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Zhang J, Wen J, Dai Z, Zhang H, Zhang N, Lei R, Liu Z, Peng L, Cheng Q. Causal association and shared genetics between telomere length and COVID-19 outcomes: New evidence from the latest large-scale summary statistics. Comput Struct Biotechnol J 2024; 23:2429-2441. [PMID: 38882679 PMCID: PMC11176559 DOI: 10.1016/j.csbj.2024.05.012] [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: 11/13/2023] [Revised: 04/24/2024] [Accepted: 05/07/2024] [Indexed: 06/18/2024] Open
Abstract
Background Observational studies suggested that leukocyte telomere length (LTL) is shortened in COVID-19 patients. However, the genetic association and causality remained unknown. Methods Based on the genome-wide association of LTL (N = 472,174) and COVID-19 phenotypes (N = 1086,211-2597,856), LDSC and SUPERGNOVA were used to estimate the genetic correlation. Cross-trait GWAS meta-analysis, colocalization, fine-mapping analysis, and transcriptome-wide association study were conducted to explore the shared genetic etiology. Mendelian randomization (MR) was utilized to infer the causality. Upstream and downstream two-step MR was performed to investigate the potential mediating effects. Results LDSC identified a significant genetic association between LTL and all COVID-19 phenotypes (rG < 0, p < 0.05). Six significant regions were observed for LTL and COVID-19 susceptibility and hospitalization, respectively. Colocalization analysis found rs144204502, rs34517439, and rs56255908 were shared causal variants between LTL and COVID-19 phenotypes. Numerous biological pathways associated with LTL and COVID-19 outcomes were identified, mainly involved in -immune-related pathways. MR showed that longer LTL was significantly associated with a lower risk of COVID-19 severity (OR [95% CI] = 0.81 [0.71-0.92], p = 1.24 ×10-3) and suggestively associated with lower risks of COVID-19 susceptibility (OR [95% CI] = 0.96 [0.92-1.00], p = 3.44 ×10-2) and COVID-19 hospitalization (OR [95% CI] = 0.89 [0.80-0.98], p = 1.89 ×10-2). LTL partially mediated the effects of BMI, smoking, and education on COVID-19 outcomes. Furthermore, six proteins partially mediated the causality of LTL on COVID-19 outcomes, including BNDF, QPCT, FAS, MPO, SFTPB, and APOF. Conclusions Our findings suggested that shorter LTL was genetically associated with a higher risk of COVID-19 phenotypes, with shared genetic etiology and potential causality.
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Affiliation(s)
- Jingwei Zhang
- Department of Neurosurgery, Xiangya Hospital, Central South University, Changsha, China
- Hypothalamic Pituitary Research Centre, Xiangya Hospital, Central South University, Changsha, China
- National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, China
| | - Jie Wen
- Department of Neurosurgery, Xiangya Hospital, Central South University, Changsha, China
- Hypothalamic Pituitary Research Centre, Xiangya Hospital, Central South University, Changsha, China
- National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, China
| | - Ziyu Dai
- Department of Neurosurgery, Xiangya Hospital, Central South University, Changsha, China
- Hypothalamic Pituitary Research Centre, Xiangya Hospital, Central South University, Changsha, China
- National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, China
| | - Hao Zhang
- Department of Neurosurgery, The Second Affiliated Hospital, Chongqing Medical University, Chongqing, China
| | - Nan Zhang
- College of Life Science and Technology, Huazhong University of Science and Technology, Wuhan, China
| | - Ruoyan Lei
- Xiangya School of Public Health, Central South University, Changsha, China
| | - Zhixiong Liu
- Department of Neurosurgery, Xiangya Hospital, Central South University, Changsha, China
- Hypothalamic Pituitary Research Centre, Xiangya Hospital, Central South University, Changsha, China
- National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, China
| | - Luo Peng
- Department of Oncology, Zhujiang Hospital, Southern Medical University, Guangzhou, China
| | - Quan Cheng
- Department of Neurosurgery, Xiangya Hospital, Central South University, Changsha, China
- Hypothalamic Pituitary Research Centre, Xiangya Hospital, Central South University, Changsha, China
- National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, China
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Muiño E, Carcel-Marquez J, Llucià-Carol L, Gallego-Fabrega C, Cullell N, Lledós M, Martín-Campos JM, Villatoro-González P, Sierra-Marcos A, Ros-Castelló V, Aguilera-Simón A, Marti-Fabregas J, Fernandez-Cadenas I. Identification of Genetic Loci Associated With Intracerebral Hemorrhage Using a Multitrait Analysis Approach. Neurology 2024; 103:e209666. [PMID: 39298701 PMCID: PMC11446162 DOI: 10.1212/wnl.0000000000209666] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/05/2024] [Accepted: 05/15/2024] [Indexed: 09/22/2024] Open
Abstract
