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Common and rare variant associations with clonal haematopoiesis phenotypes. Nature 2022; 612:301-309. [PMID: 36450978 PMCID: PMC9713173 DOI: 10.1038/s41586-022-05448-9] [Citation(s) in RCA: 78] [Impact Index Per Article: 39.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/23/2021] [Accepted: 10/14/2022] [Indexed: 12/02/2022]
Abstract
Clonal haematopoiesis involves the expansion of certain blood cell lineages and has been associated with ageing and adverse health outcomes1-5. Here we use exome sequence data on 628,388 individuals to identify 40,208 carriers of clonal haematopoiesis of indeterminate potential (CHIP). Using genome-wide and exome-wide association analyses, we identify 24 loci (21 of which are novel) where germline genetic variation influences predisposition to CHIP, including missense variants in the lymphocytic antigen coding gene LY75, which are associated with reduced incidence of CHIP. We also identify novel rare variant associations with clonal haematopoiesis and telomere length. Analysis of 5,041 health traits from the UK Biobank (UKB) found relationships between CHIP and severe COVID-19 outcomes, cardiovascular disease, haematologic traits, malignancy, smoking, obesity, infection and all-cause mortality. Longitudinal and Mendelian randomization analyses revealed that CHIP is associated with solid cancers, including non-melanoma skin cancer and lung cancer, and that CHIP linked to DNMT3A is associated with the subsequent development of myeloid but not lymphoid leukaemias. Additionally, contrary to previous findings from the initial 50,000 UKB exomes6, our results in the full sample do not support a role for IL-6 inhibition in reducing the risk of cardiovascular disease among CHIP carriers. Our findings demonstrate that CHIP represents a complex set of heterogeneous phenotypes with shared and unique germline genetic causes and varied clinical implications.
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He D, Meng P, Li C, Jia Y, Wen Y, Pan C, Zhang Z, Zhang J, Zhang H, Chen Y, Zhao Y, Qin X, Cai Q, Wei W, Shi S, Chu X, Zhang N, Zhang F. Association between telomere length and insomnia: A mendelian randomization and colocalization study. Sleep Med 2022; 100:304-310. [PMID: 36182724 DOI: 10.1016/j.sleep.2022.09.002] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/19/2022] [Revised: 08/09/2022] [Accepted: 09/06/2022] [Indexed: 01/12/2023]
Abstract
BACKGROUND Previous studies have suggested a potential association between sleep and telomere length (TL), but its genetic basis remains unclear. In this study, we aimed to explore the genetic correlation and potential causal association between TL and insomnia. METHODS The genome-wide association study (GWAS) datasets of TL and insomnia-related traits were used, including insomnia, snoring, daytime dozing and napping. Based on the polygenic risk scores (PRS) of TL, linear regression and linkage disequilibrium score (LDSC) regression were used to preliminarily explore the association between TL and insomnia parameters in the UK Biobank cohort. Then, we investigated the causal association between TL and insomnia by mendelian randomization (MR) analysis and colocalization analysis. RESULTS In the UK Biobank cohort, the association between TL and insomnia was observed in the female samples (t = 2.968, P = 3.00 × 10-3). LDSC detected a genetic correlation between short TL and insomnia (Rg = -9.27 × 10-2, P = 8.00 × 10-4). We found no evidence supporting significant causal association between insomnia and TL in IVW method (b = -5.95 × 10-3, P = 0.57), with horizontal pleiotropy and heterogeneity tests indicating the validity of our MR study. Finally, rs12638862 was classified as colocalized by COLOC (PP4 = 0.99), and TERC may be involved in regulating the association between insomnia and TL. CONCLUSIONS Our study found no evidence for causal association between insomnia and TL in individuals of European ancestry. We detected a candidate gene associated with both insomnia and TL, providing novel clues for understanding the roles of this association.
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Affiliation(s)
- Dan He
- Key Laboratory of Trace Elements and Endemic Diseases, National Health and Family Planning Commission, School of Public Health, Health Science Center, Xi'an Jiaotong University, Xi'an, China
| | - Peilin Meng
- Key Laboratory of Trace Elements and Endemic Diseases, National Health and Family Planning Commission, School of Public Health, Health Science Center, Xi'an Jiaotong University, Xi'an, China
| | - Chun'e Li
- Key Laboratory of Trace Elements and Endemic Diseases, National Health and Family Planning Commission, School of Public Health, Health Science Center, Xi'an Jiaotong University, Xi'an, China
| | - Yumeng Jia
- Key Laboratory of Trace Elements and Endemic Diseases, National Health and Family Planning Commission, School of Public Health, Health Science Center, Xi'an Jiaotong University, Xi'an, China
| | - Yan Wen
- Key Laboratory of Trace Elements and Endemic Diseases, National Health and Family Planning Commission, School of Public Health, Health Science Center, Xi'an Jiaotong University, Xi'an, China
| | - Chuyu Pan
- Key Laboratory of Trace Elements and Endemic Diseases, National Health and Family Planning Commission, School of Public Health, Health Science Center, Xi'an Jiaotong University, Xi'an, China
| | - Zhen Zhang
- Key Laboratory of Trace Elements and Endemic Diseases, National Health and Family Planning Commission, School of Public Health, Health Science Center, Xi'an Jiaotong University, Xi'an, China
| | - Jingxi Zhang
- Key Laboratory of Trace Elements and Endemic Diseases, National Health and Family Planning Commission, School of Public Health, Health Science Center, Xi'an Jiaotong University, Xi'an, China
| | - Huijie Zhang
- Key Laboratory of Trace Elements and Endemic Diseases, National Health and Family Planning Commission, School of Public Health, Health Science Center, Xi'an Jiaotong University, Xi'an, China
| | - Yujing Chen
- Key Laboratory of Trace Elements and Endemic Diseases, National Health and Family Planning Commission, School of Public Health, Health Science Center, Xi'an Jiaotong University, Xi'an, China
| | - Yijing Zhao
- Key Laboratory of Trace Elements and Endemic Diseases, National Health and Family Planning Commission, School of Public Health, Health Science Center, Xi'an Jiaotong University, Xi'an, China
| | - Xiaoyue Qin
- Key Laboratory of Trace Elements and Endemic Diseases, National Health and Family Planning Commission, School of Public Health, Health Science Center, Xi'an Jiaotong University, Xi'an, China
| | - Qingqing Cai
- Key Laboratory of Trace Elements and Endemic Diseases, National Health and Family Planning Commission, School of Public Health, Health Science Center, Xi'an Jiaotong University, Xi'an, China
| | - Wenming Wei
- Key Laboratory of Trace Elements and Endemic Diseases, National Health and Family Planning Commission, School of Public Health, Health Science Center, Xi'an Jiaotong University, Xi'an, China
| | - Sirong Shi
- Key Laboratory of Trace Elements and Endemic Diseases, National Health and Family Planning Commission, School of Public Health, Health Science Center, Xi'an Jiaotong University, Xi'an, China
| | - Xiaoge Chu
- Key Laboratory of Trace Elements and Endemic Diseases, National Health and Family Planning Commission, School of Public Health, Health Science Center, Xi'an Jiaotong University, Xi'an, China
| | - Na Zhang
- Key Laboratory of Trace Elements and Endemic Diseases, National Health and Family Planning Commission, School of Public Health, Health Science Center, Xi'an Jiaotong University, Xi'an, China
| | - Feng Zhang
- Key Laboratory of Trace Elements and Endemic Diseases, National Health and Family Planning Commission, School of Public Health, Health Science Center, Xi'an Jiaotong University, Xi'an, China.
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Strandberg TE, Kivimäki M. Comment on: "What Is Aging-Related Disease? An Epidemiological Perspective" by Le Couteur and Thillainadesan. J Gerontol A Biol Sci Med Sci 2022; 77:2175-2176. [PMID: 35323943 PMCID: PMC9678188 DOI: 10.1093/gerona/glac072] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Affiliation(s)
- Timo E Strandberg
- Address correspondence to: Timo Strandberg, MD, PhD, University of Helsinki, Helsinki University Hospital, PO Box 340, FI-00029 HUS, Helsinki, Finland. E-mail:
| | - Mika Kivimäki
- University of Helsinki, Helsinki University Hospital, Helsinki, Finland
- Department of Epidemiology and Public Health, University College London, London, UK
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104
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Genetically predicted telomere length and Alzheimer’s disease endophenotypes: a Mendelian randomization study. Alzheimers Res Ther 2022; 14:167. [PMID: 36345036 PMCID: PMC9641781 DOI: 10.1186/s13195-022-01101-9] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/02/2022] [Accepted: 10/16/2022] [Indexed: 11/09/2022]
Abstract
Telomere length (TL) is associated with biological aging, consequently influencing the risk of age-related diseases such as Alzheimer’s disease (AD). We aimed to evaluate the potential causal role of TL in AD endophenotypes (i.e., cognitive performance, N = 2233; brain age and AD-related signatures, N = 1134; and cerebrospinal fluid biomarkers (CSF) of AD and neurodegeneration, N = 304) through a Mendelian randomization (MR) analysis. Our analysis was conducted in the context of the ALFA (ALzheimer and FAmilies) study, a population of cognitively healthy individuals at risk of AD. A total of 20 single nucleotide polymorphisms associated with TL were used to determine the effect of TL on AD endophenotypes. Analyses were adjusted by age, sex, and years of education. Stratified analyses by APOE-ɛ4 status and polygenic risk score of AD were conducted. MR analysis revealed significant associations between genetically predicted longer TL and lower levels of CSF Aβ and higher levels of CSF NfL only in APOE-ɛ4 non-carriers. Moreover, inheriting longer TL was associated with greater cortical thickness in age and AD-related brain signatures and lower levels of CSF p-tau among individuals at a high genetic predisposition to AD. Further observational analyses are warranted to better understand these associations.
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105
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Hofmeister RJ, Rubinacci S, Ribeiro DM, Buil A, Kutalik Z, Delaneau O. Parent-of-Origin inference for biobanks. Nat Commun 2022; 13:6668. [PMID: 36335127 PMCID: PMC9637181 DOI: 10.1038/s41467-022-34383-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/18/2022] [Accepted: 10/24/2022] [Indexed: 11/06/2022] Open
Abstract
Identical genetic variations can have different phenotypic effects depending on their parent of origin. Yet, studies focusing on parent-of-origin effects have been limited in terms of sample size due to the lack of parental genomes or known genealogies. We propose a probabilistic approach to infer the parent-of-origin of individual alleles that does not require parental genomes nor prior knowledge of genealogy. Our model uses Identity-By-Descent sharing with second- and third-degree relatives to assign alleles to parental groups and leverages chromosome X data in males to distinguish maternal from paternal groups. We combine this with robust haplotype inference and haploid imputation to infer the parent-of-origin for 26,393 UK Biobank individuals. We screen 99 phenotypes for parent-of-origin effects and replicate the discoveries of 6 GWAS studies, confirming signals on body mass index, type 2 diabetes, standing height and multiple blood biomarkers, including the known maternal effect at the MEG3/DLK1 locus on platelet phenotypes. We also report a novel maternal effect at the TERT gene on telomere length, thereby providing new insights on the heritability of this phenotype. All our summary statistics are publicly available to help the community to better characterize the molecular mechanisms leading to parent-of-origin effects and their implications for human health.
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Affiliation(s)
- Robin J Hofmeister
- Department of Computational Biology, University of Lausanne, Lausanne, Switzerland.,Swiss Institute of Bioinformatics (SIB), Lausanne, Switzerland
| | - Simone Rubinacci
- Department of Computational Biology, University of Lausanne, Lausanne, Switzerland.,Swiss Institute of Bioinformatics (SIB), Lausanne, Switzerland
| | - Diogo M Ribeiro
- Department of Computational Biology, University of Lausanne, Lausanne, Switzerland.,Swiss Institute of Bioinformatics (SIB), Lausanne, Switzerland
| | - Alfonso Buil
- Institute of Biological Psychiatry, Mental Health Services, Copenhagen University Hospital, Copenhagen, Denmark.,Lundbeck Foundation GeoGenetics Centre, GLOBE Institute, University of Copenhagen, Copenhagen, Denmark
| | - Zoltán Kutalik
- Department of Computational Biology, University of Lausanne, Lausanne, Switzerland.,Swiss Institute of Bioinformatics (SIB), Lausanne, Switzerland.,University Center for Primary Care and Public Health, University of Lausanne, Lausanne, Switzerland
| | - Olivier Delaneau
- Department of Computational Biology, University of Lausanne, Lausanne, Switzerland. .,Swiss Institute of Bioinformatics (SIB), Lausanne, Switzerland.
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106
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Huang D, Lin S, He J, Wang Q, Zhan Y. Association between COVID-19 and telomere length: A bidirectional Mendelian randomization study. J Med Virol 2022; 94:5345-5353. [PMID: 35854470 PMCID: PMC9349767 DOI: 10.1002/jmv.28008] [Citation(s) in RCA: 36] [Impact Index Per Article: 18.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/17/2022] [Revised: 07/03/2022] [Accepted: 07/18/2022] [Indexed: 12/15/2022]
Abstract
Several traditional observational studies suggested an association between COVID-19 and leukocyte telomere length (LTL), a biomarker for biological age. However, whether there was a causal association between them remained unclear. We aimed to investigate whether genetically predicted COVID-19 is related to the risk of LTL, and vice versa. We performed bidirectional Mendelian randomization (MR) study using summary statistics from the genome-wide association studies of critically ill COVID-19 (n = 1 388 342) and LTL (n = 472 174) of European ancestry. The random-effects inverse-variance weighted estimation method was applied as the primary method with several other estimators as complementary methods. Using six single-nucleotide polymorphisms (SNPs) of genome-wide significance as instrumental variables for critically ill COVID-19, we did not find a significant association of COVID-19 on LTL (β = 0.0075, 95% confidence interval [CI]: -0.018 to 0.021, p = 0.733). Likewise, using 97 SNPs of genome-wide significance as instrumental variables for LTL, we did not find a significant association of LTL on COVID-19 (odds ratio = 1.00, 95% CI: 0.79-1.28, p = 0.973). Comparable results were obtained using MR-Egger regression, weighted median, and weighted mode approaches. We did not find evidence to support a causal association between COVID-19 and LTL in either direction.
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Affiliation(s)
- Danqi Huang
- Department of Epidemiology, School of Public Health (Shenzhen)Sun Yat‐Sen UniversityShenzhenChina
| | - Siqi Lin
- Department of Epidemiology, School of Public Health (Shenzhen)Sun Yat‐Sen UniversityShenzhenChina
| | - Junting He
- Department of Epidemiology, School of Public Health (Shenzhen)Sun Yat‐Sen UniversityShenzhenChina
| | - Qi Wang
- Department of Epidemiology and Health Statistics, School of Public Health, Tongji Medical SchoolHuazhong University of Science and TechnologyWuhanChina
| | - Yiqiang Zhan
- Department of Epidemiology, School of Public Health (Shenzhen)Sun Yat‐Sen UniversityShenzhenChina
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107
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Pölönen J, Pinola P, Ronkainen J, Blakemore AI, Buxton JL, Tapanainen JS, Franks S, Piltonen TT, Sebert S, Morin-Papunen L. Polycystic ovary syndrome and leukocyte telomere length: cross-sectional and longitudinal changes. Eur J Endocrinol 2022; 187:651-661. [PMID: 36074951 PMCID: PMC9578080 DOI: 10.1530/eje-22-0462] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/28/2022] [Accepted: 09/08/2022] [Indexed: 11/25/2022]
Abstract
OBJECTIVE Telomeres are DNA-protein complexes that protect chromosome ends from DNA damage and are surrogate biomarkers of cellular aging. Current evidence, almost entirely from cross-sectional observations, supports negative associations between leukocyte telomere length (LTL) and adverse lifestyle factors and cardiometabolic risk factors. Polycystic ovary syndrome (PCOS), the most common gynecological endocrine disorder, is associated with inflammation and oxidative stress, both factors associated with accelerated telomere attrition. We therefore hypothesized that LTL would be shorter and decrease more rapidly in women with PCOS in comparison to a control population. DESIGN This is a population-based cohort study comprising women of Northern Finland Birth Cohort 1966, with clinical examinations at ages 31 and 46. The sample included self-reported PCOS (age 31, n = 190; age 46, n = 207) and referent women (age 31, n = 1054; age 46, n = 1324) with data on LTL. METHODS The association between LTL and PCOS at ages 31 and 46 was analyzed by linear regression models adjusted for BMI, smoking, alcohol consumption and socioeconomic status at the corresponding age. RESULTS Women with PCOS had similar mean LTL at ages 31 and 46 (P > 0.4 for both). The mean LTL change between ages 31 and 46 did not differ between groups (P = 0.19). However, we observed a significant LTL attrition between ages 31 and 46 in the reference population (P < 0.001), but not in women with PCOS (P = 0.96). CONCLUSIONS This finding may suggest a difference in the LTL attrition rate in women with PCOS, an unexpected finding that might affect their risk of age-related disease. Further research is needed to clarify the underlying mechanisms.
