeri, Pavia, Italy
| | - Gil Atzmon
- Department of Natural Science, University of Haifa, Israel.,Department of Medicine.,Department of Genetics, Albert Einstein College of Medicine, Bronx, New York
| | - Francesco Villa
- IRCCS MultiMedica, Milan, Italy.,Department of Medicine and Surgery, University of Salerno, Baronissi, Italy
| | - Aldi T Kraja
- Division of Statistical Genomics, Washington University School of Medicine, Saint Louis, Missouri
| | - Danny Ben-Avraham
- Department of Medicine.,Department of Genetics, Albert Einstein College of Medicine, Bronx, New York
| | - Nir Barzilai
- Department of Medicine.,Department of Genetics, Albert Einstein College of Medicine, Bronx, New York
| | - Annibale Puca
- IRCCS MultiMedica, Milan, Italy.,Department of Medicine and Surgery, University of Salerno, Baronissi, Italy
| | - Thomas T Perls
- Geriatrics Section, Department of Medicine, Boston University School of Medicine & Boston Medical Center, Massachusetts
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12
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Tindale LC, Leach S, Spinelli JJ, Brooks-Wilson AR. Lipid and Alzheimer's disease genes associated with healthy aging and longevity in healthy oldest-old. Oncotarget 2017; 8:20612-20621. [PMID: 28206976 PMCID: PMC5400530 DOI: 10.18632/oncotarget.15296] [Citation(s) in RCA: 22] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/24/2016] [Accepted: 01/08/2017] [Indexed: 12/20/2022] Open
Abstract
Several studies have found that long-lived individuals do not appear to carry lower numbers of common disease-associated variants than ordinary people; it has been hypothesized that they may instead carry protective variants. An intriguing type of protective variant is buffering variants that protect against variants that have deleterious effects. We genotyped 18 variants in 15 genes related to longevity or healthy aging that had been previously reported as having a gene-gene interaction or buffering effect. We compared a group of 446 healthy oldest-old ‘Super-Seniors’ (individuals 85 or older who have never been diagnosed with cancer, cardiovascular disease, dementia, diabetes or major pulmonary disease) to 421 random population-based midlife controls. Cases and controls were of European ancestry. Association tests of individual SNPs showed that Super-Seniors were less likely than controls to carry an APOEε4 allele or a haptoglobin HP2 allele. Interactions between APOE/FOXO3, APOE/CRYL1, and LPA/CRYL1 did not remain significant after multiple testing correction. In a network analysis of the candidate genes, lipid and cholesterol metabolism was a common theme. APOE, HP, and CRYL1 have all been associated with Alzheimer’s Disease, the pathology of which involves lipid and cholesterol pathways. Age-related changes in lipid and cholesterol maintenance, particularly in the brain, may be central to healthy aging and longevity.
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Affiliation(s)
- Lauren C Tindale
- Canada's Michael Smith Genome Sciences Centre, British Columbia Cancer Agency, Vancouver, B.C., Canada.,Department of Biomedical Physiology and Kinesiology, Simon Fraser University, Burnaby, B.C., Canada
| | - Stephen Leach
- Canada's Michael Smith Genome Sciences Centre, British Columbia Cancer Agency, Vancouver, B.C., Canada
| | - John J Spinelli
- Cancer Control Research, British Columbia Cancer Agency, Vancouver, B.C., Canada.,School of Population and Public Health, University of British Columbia, Vancouver, B.C., Canada
| | - Angela R Brooks-Wilson
- Canada's Michael Smith Genome Sciences Centre, British Columbia Cancer Agency, Vancouver, B.C., Canada.,Department of Biomedical Physiology and Kinesiology, Simon Fraser University, Burnaby, B.C., Canada
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13
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Ismail K, Nussbaum L, Sebastiani P, Andersen S, Perls T, Barzilai N, Milman S. Compression of Morbidity Is Observed Across Cohorts with Exceptional Longevity. J Am Geriatr Soc 2016; 64:1583-91. [PMID: 27377170 PMCID: PMC4988893 DOI: 10.1111/jgs.14222] [Citation(s) in RCA: 68] [Impact Index Per Article: 8.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/01/2023]
Abstract
OBJECTIVES To determine, in a sample of Ashkenazi Jewish aged 95 and older, whether there is a compression of morbidity similar to what has been reported in other cohorts with exceptional longevity. DESIGN Case-control study. SETTING Longevity Genes Project (LGP) and New England Centenarian Study (NECS). PARTICIPANTS LGP (n = 439, mean age 97.8 ± 2.8) and NECS (n = 1,498, mean age 101.4 ± 4.0) participants with exceptional longevity and their respective younger referent cohorts (LGP, n = 696; NECS, n = 302). MEASUREMENTS Self- and proxy reports of age of onset of cancer, cardiovascular disease, diabetes mellitus, hypertension, osteoporosis, and stroke. RESULTS Long-lived individuals from LGP and NECS had later age of onset of cancer, cardiovascular disease, diabetes mellitus, hypertension, and osteoporosis than their respective younger reference groups. The risk of overall morbidity was lower in participants with exceptional longevity than in younger participants (NECS men: relative risk (RR) = 0.12, women: RR = 0.20; LGP men: RR = 0.18, women: RR = 0.24). The age at which 20% of each of the groups with exceptional longevity experienced specific diseases was between 18 and 24 years later than in the reference groups, stratified according to sex. CONCLUSION The similar extension of health span and compression of morbidity seen in NECS and LGP participants with exceptional longevity further validates the utility of these rare individuals for the study of factors that delay or prevent a broad spectrum of diseases otherwise associated with mortality and disability.