BACKGROUND AND OBJECTIVES Genome-wide association studies (GWASs) have only 2 loci associated with spontaneous intracerebral hemorrhage (ICH): APOE for lobar and 1q22 for nonlobar ICH. We aimed to discover new loci through an analysis that combines correlated traits (multi-trait analysis of GWAS [MTAG]) and explore a gene-based analysis, transcriptome-wide association study (TWAS), and proteome-wide association study (PWAS) to understand the biological mechanisms of spontaneous ICH providing potential therapeutic targets. METHODS We use the published MTAG of ICH (patients with spontaneous intraparenchymal bleeding) and small-vessel ischemic stroke. For all ICH, lobar ICH, and nonlobar ICH, a pairwise MTAG combined ICH with traits related to cardiovascular risk factors, cerebrovascular diseases, or Alzheimer disease (AD). For the analysis, we assembled those traits with a genetic correlation ≥0.3. A new MTAG combining multiple traits was performed with those traits whose pairwise MTAG yielded new GWAS-significant single nucleotide polymorphisms (SNPs), with a posterior-probability of model 3 (GWAS-pairwise) ≥0.6. We perform TWAS and PWAS that correlate the genetic component of expression or protein levels with the genetic component of a trait. We use the ICH cohort from UK Biobank as replication. RESULTS For all ICH (1,543 ICH, 1,711 controls), the mean age was 72 ± 2 in cases and 70 ± 2 in controls, and half of them were women. Replication cohort: 700 ICH and 399,717 controls. Novel loci were found only for all ICH (the trait containing lobar and nonlobar ICH), combining data of ICH and small vessel stroke, white matter hyperintensities volume, fractional anisotropy, mean diffusivity, and AD. We replicated 6 SNPs belonging to 2q33.2 (ICA1L, β = 0.20, SE = 0.03, p value = 8.91 × 10-12), 10q24.33 (OBFC1, β = -0.12, SE = 0.02, p value = 1.67 × 10-8), 13q34 (COL4A2, β = 0.02, SE = 0.02, p value = 2.34 × 10-11), and 19q13.32 (APOC1, β = -0.19, SE = 0.03, p value = 1.38 × 10-12; APOE, β = 0.21, SE = 0.03, p value = 2.70 × 10-11; PVRL2:CTB-129P6.4, β = 0.15, SE = 0.03, p value = 1.38 × 10-8); 2 genes (SH3PXD2A, Z-score = 4.83, p value = 6.67 × 10-7; and APOC1, Z-score: = 5.11, p value = 1.60 × 10-7); and ICA1L transcript (Z-score = 6.8, p value = 9.1 × 10-12) and protein levels (Z-score = -5.8, p value = 6.7 × 10-9). DISCUSSION Our results reinforce the role of APOE in ICH risk, replicate previous ICH-associated loci (2q33 and 13q34), and point to new ICH associations with OBFC1, PVRL2:CTB-129P6.4, APOC1, and SH3PXD2A. Our study used data from European subjects, our main limitation. These molecules could be potential targets for future studies for modulating ICH risk.
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Affiliation(s)
- Elena Muiño
- From the Stroke Pharmacogenomics and Genetics Group (E.M., J.C.-M., L.L.-C., C.G.-F., N.C., M.L.L., J.M.M.-C., P.V.-G., I.F.-C.), Biomedical Research Institute Sant Pau (IIB SANT PAU); Epilepsy Unit (E.M., A.S.-M., V.R.-C.), Neurology Service, Hospital de la Santa Creu i Sant Pau, Barcelona; Stroke Pharmacogenomics and Genetics (N.C.), Fundació MútuaTerrassa per la Docència i la Recerca; and Department of Neurology (C.G.-F., A.A.-S., J.M.-F.), Hospital de la Santa Creu i Sant Pau, IIB SANT PAU, Barcelona, Spain
| | - Jara Carcel-Marquez
- From the Stroke Pharmacogenomics and Genetics Group (E.M., J.C.-M., L.L.-C., C.G.-F., N.C., M.L.L., J.M.M.-C., P.V.-G., I.F.-C.), Biomedical Research Institute Sant Pau (IIB SANT PAU); Epilepsy Unit (E.M., A.S.-M., V.R.-C.), Neurology Service, Hospital de la Santa Creu i Sant Pau, Barcelona; Stroke Pharmacogenomics and Genetics (N.C.), Fundació MútuaTerrassa per la Docència i la Recerca; and Department of Neurology (C.G.-F., A.A.-S., J.M.-F.), Hospital de la Santa Creu i Sant Pau, IIB SANT PAU, Barcelona, Spain
| | - Laia Llucià-Carol
- From the Stroke Pharmacogenomics and Genetics Group (E.M., J.C.-M., L.L.-C., C.G.-F., N.C., M.L.L., J.M.M.-C., P.V.-G., I.F.-C.), Biomedical Research Institute Sant Pau (IIB SANT PAU); Epilepsy Unit (E.M., A.S.-M., V.R.-C.), Neurology Service, Hospital de la Santa Creu i Sant Pau, Barcelona; Stroke Pharmacogenomics and Genetics (N.C.), Fundació MútuaTerrassa per la Docència i la Recerca; and Department of Neurology (C.G.-F., A.A.-S., J.M.-F.), Hospital de la Santa Creu i Sant Pau, IIB SANT PAU, Barcelona, Spain
| | - Cristina Gallego-Fabrega
- From the Stroke Pharmacogenomics and Genetics Group (E.M., J.C.-M., L.L.-C., C.G.-F., N.C., M.L.L., J.M.M.-C., P.V.-G., I.F.-C.), Biomedical Research Institute Sant Pau (IIB SANT PAU); Epilepsy Unit (E.M., A.S.-M., V.R.-C.), Neurology Service, Hospital de la Santa Creu i Sant Pau, Barcelona; Stroke Pharmacogenomics and Genetics (N.C.), Fundació MútuaTerrassa per la Docència i la Recerca; and Department of Neurology (C.G.-F., A.A.-S., J.M.-F.), Hospital de la Santa Creu i Sant Pau, IIB SANT PAU, Barcelona, Spain
| | - Natalia Cullell
- From the Stroke Pharmacogenomics and Genetics Group (E.M., J.C.-M., L.L.-C., C.G.-F., N.C., M.L.L., J.M.M.-C., P.V.-G., I.F.-C.), Biomedical Research Institute Sant Pau (IIB SANT PAU); Epilepsy Unit (E.M., A.S.-M., V.R.-C.), Neurology Service, Hospital de la Santa Creu i Sant Pau, Barcelona; Stroke Pharmacogenomics and Genetics (N.C.), Fundació MútuaTerrassa per la Docència i la Recerca; and Department of Neurology (C.G.-F., A.A.-S., J.M.-F.), Hospital de la Santa Creu i Sant Pau, IIB SANT PAU, Barcelona, Spain
| | - Miquel Lledós