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Affiliation(s)
- Johanna Pölönen
- Department of Obstetrics and Gynecology, University of Oulu and Oulu University Hospital, Medical Research Center, PEDEGO Research Unit, Oulu, Finland
| | - Pekka Pinola
- Department of Obstetrics and Gynecology, University of Oulu and Oulu University Hospital, Medical Research Center, PEDEGO Research Unit, Oulu, Finland
- Correspondence should be addressed to P Pinola or S Franks; or
| | - Justiina Ronkainen
- Center for Life Course Health Research, University of Oulu, Oulu, Finland
| | - Alex I Blakemore
- Department of Life Sciences, College of Health, Medicine and Life Sciences, Brunel University London, London, UK
- Department of Metabolism, Digestion and Reproduction, Imperial College London, London, UK
| | - Jessica L Buxton
- Department of Biomolecular Sciences, School of Life Sciences, Pharmacy and Chemistry, Kingston University London, London, UK
| | - Juha S Tapanainen
- Department of Obstetrics and Gynecology, University of Oulu and Oulu University Hospital, Medical Research Center, PEDEGO Research Unit, Oulu, Finland
- Department of Metabolism, Digestion and Reproduction, Institute of Reproductive and Developmental Biology, Imperial College London, London, UK
| | - Stephen Franks
- Department of Metabolism, Digestion and Reproduction, Institute of Reproductive and Developmental Biology, Imperial College London, London, UK
- Correspondence should be addressed to P Pinola or S Franks; or
| | - Terhi T Piltonen
- Department of Obstetrics and Gynecology, University of Oulu and Oulu University Hospital, Medical Research Center, PEDEGO Research Unit, Oulu, Finland
| | - Sylvain Sebert
- Center for Life Course Health Research, University of Oulu, Oulu, Finland
| | - Laure Morin-Papunen
- Department of Obstetrics and Gynecology, University of Oulu and Oulu University Hospital, Medical Research Center, PEDEGO Research Unit, Oulu, Finland
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108
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Wang C, Alfano R, Reimann B, Hogervorst J, Bustamante M, De Vivo I, Plusquin M, Nawrot TS, Martens DS. Genetic regulation of newborn telomere length is mediated and modified by DNA methylation. Front Genet 2022; 13:934277. [PMID: 36267401 PMCID: PMC9576874 DOI: 10.3389/fgene.2022.934277] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/02/2022] [Accepted: 09/06/2022] [Indexed: 11/23/2022] Open
Abstract
Telomere length at birth determines later life telomere length and potentially predicts ageing-related diseases. However, the genetic and epigenetic settings of telomere length in newborns have not been analyzed. In addition, no study yet has reported how the interplay between genetic variants and genome-wide cytosine methylation explains the variation in early-life telomere length. In this study based on 281 mother-newborn pairs from the ENVIRONAGE birth cohort, telomere length and whole-genome DNA methylation were assessed in cord blood and 26 candidate single nucleotide polymorphism related to ageing or telomere length were genotyped. We identified three genetic variants associated with cord blood telomere length and 57 cis methylation quantitative trait loci (cis-mQTLs) of which 22 mQTLs confirmed previous findings and 35 were newly identified. Five SNPs were found to have significant indirect effects on cord blood telomere length via the mediating CpGs. The association between rs911874 (SOD2) and newborn telomere length was modified by nearby DNA methylation indicated by a significant statistical interaction. Our results suggest that DNA methylation in cis might have a mediation or modification effect on the genetic difference in newborn telomere length. This novel approach warrants future follow-up studies that are needed to further confirm and extend these findings.
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Affiliation(s)
- Congrong Wang
- Centre for Environmental Sciences, Hasselt University, Hasselt, Belgium
| | - Rossella Alfano
- Centre for Environmental Sciences, Hasselt University, Hasselt, Belgium
| | - Brigitte Reimann
- Centre for Environmental Sciences, Hasselt University, Hasselt, Belgium
| | | | - Mariona Bustamante
- ISGlobal, Barcelona, Spain
- Universitat Pompeu Fabra, Barcelona, Spain
- CIBER de Epidemiología y Salud Pública, Madrid, Spain
- Center for Genomic Regulation, Barcelona Institute of Science and Technology, Barcelona, Spain
| | - Immaculata De Vivo
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA, United States
- Program in Genetic Epidemiology and Statistical Genetics, Harvard School of Public Health, Boston, MA, United States
| | - Michelle Plusquin
- Centre for Environmental Sciences, Hasselt University, Hasselt, Belgium
| | - Tim S. Nawrot
- Centre for Environmental Sciences, Hasselt University, Hasselt, Belgium
- Department of Public Health and Primary Care, Leuven University, Leuven, Belgium
| | - Dries S. Martens
- Centre for Environmental Sciences, Hasselt University, Hasselt, Belgium
- *Correspondence: Dries S. Martens,
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109
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Topiwala A, Taschler B, Ebmeier KP, Smith S, Zhou H, Levey DF, Codd V, Samani NJ, Gelernter J, Nichols TE, Burgess S. Alcohol consumption and telomere length: Mendelian randomization clarifies alcohol's effects. Mol Psychiatry 2022; 27:4001-4008. [PMID: 35879401 PMCID: PMC9718662 DOI: 10.1038/s41380-022-01690-9] [Citation(s) in RCA: 19] [Impact Index Per Article: 9.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/04/2021] [Revised: 06/23/2022] [Accepted: 06/29/2022] [Indexed: 02/07/2023]
Abstract
Alcohol's impact on telomere length, a proposed marker of biological aging, is unclear. We performed the largest observational study to date (in n = 245,354 UK Biobank participants) and compared findings with Mendelian randomization (MR) estimates. Two-sample MR used data from 472,174 participants in a recent genome-wide association study (GWAS) of telomere length. Genetic variants were selected on the basis of associations with alcohol consumption (n = 941,280) and alcohol use disorder (AUD) (n = 57,564 cases). Non-linear MR employed UK Biobank individual data. MR analyses suggested a causal relationship between alcohol traits, more strongly for AUD, and telomere length. Higher genetically-predicted AUD (inverse variance-weighted (IVW) β = -0.06, 95% confidence interval (CI): -0.10 to -0.02, p = 0.001) was associated with shorter telomere length. There was a weaker association with genetically-predicted alcoholic drinks weekly (IVW β = -0.07, CI: -0.14 to -0.01, p = 0.03). Results were consistent across methods and independent from smoking. Non-linear analyses indicated a potential threshold relationship between alcohol and telomere length. Our findings indicate that alcohol consumption may shorten telomere length. There are implications for age-related diseases.
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Affiliation(s)
- A Topiwala
- Nuffield Department Population Health, Big Data Institute, University of Oxford, Oxford, OX3 7LF, UK.
| | - B Taschler
- Wellcome Centre for Integrative Neuroimaging (WIN FMRIB), Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, OX3 9DU, UK
| | - K P Ebmeier
- Department of Psychiatry, University of Oxford, Warneford Hospital, Oxford, OX3 7JX, UK
| | - S Smith
- Wellcome Centre for Integrative Neuroimaging (WIN FMRIB), Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, OX3 9DU, UK
| | - H Zhou
- Department of Psychiatry, Yale University School of Medicine, New Haven, CT, USA
- Veterans Affairs Connecticut Healthcare System, West Haven, CT, USA
| | - D F Levey
- Department of Psychiatry, Yale University School of Medicine, New Haven, CT, USA
- Veterans Affairs Connecticut Healthcare System, West Haven, CT, USA
| | - V Codd
- Department of Cardiovascular Sciences, University of Leicester, Leicester, UK
- NIHR Leicester Biomedical Research Centre, Glenfield Hospital, Leicester, UK
| | - N J Samani
- Department of Cardiovascular Sciences, University of Leicester, Leicester, UK
- NIHR Leicester Biomedical Research Centre, Glenfield Hospital, Leicester, UK
| | - J Gelernter
- Department of Psychiatry, Yale University School of Medicine, New Haven, CT, USA
- Veterans Affairs Connecticut Healthcare System, West Haven, CT, USA
| | - T E Nichols
- Nuffield Department Population Health, Big Data Institute, University of Oxford, Oxford, OX3 7LF, UK
- Wellcome Centre for Integrative Neuroimaging (WIN FMRIB), Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, OX3 9DU, UK
| | - S Burgess
- MRC Biostatistics Unit, School of Clinical Medicine, University of Cambridge, Cambridge, CB2 0SR, UK
- Department of Public Health and Primary Care, School of Clinical Medicine, University of Cambridge, Cambridge, CB1 8RN, UK
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110
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Curtis EM, Codd V, Nelson C, D'Angelo S, Wang Q, Allara E, Kaptoge S, Matthews PM, Tobias JH, Danesh J, Cooper C, Samani NJ, Harvey NC. Telomere Length and Risk of Incident Fracture and Arthroplasty: Findings From UK Biobank. J Bone Miner Res 2022; 37:1997-2004. [PMID: 35880304 PMCID: PMC9826022 DOI: 10.1002/jbmr.4664] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/24/2021] [Revised: 07/12/2022] [Accepted: 07/20/2022] [Indexed: 01/11/2023]
Abstract
We investigated independent associations between telomere length and risk of fracture and arthroplasty in UK Biobank participants. Leukocyte telomere length (LTL) was measured in baseline samples using a validated polymerase chain reaction (PCR) method. We used, in men and women separately, Cox proportional hazards models to calculate the hazard ratio (HR) for incident fracture (any, osteoporotic) or arthroplasty (hip or knee) over 1,186,410 person-years of follow-up. Covariates included age, white cell count, ethnicity, smoking, alcohol, physical activity, and menopause (women). In further analyses we adjusted for either estimated bone mineral density (eBMD) from heel quantitative ultrasound, handgrip strength, gait speed, total fat mass (bioimpedance), or blood biomarkers, all measured at baseline (2006-2010). We studied 59,500 women and 51,895 men, mean ± standard deviation (SD) age 56.4 ± 8.0 and 57.0 ± 8.3 years, respectively. During follow-up there were 5619 fractures; 5285 hip and 4261 knee arthroplasties. In confounder-adjusted models, longer LTL was associated with reduced risk of incident knee arthroplasty in both men (HR/SD 0.93; 95% confidence interval [CI], 0.88-0.97) and women (0.92; 95% CI, 0.88-0.96), and hip arthroplasty in men (0.91; 95% CI, 0.87-0.95), but not women (0.98; 95% CI, 0.94-1.01). Longer LTL was weakly associated with reduced risk of any incident fracture in women (HR/SD 0.96; 95% CI, 0.93-1.00) with less evidence in men (0.98; 95% CI, 0.93-1.02). Associations with incident outcomes were not materially altered by adjustment for heel eBMD, grip strength, gait speed, fat mass, or blood biomarker measures. In this, the largest study to date, longer LTL was associated with lower risk of incident knee or hip arthroplasty, but only weakly associated with lower risk of fracture. The relative risks were low at a population level, but our findings suggest that common factors acting on the myeloid and musculoskeletal systems might influence later life musculoskeletal outcomes. © 2022 The Authors. Journal of Bone and Mineral Research published by Wiley Periodicals LLC on behalf of American Society for Bone and Mineral Research (ASBMR).
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Affiliation(s)
| | - Veryan Codd
- Department of Cardiovascular SciencesUniversity of LeicesterLeicesterUK
- NIHR Leicester Biomedical Research CentreGlenfield HospitalLeicesterUK
| | - Christopher Nelson
- Department of Cardiovascular SciencesUniversity of LeicesterLeicesterUK
- NIHR Leicester Biomedical Research CentreGlenfield HospitalLeicesterUK
| | - Stefania D'Angelo
- MRC Lifecourse Epidemiology CentreUniversity of SouthamptonSouthamptonUK
| | - Qingning Wang
- Department of Cardiovascular SciencesUniversity of LeicesterLeicesterUK
- NIHR Leicester Biomedical Research CentreGlenfield HospitalLeicesterUK
| | - Elias Allara
- British Heart Foundation Cardiovascular Epidemiology Unit, Department of Public Health and Primary CareUniversity of CambridgeCambridgeUK
- National Institute for Health Research Blood and Transplant Research Unit in Donor Health and GenomicsUniversity of CambridgeCambridgeUK
- British Heart Foundation Centre of Research ExcellenceUniversity of CambridgeCambridgeUK
| | - Stephen Kaptoge
- British Heart Foundation Cardiovascular Epidemiology Unit, Department of Public Health and Primary CareUniversity of CambridgeCambridgeUK
- National Institute for Health Research Blood and Transplant Research Unit in Donor Health and GenomicsUniversity of CambridgeCambridgeUK
- British Heart Foundation Centre of Research ExcellenceUniversity of CambridgeCambridgeUK
| | - Paul M. Matthews
- Department of Brain Sciences and UK Dementia Research Institute CentreImperial College LondonLondonUK
| | - Jonathan H. Tobias
- Musculoskeletal Research UnitUniversity of BristolBristolUK
- Medical Research Council Integrative Epidemiology UnitUniversity of BristolBristolUK
| | - John Danesh
- British Heart Foundation Cardiovascular Epidemiology Unit, Department of Public Health and Primary CareUniversity of CambridgeCambridgeUK
- National Institute for Health Research Blood and Transplant Research Unit in Donor Health and GenomicsUniversity of CambridgeCambridgeUK
- British Heart Foundation Centre of Research ExcellenceUniversity of CambridgeCambridgeUK
- Health Data Research UK CambridgeWellcome Genome Campus and University of CambridgeCambridgeUK
- Department of Human GeneticsWellcome Sanger InstituteHinxtonUK
| | - Cyrus Cooper
- MRC Lifecourse Epidemiology CentreUniversity of SouthamptonSouthamptonUK
- National Institute for Health and Care Research (NIHR) Southampton Biomedical Research CentreUniversity of Southampton and University Hospital Southampton NHS Foundation TrustSouthamptonUK
- National Institute for Health and Care Research (NIHR) Oxford Biomedical Research CentreUniversity of OxfordOxfordUK
| | - Nilesh J. Samani
- Department of Cardiovascular SciencesUniversity of LeicesterLeicesterUK
- NIHR Leicester Biomedical Research CentreGlenfield HospitalLeicesterUK
| | - Nicholas C. Harvey
- MRC Lifecourse Epidemiology CentreUniversity of SouthamptonSouthamptonUK
- National Institute for Health and Care Research (NIHR) Southampton Biomedical Research CentreUniversity of Southampton and University Hospital Southampton NHS Foundation TrustSouthamptonUK
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Batista LFZ, Dokal I, Parker R. Telomere biology disorders: time for moving towards the clinic? Trends Mol Med 2022; 28:882-891. [PMID: 36057525 PMCID: PMC9509473 DOI: 10.1016/j.molmed.2022.08.001] [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: 06/20/2022] [Revised: 07/29/2022] [Accepted: 08/01/2022] [Indexed: 11/19/2022]
Abstract
Telomere biology disorders (TBDs) are a group of rare diseases caused by mutations that impair telomere maintenance. Mutations that cause reduced levels of TERC/hTR, the telomerase RNA component, are found in most TBD patients and include loss-of-function mutations in hTR itself, in hTR-binding proteins [NOP10, NHP2, NAF1, ZCCHC8, and dyskerin (DKC1)], and in proteins required for hTR processing (PARN). These patients show diverse clinical presentations that most commonly include bone marrow failure (BMF)/aplastic anemia (AA), pulmonary fibrosis, and liver cirrhosis. There are no curative therapies for TBD patients. An understanding of hTR biogenesis, maturation, and degradation has identified pathways and pharmacological agents targeting the poly(A) polymerase PAPD5, which adds 3'-oligoadenosine tails to hTR to promote hTR degradation, and TGS1, which modifies the 5'-cap structure of hTR to enhance degradation, as possible therapeutic approaches. Critical next steps will be clinical trials to establish the effectiveness and potential side effects of these compounds in TBD patients.
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Affiliation(s)
- Luis F Z Batista
- Department of Medicine, Washington University in St. Louis, St. Louis, MO, USA; Center for Genome Integrity, Washington University in St. Louis, St. Louis, MO, USA; Center of Regenerative Medicine, Washington University in St. Louis, St. Louis, MO, USA.
| | - Inderjeet Dokal
- Centre for Genomics and Child Health, Blizard Institute, Barts and The London School of Medicine and Dentistry, Queen Mary University of London, London, UK.
| | - Roy Parker
- Department of Biochemistry and Biofrontiers Instiute, University of Colorado, Boulder, CO, USA; Department of Biochemistry, University of Colorado Boulder, Boulder, CO, USA; Howard Hughes Medical Institute, Chevy Chase, MD, USA.
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112
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The bullwhip effect, T-cell telomeres, and SARS-CoV-2. THE LANCET. HEALTHY LONGEVITY 2022; 3:e715-e721. [PMID: 36202131 PMCID: PMC9529217 DOI: 10.1016/s2666-7568(22)00190-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/16/2022] [Revised: 08/02/2022] [Accepted: 08/04/2022] [Indexed: 01/15/2023] Open
Abstract
Both myeloid cells, which contribute to innate immunity, and lymphoid cells, which dominate adaptive immunity, partake in defending against SARS-CoV-2. In response to the virus, the otherwise slow haematopoietic production supply chain quickly unleashes its preconfigured myeloid element, which largely resists a bullwhip-like effect. By contrast, the lymphoid element risks a bullwhip-like effect when it produces T cells and B cells that are specifically designed to clear the virus. As T-cell production is telomere-length dependent and telomeres shorten with age, older adults are at higher risk of a T-cell shortfall when contracting SARS-CoV-2 than are younger adults. A poorly calibrated adaptive immune response, stemming from a bullwhip-like effect, compounded by a T-cell deficit, might thus contribute to the propensity of people with inherently short T-cell telomeres to develop severe COVID-19. The immune systems of these individuals might also generate an inadequate T-cell response to anti-SARS-CoV-2 vaccination.
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113
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Veiko NN, Ershova ES, Veiko RV, Umriukhin PE, Kurmyshev MV, Kostyuk GP, Kutsev SI, Kostyuk SV. Mild cognitive impairment is associated with low copy number of ribosomal genes in the genomes of elderly people. Front Genet 2022; 13:967448. [PMID: 36199570 PMCID: PMC9527325 DOI: 10.3389/fgene.2022.967448] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/12/2022] [Accepted: 09/05/2022] [Indexed: 11/13/2022] Open
Abstract
Introduction: Mild cognitive impairments (MCI) accompanying aging are associated with oxidative stress. The ability of cells to respond to stress is determined by the protein synthesis level, which depends on the ribosomes number. Ribosomal deficit was documented in MCI. The number of ribosomes depends, together with other factors, on the number of ribosomal genes copies. We hypothesized that MCI is associated with low rDNA CN in the elderly person genome. Materials and Methods: rDNA CN and the telomere repeat (TR) content were determined in the DNA of peripheral blood leukocytes of 93 elderly people (61–91 years old) with MCI and 365 healthy volunteers (16–91 years old). The method of non-radioactive quantitative hybridization of DNA with biotinylated DNA probes was used for the analysis. Results: In the MCI group, rDNA CN (mean 329 ± 60; median 314 copies, n = 93) was significantly reduced (p < 10–15) compared to controls of the same age with preserved cognitive functions (mean 412 ± 79; median 401 copies, n = 168) and younger (16–60 years) control group (mean 426 ± 109; median 416 copies, n = 197). MCI is also associated with a decrease in TR DNA content. There is no correlation between the content of rDNA and TR in DNA, however, in the group of DNA samples with rDNA CN > 540, TR content range was significantly narrowed compared to the rest of the sample. Conclusion: Mild cognitive impairment is associated with low ribosomal genes copies in the elderly people genomes. A low level of rDNA CN may be one of the causes of ribosomal deficit that was documented in MCI. The potential possibilities of using the rDNA CN indicator as a prognostic marker characterizing human life expectancy are discussed.