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Affiliation(s)
- Khadija Ismail
- Department of Medicine, Division of Endocrinology and Institute for Aging Research, Albert Einstein College of Medicine, Bronx, NY 10461
| | - Lisa Nussbaum
- Department of Biostatistics, Boston University School of Public Health, Boston, MA 02118
| | - Paola Sebastiani
- Department of Biostatistics, Boston University School of Public Health, Boston, MA 02118
| | - Stacy Andersen
- Geriatrics Section, Department of Medicine, Boston University School of Medicine and Boston Medical Center, Boston, MA 02118
| | - Thomas Perls
- Geriatrics Section, Department of Medicine, Boston University School of Medicine and Boston Medical Center, Boston, MA 02118
| | - Nir Barzilai
- Department of Medicine, Division of Endocrinology and Institute for Aging Research, Albert Einstein College of Medicine, Bronx, NY 10461
| | - Sofiya Milman
- Department of Medicine, Division of Endocrinology and Institute for Aging Research, Albert Einstein College of Medicine, Bronx, NY 10461
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14
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Luyten W, Antal P, Braeckman BP, Bundy J, Cirulli F, Fang-Yen C, Fuellen G, Leroi A, Liu Q, Martorell P, Metspalu A, Perola M, Ristow M, Saul N, Schoofs L, Siems K, Temmerman L, Smets T, Wolk A, Rattan SIS. Ageing with elegans: a research proposal to map healthspan pathways. Biogerontology 2016; 17:771-82. [DOI: 10.1007/s10522-016-9644-x] [Citation(s) in RCA: 29] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/24/2015] [Accepted: 03/13/2016] [Indexed: 12/18/2022]
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15
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Pilling LC, Atkins JL, Bowman K, Jones SE, Tyrrell J, Beaumont RN, Ruth KS, Tuke MA, Yaghootkar H, Wood AR, Freathy RM, Murray A, Weedon MN, Xue L, Lunetta K, Murabito JM, Harries LW, Robine JM, Brayne C, Kuchel GA, Ferrucci L, Frayling TM, Melzer D. Human longevity is influenced by many genetic variants: evidence from 75,000 UK Biobank participants. Aging (Albany NY) 2016; 8:547-60. [PMID: 27015805 PMCID: PMC4833145 DOI: 10.18632/aging.100930] [Citation(s) in RCA: 87] [Impact Index Per Article: 10.9] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/05/2016] [Accepted: 03/10/2016] [Indexed: 11/25/2022]
Abstract
Variation in human lifespan is 20 to 30% heritable in twins but few genetic variants have been identified. We undertook a Genome Wide Association Study (GWAS) using age at death of parents of middle-aged UK Biobank participants of European decent (n=75,244 with father's and/or mother's data, excluding early deaths). Genetic risk scores for 19 phenotypes (n=777 proven variants) were also tested. In GWAS, a nicotine receptor locus(CHRNA3, previously associated with increased smoking and lung cancer) was associated with fathers' survival. Less common variants requiring further confirmation were also identified. Offspring of longer lived parents had more protective alleles for coronary artery disease, systolic blood pressure, body mass index, cholesterol and triglyceride levels, type-1 diabetes, inflammatory bowel disease and Alzheimer's disease. In candidate analyses, variants in the TOMM40/APOE locus were associated with longevity, but FOXO variants were not. Associations between extreme longevity (mother >=98 years, fathers >=95 years, n=1,339) and disease alleles were similar, with an additional association with HDL cholesterol (p=5.7x10-3). These results support a multiple protective factors model influencing lifespan and longevity (top 1% survival) in humans, with prominent roles for cardiovascular-related pathways. Several of these genetically influenced risks, including blood pressure and tobacco exposure, are potentially modifiable.