- From the Stroke Pharmacogenomics and Genetics Group (E.M., J.C.-M., L.L.-C., C.G.-F., N.C., M.L.L., J.M.M.-C., P.V.-G., I.F.-C.), Biomedical Research Institute Sant Pau (IIB SANT PAU); Epilepsy Unit (E.M., A.S.-M., V.R.-C.), Neurology Service, Hospital de la Santa Creu i Sant Pau, Barcelona; Stroke Pharmacogenomics and Genetics (N.C.), Fundació MútuaTerrassa per la Docència i la Recerca; and Department of Neurology (C.G.-F., A.A.-S., J.M.-F.), Hospital de la Santa Creu i Sant Pau, IIB SANT PAU, Barcelona, Spain
| | - Jesús M Martín-Campos
- From the Stroke Pharmacogenomics and Genetics Group (E.M., J.C.-M., L.L.-C., C.G.-F., N.C., M.L.L., J.M.M.-C., P.V.-G., I.F.-C.), Biomedical Research Institute Sant Pau (IIB SANT PAU); Epilepsy Unit (E.M., A.S.-M., V.R.-C.), Neurology Service, Hospital de la Santa Creu i Sant Pau, Barcelona; Stroke Pharmacogenomics and Genetics (N.C.), Fundació MútuaTerrassa per la Docència i la Recerca; and Department of Neurology (C.G.-F., A.A.-S., J.M.-F.), Hospital de la Santa Creu i Sant Pau, IIB SANT PAU, Barcelona, Spain
| | - Paula Villatoro-González
- From the Stroke Pharmacogenomics and Genetics Group (E.M., J.C.-M., L.L.-C., C.G.-F., N.C., M.L.L., J.M.M.-C., P.V.-G., I.F.-C.), Biomedical Research Institute Sant Pau (IIB SANT PAU); Epilepsy Unit (E.M., A.S.-M., V.R.-C.), Neurology Service, Hospital de la Santa Creu i Sant Pau, Barcelona; Stroke Pharmacogenomics and Genetics (N.C.), Fundació MútuaTerrassa per la Docència i la Recerca; and Department of Neurology (C.G.-F., A.A.-S., J.M.-F.), Hospital de la Santa Creu i Sant Pau, IIB SANT PAU, Barcelona, Spain
| | - Alba Sierra-Marcos
- From the Stroke Pharmacogenomics and Genetics Group (E.M., J.C.-M., L.L.-C., C.G.-F., N.C., M.L.L., J.M.M.-C., P.V.-G., I.F.-C.), Biomedical Research Institute Sant Pau (IIB SANT PAU); Epilepsy Unit (E.M., A.S.-M., V.R.-C.), Neurology Service, Hospital de la Santa Creu i Sant Pau, Barcelona; Stroke Pharmacogenomics and Genetics (N.C.), Fundació MútuaTerrassa per la Docència i la Recerca; and Department of Neurology (C.G.-F., A.A.-S., J.M.-F.), Hospital de la Santa Creu i Sant Pau, IIB SANT PAU, Barcelona, Spain
| | - Victoria Ros-Castelló
- From the Stroke Pharmacogenomics and Genetics Group (E.M., J.C.-M., L.L.-C., C.G.-F., N.C., M.L.L., J.M.M.-C., P.V.-G., I.F.-C.), Biomedical Research Institute Sant Pau (IIB SANT PAU); Epilepsy Unit (E.M., A.S.-M., V.R.-C.), Neurology Service, Hospital de la Santa Creu i Sant Pau, Barcelona; Stroke Pharmacogenomics and Genetics (N.C.), Fundació MútuaTerrassa per la Docència i la Recerca; and Department of Neurology (C.G.-F., A.A.-S., J.M.-F.), Hospital de la Santa Creu i Sant Pau, IIB SANT PAU, Barcelona, Spain
| | - Ana Aguilera-Simón
- From the Stroke Pharmacogenomics and Genetics Group (E.M., J.C.-M., L.L.-C., C.G.-F., N.C., M.L.L., J.M.M.-C., P.V.-G., I.F.-C.), Biomedical Research Institute Sant Pau (IIB SANT PAU); Epilepsy Unit (E.M., A.S.-M., V.R.-C.), Neurology Service, Hospital de la Santa Creu i Sant Pau, Barcelona; Stroke Pharmacogenomics and Genetics (N.C.), Fundació MútuaTerrassa per la Docència i la Recerca; and Department of Neurology (C.G.-F., A.A.-S., J.M.-F.), Hospital de la Santa Creu i Sant Pau, IIB SANT PAU, Barcelona, Spain
| | - Joan Marti-Fabregas
- From the Stroke Pharmacogenomics and Genetics Group (E.M., J.C.-M., L.L.-C., C.G.-F., N.C., M.L.L., J.M.M.-C., P.V.-G., I.F.-C.), Biomedical Research Institute Sant Pau (IIB SANT PAU); Epilepsy Unit (E.M., A.S.-M., V.R.-C.), Neurology Service, Hospital de la Santa Creu i Sant Pau, Barcelona; Stroke Pharmacogenomics and Genetics (N.C.), Fundació MútuaTerrassa per la Docència i la Recerca; and Department of Neurology (C.G.-F., A.A.-S., J.M.-F.), Hospital de la Santa Creu i Sant Pau, IIB SANT PAU, Barcelona, Spain
| | - Israel Fernandez-Cadenas
- From the Stroke Pharmacogenomics and Genetics Group (E.M., J.C.-M., L.L.-C., C.G.-F., N.C., M.L.L., J.M.M.-C., P.V.-G., I.F.-C.), Biomedical Research Institute Sant Pau (IIB SANT PAU); Epilepsy Unit (E.M., A.S.-M., V.R.-C.), Neurology Service, Hospital de la Santa Creu i Sant Pau, Barcelona; Stroke Pharmacogenomics and Genetics (N.C.), Fundació MútuaTerrassa per la Docència i la Recerca; and Department of Neurology (C.G.-F., A.A.-S., J.M.-F.), Hospital de la Santa Creu i Sant Pau, IIB SANT PAU, Barcelona, Spain
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Wang S, Yue Y, Wang X, Tan Y, Zhang Q. SCARF2 is a target for chronic obstructive pulmonary disease: Evidence from multi-omics research and cohort validation. Aging Cell 2024; 23:e14266. [PMID: 38958042 PMCID: PMC11464143 DOI: 10.1111/acel.14266] [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: 04/16/2024] [Accepted: 06/14/2024] [Indexed: 07/04/2024] Open
Abstract
Age-related chronic inflammatory lung diseases impose a threat on public health, including idiopathic pulmonary fibrosis (IPF) and chronic obstructive pulmonary disease (COPD). However, their etiology and potential targets have not been clarified. We performed genome-wide meta-analysis for IPF with the largest sample size (2883 cases and 741,929 controls) and leveraged the summary statistics of COPD (17,547 cases and 617,598 controls). Transcriptome-wide and proteome-wide Mendelian randomization (MR) designs, together with genetic colocalization, were implemented to find robust targets. The mediation effect was assessed using leukocyte telomere length (LTL). The single-cell transcriptome analysis was performed to link targets with cell types. Individual-level data from UK Biobank (UKB) were used to validate our