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Affiliation(s)
| | - Elizaveta S. Ershova
- Research Centre for Medical Genetics (RCMG), Moscow, Russia
- Federal Research and Clinical Center of Intensive Care Medicine and Rehabilitology, V.A. Negovsky Research Institute of General Reanimatology, Moscow, Russia
- *Correspondence: Elizaveta S. Ershova,
| | - Roman V. Veiko
- Research Centre for Medical Genetics (RCMG), Moscow, Russia
| | - Pavel E. Umriukhin
- Research Centre for Medical Genetics (RCMG), Moscow, Russia
- I.M. Sechenov First Moscow State Medical University (Sechenov University), Moscow, Russia
- P.K. Anokhin Institute of Normal Physiology, Moscow, Russia
| | | | - Georg P. Kostyuk
- Mental-health Clinic No1 Named After N.A. Alexeev, Moscow, Russia
| | | | - Svetlana V. Kostyuk
- Research Centre for Medical Genetics (RCMG), Moscow, Russia
- Federal Research and Clinical Center of Intensive Care Medicine and Rehabilitology, V.A. Negovsky Research Institute of General Reanimatology, Moscow, Russia
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Saadatagah S, Ballantyne CM. Clonal hematopoiesis of indeterminate potential and cardiovascular disease. Transl Res 2022; 255:152-158. [PMID: 36067904 DOI: 10.1016/j.trsl.2022.08.013] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/03/2022] [Revised: 08/25/2022] [Accepted: 08/27/2022] [Indexed: 10/14/2022]
Abstract
Age is the most important risk factor for cardiovascular disease and appears to be more than a marker of cumulative exposure to other risk factors such as dyslipidemia and hypertension. With aging, genetic mutations occur that are not present in our germline DNA, observed as somatic mosaicism. Hematopoietic stem cells have an increased chance of developing mosaicism because they are highly proliferative, and mutations with survival benefits can establish clonal populations. Age-related clonal hematopoiesis resulting from somatic mutations was first described ∼25 years ago. The subset of clonal hematopoiesis in which a driver mutation with variant allele frequency of at least 2% occurs in a gene implicated in hematologic malignancies but in the absence of known hematologic malignancy or other clonal disorder is termed clonal hematopoiesis of indeterminate potential (CHIP). Large-scale exome-sequencing projects have recently enabled the study of CHIP frequency, gene-specific analyses, and longitudinal clinical consequences of CHIP, including an observed increased risk for cardiovascular disease. Animal models provide insight into the mechanisms by which CHIP increases cardiovascular disease risk, and combined animal, clinical, and epidemiological data suggest therapeutic implications for CHIP in cardiovascular disease prevention.
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Affiliation(s)
- Seyedmohammad Saadatagah
- Department of Medicine, Baylor College of Medicine, Houston, Texas; Center for Translational Research on Inflammatory Diseases, Baylor College of Medicine, Houston, Texas
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Abstract
Telomere biology was first studied in maize, ciliates, yeast, and mice, and in recent decades, it has informed understanding of common disease mechanisms with broad implications for patient care. Short telomere syndromes are the most prevalent premature aging disorders, with prominent phenotypes affecting the lung and hematopoietic system. Less understood are a newly recognized group of cancer-prone syndromes that are associated with mutations that lengthen telomeres. A large body of new data from Mendelian genetics and epidemiology now provides an opportunity to reconsider paradigms related to the role of telomeres in human aging and cancer, and in some cases, the findings diverge from what was interpreted from model systems. For example, short telomeres have been considered potent drivers of genome instability, but age-associated solid tumors are rare in individuals with short telomere syndromes, and T cell immunodeficiency explains their spectrum. More commonly, short telomeres promote clonal hematopoiesis, including somatic reversion, providing a new leukemogenesis paradigm that is independent of genome instability. Long telomeres, on the other hand, which extend the cellular life span in vitro, are now appreciated to be the most common shared germline risk factor for cancer in population studies. Through this contemporary lens, I revisit here the role of telomeres in human aging, focusing on how short and long telomeres drive cancer evolution but through distinct mechanisms.
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Affiliation(s)
- Mary Armanios
- Departments of Oncology, Genetic Medicine, Pathology, and Molecular Biology and Genetics; Telomere Center at Johns Hopkins; and Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA;
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116
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Reimann B, Martens DS, Wang C, Ghantous A, Herceg Z, Plusquin M, Nawrot TS. Interrelationships and determinants of aging biomarkers in cord blood. J Transl Med 2022; 20:353. [PMID: 35945616 PMCID: PMC9361565 DOI: 10.1186/s12967-022-03541-1] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/12/2022] [Accepted: 07/17/2022] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND Increasing evidence supports the concept of prenatal programming as an early factor in the aging process. DNA methylation age (DNAm age), global genome-wide DNA methylation (global methylation), telomere length (TL), and mitochondrial DNA content (mtDNA content) have independently been shown to be markers of aging, but their interrelationship and determinants at birth remain uncertain. METHODS We assessed the inter-correlation between the aging biomarkers DNAm age, global methylation, TL and mtDNA content using Pearson's correlation in 190 cord blood samples of the ENVIRONAGE birth cohort. TL and mtDNA content was measured via qPCR, while the DNA methylome was determined using the human 450K methylation Illumina microarray. Subsequently, DNAm age was calculated according to Horvath's epigenetic clock, and mean global, promoter, gene-body, and intergenic DNA methylation were determined. Path analysis, a form of structural equation modeling, was performed to disentangle the complex causal relationships among the aging biomarkers and their potential determinants. RESULTS DNAm age was inversely correlated with global methylation (r = -0.64, p < 0.001) and mtDNA content (r = - 0.16, p = 0.027). Cord blood TL was correlated with mtDNA content (r = 0.26, p < 0.001) but not with global methylation or DNAm age. Path analysis showed the strongest effect for global methylation on DNAm age with a decrease of 0.64 standard deviations (SD) in DNAm age for each SD (0.01%) increase in global methylation (p < 0.001). Among the applied covariates, newborn sex and season of delivery were the strongest determinants of aging biomarkers. CONCLUSIONS We provide insight into molecular aging signatures at the start of life, including their interrelations and determinants, showing that cord blood DNAm age is inversely associated with global methylation and mtDNA content but not with newborn telomere length. Our findings demonstrate that cord blood TL and DNAm age relate to different pathways/mechanisms of biological aging and can be influenced by environmental factors already at the start of life. These findings are relevant for understanding fetal programming and for the early prevention of noncommunicable diseases.
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Affiliation(s)
- Brigitte Reimann
- Centre for Environmental Sciences, Hasselt University, Hasselt, Belgium
| | - Dries S Martens
- Centre for Environmental Sciences, Hasselt University, Hasselt, Belgium
| | - Congrong Wang
- Centre for Environmental Sciences, Hasselt University, Hasselt, Belgium
| | - Akram Ghantous
- Epigenomics and Mechanisms Branch, International Agency for Research On Cancer (IARC), Lyon, France
| | - Zdenko Herceg
- Epigenomics and Mechanisms Branch, International Agency for Research On Cancer (IARC), Lyon, France
| | - Michelle Plusquin
- Centre for Environmental Sciences, Hasselt University, Hasselt, Belgium.
| | - Tim S Nawrot
- Centre for Environmental Sciences, Hasselt University, Hasselt, Belgium
- School of Public Health, Occupational and Environmental Medicine, KU Leuven, Leuven, Belgium
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117
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Tummala H, Walne A, Buccafusca R, Alnajar J, Szabo A, Robinson P, McConkie-Rosell A, Wilson M, Crowley S, Kinsler V, Ewins AM, Madapura PM, Patel M, Pontikos N, Codd V, Vulliamy T, Dokal I. Germline thymidylate synthase deficiency impacts nucleotide metabolism and causes dyskeratosis congenita. Am J Hum Genet 2022; 109:1472-1483. [PMID: 35931051 PMCID: PMC9388389 DOI: 10.1016/j.ajhg.2022.06.014] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/28/2022] [Accepted: 06/23/2022] [Indexed: 11/19/2022] Open
Abstract
Dyskeratosis congenita (DC) is an inherited bone-marrow-failure disorder characterized by a triad of mucocutaneous features that include abnormal skin pigmentation, nail dystrophy, and oral leucoplakia. Despite the identification of several genetic variants that cause DC, a significant proportion of probands remain without a molecular diagnosis. In a cohort of eight independent DC-affected families, we have identified a remarkable series of heterozygous germline variants in the gene encoding thymidylate synthase (TYMS). Although the inheritance appeared to be autosomal recessive, one parent in each family had a wild-type TYMS coding sequence. Targeted genomic sequencing identified a specific haplotype and rare variants in the naturally occurring TYMS antisense regulator ENOSF1 (enolase super family 1) inherited from the other parent. Lymphoblastoid cells from affected probands have severe TYMS deficiency, altered cellular deoxyribonucleotide triphosphate pools, and hypersensitivity to the TYMS-specific inhibitor 5-fluorouracil. These defects in the nucleotide metabolism pathway resulted in genotoxic stress, defective transcription, and abnormal telomere maintenance. Gene-rescue studies in cells from affected probands revealed that post-transcriptional epistatic silencing of TYMS is occurring via elevated ENOSF1. These cell and molecular abnormalities generated by the combination of germline digenic variants at the TYMS-ENOSF1 locus represent a unique pathogenetic pathway for DC causation in these affected individuals, whereas the parents who are carriers of either of these variants in a singular fashion remain unaffected.
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Affiliation(s)
- Hemanth Tummala
- Genomics and Child Health, Blizard Institute, Queen Mary University of London, Newark Street, London E1 2AT, UK.
| | - Amanda Walne
- Genomics and Child Health, Blizard Institute, Queen Mary University of London, Newark Street, London E1 2AT, UK
| | - Roberto Buccafusca
- School of Physical and Chemical Sciences, Queen Mary University of London, Mile End, London E1 4NS, UK
| | - Jenna Alnajar
- Genomics and Child Health, Blizard Institute, Queen Mary University of London, Newark Street, London E1 2AT, UK
| | - Anita Szabo
- Institute of Ophthalmology, Faculty of Brain Sciences, University College London, 11-43 Bath St, London EC1V 9EL, UK
| | - Peter Robinson
- The Jackson Laboratory for Genomic Medicine, 10 Discovery Dr., Farmington, CT 06032, USA
| | | | - Meredith Wilson
- Department of Clinical Genetics, The Children's Hospital at Westmead, Sydney, Australia
| | - Suzanne Crowley
- Department of Paediatrics, St George's Healthcare NHS Trust, London, UK
| | - Veronica Kinsler
- Department of Paediatric Dermatology, Great Ormond Street Hospital, The Francis Crick Institute, London, UK
| | - Anna-Maria Ewins
- Haematology/Oncology Department, Royal Hospital for Sick Children, Glasgow, UK
| | - Pradeepa M Madapura
- Genomics and Child Health, Blizard Institute, Queen Mary University of London, Newark Street, London E1 2AT, UK
| | - Manthan Patel
- Genomics and Child Health, Blizard Institute, Queen Mary University of London, Newark Street, London E1 2AT, UK
| | - Nikolas Pontikos
- Institute of Ophthalmology, Faculty of Brain Sciences, University College London, 11-43 Bath St, London EC1V 9EL, UK
| | - Veryan Codd
- Department of Cardiovascular Sciences, University of Leicester, Leicester, UK
| | - Tom Vulliamy
- Genomics and Child Health, Blizard Institute, Queen Mary University of London, Newark Street, London E1 2AT, UK
| | - Inderjeet Dokal
- Genomics and Child Health, Blizard Institute, Queen Mary University of London, Newark Street, London E1 2AT, UK; Barts Health NHS Trust, London, UK
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Kar SP, Quiros PM, Gu M, Jiang T, Mitchell J, Langdon R, Iyer V, Barcena C, Vijayabaskar MS, Fabre MA, Carter P, Petrovski S, Burgess S, Vassiliou GS. Genome-wide analyses of 200,453 individuals yield new insights into the causes and consequences of clonal hematopoiesis. Nat Genet 2022; 54:1155-1166. [PMID: 35835912 PMCID: PMC9355874 DOI: 10.1038/s41588-022-01121-z] [Citation(s) in RCA: 104] [Impact Index Per Article: 52.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/19/2021] [Accepted: 06/06/2022] [Indexed: 12/14/2022]
Abstract
Clonal hematopoiesis (CH), the clonal expansion of a blood stem cell and its progeny driven by somatic driver mutations, affects over a third of people, yet remains poorly understood. Here we analyze genetic data from 200,453 UK Biobank participants to map the landscape of inherited predisposition to CH, increasing the number of germline associations with CH in European-ancestry populations from 4 to 14. Genes at new loci implicate DNA damage repair (PARP1, ATM, CHEK2), hematopoietic stem cell migration/homing (CD164) and myeloid oncogenesis (SETBP1). Several associations were CH-subtype-specific including variants at TCL1A and CD164 that had opposite associations with DNMT3A- versus TET2-mutant CH, the two most common CH subtypes, proposing key roles for these two loci in CH development. Mendelian randomization analyses showed that smoking and longer leukocyte telomere length are causal risk factors for CH and that genetic predisposition to CH increases risks of myeloproliferative neoplasia, nonhematological malignancies, atrial fibrillation and blood epigenetic ageing.
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Affiliation(s)
- Siddhartha P Kar
- MRC Integrative Epidemiology Unit, University of Bristol, Bristol, UK.
- Section of Translational Epidemiology, Division of Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK.
| | - Pedro M Quiros
- Department of Haematology, Wellcome-MRC Cambridge Stem Cell Institute, Jeffrey Cheah Biomedical Centre, University of Cambridge, Cambridge, UK.
- Wellcome Sanger Institute, Wellcome Genome Campus, Hinxton, Cambridge, UK.
- Instituto de Investigación Sanitaria del Principado de Asturias (ISPA), Oviedo, Spain.
| | - Muxin Gu
- Department of Haematology, Wellcome-MRC Cambridge Stem Cell Institute, Jeffrey Cheah Biomedical Centre, University of Cambridge, Cambridge, UK
- Wellcome Sanger Institute, Wellcome Genome Campus, Hinxton, Cambridge, UK
| | - Tao Jiang
- BHF Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, Strangeways Research Laboratory, University of Cambridge, Cambridge, UK
| | - Jonathan Mitchell
- Centre for Genomics Research, Discovery Sciences, BioPharmaceuticals R&D, AstraZeneca, Cambridge, UK
| | - Ryan Langdon
- MRC Integrative Epidemiology Unit, University of Bristol, Bristol, UK
- Section of Translational Epidemiology, Division of Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
| | - Vivek Iyer
- Wellcome Sanger Institute, Wellcome Genome Campus, Hinxton, Cambridge, UK
| | - Clea Barcena
- Department of Haematology, Wellcome-MRC Cambridge Stem Cell Institute, Jeffrey Cheah Biomedical Centre, University of Cambridge, Cambridge, UK
- Wellcome Sanger Institute, Wellcome Genome Campus, Hinxton, Cambridge, UK
| | - M S Vijayabaskar
- Department of Haematology, Wellcome-MRC Cambridge Stem Cell Institute, Jeffrey Cheah Biomedical Centre, University of Cambridge, Cambridge, UK
- Wellcome Sanger Institute, Wellcome Genome Campus, Hinxton, Cambridge, UK
| | - Margarete A Fabre
- Department of Haematology, Wellcome-MRC Cambridge Stem Cell Institute, Jeffrey Cheah Biomedical Centre, University of Cambridge, Cambridge, UK
- Wellcome Sanger Institute, Wellcome Genome Campus, Hinxton, Cambridge, UK
- Department of Haematology, Cambridge University Hospitals NHS Foundation Trust, Cambridge, UK
| | - Paul Carter
- Division of Cardiovascular Medicine, Department of Medicine, Cambridge University Hospitals NHS Foundation Trust, Cambridge, UK
| | - Slavé Petrovski
- Centre for Genomics Research, Discovery Sciences, BioPharmaceuticals R&D, AstraZeneca, Cambridge, UK
- Department of Medicine, University of Melbourne, Austin Health, Melbourne, Victoria, Australia
| | - Stephen Burgess
- BHF Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, Strangeways Research Laboratory, University of Cambridge, Cambridge, UK
- MRC Biostatistics Unit, University of Cambridge, Cambridge, UK
| | - George S Vassiliou
- Department of Haematology, Wellcome-MRC Cambridge Stem Cell Institute, Jeffrey Cheah Biomedical Centre, University of Cambridge, Cambridge, UK.
- Wellcome Sanger Institute, Wellcome Genome Campus, Hinxton, Cambridge, UK.
- Department of Haematology, Cambridge University Hospitals NHS Foundation Trust, Cambridge, UK.
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119
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Bountziouka V, Nelson CP, Codd V, Wang Q, Musicha C, Allara E, Kaptoge S, Di Angelantonio E, Butterworth AS, Thompson JR, Curtis EM, Wood AM, Danesh JN, Harvey NC, Cooper C, Samani NJ. Association of shorter leucocyte telomere length with risk of frailty. J Cachexia Sarcopenia Muscle 2022; 13:1741-1751. [PMID: 35297226 PMCID: PMC9178164 DOI: 10.1002/jcsm.12971] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/20/2021] [Revised: 01/24/2022] [Accepted: 02/15/2022] [Indexed: 02/02/2023] Open
Abstract
BACKGROUND Frailty is a multidimensional syndrome of decline that affects multiple systems and predisposes to adverse health outcomes. Although chronological age is the major risk factor, inter-individual variation in risk is not fully understood. Leucocyte telomere length (LTL), a proposed marker of biological age, has been associated with risk of many diseases. We sought to determine whether LTL is associated with risk of frailty. METHODS We utilized cross-sectional data from 441 781 UK Biobank participants (aged 40-69 years), with complete data on frailty indicators and LTL. Frailty was defined as the presence of at least three of five indicators: weaker grip strength, slower walking pace, weight loss in the past year, lower physical activity, and exhaustion in the past 2 weeks. LTL was measured using a validated qPCR method and reported as a ratio of the telomere repeat number (T) to a single-copy gene (S) (T/S ratio). Association of LTL with frailty was evaluated using adjusted (chronological age, sex, deprivation, smoking, alcohol intake, body mass index, and multimorbidity) multinomial and ordinal regression models, and results are presented as relative risk (RRR) or odds ratios (OR), respectively, alongside the 95% confidence interval (CI). Mendelian randomization (MR), using 131 genetic variants associated with LTL, was used to assess if the association of LTL with frailty was causal. RESULTS Frail participants (4.6%) were older (median age difference (95% CI): 3 (2.5; 3.5) years, P = 2.73 × 10-33 ), more likely to be female (61%, P = 1.97 × 10-129 ), and had shorter LTL (-0.13SD vs. 0.03SD, P = 5.43 × 10-111 ) than non-frail. In adjusted analyses, both age and LTL were associated with frailty (RRR = 1.03 (95% CI: 1.02; 1.04) per year of older chronological age, P = 3.99 × 10-12 ; 1.10 (1.08; 1.11) per SD shorter LTL, P = 1.46 × 10-30 ). Within each age group (40-49, 50-59, 60-69 years), the prevalence of frailty was about 33% higher in participants with shorter (-2SD) versus longer telomeres (+2SD). MR analysis showed an association of LTL with frailty that was directionally consistent with the observational association, but not statistically significant (MR-Median: OR (95% CI): 1.08 (0.98; 1.19) per SD shorter LTL, P = 0.13). CONCLUSIONS Inter-individual variation in LTL is associated with the risk of frailty independently of chronological age and other risk factors. Our findings provide evidence for an additional biological determinant of frailty.