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Affiliation(s)
- Luke C. Pilling
- Epidemiology and Public Health Group, University of Exeter Medical School, RILD Level 3, Royal Devon and Exeter Hospital, Exeter, EX2 5DW, UK
| | - Janice L. Atkins
- Epidemiology and Public Health Group, University of Exeter Medical School, RILD Level 3, Royal Devon and Exeter Hospital, Exeter, EX2 5DW, UK
| | - Kirsty Bowman
- Epidemiology and Public Health Group, University of Exeter Medical School, RILD Level 3, Royal Devon and Exeter Hospital, Exeter, EX2 5DW, UK
| | - Samuel E. Jones
- Genetics of Complex Traits Group, University of Exeter Medical School, RILD Level 3, Royal Devon and Exeter Hospital, Exeter, EX2 5DW, UK
| | - Jessica Tyrrell
- Genetics of Complex Traits Group, University of Exeter Medical School, RILD Level 3, Royal Devon and Exeter Hospital, Exeter, EX2 5DW, UK
| | - Robin N. Beaumont
- Genetics of Complex Traits Group, University of Exeter Medical School, RILD Level 3, Royal Devon and Exeter Hospital, Exeter, EX2 5DW, UK
| | - Katherine S. Ruth
- Genetics of Complex Traits Group, University of Exeter Medical School, RILD Level 3, Royal Devon and Exeter Hospital, Exeter, EX2 5DW, UK
| | - Marcus A. Tuke
- Genetics of Complex Traits Group, University of Exeter Medical School, RILD Level 3, Royal Devon and Exeter Hospital, Exeter, EX2 5DW, UK
| | - Hanieh Yaghootkar
- Genetics of Complex Traits Group, University of Exeter Medical School, RILD Level 3, Royal Devon and Exeter Hospital, Exeter, EX2 5DW, UK
| | - Andrew R. Wood
- Genetics of Complex Traits Group, University of Exeter Medical School, RILD Level 3, Royal Devon and Exeter Hospital, Exeter, EX2 5DW, UK
| | - Rachel M. Freathy
- Genetics of Complex Traits Group, University of Exeter Medical School, RILD Level 3, Royal Devon and Exeter Hospital, Exeter, EX2 5DW, UK
| | - Anna Murray
- Genetics of Complex Traits Group, University of Exeter Medical School, RILD Level 3, Royal Devon and Exeter Hospital, Exeter, EX2 5DW, UK
| | - Michael N. Weedon
- Genetics of Complex Traits Group, University of Exeter Medical School, RILD Level 3, Royal Devon and Exeter Hospital, Exeter, EX2 5DW, UK
| | - Luting Xue
- School of Public Health, Department of Biostatistics, Boston University, Boston, MA 02215, USA
| | - Kathryn Lunetta
- School of Public Health, Department of Biostatistics, Boston University, Boston, MA 02215, USA
- The Framingham Heart Study, Framingham, MA 01702, USA
| | - Joanne M. Murabito
- The Framingham Heart Study, Framingham, MA 01702, USA
- Section of General Internal Medicine, Department of Medicine, Boston University School of Medicine, Boston, MA 02118, USA
| | - Lorna W. Harries
- Institute of Biomedical and Clinical Sciences, University of Exeter Medical School, RILD Level 3, Royal Devon and Exeter Hospital, Exeter, EX2 5DW, UK
| | - Jean-Marie Robine
- Institut National de la Santé et de la Recherche Médicale (INSERM U1198), 34394 Montpellier, France
- Ecole Pratique des Hautes études (EPHE), 75014 Paris, France
| | - Carol Brayne
- Cambridge Institute of Public Health, School of Clinical Medicine, University of Cambridge, Cambridge, CB2 0SR, UK
| | - George A. Kuchel
- Center on Aging, University of Connecticut, Farmington, CT 06030, USA
| | | | - Timothy M. Frayling
- Genetics of Complex Traits Group, University of Exeter Medical School, RILD Level 3, Royal Devon and Exeter Hospital, Exeter, EX2 5DW, UK
| | - David Melzer
- Epidemiology and Public Health Group, University of Exeter Medical School, RILD Level 3, Royal Devon and Exeter Hospital, Exeter, EX2 5DW, UK
- Center on Aging, University of Connecticut, Farmington, CT 06030, USA
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16
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Fortney K, Dobriban E, Garagnani P, Pirazzini C, Monti D, Mari D, Atzmon G, Barzilai N, Franceschi C, Owen AB, Kim SK. Genome-Wide Scan Informed by Age-Related Disease Identifies Loci for Exceptional Human Longevity. PLoS Genet 2015; 11:e1005728. [PMID: 26677855 PMCID: PMC4683064 DOI: 10.1371/journal.pgen.1005728] [Citation(s) in RCA: 96] [Impact Index Per Article: 10.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/10/2015] [Accepted: 11/16/2015] [Indexed: 11/20/2022] Open
Abstract