findings. Sixteen genetically predicted plasma proteins were causally associated with the risk of IPF and 6 proteins were causally associated with COPD. Therein, genetically-elevated plasma level of SCARF2 protein should reduce the risk of both IPF (odds ratio, OR = 0.9974 [0.9970, 0.9978]) and COPD (OR = 0.7431 [0.6253, 0.8831]) and such effects were not mediated by LTL. Genetic colocalization further corroborated these MR results of SCARF2. The transcriptome-wide MR confirmed that higher expression level of SCARF2 was associated with a reduced risk of both. However, the single-cell RNA analysis indicated that SCARF2 expression level was only relatively lower in epithelial cells of COPD lung tissue compared to normal lung tissue. UKB data implicated an inverse association of serum SCARF2 protein with COPD (hazard ratio, HR = 1.215 [1.106, 1.335]). The SCARF2 gene should be a novel target for COP.
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Affiliation(s)
- Sai Wang
- Department of OtorhinolaryngologyThe First Hospital of China Medical UniversityShenyangChina
| | - Yuanyi Yue
- Department of GastroenterologyShengjing Hospital of China Medical UniversityShenyangChina
| | - Xueqing Wang
- Department of GastroenterologyShengjing Hospital of China Medical UniversityShenyangChina
| | - Yue Tan
- Department of GastroenterologyShengjing Hospital of China Medical UniversityShenyangChina
| | - Qiang Zhang
- Department of Pulmonary and Critical Care MedicineShengjing Hospital of China Medical UniversityShenyangChina
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Huang Y, Li H, Liang R, Chen J, Tang Q. The influence of sex-specific factors on biological transformations and health outcomes in aging processes. Biogerontology 2024; 25:775-791. [PMID: 39001953 PMCID: PMC11374838 DOI: 10.1007/s10522-024-10121-x] [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: 05/06/2024] [Accepted: 07/09/2024] [Indexed: 07/15/2024]
Abstract
The aging process demonstrates notable differences between males and females, which are key factors in disease susceptibility and lifespan. The differences in sex chromosomes are fundamental to the presence of sex bias in organisms. Moreover, sex-specific epigenetic modifications and changes in sex hormone levels impact the development of immunity differently during embryonic development and beyond. Mitochondria, telomeres, homeodynamic space, and intestinal flora are intricately connected to sex differences in aging. These elements can have diverse effects on men and women, resulting in unique biological transformations and health outcomes as they grow older. This review explores how sex interacts with these elements and shapes the aging process.
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Affiliation(s)
- Yongyin Huang
- Heilongjiang University of Chinese Medicine, Harbin, 150040, Heilongjiang, China
| | - Hongyu Li
- Heilongjiang University of Chinese Medicine, Harbin, 150040, Heilongjiang, China
| | - Runyu Liang
- Heilongjiang University of Chinese Medicine, Harbin, 150040, Heilongjiang, China
| | - Jia Chen
- Heilongjiang University of Chinese Medicine, Harbin, 150040, Heilongjiang, China
| | - Qiang Tang
- Heilongjiang University of Chinese Medicine, Harbin, 150040, Heilongjiang, China.
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Liu WS, Wu BS, Yang L, Chen SD, Zhang YR, Deng YT, Wu XR, He XY, Yang J, Feng JF, Cheng W, Xu YM, Yu JT. Whole exome sequencing analyses reveal novel genes in telomere length and their biomedical implications. GeroScience 2024; 46:5365-5385. [PMID: 38837026 PMCID: PMC11336033 DOI: 10.1007/s11357-024-01203-2] [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: 12/29/2023] [Accepted: 05/11/2024] [Indexed: 06/06/2024] Open
Abstract
Telomere length is a putative biomarker of aging and is associated with multiple age-related diseases. There are limited data on the landscape of rare genetic variations in telomere length. Here, we systematically characterize the rare variant associations with leukocyte telomere length (LTL) through exome-wide association study (ExWAS) among 390,231 individuals in the UK Biobank. We identified 18 robust rare-variant genes for LTL, most of which estimated effects on LTL were significant (> 0.2 standard deviation per allele). The biological functions of the rare-variant genes were associated with telomere maintenance and capping and several genes were specifically expressed in the testis. Three novel genes (ASXL1, CFAP58, and TET2) associated with LTL were identified. Phenotypic association analyses indicated significant associations of ASXL1 and TET2 with cancers, age-related diseases, blood assays, and cardiovascular traits. Survival analyses suggested that carriers of ASXL1 or TET2 variants were at increased risk for cancers; diseases of the circulatory, respiratory, and genitourinary systems; and all-cause and cause-specific deaths. The CFAP58 carriers were at elevated risk of deaths due to cancers. Collectively, the present whole exome sequencing study provides novel insights into the genetic landscape of LTL, identifying novel genes associated with LTL and their implications on human health and facilitating a better understanding of aging, thus pinpointing the genetic relevance of LTL with clonal hematopoiesis, biomedical traits, and health-related outcomes.