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Affiliation(s)
- Vasiliki Bountziouka
- Department of Cardiovascular SciencesUniversity of LeicesterLeicesterUK
- NIHR Leicester Biomedical Research Centre, Glenfield HospitalLeicesterUK
| | - Christopher P. Nelson
- Department of Cardiovascular SciencesUniversity of LeicesterLeicesterUK
- NIHR Leicester Biomedical Research Centre, Glenfield HospitalLeicesterUK
| | - Veryan Codd
- Department of Cardiovascular SciencesUniversity of LeicesterLeicesterUK
- NIHR Leicester Biomedical Research Centre, Glenfield HospitalLeicesterUK
| | - Qingning Wang
- Department of Cardiovascular SciencesUniversity of LeicesterLeicesterUK
- NIHR Leicester Biomedical Research Centre, Glenfield HospitalLeicesterUK
| | - Crispin Musicha
- Department of Cardiovascular SciencesUniversity of LeicesterLeicesterUK
- NIHR Leicester Biomedical Research Centre, Glenfield HospitalLeicesterUK
| | - Elias Allara
- British Heart Foundation Cardiovascular Epidemiology Unit, Department of Public Health and Primary CareUniversity of CambridgeCambridgeUK
- National Institute for Health Research Blood and Transplant Research Unit in Donor Health and Genomics, University of CambridgeCambridgeUK
| | - Stephen Kaptoge
- British Heart Foundation Cardiovascular Epidemiology Unit, Department of Public Health and Primary CareUniversity of CambridgeCambridgeUK
- National Institute for Health Research Blood and Transplant Research Unit in Donor Health and Genomics, University of CambridgeCambridgeUK
- British Heart Foundation Centre of Research ExcellenceUniversity of CambridgeCambridgeUK
| | - Emanuele Di Angelantonio
- British Heart Foundation Cardiovascular Epidemiology Unit, Department of Public Health and Primary CareUniversity of CambridgeCambridgeUK
- National Institute for Health Research Blood and Transplant Research Unit in Donor Health and Genomics, University of CambridgeCambridgeUK
- British Heart Foundation Centre of Research ExcellenceUniversity of CambridgeCambridgeUK
- Health Data Research UK Cambridge, Wellcome Genome Campus and University of CambridgeCambridgeUK
| | - Adam S. Butterworth
- British Heart Foundation Cardiovascular Epidemiology Unit, Department of Public Health and Primary CareUniversity of CambridgeCambridgeUK
- National Institute for Health Research Blood and Transplant Research Unit in Donor Health and Genomics, University of CambridgeCambridgeUK
- British Heart Foundation Centre of Research ExcellenceUniversity of CambridgeCambridgeUK
- Health Data Research UK Cambridge, Wellcome Genome Campus and University of CambridgeCambridgeUK
| | | | | | - Angela M. Wood
- British Heart Foundation Cardiovascular Epidemiology Unit, Department of Public Health and Primary CareUniversity of CambridgeCambridgeUK
- National Institute for Health Research Blood and Transplant Research Unit in Donor Health and Genomics, University of CambridgeCambridgeUK
- British Heart Foundation Centre of Research ExcellenceUniversity of CambridgeCambridgeUK
- Health Data Research UK Cambridge, Wellcome Genome Campus and University of CambridgeCambridgeUK
| | - John N. Danesh
- British Heart Foundation Cardiovascular Epidemiology Unit, Department of Public Health and Primary CareUniversity of CambridgeCambridgeUK
- National Institute for Health Research Blood and Transplant Research Unit in Donor Health and Genomics, University of CambridgeCambridgeUK
- British Heart Foundation Centre of Research ExcellenceUniversity of CambridgeCambridgeUK
- Health Data Research UK Cambridge, Wellcome Genome Campus and University of CambridgeCambridgeUK
- Wellcome Sanger Institute, Wellcome Genome CampusCambridgeHinxtonUK
| | - Nicholas C. Harvey
- MRC Lifecourse Epidemiology UnitUniversity of SouthamptonSouthamptonUK
- NIHR Southampton Biomedical Research CentreUniversity of Southampton and University Hospital Southampton NHS Foundation TrustSouthamptonUK
| | - Cyrus Cooper
- MRC Lifecourse Epidemiology UnitUniversity of SouthamptonSouthamptonUK
- NIHR Southampton Biomedical Research CentreUniversity of Southampton and University Hospital Southampton NHS Foundation TrustSouthamptonUK
- NIHR Biomedical Research CentreUniversity of OxfordOxfordUK
| | - Nilesh J. Samani
- Department of Cardiovascular SciencesUniversity of LeicesterLeicesterUK
- NIHR Leicester Biomedical Research Centre, Glenfield HospitalLeicesterUK
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120
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Lansdorp PM. Sex differences in telomere length, lifespan, and embryonic dyskerin levels. Aging Cell 2022; 21:e13614. [PMID: 35441417 PMCID: PMC9124296 DOI: 10.1111/acel.13614] [Citation(s) in RCA: 18] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/26/2022] [Revised: 03/20/2022] [Accepted: 04/03/2022] [Indexed: 01/22/2023] Open
Abstract
Telomerase levels in most human cells are insufficient to prevent loss of telomeric DNA with each replication cycle. The resulting “Hayflick” limit may have allowed lifespan to increase by suppressing the development of tumors early in life be it at the expense of compromised cellular responses late in life. At any given age, the average telomere length in leukocytes shows considerably variation between individuals with females having, on average, longer telomeres than males. Sex differences in average telomere length are already present at birth and correspond to reported differences in the average life expectancy between the sexes. Levels of telomerase RNA and dyskerin, encoded by DKC1, are known to limit telomerase activity in embryonic stem cells. X‐linked DKC1 is expressed from both alleles in female embryo cells and higher levels of dyskerin and telomerase could elongate telomeres prior to embryo implantation. The hypothesis that embryonic telomerase levels set the stage for the sex differences in telomere length and lifespan deserves further study.
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Affiliation(s)
- Peter M. Lansdorp
- Terry Fox Laboratory BC Cancer Agency Vancouver BC Canada
- Department of Medical Genetics University of British Columbia Vancouver BC Canada
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121
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Aviv A. The telomere tumult: meaning and metrics in population studies. THE LANCET. HEALTHY LONGEVITY 2022; 3:e308-e309. [PMID: 35910300 PMCID: PMC9337717 DOI: 10.1016/s2666-7568(22)00094-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/01/2022] Open
Affiliation(s)
- Abraham Aviv
- The Center of Human Development and Aging, New Jersey Medical School, Rutgers University, Newark, NJ 07103, USA
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122
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Bountziouka V, Musicha C, Allara E, Kaptoge S, Wang Q, Angelantonio ED, Butterworth AS, Thompson JR, Danesh JN, Wood AM, Nelson CP, Codd V, Samani NJ. Modifiable traits, healthy behaviours, and leukocyte telomere length: a population-based study in UK Biobank. THE LANCET. HEALTHY LONGEVITY 2022; 3:e321-e331. [PMID: 35685390 PMCID: PMC9068584 DOI: 10.1016/s2666-7568(22)00072-1] [Citation(s) in RCA: 28] [Impact Index Per Article: 14.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/15/2023] Open
Abstract
Background Telomere length is associated with risk of several age-related diseases and cancers. We aimed to investigate the extent to which telomere length might be modifiable through lifestyle and behaviour, and whether such modification has any clinical consequences. Methods In this population-based study, we included participants from UK Biobank who had leukocyte telomere length (LTL) measurement, ethnicity, and white blood cell count data. We investigated associations of LTL with 117 potentially modifiable traits, as well as two indices of healthy behaviours incorporating between them smoking, physical activity, diet, maintenance of a healthy bodyweight, and alcohol intake, using both available and imputed data. To help interpretation, associations were summarised as the number of equivalent years of age-related change in LTL by dividing the trait β coefficients with the age β coefficient. We used mendelian randomisation to test causality of selected associations. We investigated whether the associations of LTL with 22 diseases were modified by the number of healthy behaviours and the extent to which the associations of more healthy behaviours with greater life expectancy and lower risk of coronary artery disease might be mediated through LTL. Findings 422 797 participants were available for the analysis (227 620 [53·8%] were women and 400 036 [94·6%] were White). 71 traits showed significant (p<4·27 × 10-4) associations with LTL but most were modest, equivalent to less than 1 year of age-related change in LTL. In multivariable analyses of 17 traits with stronger associations (equivalent to ≥2 years of age-related change in LTL), oily fish intake, educational attainment, and general health status retained a significant association of this magnitude, with walking pace and current smoking being additionally significant at this level of association in the imputed models. Mendelian randomisation analysis suggested that educational attainment and smoking behaviour causally affect LTL. Both indices of healthy behaviour were positively and linearly associated with LTL, with those with the most healthy behaviours having longer LTL equivalent to about 3·5 years of age-related change in LTL than those with the least heathy behaviours (p<0·001). However, healthy behaviours explained less than 0·2% of the total variation in LTL and did not significantly modify the association of LTL with risk of any of the diseases studied. Neither the association of more healthy behaviours on greater life expectancy or lower risk of coronary artery disease were substantially mediated through LTL. Interpretation Although several potentially modifiable traits and healthy behaviours have a quantifiable association with LTL, at least some of which are likely to be causal, these effects are not of a sufficient magnitude to substantially alter the association between LTL and various diseases or life expectancy. Attempts to change telomere length through lifestyle or behavioural changes might not confer substantial clinical benefit. Funding UK Medical Research Council, UK Biotechnology and Biological Sciences Research Council, and British Heart Foundation.
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Affiliation(s)
- Vasiliki Bountziouka
- Department of Cardiovascular Sciences, University of Leicester, Leicester, UK
- NIHR Leicester Biomedical Research Centre, Glenfield Hospital, Leicester, UK
| | - Crispin Musicha
- Department of Cardiovascular Sciences, University of Leicester, Leicester, UK
- NIHR Leicester Biomedical Research Centre, Glenfield Hospital, Leicester, UK
| | - Elias Allara
- British Heart Foundation Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, National Institute for Health Research Blood Transplant Research Unit in Donor Health and Genomics, and British Heart Foundation Centre of Research Excellence, University of Cambridge, Cambridge, UK
| | - Stephen Kaptoge
- British Heart Foundation Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, National Institute for Health Research Blood Transplant Research Unit in Donor Health and Genomics, and British Heart Foundation Centre of Research Excellence, University of Cambridge, Cambridge, UK
| | - Qingning Wang
- Department of Cardiovascular Sciences, University of Leicester, Leicester, UK
- NIHR Leicester Biomedical Research Centre, Glenfield Hospital, Leicester, UK
| | - Emanuele Di Angelantonio
- British Heart Foundation Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, National Institute for Health Research Blood Transplant Research Unit in Donor Health and Genomics, and British Heart Foundation Centre of Research Excellence, University of Cambridge, Cambridge, UK
- Health Data Research UK Cambridge, University of Cambridge, Cambridge, UK
- Health Data Science Centre, Human Technopole, Milan, Italy
| | - Adam S Butterworth
- British Heart Foundation Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, National Institute for Health Research Blood Transplant Research Unit in Donor Health and Genomics, and British Heart Foundation Centre of Research Excellence, University of Cambridge, Cambridge, UK
- Health Data Research UK Cambridge, University of Cambridge, Cambridge, UK
| | - John R Thompson
- Department of Health Sciences, University of Leicester, Leicester, UK
- NIHR Leicester Biomedical Research Centre, Glenfield Hospital, Leicester, UK
| | - John N Danesh
- British Heart Foundation Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, National Institute for Health Research Blood Transplant Research Unit in Donor Health and Genomics, and British Heart Foundation Centre of Research Excellence, University of Cambridge, Cambridge, UK
- Health Data Research UK Cambridge, University of Cambridge, Cambridge, UK
- Wellcome Sanger Institute, Wellcome Genome Campus, Hinxton, UK
| | - Angela M Wood
- British Heart Foundation Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, National Institute for Health Research Blood Transplant Research Unit in Donor Health and Genomics, and British Heart Foundation Centre of Research Excellence, University of Cambridge, Cambridge, UK
- Health Data Research UK Cambridge, University of Cambridge, Cambridge, UK
| | - Christopher P Nelson
- Department of Cardiovascular Sciences, University of Leicester, Leicester, UK
- NIHR Leicester Biomedical Research Centre, Glenfield Hospital, Leicester, UK
| | - Veryan Codd
- Department of Cardiovascular Sciences, University of Leicester, Leicester, UK
- NIHR Leicester Biomedical Research Centre, Glenfield Hospital, Leicester, UK
| | - Nilesh J Samani
- Department of Cardiovascular Sciences, University of Leicester, Leicester, UK
- NIHR Leicester Biomedical Research Centre, Glenfield Hospital, Leicester, UK
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123
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Investigation of a UK biobank cohort reveals causal associations of self-reported walking pace with telomere length. Commun Biol 2022; 5:381. [PMID: 35444173 PMCID: PMC9021230 DOI: 10.1038/s42003-022-03323-x] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/17/2021] [Accepted: 03/25/2022] [Indexed: 02/02/2023] Open
Abstract
Walking pace is a simple and functional form of movement and a strong predictor of health status, but the nature of its association with leucocyte telomere length (LTL) is unclear. Here we investigate whether walking pace is associated with LTL, which is causally associated with several chronic diseases and has been proposed as a marker of biological age. Analyses were conducted in 405,981 UK Biobank participants. We show that steady/average and brisk walkers had significantly longer LTL compared with slow walkers, with accelerometer-assessed measures of physical activity further supporting this through an association between LTL and habitual activity intensity, but not with total amount of activity. Bi-directional mendelian randomisation analyses suggest a causal link between walking pace and LTL, but not the other way around. A faster walking pace may be causally associated with longer LTL, which could help explain some of the beneficial effects of brisk walking on health status. Given its simple measurement and low heritability, self-reported walking pace may be a pragmatic target for interventions.
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124
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Nakao T, Bick AG, Taub MA, Zekavat SM, Uddin MM, Niroula A, Carty CL, Lane J, Honigberg MC, Weinstock JS, Pampana A, Gibson CJ, Griffin GK, Clarke SL, Bhattacharya R, Assimes TL, Emery LS, Stilp AM, Wong Q, Broome J, Laurie CA, Khan AT, Smith AV, Blackwell TW, Codd V, Nelson CP, Yoneda ZT, Peralta JM, Bowden DW, Irvin MR, Boorgula M, Zhao W, Yanek LR, Wiggins KL, Hixson JE, Gu CC, Peloso GM, Roden DM, Reupena MS, Hwu CM, DeMeo DL, North KE, Kelly S, Musani SK, Bis JC, Lloyd-Jones DM, Johnsen JM, Preuss M, Tracy RP, Peyser PA, Qiao D, Desai P, Curran JE, Freedman BI, Tiwari HK, Chavan S, Smith JA, Smith NL, Kelly TN, Hidalgo B, Cupples LA, Weeks DE, Hawley NL, Minster RL, Deka R, Naseri TT, de las Fuentes L, Raffield LM, Morrison AC, Vries PS, Ballantyne CM, Kenny EE, Rich SS, Whitsel EA, Cho MH, Shoemaker MB, Pace BS, Blangero J, Palmer ND, Mitchell BD, Shuldiner AR, Barnes KC, Redline S, Kardia SL, Abecasis GR, Becker LC, Heckbert SR, He J, Post W, Arnett DK, Vasan RS, Darbar D, Weiss ST, McGarvey ST, de Andrade M, Chen YDI, Kaplan RC, Meyers DA, Custer BS, Correa A, Psaty BM, Fornage M, Manson JE, Boerwinkle E, Konkle BA, Loos RJ, Rotter JI, Silverman EK, Kooperberg C, Danesh J, Samani NJ, Jaiswal S, Libby P, Ellinor PT, Pankratz N, Ebert BL, Reiner AP, Mathias RA, Do R, Natarajan P. Mendelian randomization supports bidirectional causality between telomere length and clonal hematopoiesis of indeterminate potential. SCIENCE ADVANCES 2022; 8:eabl6579. [PMID: 35385311 PMCID: PMC8986098 DOI: 10.1126/sciadv.abl6579] [Citation(s) in RCA: 25] [Impact Index Per Article: 12.5] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 07/30/2021] [Accepted: 02/16/2022] [Indexed: 05/24/2023]
Abstract
Human genetic studies support an inverse causal relationship between leukocyte telomere length (LTL) and coronary artery disease (CAD), but directionally mixed effects for LTL and diverse malignancies. Clonal hematopoiesis of indeterminate potential (CHIP), characterized by expansion of hematopoietic cells bearing leukemogenic mutations, predisposes both hematologic malignancy and CAD. TERT (which encodes telomerase reverse transcriptase) is the most significantly associated germline locus for CHIP in genome-wide association studies. Here, we investigated the relationship between CHIP, LTL, and CAD in the Trans-Omics for Precision Medicine (TOPMed) program (n = 63,302) and UK Biobank (n = 47,080). Bidirectional Mendelian randomization studies were consistent with longer genetically imputed LTL increasing propensity to develop CHIP, but CHIP then, in turn, hastens to shorten measured LTL (mLTL). We also demonstrated evidence of modest mediation between CHIP and CAD by mLTL. Our data promote an understanding of potential causal relationships across CHIP and LTL toward prevention of CAD.