We developed a new statistical framework to find genetic variants associated with extreme longevity. The method, informed GWAS (iGWAS), takes advantage of knowledge from large studies of age-related disease in order to narrow the search for SNPs associated with longevity. To gain support for our approach, we first show there is an overlap between loci involved in disease and loci associated with extreme longevity. These results indicate that several disease variants may be depleted in centenarians versus the general population. Next, we used iGWAS to harness information from 14 meta-analyses of disease and trait GWAS to identify longevity loci in two studies of long-lived humans. In a standard GWAS analysis, only one locus in these studies is significant (APOE/TOMM40) when controlling the false discovery rate (FDR) at 10%. With iGWAS, we identify eight genetic loci to associate significantly with exceptional human longevity at FDR < 10%. We followed up the eight lead SNPs in independent cohorts, and found replication evidence of four loci and suggestive evidence for one more with exceptional longevity. The loci that replicated (FDR < 5%) included APOE/TOMM40 (associated with Alzheimer’s disease), CDKN2B/ANRIL (implicated in the regulation of cellular senescence), ABO (tags the O blood group), and SH2B3/ATXN2 (a signaling gene that extends lifespan in Drosophila and a gene involved in neurological disease). Our results implicate new loci in longevity and reveal a genetic overlap between longevity and age-related diseases and traits, including coronary artery disease and Alzheimer’s disease. iGWAS provides a new analytical strategy for uncovering SNPs that influence extreme longevity, and can be applied more broadly to boost power in other studies of complex phenotypes. Longevity is a complex phenotype, and few genetic variants that affect lifespan have been identified. However, aging and disease are closely related, and a great deal is known about the genetic basis of disease risk. Here, we show using genome-wide association studies (GWAS) of longevity and disease that there is an overlap between loci involved in longevity and loci involved in several diseases, such as Alzheimer’s disease and coronary artery disease. We then develop a new statistical framework to find genetic variants associated with extreme longevity. The method, informed GWAS (iGWAS), takes advantage of knowledge from 14 large studies of disease and disease-related traits in order to narrow the search for SNPs associated with longevity. Using iGWAS, we found eight SNPs that are significant in our discovery cohorts, and we were able to validate four of these in replication studies of long-lived subjects. Our results implicate new loci in longevity and reveal a genetic overlap between longevity and age-related diseases and traits. Beyond the study of human longevity, iGWAS can be applied to boost statistical power in any GWAS of a target phenotype by using larger GWAS of genetically-related conditions.
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Affiliation(s)
- Kristen Fortney
- Department of Developmental Biology, Stanford University, Stanford, California, United States of America
- Department of Genetics, Stanford University, Stanford, California, United States of America
| | - Edgar Dobriban
- Department of Statistics, Stanford University, Stanford, California, United States of America
| | - Paolo Garagnani
- Department of Experimental, Diagnostic and Specialty Medicine Experimental Pathology, University of Bologna, Bologna, Italy
- Center for Applied Biomedical Research, St. Orsola-Malpighi University Hospital, Bologna, Italy
| | - Chiara Pirazzini
- Department of Experimental, Diagnostic and Specialty Medicine Experimental Pathology, University of Bologna, Bologna, Italy
- Interdepartmental Centre "L. Galvani" CIG, University of Bologna, Bologna, Italy
| | - Daniela Monti
- Department of Clinical, Experimental and Biomedical Sciences, University of Florence, Florence, Italy
| | - Daniela Mari
- Department of Medical Sciences, University of Milan, Milan, Italy
- Geriatric Unit, IRCCS Ca' Grande Foundation, Maggiore Policlinico Hospital, Milan, Italy
| | - Gil Atzmon
- Department of Genetics, Albert Einstein College of Medicine, Bronx, New York, United States of America
| | - Nir Barzilai
- Department of Genetics, Albert Einstein College of Medicine, Bronx, New York, United States of America
| | - Claudio Franceschi
- Department of Experimental, Diagnostic and Specialty Medicine Experimental Pathology, University of Bologna, Bologna, Italy
- IRCCS, Institute of Neurological Sciences of Bologna, Bologna, Italy
| | - Art B. Owen
- Department of Statistics, Stanford University, Stanford, California, United States of America
| | - Stuart K. Kim
- Department of Developmental Biology, Stanford University, Stanford, California, United States of America
- Department of Genetics, Stanford University, Stanford, California, United States of America
- * E-mail:
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