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Affiliation(s)
- Wei-Shi Liu
- Department of Neurology and National Center for Neurological Diseases, Huashan Hospital, State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Shanghai Medical College, Fudan University, 12Th Wulumuqi Zhong Road, Shanghai, 200040, China
| | - Bang-Sheng Wu
- Department of Neurology and National Center for Neurological Diseases, Huashan Hospital, State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Shanghai Medical College, Fudan University, 12Th Wulumuqi Zhong Road, Shanghai, 200040, China
| | - Liu Yang
- Department of Neurology and National Center for Neurological Diseases, Huashan Hospital, State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Shanghai Medical College, Fudan University, 12Th Wulumuqi Zhong Road, Shanghai, 200040, China
| | - Shi-Dong Chen
- Department of Neurology and National Center for Neurological Diseases, Huashan Hospital, State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Shanghai Medical College, Fudan University, 12Th Wulumuqi Zhong Road, Shanghai, 200040, China
| | - Ya-Ru Zhang
- Department of Neurology and National Center for Neurological Diseases, Huashan Hospital, State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Shanghai Medical College, Fudan University, 12Th Wulumuqi Zhong Road, Shanghai, 200040, China
| | - Yue-Ting Deng
- Department of Neurology and National Center for Neurological Diseases, Huashan Hospital, State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Shanghai Medical College, Fudan University, 12Th Wulumuqi Zhong Road, Shanghai, 200040, China
| | - Xin-Rui Wu
- Department of Neurology and National Center for Neurological Diseases, Huashan Hospital, State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Shanghai Medical College, Fudan University, 12Th Wulumuqi Zhong Road, Shanghai, 200040, China
| | - Xiao-Yu He
- Department of Neurology and National Center for Neurological Diseases, Huashan Hospital, State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Shanghai Medical College, Fudan University, 12Th Wulumuqi Zhong Road, Shanghai, 200040, China
| | - Jing Yang
- Department of Neurology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou University, 1St Eastern Jianshe Road, Zhengzhou, 450000, China
- NHC Key Laboratory of Prevention and Treatment of Cerebrovascular Diseases, Zhengzhou, China
| | - Jian-Feng Feng
- Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai, China
- Key Laboratory of Computational Neuroscience and Brain-Inspired Intelligence (Fudan University), Ministry of Education, Shanghai, China
- Department of Computer Science, University of Warwick, Coventry, UK
| | - Wei Cheng
- Department of Neurology and National Center for Neurological Diseases, Huashan Hospital, State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Shanghai Medical College, Fudan University, 12Th Wulumuqi Zhong Road, Shanghai, 200040, China
- Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai, China
- Key Laboratory of Computational Neuroscience and Brain-Inspired Intelligence (Fudan University), Ministry of Education, Shanghai, China
- Department of Computer Science, University of Warwick, Coventry, UK
| | - Yu-Ming Xu
- Department of Neurology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou University, 1St Eastern Jianshe Road, Zhengzhou, 450000, China.
- NHC Key Laboratory of Prevention and Treatment of Cerebrovascular Diseases, Zhengzhou, China.
| | - Jin-Tai Yu
- Department of Neurology and National Center for Neurological Diseases, Huashan Hospital, State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Shanghai Medical College, Fudan University, 12Th Wulumuqi Zhong Road, Shanghai, 200040, China.
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Yun Z, Liu Z, Shen Y, Sun Z, Zhao H, Du X, Lv L, Zhang Y, Hou L. Genetic analysis from multiple cohorts implies causality between 2200 druggable genes, telomere length, and leukemia. Comput Biol Med 2024; 181:109064. [PMID: 39216403 DOI: 10.1016/j.compbiomed.2024.109064] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/22/2024] [Revised: 08/14/2024] [Accepted: 08/20/2024] [Indexed: 09/04/2024]
Abstract
BACKGROUND Clinical therapeutic targets for leukemia remain to be identified and the causality between leukemia and telomere length is unclear. METHODS This work employed cis expression quantitative trait locus (eQTL) for 2,200 druggable genes from the eQTLGen Consortium and genome-wide association studies (GWAS) summary data for telomere length in seven blood cell types from the UK Biobank, Netherlands Cohort as exposures. GWAS data for lymphoid leukemia (LL) and myeloid leukemia (ML) from FinnGen and Lee Lab were used as outcomes for discovery and replication cohorts, respectively. Robust Mendelian randomization (MR) findings were generated from seven MR models and a series of sensitivity analyses. Summary-data-based MR (SMR) analysis and transcriptome-wide association studies (TWAS) were further implemented to verify the association between identified druggable genes and leukemia. Single-cell type expression analysis was employed to identify the specific expression of leukemia casual genes on human bone marrow and peripheral blood immune cells. Multivariable MR analysis, linkage disequilibrium score regression (LDSC), and Bayesian colocalization analysis were performed to further validate the relationship between telomere length and leukemia. Mediation analysis was used to assess the effects of identified druggable genes affecting leukemia via telomere length. Phenome-wide MR (Phe-MR) analysis for assessing the effect of leukemia causal genes and telomere length on 1,403 disease phenotypes. RESULTS Combining the results of the meta-analysis for MR estimates from two cohorts, SMR and TWAS analysis, we identified five LL causal genes (TYMP, DSTYK, PPIF, GDF15, FAM20A) and three ML causal genes (LY75, ADA, ABCA2) as promising drug targets for leukemia. Univariable MR analysis showed genetically predicted higher leukocyte telomere length increased the risk of LL (odds ratio [OR] = 2.33, 95 % confidence interval [95 % CI] 1.70-3.18; P = 1.33E-07), and there was no heterogeneity and horizontal pleiotropy. Evidence from the meta-analysis of two cohorts strengthened this finding (OR = 1.88, 95 % CI 1.06-3.05; P = 0.01). Multivariable MR analysis showed the causality between leukocyte telomere length and LL without interference from the other six blood cell telomere length (OR = 2.72, 95 % CI 1.88-3.93; P = 1.23E-07). Evidence from LDSC supported the positive genetic correlation between leukocyte telomere length and LL (rg = 0.309, P = 0.0001). Colocalization analysis revealed that the causality from leukocyte telomere length on LL was driven by the genetic variant rs770526 in the TERT region. The mediation analysis via two-step MR showed that the causal effect from TYMP on LL was partly mediated by leukocyte telomere length, with a mediated proportion of 12 %. CONCLUSION Our study identified several druggable genes associated with leukemia risk and provided new insights into the etiology and drug development of leukemia. We also found that genetically predicted higher leukocyte telomere length increased LL risk and its potential mechanism of action.