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Affiliation(s)
- Tetsushi Nakao
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Cardiovascular Research Center, Massachusetts General Hospital, Boston, MA, USA
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
- Division of Cardiovascular Medicine, Department of Medicine, Brigham and Women’s Hospital, Boston, MA, USA
| | - Alexander G. Bick
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Division of Genetic Medicine, Department of Medicine, Vanderbilt University, Nashville, TN, USA
| | - Margaret A. Taub
- Department of Biostatistics, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | | | - Md M. Uddin
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Cardiovascular Research Center, Massachusetts General Hospital, Boston, MA, USA
| | - Abhishek Niroula
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
- Department of Laboratory Medicine, Lund University, Lund, Sweden
| | - Cara L. Carty
- Initiative for Research and Education to Advance Community Health, Washington State University, Seattle, WA, USA
| | - John Lane
- Department of Laboratory Medicine and Pathology, University of Minnesota Medical School, Minneapolis, MN, USA
| | - Michael C. Honigberg
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Cardiovascular Research Center, Massachusetts General Hospital, Boston, MA, USA
- Department of Medicine, Harvard Medical School, Boston, MA, USA
| | - Joshua S. Weinstock
- Center for Statistical Genetics, Department of Biostatistics, University of Michigan School of Public Health, Ann Arbor, MI, USA
| | - Akhil Pampana
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Cardiovascular Research Center, Massachusetts General Hospital, Boston, MA, USA
| | | | - Gabriel K. Griffin
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Department of Pathology, Harvard Medical School, Boston, MA, USA
- Department of Pathology, Brigham and Women’s Hospital, Boston, MA, USA
| | - Shoa L. Clarke
- Division of Cardiovascular Medicine, Department of Medicine, Stanford University School of Medicine, Stanford, CA, USA
| | - Romit Bhattacharya
- Cardiovascular Research Center, Massachusetts General Hospital, Boston, MA, USA
- Division of Cardiology, Massachusetts General Hospital, Boston, MA, USA
| | - Themistocles L. Assimes
- Division of Cardiovascular Medicine, Department of Medicine, Stanford University School of Medicine, Stanford, CA, USA
- VA Palo Alto Health Care System, Palo Alto, CA, USA
| | - Leslie S. Emery
- Department of Biostatistics, University of Washington, Seattle, WA, USA
| | - Adrienne M. Stilp
- Department of Biostatistics, University of Washington, Seattle, WA, USA
| | - Quenna Wong
- Department of Biostatistics, University of Washington, Seattle, WA, USA
| | - Jai Broome
- Department of Biostatistics, University of Washington, Seattle, WA, USA
| | - Cecelia A. Laurie
- Department of Biostatistics, University of Washington, Seattle, WA, USA
| | - Alyna T. Khan
- Department of Biostatistics, University of Washington, Seattle, WA, USA
| | - Albert V. Smith
- Center for Statistical Genetics, Department of Biostatistics, University of Michigan School of Public Health, Ann Arbor, MI, USA
| | - Thomas W. Blackwell
- Center for Statistical Genetics, Department of Biostatistics, University of Michigan School of Public Health, Ann Arbor, MI, USA
| | - Veryan Codd
- Department of Cardiovascular Sciences, University of Leicester, Leicester, UK
- National Institute for Health Research Leicester Biomedical Research Centre, Glenfield Hospital, Leicester, UK
| | - Christopher P. Nelson
- Department of Cardiovascular Sciences, University of Leicester, Leicester, UK
- National Institute for Health Research Leicester Biomedical Research Centre, Glenfield Hospital, Leicester, UK
| | - Zachary T. Yoneda
- Division of Cardiology, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Juan M. Peralta
- Department of Human Genetics and South Texas Diabetes and Obesity Institute, University of Texas Rio Grande Valley School of Medicine, Brownsville, TX, USA
| | - Donald W. Bowden
- Department of Biochemistry, Wake Forest School of Medicine, Winston-Salem, NC, USA
| | - Marguerite R. Irvin
- Department of Biostatistics, School of Public Health, University of Alabama, Birmingham, AL, USA
| | - Meher Boorgula
- Division of Biomedical Informatics and Personalized Medicine and the Colorado Center for Personalized Medicine, School of Medicine, University of Colorado, Aurora, CO, USA
| | - Wei Zhao
- Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, MI, USA
| | - Lisa R. Yanek
- GeneSTAR Research Program, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Kerri L. Wiggins
- Department of Medicine, University of Washington, Seattle, WA, USA
| | - James E. Hixson
- Human Genetics Center, Department of Epidemiology, Human Genetics, and Environmental Sciences, School of Public Health, The University of Texas Health Science Center at Houston, Houston, TX, USA
| | - C. Charles Gu
- Division of Biostatistics, Washington University School of Medicine, St. Louis, MO, USA
| | - Gina M. Peloso
- Department of Biostatistics, Boston University School of Public Health, Boston, MA, USA
| | - Dan M. Roden
- Departments of Medicine, Pharmacology, and Biomedical Informatics, Vanderbilt University Medical Center, Nashville, TN, USA
| | | | - Chii-Min Hwu
- Section of Endocrinology and Metabolism, Department of Medicine, Taipei Veterans General Hospital, Taipei, Taiwan
- School of Medicine, National Yang-Ming University, Taipei, Taiwan
| | - Dawn L. DeMeo
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women’s Hospital, Boston, MA, USA
| | - Kari E. North
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina, Chapel Hill, NC, USA
| | - Shannon Kelly
- Vitalant Research Institute, San Francisco, CA, USA
- UCSF, Benioff Children’s Hospital Oakland, Oakland, CA, USA
| | - Solomon K. Musani
- Jackson Heart Study, Department of Medicine, University of Mississippi Medical Center, Jackson, MS, USA
| | - Joshua C. Bis
- Cardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle, WA, USA
| | - Donald M. Lloyd-Jones
- Division of Cardiology Department of Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
- Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
| | | | - Michael Preuss
- The Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Russell P. Tracy
- Department of Pathology and Laboratory Medicine, Larner College of Medicine, University of Vermont, Burlington, VT, USA
- Department of Pathology and Biochemistry, University of Vermont College of Medicine, Burlington, VT, USA
| | - Patricia A. Peyser
- Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, MI, USA
| | - Dandi Qiao
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women’s Hospital, Boston, MA, USA
| | - Pinkal Desai
- Division of Hematology and Oncology, Weill Cornell Medical College, New York, NY, USA
| | - Joanne E. Curran
- Department of Human Genetics and South Texas Diabetes and Obesity Institute, University of Texas Rio Grande Valley School of Medicine, Brownsville, TX, USA
| | - Barry I. Freedman
- Internal Medicine–Nephrology, Wake Forest School of Medicine, Winston-Salem, NC, USA
| | - Hemant K. Tiwari
- Department of Epidemiology, School of Public Health, University of Alabama, Birmingham, AL, USA
| | - Sameer Chavan
- Division of Biomedical Informatics and Personalized Medicine and the Colorado Center for Personalized Medicine, School of Medicine, University of Colorado, Aurora, CO, USA
| | - Jennifer A. Smith
- Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, MI, USA
- Survey Research Center, Institute for Social Research, University of Michigan, Ann Arbor, MI, USA
| | - Nicholas L. Smith
- Department of Epidemiology, University of Washington, Seattle, WA, USA
- Kaiser Permanente Washington Health Research Institute, Seattle, WA, USA
- Seattle Epidemiologic Research and Information Center, Department of Veterans Affairs Office of Research and Development, Seattle, WA, USA
| | - Tanika N. Kelly
- Department of Epidemiology, Tulane University School of Public Health and Tropical Medicine, New Orleans, LA, USA
- Tulane University Translational Science Institute, New Orleans, LA, USA
| | - Bertha Hidalgo
- Department of Epidemiology, School of Public Health, University of Alabama, Birmingham, AL, USA
| | - L. Adrienne Cupples
- Department of Biostatistics, Boston University School of Public Health, Boston, MA, USA
- National Heart Lung and Blood Institute, Boston University’s Framingham Heart Study, Framingham, MA, USA
| | - Daniel E. Weeks
- Department of Human Genetics and Biostatistics, University of Pittsburgh, Pittsburgh, PA, USA
| | - Nicola L. Hawley
- Department of Chronic Disease Epidemiology, Yale University, New Haven, CT, USA
| | - Ryan L. Minster
- Department of Human Genetics, University of Pittsburgh, Pittsburgh, PA, USA
| | - The Samoan Obesity, Lifestyle and Genetic Adaptations Study (OLaGA) Group
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Cardiovascular Research Center, Massachusetts General Hospital, Boston, MA, USA
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
- Division of Cardiovascular Medicine, Department of Medicine, Brigham and Women’s Hospital, Boston, MA, USA
- Division of Genetic Medicine, Department of Medicine, Vanderbilt University, Nashville, TN, USA
- Department of Biostatistics, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
- Yale University School of Medicine, New Haven, CT, USA
- Department of Laboratory Medicine, Lund University, Lund, Sweden
- Initiative for Research and Education to Advance Community Health, Washington State University, Seattle, WA, USA
- Department of Laboratory Medicine and Pathology, University of Minnesota Medical School, Minneapolis, MN, USA
- Department of Medicine, Harvard Medical School, Boston, MA, USA
- Center for Statistical Genetics, Department of Biostatistics, University of Michigan School of Public Health, Ann Arbor, MI, USA
- Department of Pathology, Harvard Medical School, Boston, MA, USA
- Department of Pathology, Brigham and Women’s Hospital, Boston, MA, USA
- Division of Cardiovascular Medicine, Department of Medicine, Stanford University School of Medicine, Stanford, CA, USA
- Division of Cardiology, Massachusetts General Hospital, Boston, MA, USA
- VA Palo Alto Health Care System, Palo Alto, CA, USA
- Department of Biostatistics, University of Washington, Seattle, WA, USA
- Department of Cardiovascular Sciences, University of Leicester, Leicester, UK
- National Institute for Health Research Leicester Biomedical Research Centre, Glenfield Hospital, Leicester, UK
- Division of Cardiology, Vanderbilt University Medical Center, Nashville, TN, USA
- Department of Human Genetics and South Texas Diabetes and Obesity Institute, University of Texas Rio Grande Valley School of Medicine, Brownsville, TX, USA
- Department of Biochemistry, Wake Forest School of Medicine, Winston-Salem, NC, USA
- Department of Biostatistics, School of Public Health, University of Alabama, Birmingham, AL, USA
- Division of Biomedical Informatics and Personalized Medicine and the Colorado Center for Personalized Medicine, School of Medicine, University of Colorado, Aurora, CO, USA
- Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, MI, USA
- GeneSTAR Research Program, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA
- Department of Medicine, University of Washington, Seattle, WA, USA
- Human Genetics Center, Department of Epidemiology, Human Genetics, and Environmental Sciences, School of Public Health, The University of Texas Health Science Center at Houston, Houston, TX, USA
- Division of Biostatistics, Washington University School of Medicine, St. Louis, MO, USA
- Department of Biostatistics, Boston University School of Public Health, Boston, MA, USA
- Departments of Medicine, Pharmacology, and Biomedical Informatics, Vanderbilt University Medical Center, Nashville, TN, USA
- Ministry of Health, Government of Samoa, Apia, Samoa
- Section of Endocrinology and Metabolism, Department of Medicine, Taipei Veterans General Hospital, Taipei, Taiwan
- School of Medicine, National Yang-Ming University, Taipei, Taiwan
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women’s Hospital, Boston, MA, USA
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina, Chapel Hill, NC, USA
- Vitalant Research Institute, San Francisco, CA, USA
- UCSF, Benioff Children’s Hospital Oakland, Oakland, CA, USA
- Jackson Heart Study, Department of Medicine, University of Mississippi Medical Center, Jackson, MS, USA
- Cardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle, WA, USA
- Division of Cardiology Department of Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
- Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
- Bloodworks Northwest Research Institute, Seattle, WA, USA
- The Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Department of Pathology and Laboratory Medicine, Larner College of Medicine, University of Vermont, Burlington, VT, USA
- Department of Pathology and Biochemistry, University of Vermont College of Medicine, Burlington, VT, USA
- Division of Hematology and Oncology, Weill Cornell Medical College, New York, NY, USA
- Internal Medicine–Nephrology, Wake Forest School of Medicine, Winston-Salem, NC, USA
- Department of Epidemiology, School of Public Health, University of Alabama, Birmingham, AL, USA
- Survey Research Center, Institute for Social Research, University of Michigan, Ann Arbor, MI, USA
- Department of Epidemiology, University of Washington, Seattle, WA, USA
- Kaiser Permanente Washington Health Research Institute, Seattle, WA, USA
- Seattle Epidemiologic Research and Information Center, Department of Veterans Affairs Office of Research and Development, Seattle, WA, USA
- Department of Epidemiology, Tulane University School of Public Health and Tropical Medicine, New Orleans, LA, USA
- Tulane University Translational Science Institute, New Orleans, LA, USA
- National Heart Lung and Blood Institute, Boston University’s Framingham Heart Study, Framingham, MA, USA
- Department of Human Genetics and Biostatistics, University of Pittsburgh, Pittsburgh, PA, USA
- Department of Chronic Disease Epidemiology, Yale University, New Haven, CT, USA
- Department of Human Genetics, University of Pittsburgh, Pittsburgh, PA, USA
- Department of Environmental Health, University of Cincinnati, Cincinnati, OH, USA
- Department of Environmental and Public Health Sciences, University of Cincinnati College of Medicine, Cincinnati, OH, USA
- Department of Health, American Samoa Government, Pago Pago, American Samoa, USA
- Cardiovascular Division, Department of Medicine, Washington University School of Medicine, St. Louis, MO, USA
- Department of Genetics, University of North Carolina, Chapel Hill, NC, USA
- Department of Medicine, Baylor College of Medicine, Houston, TX, USA
- Institute for Genomic Health, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Department of Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Center for Public Health Genomics, University of Virginia, Charlottesville, VA, USA
- Department of Medicine, School of Medicine, University of North Carolina, Chapel Hill, NC, USA
- Channing Division of Network Medicine and Division of Pulmonary and Critical Care Medicine, Department of Medicine, Brigham and Women’s Hospital, Boston, MA, USA
- Division of Hematology/Oncology, Department of Pediatrics, Augusta University, Augusta, GA, USA
- Department of Medicine, University of Maryland School of Medicine, Baltimore, MD, USA
- Geriatrics Research and Education Clinical Center, Baltimore Veterans Administration Medical Center, Baltimore, MD, USA
- Division of Endocrinology, Diabetes and Nutrition, University of Maryland School of Medicine, Baltimore, MD, USA
- Division of Sleep and Circadian Disorders, Department of Medicine, Brigham and Women’s Hospital, Boston, MA, USA
- Department of Medicine, Beth Israel Deaconess Medical Center, Boston, MA, USA
- Regeneron Pharmaceuticals, Tarrytown, NY, USA
- Department of Medicine, Division of Cardiology, Johns Hopkins University, Baltimore, MD, USA
- Dean’s Office, College of Public Health, University of Kentucky, Lexington, KY, USA
- Departments of Cardiology and Preventive Medicine, Department of Medicine, Boston University School of Medicine, Boston, MA, USA
- Division of Cardiology, University of Illinois at Chicago, Chicago, IL, USA
- Department of Epidemiology and International Health Institute, Brown University School of Public Health, Providence, RI, USA
- Mayo Clinic, Department of Health Sciences Research, Rochester, MN, USA
- The Institute for Translational Genomics and Population Sciences, Department of Pediatrics, The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance, CA, USA
- Department of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, NY, USA
- Fred Hutchinson Cancer Research Center, Division of Public Health Sciences, Seattle, WA, USA
- Division of Genetics, Genomics and Precision Medicine, University of Arizona, Tucson, AZ, USA
- Departments of Medicine and Population Health Science, University of Mississippi Medical Center, Jackson, MS, USA
- Department of Health Services, University of Washington, Seattle, WA, USA
- Brown Foundation Institute of Molecular Medicine, McGovern Medical School, University of Texas Health Science Center at Houston, Houston, TX, USA
- Department of Medicine, Brigham and Women’s Hospital, Boston, MA, USA
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Bloodworks Northwest, Seattle, WA, USA
- Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Science, University of Copenhagen, Copenhagen, Denmark
- Fred Hutchinson Cancer Research Center, Seattle, WA, USA
- British Heart Foundation Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
- Health Data Research UK Cambridge, Wellcome Genome Campus and University of Cambridge, Cambridge, UK
- National Institute for Health Research Cambridge Biomedical Research Centre, University of Cambridge and Cambridge University Hospitals, Cambridge, UK
- Department of Pathology, Stanford University, Stanford, CA, USA
- Cardiac Arrhythmia Service and Cardiovascular Research Center, Massachusetts General Hospital, Boston, MA, USA
- Howard Hughes Medical Institute, Boston, MA, USA
- Institute for Genomics and Multiscale Biology, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Ranjan Deka
- Department of Environmental Health, University of Cincinnati, Cincinnati, OH, USA
- Department of Environmental and Public Health Sciences, University of Cincinnati College of Medicine, Cincinnati, OH, USA
| | - Take T. Naseri
- Department of Health, American Samoa Government, Pago Pago, American Samoa, USA
| | - Lisa de las Fuentes
- Division of Biostatistics, Washington University School of Medicine, St. Louis, MO, USA
- Cardiovascular Division, Department of Medicine, Washington University School of Medicine, St. Louis, MO, USA
| | - Laura M. Raffield
- Department of Genetics, University of North Carolina, Chapel Hill, NC, USA
| | - Alanna C. Morrison
- Human Genetics Center, Department of Epidemiology, Human Genetics, and Environmental Sciences, School of Public Health, The University of Texas Health Science Center at Houston, Houston, TX, USA
| | - Paul S. Vries
- Human Genetics Center, Department of Epidemiology, Human Genetics, and Environmental Sciences, School of Public Health, The University of Texas Health Science Center at Houston, Houston, TX, USA
| | | | - Eimear E. Kenny
- Institute for Genomic Health, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Department of Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Stephen S. Rich
- Center for Public Health Genomics, University of Virginia, Charlottesville, VA, USA
| | - Eric A. Whitsel
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina, Chapel Hill, NC, USA
- Department of Medicine, School of Medicine, University of North Carolina, Chapel Hill, NC, USA
| | - Michael H. Cho
- Channing Division of Network Medicine and Division of Pulmonary and Critical Care Medicine, Department of Medicine, Brigham and Women’s Hospital, Boston, MA, USA
| | | | - Betty S. Pace
- Division of Hematology/Oncology, Department of Pediatrics, Augusta University, Augusta, GA, USA
| | - John Blangero
- Department of Human Genetics and South Texas Diabetes and Obesity Institute, University of Texas Rio Grande Valley School of Medicine, Brownsville, TX, USA
| | - Nicholette D. Palmer
- Department of Biochemistry, Wake Forest School of Medicine, Winston-Salem, NC, USA
| | - Braxton D. Mitchell