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Affiliation(s)
- Zhangjun Yun
- Department of Oncology and Hematology, Dongzhimen Hospital, Beijing University of Chinese Medicine, Beijing, 100700, China; Graduate School of Beijing University of Chinese Medicine, Beijing, 100700, China
| | - Zhu Liu
- Department of Oncology and Hematology, Dongzhimen Hospital, Beijing University of Chinese Medicine, Beijing, 100700, China; Graduate School of Beijing University of Chinese Medicine, Beijing, 100700, China
| | - Yang Shen
- Department of Oncology and Hematology, Dongzhimen Hospital, Beijing University of Chinese Medicine, Beijing, 100700, China
| | - Ziyi Sun
- Graduate School of Beijing University of Chinese Medicine, Beijing, 100700, China
| | - Hongbin Zhao
- Department of Oncology and Hematology, Dongzhimen Hospital, Beijing University of Chinese Medicine, Beijing, 100700, China; Graduate School of Beijing University of Chinese Medicine, Beijing, 100700, China
| | - Xiaofeng Du
- Department of Oncology and Hematology, Dongzhimen Hospital, Beijing University of Chinese Medicine, Beijing, 100700, China; Graduate School of Beijing University of Chinese Medicine, Beijing, 100700, China
| | - Liyuan Lv
- Department of Oncology and Hematology, Dongzhimen Hospital, Beijing University of Chinese Medicine, Beijing, 100700, China.
| | - Yayue Zhang
- Department of Oncology and Hematology, Dongzhimen Hospital, Beijing University of Chinese Medicine, Beijing, 100700, China.
| | - Li Hou
- Department of Oncology and Hematology, Dongzhimen Hospital, Beijing University of Chinese Medicine, Beijing, 100700, China.
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7
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Qiu GH, Fu M, Zheng X, Huang C. Protection of the genome and the central exome by peripheral non-coding DNA against DNA damage in health, ageing and age-related diseases. Biol Rev Camb Philos Soc 2024. [PMID: 39327815 DOI: 10.1111/brv.13151] [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: 09/26/2023] [Revised: 09/15/2024] [Accepted: 09/18/2024] [Indexed: 09/28/2024]
Abstract
DNA in eukaryotic genomes is under constant assault from both exogenous and endogenous sources, leading to DNA damage, which is considered a major molecular driver of ageing. Fortunately, the genome and the central exome are safeguarded against these attacks by abundant peripheral non-coding DNA. Non-coding DNA codes for small non-coding RNAs that inactivate foreign nucleic acids in the cytoplasm and physically blocks these attacks in the nucleus. Damage to non-coding DNA produced during such blockage is removed in the form of extrachromosomal circular DNA (eccDNA) through nucleic pore complexes. Consequently, non-coding DNA serves as a line of defence for the exome against DNA damage. The total amount of non-coding DNA/heterochromatin declines with age, resulting in a decrease in both physical blockage and eccDNA exclusion, and thus an increase in the accumulation of DNA damage in the nucleus during ageing and in age-related diseases. Here, we summarize recent evidence supporting a protective role of non-coding DNA in healthy and pathological states and argue that DNA damage is the proximate cause of ageing and age-related genetic diseases. Strategies aimed at strengthening the protective role of non-coding DNA/heterochromatin could potentially offer better systematic protection for the dynamic genome and the exome against diverse assaults, reduce the burden of DNA damage to the exome, and thus slow ageing, counteract age-related genetic diseases and promote a healthier life for individuals.