- Department of Medicine, University of Maryland School of Medicine, Baltimore, MD, USA
- Geriatrics Research and Education Clinical Center, Baltimore Veterans Administration Medical Center, Baltimore, MD, USA
| | - Alan R. Shuldiner
- Division of Endocrinology, Diabetes and Nutrition, University of Maryland School of Medicine, Baltimore, MD, USA
| | - Kathleen C. Barnes
- Division of Biomedical Informatics and Personalized Medicine and the Colorado Center for Personalized Medicine, School of Medicine, University of Colorado, Aurora, CO, USA
| | - Susan Redline
- Department of Medicine, Harvard Medical School, Boston, MA, USA
- Division of Sleep and Circadian Disorders, Department of Medicine, Brigham and Women’s Hospital, Boston, MA, USA
- Department of Medicine, Beth Israel Deaconess Medical Center, Boston, MA, USA
| | - Sharon L.R. Kardia
- Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, MI, USA
| | - Gonçalo R. Abecasis
- Center for Statistical Genetics, Department of Biostatistics, University of Michigan School of Public Health, Ann Arbor, MI, USA
- Regeneron Pharmaceuticals, Tarrytown, NY, USA
| | - Lewis C. Becker
- GeneSTAR Research Program, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Susan R. Heckbert
- Department of Epidemiology, University of Washington, Seattle, WA, USA
- Kaiser Permanente Washington Health Research Institute, Seattle, WA, USA
| | - Jiang He
- Department of Epidemiology, Tulane University School of Public Health and Tropical Medicine, New Orleans, LA, USA
- Tulane University Translational Science Institute, New Orleans, LA, USA
| | - Wendy Post
- Department of Medicine, Division of Cardiology, Johns Hopkins University, Baltimore, MD, USA
| | - Donna K. Arnett
- Dean’s Office, College of Public Health, University of Kentucky, Lexington, KY, USA
| | - Ramachandran S. Vasan
- Department of Biostatistics, Boston University School of Public Health, Boston, MA, USA
- National Heart Lung and Blood Institute, Boston University’s Framingham Heart Study, Framingham, MA, USA
- Departments of Cardiology and Preventive Medicine, Department of Medicine, Boston University School of Medicine, Boston, MA, USA
| | - Dawood Darbar
- Division of Cardiology, University of Illinois at Chicago, Chicago, IL, USA
| | - Scott T. Weiss
- Department of Medicine, Harvard Medical School, Boston, MA, USA
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women’s Hospital, Boston, MA, USA
| | - Stephen T. McGarvey
- Department of Epidemiology and International Health Institute, Brown University School of Public Health, Providence, RI, USA
| | - Mariza de Andrade
- Mayo Clinic, Department of Health Sciences Research, Rochester, MN, USA
| | - Yii-Der Ida Chen
- The Institute for Translational Genomics and Population Sciences, Department of Pediatrics, The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance, CA, USA
| | - Robert C. Kaplan
- Department of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, NY, USA
- Fred Hutchinson Cancer Research Center, Division of Public Health Sciences, Seattle, WA, USA
| | - Deborah A. Meyers
- Division of Genetics, Genomics and Precision Medicine, University of Arizona, Tucson, AZ, USA
| | | | - Adolfo Correa
- Departments of Medicine and Population Health Science, University of Mississippi Medical Center, Jackson, MS, USA
| | - Bruce M. Psaty
- Cardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle, WA, USA
- Department of Epidemiology, University of Washington, Seattle, WA, USA
- Department of Health Services, University of Washington, Seattle, WA, USA
| | - Myriam Fornage
- Human Genetics Center, Department of Epidemiology, Human Genetics, and Environmental Sciences, School of Public Health, The University of Texas Health Science Center at Houston, Houston, TX, USA
- Brown Foundation Institute of Molecular Medicine, McGovern Medical School, University of Texas Health Science Center at Houston, Houston, TX, USA
| | - JoAnn E. Manson
- Department of Medicine, Harvard Medical School, Boston, MA, USA
- Department of Medicine, Brigham and Women’s Hospital, Boston, MA, USA
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Eric Boerwinkle
- Center for Statistical Genetics, Department of Biostatistics, University of Michigan School of Public Health, Ann Arbor, MI, USA
| | - Barbara A. Konkle
- Department of Medicine, University of Washington, Seattle, WA, USA
- Bloodworks Northwest, Seattle, WA, USA
| | - Ruth J.F. Loos
- The Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Science, University of Copenhagen, Copenhagen, Denmark
| | - Jerome I. Rotter
- The Institute for Translational Genomics and Population Sciences, Department of Pediatrics, The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance, CA, USA
| | - Edwin K. Silverman
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women’s Hospital, Boston, MA, USA
| | | | - John Danesh
- British Heart Foundation Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
- Health Data Research UK Cambridge, Wellcome Genome Campus and University of Cambridge, Cambridge, UK
- National Institute for Health Research Cambridge Biomedical Research Centre, University of Cambridge and Cambridge University Hospitals, Cambridge, UK
| | - Nilesh J. Samani
- Department of Cardiovascular Sciences, University of Leicester, Leicester, UK
- National Institute for Health Research Leicester Biomedical Research Centre, Glenfield Hospital, Leicester, UK
| | | | - Peter Libby
- Division of Cardiovascular Medicine, Department of Medicine, Brigham and Women’s Hospital, Boston, MA, USA
- Department of Medicine, Harvard Medical School, Boston, MA, USA
| | - Patrick T. Ellinor
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Cardiac Arrhythmia Service and Cardiovascular Research Center, Massachusetts General Hospital, Boston, MA, USA
| | - Nathan Pankratz
- Department of Laboratory Medicine and Pathology, University of Minnesota Medical School, Minneapolis, MN, USA
| | - Benjamin L. Ebert
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
- Howard Hughes Medical Institute, Boston, MA, USA
| | | | - Rasika A. Mathias
- GeneSTAR Research Program, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Ron Do
- The Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Institute for Genomics and Multiscale Biology, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - NHLBI Trans-Omics for Precision Medicine (TOPMed) Consortium
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Cardiovascular Research Center, Massachusetts General Hospital, Boston, MA, USA
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
- Division of Cardiovascular Medicine, Department of Medicine, Brigham and Women’s Hospital, Boston, MA, USA
- Division of Genetic Medicine, Department of Medicine, Vanderbilt University, Nashville, TN, USA
- Department of Biostatistics, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
- Yale University School of Medicine, New Haven, CT, USA
- Department of Laboratory Medicine, Lund University, Lund, Sweden
- Initiative for Research and Education to Advance Community Health, Washington State University, Seattle, WA, USA
- Department of Laboratory Medicine and Pathology, University of Minnesota Medical School, Minneapolis, MN, USA
- Department of Medicine, Harvard Medical School, Boston, MA, USA
- Center for Statistical Genetics, Department of Biostatistics, University of Michigan School of Public Health, Ann Arbor, MI, USA
- Department of Pathology, Harvard Medical School, Boston, MA, USA
- Department of Pathology, Brigham and Women’s Hospital, Boston, MA, USA
- Division of Cardiovascular Medicine, Department of Medicine, Stanford University School of Medicine, Stanford, CA, USA
- Division of Cardiology, Massachusetts General Hospital, Boston, MA, USA
- VA Palo Alto Health Care System, Palo Alto, CA, USA
- Department of Biostatistics, University of Washington, Seattle, WA, USA
- Department of Cardiovascular Sciences, University of Leicester, Leicester, UK
- National Institute for Health Research Leicester Biomedical Research Centre, Glenfield Hospital, Leicester, UK
- Division of Cardiology, Vanderbilt University Medical Center, Nashville, TN, USA
- Department of Human Genetics and South Texas Diabetes and Obesity Institute, University of Texas Rio Grande Valley School of Medicine, Brownsville, TX, USA
- Department of Biochemistry, Wake Forest School of Medicine, Winston-Salem, NC, USA
- Department of Biostatistics, School of Public Health, University of Alabama, Birmingham, AL, USA
- Division of Biomedical Informatics and Personalized Medicine and the Colorado Center for Personalized Medicine, School of Medicine, University of Colorado, Aurora, CO, USA
- Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, MI, USA
- GeneSTAR Research Program, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA
- Department of Medicine, University of Washington, Seattle, WA, USA
- Human Genetics Center, Department of Epidemiology, Human Genetics, and Environmental Sciences, School of Public Health, The University of Texas Health Science Center at Houston, Houston, TX, USA
- Division of Biostatistics, Washington University School of Medicine, St. Louis, MO, USA
- Department of Biostatistics, Boston University School of Public Health, Boston, MA, USA
- Departments of Medicine, Pharmacology, and Biomedical Informatics, Vanderbilt University Medical Center, Nashville, TN, USA
- Ministry of Health, Government of Samoa, Apia, Samoa
- Section of Endocrinology and Metabolism, Department of Medicine, Taipei Veterans General Hospital, Taipei, Taiwan
- School of Medicine, National Yang-Ming University, Taipei, Taiwan
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women’s Hospital, Boston, MA, USA
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina, Chapel Hill, NC, USA
- Vitalant Research Institute, San Francisco, CA, USA
- UCSF, Benioff Children’s Hospital Oakland, Oakland, CA, USA
- Jackson Heart Study, Department of Medicine, University of Mississippi Medical Center, Jackson, MS, USA
- Cardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle, WA, USA
- Division of Cardiology Department of Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
- Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
- Bloodworks Northwest Research Institute, Seattle, WA, USA
- The Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Department of Pathology and Laboratory Medicine, Larner College of Medicine, University of Vermont, Burlington, VT, USA
- Department of Pathology and Biochemistry, University of Vermont College of Medicine, Burlington, VT, USA
- Division of Hematology and Oncology, Weill Cornell Medical College, New York, NY, USA
- Internal Medicine–Nephrology, Wake Forest School of Medicine, Winston-Salem, NC, USA
- Department of Epidemiology, School of Public Health, University of Alabama, Birmingham, AL, USA
- Survey Research Center, Institute for Social Research, University of Michigan, Ann Arbor, MI, USA
- Department of Epidemiology, University of Washington, Seattle, WA, USA
- Kaiser Permanente Washington Health Research Institute, Seattle, WA, USA
- Seattle Epidemiologic Research and Information Center, Department of Veterans Affairs Office of Research and Development, Seattle, WA, USA
- Department of Epidemiology, Tulane University School of Public Health and Tropical Medicine, New Orleans, LA, USA
- Tulane University Translational Science Institute, New Orleans, LA, USA
- National Heart Lung and Blood Institute, Boston University’s Framingham Heart Study, Framingham, MA, USA
- Department of Human Genetics and Biostatistics, University of Pittsburgh, Pittsburgh, PA, USA
- Department of Chronic Disease Epidemiology, Yale University, New Haven, CT, USA
- Department of Human Genetics, University of Pittsburgh, Pittsburgh, PA, USA
- Department of Environmental Health, University of Cincinnati, Cincinnati, OH, USA
- Department of Environmental and Public Health Sciences, University of Cincinnati College of Medicine, Cincinnati, OH, USA
- Department of Health, American Samoa Government, Pago Pago, American Samoa, USA
- Cardiovascular Division, Department of Medicine, Washington University School of Medicine, St. Louis, MO, USA
- Department of Genetics, University of North Carolina, Chapel Hill, NC, USA
- Department of Medicine, Baylor College of Medicine, Houston, TX, USA
- Institute for Genomic Health, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Department of Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Center for Public Health Genomics, University of Virginia, Charlottesville, VA, USA
- Department of Medicine, School of Medicine, University of North Carolina, Chapel Hill, NC, USA
- Channing Division of Network Medicine and Division of Pulmonary and Critical Care Medicine, Department of Medicine, Brigham and Women’s Hospital, Boston, MA, USA
- Division of Hematology/Oncology, Department of Pediatrics, Augusta University, Augusta, GA, USA
- Department of Medicine, University of Maryland School of Medicine, Baltimore, MD, USA
- Geriatrics Research and Education Clinical Center, Baltimore Veterans Administration Medical Center, Baltimore, MD, USA
- Division of Endocrinology, Diabetes and Nutrition, University of Maryland School of Medicine, Baltimore, MD, USA
- Division of Sleep and Circadian Disorders, Department of Medicine, Brigham and Women’s Hospital, Boston, MA, USA
- Department of Medicine, Beth Israel Deaconess Medical Center, Boston, MA, USA
- Regeneron Pharmaceuticals, Tarrytown, NY, USA
- Department of Medicine, Division of Cardiology, Johns Hopkins University, Baltimore, MD, USA
- Dean’s Office, College of Public Health, University of Kentucky, Lexington, KY, USA
- Departments of Cardiology and Preventive Medicine, Department of Medicine, Boston University School of Medicine, Boston, MA, USA
- Division of Cardiology, University of Illinois at Chicago, Chicago, IL, USA
- Department of Epidemiology and International Health Institute, Brown University School of Public Health, Providence, RI, USA
- Mayo Clinic, Department of Health Sciences Research, Rochester, MN, USA
- The Institute for Translational Genomics and Population Sciences, Department of Pediatrics, The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance, CA, USA
- Department of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, NY, USA
- Fred Hutchinson Cancer Research Center, Division of Public Health Sciences, Seattle, WA, USA
- Division of Genetics, Genomics and Precision Medicine, University of Arizona, Tucson, AZ, USA
- Departments of Medicine and Population Health Science, University of Mississippi Medical Center, Jackson, MS, USA
- Department of Health Services, University of Washington, Seattle, WA, USA
- Brown Foundation Institute of Molecular Medicine, McGovern Medical School, University of Texas Health Science Center at Houston, Houston, TX, USA
- Department of Medicine, Brigham and Women’s Hospital, Boston, MA, USA
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Bloodworks Northwest, Seattle, WA, USA
- Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Science, University of Copenhagen, Copenhagen, Denmark
- Fred Hutchinson Cancer Research Center, Seattle, WA, USA
- British Heart Foundation Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
- Health Data Research UK Cambridge, Wellcome Genome Campus and University of Cambridge, Cambridge, UK
- National Institute for Health Research Cambridge Biomedical Research Centre, University of Cambridge and Cambridge University Hospitals, Cambridge, UK
- Department of Pathology, Stanford University, Stanford, CA, USA
- Cardiac Arrhythmia Service and Cardiovascular Research Center, Massachusetts General Hospital, Boston, MA, USA
- Howard Hughes Medical Institute, Boston, MA, USA
- Institute for Genomics and Multiscale Biology, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Pradeep Natarajan
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Cardiovascular Research Center, Massachusetts General Hospital, Boston, MA, USA
- Department of Medicine, Harvard Medical School, Boston, MA, USA
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Anderson JJ, Susser E, Arbeev KG, Yashin AI, Levy D, Verhulst S, Aviv A. Telomere-length dependent T-cell clonal expansion: A model linking ageing to COVID-19 T-cell lymphopenia and mortality. EBioMedicine 2022; 78:103978. [PMID: 35367774 PMCID: PMC8970968 DOI: 10.1016/j.ebiom.2022.103978] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/15/2021] [Revised: 03/15/2022] [Accepted: 03/16/2022] [Indexed: 01/29/2023] Open
Abstract
BACKGROUND Severe COVID-19 T-cell lymphopenia is more common among older adults and entails poor prognosis. Offsetting the decline in T-cell count during COVID-19 demands fast and massive T-cell clonal expansion, which is telomere length (TL)-dependent. METHODS We developed a model of TL-dependent T-cell clonal expansion capacity with age and virtually examined the relation of T-cell clonal expansion with COVID-19 mortality in the general population. FINDINGS The model shows that an individual with average hematopoietic cell TL (HCTL) at age twenty years maintains maximal T-cell clonal expansion capacity until the 6th decade of life when this capacity rapidly declines by more than 90% over the next ten years. The collapse in the T-cell clonal expansion capacity coincides with the steep increase in COVID-19 mortality with age. INTERPRETATION Short HCTL might increase vulnerability of many older adults, and some younger individuals with inherently short HCTL, to COVID-19 T-cell lymphopenia and severe disease. FUNDING A full list of funding bodies that contributed to this study can be found in the Acknowledgements section.
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Affiliation(s)
- James J. Anderson
- School of Aquatic and Fishery Sciences, University of Washington, Seattle, WA 98195, USA,Corresponding author.
| | - Ezra Susser
- Department of Epidemiology, Mailman School of Public Health, Columbia University, New York, NY 10032, USA,New York State Psychiatric Institute, New York, NY 10032, USA
| | - Konstantin G. Arbeev
- Biodemography of Aging Research Unit, Social Science Research Institute, Duke University, Durham, NC 27705, USA
| | - Anatoliy I. Yashin
- Biodemography of Aging Research Unit, Social Science Research Institute, Duke University, Durham, NC 27705, USA
| | - Daniel Levy
- Population Sciences Branch, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD 27705, USA,The Framingham Heart Study, Framingham, MA 01702, USA
| | - Simon Verhulst
- Groningen Institute for Evolutionary Life Sciences, University of Groningen, Groningen, the Netherland
| | - Abraham Aviv
- The Center of Human Development and Aging, New Jersey Medical School, Rutgers University, Newark, NJ 07103, USA
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Shu MJ, Li J, Zhu YC. Genetically predicted telomere length and multiple sclerosis. Mult Scler Relat Disord 2022; 60:103731. [PMID: 35339005 DOI: 10.1016/j.msard.2022.103731] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/26/2021] [Revised: 02/22/2022] [Accepted: 03/05/2022] [Indexed: 11/27/2022]
Abstract
BACKGROUND Previous epidemiological studies have indicated a role for telomere length in multiple sclerosis (MS) severity and phenotype. However, these studies failed to establish the causality between telomere length and MS susceptibility. Hence, we performed two-sample Mendelian randomization (MR) analysis to explore the causal relationship between telomere length and MS susceptibility. METHODS We used data of genetic variants associated with leukocyte telomere length as instrumental variables (IVs), which was identified from the largest and latest genome-wide association study (GWAS) from UK Biobank (UKB) with 472,174 participants. Summary data of MS was obtained from the International Multiple Sclerosis Genetics Consortium. We performed two-sample MR analyses using the inverse-variance weighted method as the primary approach. Other MR approaches, including the MR-Egger, the inverse variance weighted (multiplicative random effects), weighted median, simple median, weighted mode-based methods, and Causal Analysis Using Summary Effect estimates (CAUSE), were also conducted to detect the result robustness. RESULTS The genetic liability to longer telomere length was associated with a higher risk of MS susceptibility (odds ratio [OR] per one-SD telomere length, 1.91; 95% confidence interval [CI], 1.48-2.47; P = 8.04 × 10-7). The results remained consistent across multiple sensitivity analyses. CONCLUSIONS Our study supports the causal relationship between longer telomere length and increased risk of MS susceptibility.