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Affiliation(s)
- Guo-Hua Qiu
- College of Life Sciences, Longyan University, Longyan, 364012, People's Republic of China
- Fujian Provincial Key Laboratory of Preventive Veterinary Medicine and Biotechnology, Engineering Research Center for the Prevention and Control of Animal-Origin Zoonosis, Key Laboratory for the Prevention and Control of Animal Infectious Diseases and Biotechnology, Fujian Province Universities, Longyan, People's Republic of China
| | - Mingjun Fu
- College of Life Sciences, Longyan University, Longyan, 364012, People's Republic of China
- Fujian Provincial Key Laboratory of Preventive Veterinary Medicine and Biotechnology, Engineering Research Center for the Prevention and Control of Animal-Origin Zoonosis, Key Laboratory for the Prevention and Control of Animal Infectious Diseases and Biotechnology, Fujian Province Universities, Longyan, People's Republic of China
| | - Xintian Zheng
- College of Life Sciences, Longyan University, Longyan, 364012, People's Republic of China
- Fujian Provincial Key Laboratory of Preventive Veterinary Medicine and Biotechnology, Engineering Research Center for the Prevention and Control of Animal-Origin Zoonosis, Key Laboratory for the Prevention and Control of Animal Infectious Diseases and Biotechnology, Fujian Province Universities, Longyan, People's Republic of China
| | - Cuiqin Huang
- College of Life Sciences, Longyan University, Longyan, 364012, People's Republic of China
- Fujian Provincial Key Laboratory of Preventive Veterinary Medicine and Biotechnology, Engineering Research Center for the Prevention and Control of Animal-Origin Zoonosis, Key Laboratory for the Prevention and Control of Animal Infectious Diseases and Biotechnology, Fujian Province Universities, Longyan, People's Republic of China
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8
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Li Z, Wang M, Zeng S, Wang Z, Ying Y, Chen Q, Zhang C, He W, Sheng C, Wang Y, Zhang Z, Xu C, Wang H. Investigating the Shared Genetic Architecture Between Leukocyte Telomere Length and Prostate Cancer. World J Mens Health 2024; 42:42.e84. [PMID: 39344121 DOI: 10.5534/wjmh.240062] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/21/2024] [Revised: 05/31/2024] [Accepted: 06/18/2024] [Indexed: 10/01/2024] Open
Abstract
PURPOSE Evidence of an association between leukocyte telomere length (LTL) and prostate cancer (PCa) is accumulating; however, their shared genetic basis remains unclear. MATERIALS AND METHODS Using summary statistics obtained from the genome-wide association study (GWAS), we quantified the global and local genetic correlations between two traits. Subsequently, we identified potential pleiotropic loci, common tissue-enriched regions, and risk gene loci while inferring assumed causal relationships. RESULTS Our study demonstrated a global genetic correlation between LTL and PCa (genetic correlation=0.066, p=0.017), which was further confirmed in local genomic regions. Cross-trait GWAS meta-analysis revealed 44 shared loci, including 10 novel pleiotropic single nucleotide polymorphisms appearing concurrently in significant local genetic correlation regions. Notably, two new loci (rs9419958; rs3730668) were additionally validated to co-localize. For the first time, we identified a significant shared genetic enrichment of both traits in the small intestine tissue at the terminal ileum, with functional genes in this region affecting both LTL and PCa. Concurrently, Mendelian randomization analysis indicated a positive causal relationship between LTL and PCa. CONCLUSIONS In conclusion, our study makes a significant contribution to the ongoing debate concerning the potential association between longer LTL and a higher risk of PCa. Additionally, we provide new evidence for the development of therapeutic targets for PCa and propose new directions for future risk prediction in this regard.
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Affiliation(s)
- Zhizhou Li
- Department of Urology, Shanghai Changhai Hospital, Naval Medical University, Shanghai, China
| | - Maoyu Wang
- Department of Urology, Shanghai Changhai Hospital, Naval Medical University, Shanghai, China
| | - Shuxiong Zeng
- Department of Urology, Shanghai Changhai Hospital, Naval Medical University, Shanghai, China
| | - Ziwei Wang
- Department of Urology, Shanghai Changhai Hospital, Naval Medical University, Shanghai, China
| | - Yidie Ying
- Department of Urology, Shanghai Changhai Hospital, Naval Medical University, Shanghai, China
| | - Qing Chen
- Department of Urology, Shanghai Changhai Hospital, Naval Medical University, Shanghai, China
| | - Chen Zhang
- Department of Urology, Shanghai Changhai Hospital, Naval Medical University, Shanghai, China
| | - Wei He
- Department of Urology, Shanghai Changhai Hospital, Naval Medical University, Shanghai, China
| | - Chaoyang Sheng
- Department of Urology, Shanghai Changhai Hospital, Naval Medical University, Shanghai, China
| | - Yi Wang
- Department of Urology, Shanghai Changhai Hospital, Naval Medical University, Shanghai, China
| | - Zhensheng Zhang
- Department of Urology, Shanghai Changhai Hospital, Naval Medical University, Shanghai, China
| | - Chuanliang Xu
- Department of Urology, Shanghai Changhai Hospital, Naval Medical University, Shanghai, China.
| | - Huiqing Wang
- Department of Urology, Shanghai Changhai Hospital, Naval Medical University, Shanghai, China.
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9
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Kochman R, Ba I, Yates M, Pirabakaran V, Gourmelon F, Churikov D, Laffaille M, Kermasson L, Hamelin C, Marois I, Jourquin F, Braud L, Bechara M, Lainey E, Nunes H, Breton P, Penhouet M, David P, Géli V, Lachaud C, Maréchal A, Revy P, Kannengiesser C, Saintomé C, Coulon S. Heterozygous RPA2 variant as a novel genetic cause of telomere biology disorders. Genes Dev 2024; 38:755-771. [PMID: 39231615 PMCID: PMC11444173 DOI: 10.1101/gad.352032.124] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/18/2024] [Accepted: 08/18/2024] [Indexed: 09/06/2024]
Abstract
Premature telomere shortening or telomere instability is associated with a group of rare and heterogeneous diseases collectively known as telomere biology disorders (TBDs). Here we identified two unrelated individuals with clinical manifestations of TBDs and short telomeres associated with the identical monoallelic variant c.767A>G; Y256C in RPA2 Although the replication protein A2 (RPA2) mutant did not affect ssDNA binding and G-quadruplex-unfolding properties of RPA, the mutation reduced the affinity of RPA2 with the ubiquitin ligase RFWD3 and reduced RPA ubiquitination. Using engineered knock-in cell lines, we found an accumulation of RPA at telomeres that did not trigger ATR activation but caused short and dysfunctional telomeres. Finally, both patients acquired, in a subset of blood cells, somatic genetic rescue events in either POT1 genes or TERT promoters known to counteract the accelerated telomere shortening. Collectively, our study indicates that variants in RPA2 represent a novel genetic cause of TBDs. Our results further support the fundamental role of the RPA complex in regulating telomere length and stability in humans.