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Affiliation(s)
- Mei-Jun Shu
- Department of Neurology, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Peking Union Medical College and Chinese Academy of Medical Science, No.1 Shuaifuyuan, Wangfujing, Beijing 10073, China
| | - Jiarui Li
- Department of Medical Oncology, Peking Union Medical College Hospital, Peking Union Medical College and Chinese Academy of Medical Science, Beijing 10073, China
| | - Yi-Cheng Zhu
- Department of Neurology, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Peking Union Medical College and Chinese Academy of Medical Science, No.1 Shuaifuyuan, Wangfujing, Beijing 10073, China.
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127
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Morales Berstein F, McCartney DL, Lu AT, Tsilidis KK, Bouras E, Haycock P, Burrows K, Phipps AI, Buchanan DD, Cheng I, Martin RM, Davey Smith G, Relton CL, Horvath S, Marioni RE, Richardson TG, Richmond RC. Assessing the causal role of epigenetic clocks in the development of multiple cancers: a Mendelian randomization study. eLife 2022; 11:e75374. [PMID: 35346416 PMCID: PMC9049976 DOI: 10.7554/elife.75374] [Citation(s) in RCA: 12] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/08/2021] [Accepted: 03/10/2022] [Indexed: 11/13/2022] Open
Abstract
Background Epigenetic clocks have been associated with cancer risk in several observational studies. Nevertheless, it is unclear whether they play a causal role in cancer risk or if they act as a non-causal biomarker. Methods We conducted a two-sample Mendelian randomization (MR) study to examine the genetically predicted effects of epigenetic age acceleration as measured by HannumAge (nine single-nucleotide polymorphisms (SNPs)), Horvath Intrinsic Age (24 SNPs), PhenoAge (11 SNPs), and GrimAge (4 SNPs) on multiple cancers (i.e. breast, prostate, colorectal, ovarian and lung cancer). We obtained genome-wide association data for biological ageing from a meta-analysis (N = 34,710), and for cancer from the UK Biobank (N cases = 2671-13,879; N controls = 173,493-372,016), FinnGen (N cases = 719-8401; N controls = 74,685-174,006) and several international cancer genetic consortia (N cases = 11,348-122,977; N controls = 15,861-105,974). Main analyses were performed using multiplicative random effects inverse variance weighted (IVW) MR. Individual study estimates were pooled using fixed effect meta-analysis. Sensitivity analyses included MR-Egger, weighted median, weighted mode and Causal Analysis using Summary Effect Estimates (CAUSE) methods, which are robust to some of the assumptions of the IVW approach. Results Meta-analysed IVW MR findings suggested that higher GrimAge acceleration increased the risk of colorectal cancer (OR = 1.12 per year increase in GrimAge acceleration, 95% CI 1.04-1.20, p = 0.002). The direction of the genetically predicted effects was consistent across main and sensitivity MR analyses. Among subtypes, the genetically predicted effect of GrimAge acceleration was greater for colon cancer (IVW OR = 1.15, 95% CI 1.09-1.21, p = 0.006), than rectal cancer (IVW OR = 1.05, 95% CI 0.97-1.13, p = 0.24). Results were less consistent for associations between other epigenetic clocks and cancers. Conclusions GrimAge acceleration may increase the risk of colorectal cancer. Findings for other clocks and cancers were inconsistent. Further work is required to investigate the potential mechanisms underlying the results. Funding FMB was supported by a Wellcome Trust PhD studentship in Molecular, Genetic and Lifecourse Epidemiology (224982/Z/22/Z which is part of grant 218495/Z/19/Z). KKT was supported by a Cancer Research UK (C18281/A29019) programme grant (the Integrative Cancer Epidemiology Programme) and by the Hellenic Republic's Operational Programme 'Competitiveness, Entrepreneurship & Innovation' (OΠΣ 5047228). PH was supported by Cancer Research UK (C18281/A29019). RMM was supported by the NIHR Biomedical Research Centre at University Hospitals Bristol and Weston NHS Foundation Trust and the University of Bristol and by a Cancer Research UK (C18281/A29019) programme grant (the Integrative Cancer Epidemiology Programme). RMM is a National Institute for Health Research Senior Investigator (NIHR202411). The views expressed are those of the author(s) and not necessarily those of the NIHR or the Department of Health and Social Care. GDS and CLR were supported by the Medical Research Council (MC_UU_00011/1 and MC_UU_00011/5, respectively) and by a Cancer Research UK (C18281/A29019) programme grant (the Integrative Cancer Epidemiology Programme). REM was supported by an Alzheimer's Society project grant (AS-PG-19b-010) and NIH grant (U01 AG-18-018, PI: Steve Horvath). RCR is a de Pass Vice Chancellor's Research Fellow at the University of Bristol.
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Affiliation(s)
- Fernanda Morales Berstein
- MRC Integrative Epidemiology Unit, University of BristolBristolUnited Kingdom
- Population Health Sciences, Bristol Medical SchoolBristolUnited Kingdom
| | - Daniel L McCartney
- Centre for Genomic and Experimental Medicine, Institute of Genetics and Cancer, University of EdinburghEdinburghUnited Kingdom
| | - Ake T Lu
- Department of Human Genetics, David Geffen School of Medicine, University of California, Los AngelesLos AngelesUnited States
| | - Konstantinos K Tsilidis
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College LondonLondonUnited Kingdom
- Department of Hygiene and Epidemiology, School of Medicine, University of IoanninaIoanninaGreece
| | - Emmanouil Bouras
- Department of Hygiene and Epidemiology, School of Medicine, University of IoanninaIoanninaGreece
| | - Philip Haycock
- MRC Integrative Epidemiology Unit, University of BristolBristolUnited Kingdom
- Population Health Sciences, Bristol Medical SchoolBristolUnited Kingdom
| | - Kimberley Burrows
- MRC Integrative Epidemiology Unit, University of BristolBristolUnited Kingdom
- Population Health Sciences, Bristol Medical SchoolBristolUnited Kingdom
| | - Amanda I Phipps
- Public Health Sciences Division, Fred Hutchinson Cancer Research CenterSeattleUnited States
- Department of Epidemiology, School of Public Health, University of WashingtonSeattleUnited States
| | - Daniel D Buchanan
- Department of Clinical Pathology, Melbourne Medical School, University of MelbourneParkvilleAustralia
| | - Iona Cheng
- Cancer Prevention Institute of CaliforniaFremontUnited States
| | - Richard M Martin
- MRC Integrative Epidemiology Unit, University of BristolBristolUnited Kingdom
- Population Health Sciences, Bristol Medical SchoolBristolUnited Kingdom
- National Institute for Health Research (NIHR) Bristol Biomedical Research Centre, University Hospitals Bristol and Weston NHS Foundation Trust and the University of BristolBristolUnited Kingdom
| | - George Davey Smith
- MRC Integrative Epidemiology Unit, University of BristolBristolUnited Kingdom
- Population Health Sciences, Bristol Medical SchoolBristolUnited Kingdom
| | - Caroline L Relton
- MRC Integrative Epidemiology Unit, University of BristolBristolUnited Kingdom
- Population Health Sciences, Bristol Medical SchoolBristolUnited Kingdom
| | - Steve Horvath
- Department of Human Genetics, David Geffen School of Medicine, University of California, Los AngelesLos AngelesUnited States
- Department of Biostatistics, Fielding School of Public Health, University of California, Los AngelesLos AngelesUnited States
| | - Riccardo E Marioni
- Centre for Genomic and Experimental Medicine, Institute of Genetics and Cancer, University of EdinburghEdinburghUnited Kingdom
| | - Tom G Richardson
- MRC Integrative Epidemiology Unit, University of BristolBristolUnited Kingdom
- Population Health Sciences, Bristol Medical SchoolBristolUnited Kingdom
- Novo Nordisk Research CentreOxfordUnited Kingdom
| | - Rebecca C Richmond
- MRC Integrative Epidemiology Unit, University of BristolBristolUnited Kingdom
- Population Health Sciences, Bristol Medical SchoolBristolUnited Kingdom
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128
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Cheng F, Luk AO, Shi M, Huang C, Jiang G, Yang A, Wu H, Lim CKP, Tam CHT, Fan B, Lau ESH, Ng ACW, Wong KK, Carroll L, Lee HM, Kong AP, Keech AC, Chow E, Joglekar MV, Tsui SKW, So WY, So HC, Hardikar AA, Jenkins AJ, Chan JCN, Ma RCW. Shortened Leukocyte Telomere Length Is Associated With Glycemic Progression in Type 2 Diabetes: A Prospective and Mendelian Randomization Analysis. Diabetes Care 2022; 45:701-709. [PMID: 35085380 PMCID: PMC8918237 DOI: 10.2337/dc21-1609] [Citation(s) in RCA: 34] [Impact Index Per Article: 17.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/03/2021] [Accepted: 12/21/2021] [Indexed: 02/03/2023]
Abstract
OBJECTIVE Several studies support associations between relative leukocyte telomere length (rLTL), a biomarker of biological aging and type 2 diabetes. This study investigates the relationship between rLTL and the risk of glycemic progression in patients with type 2 diabetes. RESEARCH DESIGN AND METHODS In this cohort study, consecutive Chinese patients with type 2 diabetes (N = 5,506) from the Hong Kong Diabetes Register with stored baseline DNA and available follow-up data were studied. rLTL was measured using quantitative PCR. Glycemic progression was defined as the new need for exogenous insulin. RESULTS The mean (SD) age of the 5,349 subjects was 57.0 (13.3) years, and mean (SD) follow-up was 8.8 (5.4) years. Baseline rLTL was significantly shorter in the 1,803 subjects who progressed to insulin requirement compared with the remaining subjects (4.43 ± 1.16 vs. 4.69 ± 1.20). Shorter rLTL was associated with a higher risk of glycemic progression (hazard ratio [95% CI] for each unit decrease [to ∼0.2 kilobases]: 1.10 [1.06-1.14]), which remained significant after adjusting for confounders. Baseline rLTL was independently associated with glycemic exposure during follow-up (β = -0.05 [-0.06 to -0.04]). Each 1-kilobase decrease in absolute LTL was on average associated with a 1.69-fold higher risk of diabetes progression (95% CI 1.35-2.11). Two-sample Mendelian randomization analysis showed per 1-unit genetically decreased rLTL was associated with a 1.38-fold higher risk of diabetes progression (95% CI 1.12-1.70). CONCLUSIONS Shorter rLTL was significantly associated with an increased risk of glycemic progression in individuals with type 2 diabetes, independent of established risk factors. Telomere length may be a useful biomarker for glycemic progression in people with type 2 diabetes.
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Affiliation(s)
- Feifei Cheng
- Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Prince of Wales Hospital, Hong Kong SAR, China
| | - Andrea O Luk
- Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Prince of Wales Hospital, Hong Kong SAR, China.,Hong Kong Institute of Diabetes and Obesity, The Chinese University of Hong Kong, Prince of Wales Hospital, Hong Kong SAR, China.,Li Ka Shing Institute of Health Science, The Chinese University of Hong Kong, Prince of Wales Hospital, Hong Kong SAR, China
| | - Mai Shi
- Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Prince of Wales Hospital, Hong Kong SAR, China
| | - Chuiguo Huang
- Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Prince of Wales Hospital, Hong Kong SAR, China
| | - Guozhi Jiang
- Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Prince of Wales Hospital, Hong Kong SAR, China.,Hong Kong Institute of Diabetes and Obesity, The Chinese University of Hong Kong, Prince of Wales Hospital, Hong Kong SAR, China.,School of Public Health (Shenzhen), Sun Yat-sen University, Shenzhen, Guangdong, People's Republic of China
| | - Aimin Yang
- Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Prince of Wales Hospital, Hong Kong SAR, China.,Hong Kong Institute of Diabetes and Obesity, The Chinese University of Hong Kong, Prince of Wales Hospital, Hong Kong SAR, China
| | - Hongjiang Wu
- Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Prince of Wales Hospital, Hong Kong SAR, China
| | - Cadmon K P Lim
- Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Prince of Wales Hospital, Hong Kong SAR, China.,Li Ka Shing Institute of Health Science, The Chinese University of Hong Kong, Prince of Wales Hospital, Hong Kong SAR, China
| | - Claudia H T Tam
- Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Prince of Wales Hospital, Hong Kong SAR, China.,Hong Kong Institute of Diabetes and Obesity, The Chinese University of Hong Kong, Prince of Wales Hospital, Hong Kong SAR, China.,Li Ka Shing Institute of Health Science, The Chinese University of Hong Kong, Prince of Wales Hospital, Hong Kong SAR, China
| | - Baoqi Fan
- Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Prince of Wales Hospital, Hong Kong SAR, China.,Hong Kong Institute of Diabetes and Obesity, The Chinese University of Hong Kong, Prince of Wales Hospital, Hong Kong SAR, China
| | - Eric S H Lau
- Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Prince of Wales Hospital, Hong Kong SAR, China
| | - Alex C W Ng
- Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Prince of Wales Hospital, Hong Kong SAR, China
| | - Kwun Kiu Wong
- Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Prince of Wales Hospital, Hong Kong SAR, China
| | - Luke Carroll
- NHMRC Clinical Trial Centre, Faculty of Medicine and Health, University of Sydney, Camperdown, New South Wales, Australia
| | - Heung Man Lee
- Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Prince of Wales Hospital, Hong Kong SAR, China.,Li Ka Shing Institute of Health Science, The Chinese University of Hong Kong, Prince of Wales Hospital, Hong Kong SAR, China
| | - Alice P Kong
- Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Prince of Wales Hospital, Hong Kong SAR, China.,Hong Kong Institute of Diabetes and Obesity, The Chinese University of Hong Kong, Prince of Wales Hospital, Hong Kong SAR, China.,Li Ka Shing Institute of Health Science, The Chinese University of Hong Kong, Prince of Wales Hospital, Hong Kong SAR, China
| | - Anthony C Keech
- NHMRC Clinical Trial Centre, Faculty of Medicine and Health, University of Sydney, Camperdown, New South Wales, Australia
| | - Elaine Chow
- Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Prince of Wales Hospital, Hong Kong SAR, China.,Hong Kong Institute of Diabetes and Obesity, The Chinese University of Hong Kong, Prince of Wales Hospital, Hong Kong SAR, China
| | - Mugdha V Joglekar
- NHMRC Clinical Trial Centre, Faculty of Medicine and Health, University of Sydney, Camperdown, New South Wales, Australia.,Diabetes and Islet Biology Group, School of Medicine, Western Sydney University, Campbelltown, New South Wales, Australia
| | - Stephen K W Tsui
- School of Biomedical Sciences, The Chinese University of Hong Kong, Hong Kong SAR, China
| | - Wing Yee So
- Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Prince of Wales Hospital, Hong Kong SAR, China.,Hong Kong Institute of Diabetes and Obesity, The Chinese University of Hong Kong, Prince of Wales Hospital, Hong Kong SAR, China
| | - Hon Cheong So
- School of Biomedical Sciences, The Chinese University of Hong Kong, Hong Kong SAR, China
| | - Anandwardhan A Hardikar
- NHMRC Clinical Trial Centre, Faculty of Medicine and Health, University of Sydney, Camperdown, New South Wales, Australia.,Diabetes and Islet Biology Group, School of Medicine, Western Sydney University, Campbelltown, New South Wales, Australia
| | - Alicia J Jenkins
- NHMRC Clinical Trial Centre, Faculty of Medicine and Health, University of Sydney, Camperdown, New South Wales, Australia
| | - Juliana C N Chan
- Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Prince of Wales Hospital, Hong Kong SAR, China.,Hong Kong Institute of Diabetes and Obesity, The Chinese University of Hong Kong, Prince of Wales Hospital, Hong Kong SAR, China.,Li Ka Shing Institute of Health Science, The Chinese University of Hong Kong, Prince of Wales Hospital, Hong Kong SAR, China.,The Chinese University of Hong Kong-Shanghai Jiao Tong University Joint Research Centre in Diabetes Genomics and Precision Medicine, Prince of Wales Hospital, Hong Kong SAR, China
| | - Ronald C W Ma
- Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Prince of Wales Hospital, Hong Kong SAR, China.,Hong Kong Institute of Diabetes and Obesity, The Chinese University of Hong Kong, Prince of Wales Hospital, Hong Kong SAR, China.,Li Ka Shing Institute of Health Science, The Chinese University of Hong Kong, Prince of Wales Hospital, Hong Kong SAR, China.,The Chinese University of Hong Kong-Shanghai Jiao Tong University Joint Research Centre in Diabetes Genomics and Precision Medicine, Prince of Wales Hospital, Hong Kong SAR, China
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129
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Michaeli J, Smoom R, Serruya N, El Ayoubi H, Rotshenker-Olshinka K, Srebnik N, Michaeli O, Eldar-Geva T, Tzfati Y. Leukocyte Telomere Length Correlates with Extended Female Fertility. Cells 2022; 11:cells11030513. [PMID: 35159322 PMCID: PMC8834216 DOI: 10.3390/cells11030513] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/18/2021] [Revised: 01/23/2022] [Accepted: 01/31/2022] [Indexed: 12/04/2022] Open
Abstract
Current social trends of delayed reproduction to the fourth and fifth decade of life call for a better understanding of reproductive aging. Demographic studies correlated late reproduction with general health and longevity. Telomeres, the protective ends of eukaryotic chromosomes, were implicated in various aging-associated pathologies and longevity. To examine whether telomeres are also associated with reproductive aging, we measured by Southern analysis the terminal restriction fragments (TRF) in leukocytes of women delivering a healthy infant following a spontaneous pregnancy at 43–48 years of age. We compared them to age-matched previously fertile women who failed to conceive above age 41. The average TRF length in the extended fertility group (9350 bp) was significantly longer than in the normal fertility group (8850 bp; p-value = 0.03). Strikingly, excluding women with nine or more children increased the difference between the groups to over 1000 bp (9920 and 8880 bp; p-value = 0.0009). Nevertheless, we observed no apparent effects of pregnancy, delivery, or parity on telomere length. We propose that longer leukocyte telomere length reflects higher oocyte quality, which can compensate for other limiting physiological and behavioral factors and enable successful reproduction. Leukocyte telomere length should be further explored as a novel biomarker of oocyte quality for assessing reproductive potential and integrating family planning with demanding women’s careers.
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Affiliation(s)
- Jennia Michaeli
- Department of Obstetrics and Gynecology, Shaare Zedek Medical Center Affiliated with the Hebrew University School of Medicine, Jerusalem 9103102, Israel; (K.R.-O.); (N.S.); (T.E.-G.)
- Department of Genetics, The Silberman Institute of Life Sciences, The Hebrew University of Jerusalem, Givat Ram, Jerusalem 91904, Israel; (R.S.); (N.S.); (H.E.A.); (O.M.)
- Correspondence: (J.M.); (Y.T.)
| | - Riham Smoom
- Department of Genetics, The Silberman Institute of Life Sciences, The Hebrew University of Jerusalem, Givat Ram, Jerusalem 91904, Israel; (R.S.); (N.S.); (H.E.A.); (O.M.)
| | - Noa Serruya
- Department of Genetics, The Silberman Institute of Life Sciences, The Hebrew University of Jerusalem, Givat Ram, Jerusalem 91904, Israel; (R.S.); (N.S.); (H.E.A.); (O.M.)
| | - Hosniyah El Ayoubi
- Department of Genetics, The Silberman Institute of Life Sciences, The Hebrew University of Jerusalem, Givat Ram, Jerusalem 91904, Israel; (R.S.); (N.S.); (H.E.A.); (O.M.)
| | - Keren Rotshenker-Olshinka
- Department of Obstetrics and Gynecology, Shaare Zedek Medical Center Affiliated with the Hebrew University School of Medicine, Jerusalem 9103102, Israel; (K.R.-O.); (N.S.); (T.E.-G.)
| | - Naama Srebnik
- Department of Obstetrics and Gynecology, Shaare Zedek Medical Center Affiliated with the Hebrew University School of Medicine, Jerusalem 9103102, Israel; (K.R.-O.); (N.S.); (T.E.-G.)
| | - Ofir Michaeli
- Department of Genetics, The Silberman Institute of Life Sciences, The Hebrew University of Jerusalem, Givat Ram, Jerusalem 91904, Israel; (R.S.); (N.S.); (H.E.A.); (O.M.)
| | - Talia Eldar-Geva
- Department of Obstetrics and Gynecology, Shaare Zedek Medical Center Affiliated with the Hebrew University School of Medicine, Jerusalem 9103102, Israel; (K.R.-O.); (N.S.); (T.E.-G.)
| | - Yehuda Tzfati
- Department of Genetics, The Silberman Institute of Life Sciences, The Hebrew University of Jerusalem, Givat Ram, Jerusalem 91904, Israel; (R.S.); (N.S.); (H.E.A.); (O.M.)
- Correspondence: (J.M.); (Y.T.)
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130
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Hägg S, Zhan Y. Telomere research entering the big data era. NATURE AGING 2022; 2:102-104. [PMID: 37117759 DOI: 10.1038/s43587-022-00175-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 04/30/2023]
Affiliation(s)
- Sara Hägg
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden.
| | - Yiqiang Zhan
- Department of Epidemiology, School of Public Health (Shenzhen), Sun Yat-Sen University, Shenzhen, China.
- Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden.
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131
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Kachuri L, Walsh KM. Long telomeres in need of a SNP: Germline contributions of telomere maintenance to glioma. Neuro Oncol 2022; 24:182-183. [PMID: 34758087 PMCID: PMC8804881 DOI: 10.1093/neuonc/noab260] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Affiliation(s)
- Linda Kachuri
- Department of Epidemiology and Biostatistics, University of California, San Francisco, San Francisco, California, USA
| | - Kyle M Walsh
- Division of Neuro-Epidemiology, Department of Neurosurgery, Duke University, Durham, North Carolina, USA
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132
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Wang LN, Wang L, Cheng G, Dai M, Yu Y, Teng G, Zhao J, Xu D. The association of telomere maintenance and TERT expression with susceptibility to human papillomavirus infection in cervical epithelium. Cell Mol Life Sci 2022; 79:110. [PMID: 35098380 PMCID: PMC11072999 DOI: 10.1007/s00018-021-04113-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/15/2021] [Revised: 12/05/2021] [Accepted: 12/21/2021] [Indexed: 11/03/2022]
Abstract
The role of telomerase reverse transcriptase (TERT) induction and telomere maintenance in carcinogenesis including cervical cancer (CC) pathogenesis has been well established. However, it remains unclear whether they affect infection of high-risk human papillomavirus (hrHPV), an initiating event for CC development. Similarly, genetic variants at the TERT locus are shown to be associated with susceptibility to CC, but it is unclear whether these SNPs modify the risk for cervical HPV infection. Here we show that in CC-derived HeLa cells, TERT overexpression inhibits, while its depletion upregulates expression of Syndecan-1 (SDC-1), a key component for HPV entry receptors. The TCGA cohort of CC analyses reveals an inverse correlation between TERT and SDC-1 expression (R = -0.23, P = 0.001). We further recruited 1330 females (520 non-HPV and 810 hrHPV-infected) without CC or high-grade cervical intraepithelial neoplasia to analyze telomeres in cervical epithelial cells and SNPs at rs2736098, rs2736100 and rs2736108, previously identified TERT SNPs for CC risk. Non-infected females exhibited age-related telomere shortening in cervical epithelial cells and their telomeres were significantly longer than those in hrHPV-infected group (1.31 ± 0.62 vs 1.19 ± 0.48, P < 0.001). There were no differences in rs2736098 and rs2736100 genotypes, but non-infected individuals had significantly a higher C-allele frequency (associated with higher TERT expression) while lower T-allele levels at rs2736108 compared with those in the hrHPV group (P = 0.020). Collectively, appropriate telomere maintenance and TERT expression in normal cervical cells may prevent CC by modulating hrHPV infection predisposition, although they are required for CC development and progression.
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Affiliation(s)
- Li-Na Wang
- Central Research Laboratory, The Second Hospital, Cheeloo College of Medicine, Shandong University, Jinan, 250033, People's Republic of China
| | - Li Wang
- Central Research Laboratory, The Second Hospital, Cheeloo College of Medicine, Shandong University, Jinan, 250033, People's Republic of China
| | - Guanghui Cheng
- Central Research Laboratory, The Second Hospital, Cheeloo College of Medicine, Shandong University, Jinan, 250033, People's Republic of China
| | - Mingkai Dai
- Central Research Laboratory, The Second Hospital, Cheeloo College of Medicine, Shandong University, Jinan, 250033, People's Republic of China
| | - Yunhai Yu
- Department of Gynecology, The Second Hospital, Cheeloo College of Medicine, Shandong University, Jinan, 250033, People's Republic of China
| | - Guoxin Teng
- Department of Pathology, The Second Hospital, Cheeloo College of Medicine, Shandong University, Jinan, 250033, People's Republic of China
| | - Jingjie Zhao
- Central Research Laboratory, The Second Hospital, Cheeloo College of Medicine, Shandong University, Jinan, 250033, People's Republic of China.
| | - Dawei Xu
- Division of Hematology, Bioclinicum and Center for Molecular Medicine (CMM), Department of Medicine, Karolinska Institutet and Karolinska University Hospital Solna, 171 64, Solna, Sweden.
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133
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Lv Z, Cui J, Zhang J. Associations between serum urate and telomere length and inflammation markers: Evidence from UK Biobank cohort. Front Immunol 2022; 13:1065739. [PMID: 36591268 PMCID: PMC9797991 DOI: 10.3389/fimmu.2022.1065739] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/10/2022] [Accepted: 11/28/2022] [Indexed: 12/23/2022] Open
Abstract
Objective Hyperuricemia and gout have become gradually more common. The effect of serum urate on organism aging and systematic inflammation is not determined. This study aims to evaluate whether serum urate is causally associated with cellular aging markers and serum inflammation markers. Methods A Mendelian randomization study was performed on summary-level data from the largest published genome-wide association studies. Single nucleotide polymorphisms with a genome-wide significance level were selected as instrumental variables for leukocyte telomere length (LTL), and serum soluble makers of inflammation (CRP, IL-6, TNF-α, and IGF-1). Standard inverse variance weighted (IVW) method was used as the primary statistical method. The weighted median, MR-Egger regression, and MR-PRESSO methods were used for sensitivity analysis. Results An inverse causal association of genetically predicted serum urate levels and LTL was found using IVW method (OR: 0.96, 95%CI 0.95, 0.97; β=-0.040; SE=0.0072; P=4.37×10-8). The association was also supported by MR results using MR-Egger method and weighted median method. The MR-PRESSO analysis and leave-one-out sensitivity analysis supported the robustness of the combined results. In terms of other aging-related serum biomarkers, there was no evidence supporting a causal effect of serum urate on CRP, IL-6, TNF-α, or IGF-1 levels. Conclusions Serum urate levels are negatively associated with telomere length but are not associated with serum soluble indicators of inflammation. Telomere length may be a critical marker that reflects urate-related organismal aging and may be a mechanism in the age-related pathologies and mortality caused by hyperuricemia.
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Affiliation(s)
- Zhengtao Lv
- Department of Orthopedics, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Jiarui Cui
- School of Rehabilitation and Health Preservation, Chengdu University of Traditional Chinese Medicine, Chengdu, China
- *Correspondence: Jiarui Cui, ; Jiaming Zhang,
| | - Jiaming Zhang
- Department of Orthopedics, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
- *Correspondence: Jiarui Cui, ; Jiaming Zhang,
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134
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Li Y, Yang S, Liao M, Zheng Z, Li M, Wei X, Liu M, Yang L. Association between genetically predicted leukocyte telomere length and non-scarring alopecia: A two-sample Mendelian randomization study. Front Immunol 2022; 13:1072573. [PMID: 36798520 PMCID: PMC9926966 DOI: 10.3389/fimmu.2022.1072573] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/17/2022] [Accepted: 12/30/2022] [Indexed: 02/01/2023] Open
Abstract
Background The most commonly acknowledged non-scarring alopecia are androgenetic alopecia (AGA) and alopecia areata (AA). Previous studies have revealed various risk factors associated with alopecia. However, the relationship between leukocyte telomere length (LTL) and non-scarring alopecia remains unclear. Methods A two-sample Mendelian randomization (MR) analysis was performed to evaluate the causality between genetically predicted LTL and the risk of non-scarring alopecia. MR analyses were performed using the inverse variance-weighted (IVW) method and complemented with other MR methods. Results The summary statistics of the genome-wide association studies (GWAS) for AGA and AA were obtained from the FinnGen biobank, which included 119,185 and 211,428 individuals, respectively. A total of 126 single nucleotide polymorphisms (SNPs) with genome-wide significance were selected as the instrumental variables for LTL. The MR analyses suggested a causal relationship between LTL and AGA, and the risk of AGA increased by 3.19 times as the genetically predicted LTL was shortened by one standard deviation in log transformed form under the IVW method (OR = 4.19, 95% CI = 1.20-14.61, p = 0.024). The other MR methods also demonstrated a similar trend of the effect of LTL on AGA. There was no causal relationship between LTL and AA (p > 0.05). Sensitivity analyses further demonstrated that the current results were less likely to be affected by confounders and bias. Conclusion Our results suggested a potential causal relationship between LTL and AGA, and shortened LTL was associated with an increased risk of AGA.
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Affiliation(s)
- Yicheng Li
- Department of Burns, Nanfang Hospital, Southern Medical University, Guangzhou, China
| | - Shuting Yang
- National Clinical Research Center for Metabolic Diseases, Key Laboratory of Diabetes Immunology (Central South University), Ministry of Education, and Department of Metabolism and Endocrinology, The Second Xiangya Hospital of Central South University, Changsha, Hunan, China
| | - Minjun Liao
- Guangdong Provincial Key Laboratory of Gastroenterology, Department of Gastroenterology and Hepatology Unit, Nanfang Hospital, Southern Medical University, Guangzhou, China
| | - Zijun Zheng
- Department of Burns, Nanfang Hospital, Southern Medical University, Guangzhou, China
| | - Mengyao Li
- Department of Burns, Nanfang Hospital, Southern Medical University, Guangzhou, China
| | - Xuerong Wei
- Department of Burns, Nanfang Hospital, Southern Medical University, Guangzhou, China
| | - Mengqian Liu
- Department of Burns, Nanfang Hospital, Southern Medical University, Guangzhou, China
| | - Lei Yang
- Department of Burns, Nanfang Hospital, Southern Medical University, Guangzhou, China
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135
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Liu Y, Huang Y, Liu C, Liu Q. Longer Leukocyte Telomere Length Increases the Risk of Atrial Fibrillation: A Mendelian Randomization Study. Aging Dis 2022; 13:1311-1313. [PMID: 36186140 PMCID: PMC9466970 DOI: 10.14336/ad.2022.02251] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/22/2021] [Accepted: 02/25/2022] [Indexed: 11/20/2022] Open
Affiliation(s)
- Yaozhong Liu
- Department of Cardiovascular Medicine, Second Xiangya Hospital, Central South University, Hunan, China.
| | - Yunying Huang
- Department of Cardiovascular Medicine, Second Xiangya Hospital, Central South University, Hunan, China.
| | - Chan Liu
- Department of International Medicine, Second Xiangya Hospital, Central South University, Hunan, China.
- Correspondence should be addressed to: Dr. Qiming Liu (E-mail: ) and Dr. Chan Liu (), Second Xiangya Hospital, Central South University, Hunan, China
| | - Qiming Liu
- Department of Cardiovascular Medicine, Second Xiangya Hospital, Central South University, Hunan, China.
- Correspondence should be addressed to: Dr. Qiming Liu (E-mail: ) and Dr. Chan Liu (), Second Xiangya Hospital, Central South University, Hunan, China
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136
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Ingold N, Dusingize JC, Neale RE, Olsen CM, Whiteman DC, Duffy DL, MacGregor S, Law MH. Examining Evidence For A Causal Association Between Telomere Length & Nevus Count. J Invest Dermatol 2021; 142:1502-1505.e6. [PMID: 34656614 DOI: 10.1016/j.jid.2021.09.021] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/27/2021] [Revised: 09/20/2021] [Accepted: 09/24/2021] [Indexed: 11/26/2022]
Affiliation(s)
- Nathan Ingold
- Statistical Genetics, QIMR Berghofer Medical Research Institute, Brisbane, QLD, Australia; School of Biomedical Sciences, Faculty of Health, Queensland University of Technology, Brisbane, Queensland, Australia.
| | - Jean Claude Dusingize
- Department of Population Health, QIMR Berghofer Medical Research Institute, Brisbane, Queensland, Australia
| | - Rachel E Neale
- Department of Population Health, QIMR Berghofer Medical Research Institute, Brisbane, Queensland, Australia; School of Public Health, University of Queensland, Queensland, Australia. This works was carried out in Brisbane, Queensland, Australia
| | - Catherine M Olsen
- Department of Population Health, QIMR Berghofer Medical Research Institute, Brisbane, Queensland, Australia; Faculty of Medicine, The University of Queensland, Herston, Queensland, Australia
| | - David C Whiteman
- Department of Population Health, QIMR Berghofer Medical Research Institute, Brisbane, Queensland, Australia; Faculty of Medicine, The University of Queensland, Herston, Queensland, Australia
| | - David L Duffy
- Genetic Epidemiology, QIMR Berghofer Medical Research Institute, Brisbane, QLD, Australia
| | - Stuart MacGregor
- Statistical Genetics, QIMR Berghofer Medical Research Institute, Brisbane, QLD, Australia
| | - Matthew H Law
- Statistical Genetics, QIMR Berghofer Medical Research Institute, Brisbane, QLD, Australia; School of Biomedical Sciences, Faculty of Health, Queensland University of Technology, Brisbane, Queensland, Australia
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Hecker M, Bühring J, Fitzner B, Rommer PS, Zettl UK. Genetic, Environmental and Lifestyle Determinants of Accelerated Telomere Attrition as Contributors to Risk and Severity of Multiple Sclerosis. Biomolecules 2021; 11:1510. [PMID: 34680143 PMCID: PMC8533505 DOI: 10.3390/biom11101510] [Citation(s) in RCA: 20] [Impact Index Per Article: 6.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/02/2021] [Revised: 10/01/2021] [Accepted: 10/08/2021] [Indexed: 02/06/2023] Open
Abstract
Telomeres are protective structures at the ends of linear chromosomes. Shortened telomere lengths (TL) are an indicator of premature biological aging and have been associated with a wide spectrum of disorders, including multiple sclerosis (MS). MS is a chronic inflammatory, demyelinating and neurodegenerative disease of the central nervous system. The exact cause of MS is still unclear. Here, we provide an overview of genetic, environmental and lifestyle factors that have been described to influence TL and to contribute to susceptibility to MS and possibly disease severity. We show that several early-life factors are linked to both reduced TL and higher risk of MS, e.g., adolescent obesity, lack of physical activity, smoking and vitamin D deficiency. This suggests that the mechanisms underlying the disease are connected to cellular aging and senescence promoted by increased inflammation and oxidative stress. Additional prospective research is needed to clearly define the extent to which lifestyle changes can slow down disease progression and prevent accelerated telomere loss in individual patients. It is also important to further elucidate the interactions between shared determinants of TL and MS. In future, cell type-specific studies and advanced TL measurement methods could help to better understand how telomeres may be causally involved in disease processes and to uncover novel opportunities for improved biomarkers and therapeutic interventions in MS.
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Affiliation(s)
- Michael Hecker
- Division of Neuroimmunology, Department of Neurology, Rostock University Medical Center, Gehlsheimer Str. 20, 18147 Rostock, Germany; (J.B.); (B.F.); (P.S.R.); (U.K.Z.)
| | - Jan Bühring
- Division of Neuroimmunology, Department of Neurology, Rostock University Medical Center, Gehlsheimer Str. 20, 18147 Rostock, Germany; (J.B.); (B.F.); (P.S.R.); (U.K.Z.)
| | - Brit Fitzner
- Division of Neuroimmunology, Department of Neurology, Rostock University Medical Center, Gehlsheimer Str. 20, 18147 Rostock, Germany; (J.B.); (B.F.); (P.S.R.); (U.K.Z.)
| | - Paulus Stefan Rommer
- Division of Neuroimmunology, Department of Neurology, Rostock University Medical Center, Gehlsheimer Str. 20, 18147 Rostock, Germany; (J.B.); (B.F.); (P.S.R.); (U.K.Z.)
- Department of Neurology, Medical University of Vienna, Währinger Gürtel 18–20, 1090 Vienna, Austria
| | - Uwe Klaus Zettl
- Division of Neuroimmunology, Department of Neurology, Rostock University Medical Center, Gehlsheimer Str. 20, 18147 Rostock, Germany; (J.B.); (B.F.); (P.S.R.); (U.K.Z.)
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