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Affiliation(s)
- Rima Kochman
- UMR7258 Centre National de la Recherche Scientifique (CNRS), UMR1068 Institut National de la Santé et de la Recherche Médicale (INSERM), UM105 Aix Marseille University, Institut Paoli-Calmettes, Centre de Recherche en Cancérologie de Marseille (CRCM), Laboratoire Labellisée par la Ligue Nationale Contre le Cancer, F-13009 Marseille, France
| | - Ibrahima Ba
- U1152 INSERM, Department of Genetics, Assistance Publique-Hôpitaux de Paris, Bichat Hospital, Paris Cité University, F-75018 Paris, France
| | - Maïlyn Yates
- Department of Biology, Université de Sherbrooke, Sherbrooke, Québec J1K 2R1, Canada
| | - Vithura Pirabakaran
- UMR1163 INSERM, Genome Dynamics in the Immune System Laboratory, Laboratoire labellisé Ligue 2023, Imagine Institute, Paris Cité University, F-75015 Paris, France
| | - Florian Gourmelon
- UMR7196 CNRS, U1154 INSERM, Structure et Instabilité des Génomes, Muséum National d'Histoire Naturelle, F-75005 Paris, France
| | - Dmitri Churikov
- UMR7258 Centre National de la Recherche Scientifique (CNRS), UMR1068 Institut National de la Santé et de la Recherche Médicale (INSERM), UM105 Aix Marseille University, Institut Paoli-Calmettes, Centre de Recherche en Cancérologie de Marseille (CRCM), Laboratoire Labellisée par la Ligue Nationale Contre le Cancer, F-13009 Marseille, France
| | - Marc Laffaille
- UMR7258 Centre National de la Recherche Scientifique (CNRS), UMR1068 Institut National de la Santé et de la Recherche Médicale (INSERM), UM105 Aix Marseille University, Institut Paoli-Calmettes, Centre de Recherche en Cancérologie de Marseille (CRCM), Laboratoire Labellisée par la Ligue Nationale Contre le Cancer, F-13009 Marseille, France
| | - Laëtitia Kermasson
- UMR1163 INSERM, Genome Dynamics in the Immune System Laboratory, Laboratoire labellisé Ligue 2023, Imagine Institute, Paris Cité University, F-75015 Paris, France
| | - Coline Hamelin
- UMR7258 Centre National de la Recherche Scientifique (CNRS), UMR1068 Institut National de la Santé et de la Recherche Médicale (INSERM), UM105 Aix Marseille University, Institut Paoli-Calmettes, Centre de Recherche en Cancérologie de Marseille (CRCM), Laboratoire Labellisée par la Ligue Nationale Contre le Cancer, F-13009 Marseille, France
| | - Isabelle Marois
- Department of Biology, Université de Sherbrooke, Sherbrooke, Québec J1K 2R1, Canada
| | - Frédéric Jourquin
- UMR7258 Centre National de la Recherche Scientifique (CNRS), UMR1068 Institut National de la Santé et de la Recherche Médicale (INSERM), UM105 Aix Marseille University, Institut Paoli-Calmettes, Centre de Recherche en Cancérologie de Marseille (CRCM), Laboratoire Labellisée par la Ligue Nationale Contre le Cancer, F-13009 Marseille, France
| | - Laura Braud
- UMR7258 Centre National de la Recherche Scientifique (CNRS), UMR1068 Institut National de la Santé et de la Recherche Médicale (INSERM), UM105 Aix Marseille University, Institut Paoli-Calmettes, Centre de Recherche en Cancérologie de Marseille (CRCM), Laboratoire Labellisée par la Ligue Nationale Contre le Cancer, F-13009 Marseille, France
| | - Marianne Bechara
- UMR7196 CNRS, U1154 INSERM, Structure et Instabilité des Génomes, Muséum National d'Histoire Naturelle, F-75005 Paris, France
| | - Elodie Lainey
- Assistance Publique Hôpitaux de Paris, Service d'Hématologie, Hôpital Robert Debré, Groupe Hospitalier Universitaire (GHU) AP-HP Nord, Université Paris Cité, F-75019 Paris, France
| | - Hilario Nunes
- Assistance Publique Hôpitaux de Paris, Service de Pneumologie, Hôpital Avicenne, F-93000 Bobigny, France
| | - Philippe Breton
- Centre Hospitalier Universitaire (CHU) Les Sables d'Olonne, Pôle santé Service Pneumologie, 85340 Olonne, France
| | - Morgane Penhouet
- CHU Nantes, Hôpital Nord Laënnec Service de Pneumologie, Unité de Transplantation Thoracique, F-44093 Nantes, France
| | - Pierre David
- UMR1163 INSERM, Imagine Institute, Université de Paris, Transgenesis Facility, F-75015 Paris, France
| | - Vincent Géli
- UMR7258 Centre National de la Recherche Scientifique (CNRS), UMR1068 Institut National de la Santé et de la Recherche Médicale (INSERM), UM105 Aix Marseille University, Institut Paoli-Calmettes, Centre de Recherche en Cancérologie de Marseille (CRCM), Laboratoire Labellisée par la Ligue Nationale Contre le Cancer, F-13009 Marseille, France
| | - Christophe Lachaud
- UMR7258 Centre National de la Recherche Scientifique (CNRS), UMR1068 Institut National de la Santé et de la Recherche Médicale (INSERM), UM105 Aix Marseille University, Institut Paoli-Calmettes, Centre de Recherche en Cancérologie de Marseille (CRCM), Laboratoire Labellisée par la Ligue Nationale Contre le Cancer, F-13009 Marseille, France
| | - Alexandre Maréchal
- Department of Biology, Université de Sherbrooke, Sherbrooke, Québec J1K 2R1, Canada
| | - Patrick Revy
- UMR1163 INSERM, Genome Dynamics in the Immune System Laboratory, Laboratoire labellisé Ligue 2023, Imagine Institute, Paris Cité University, F-75015 Paris, France
| | - Caroline Kannengiesser
- U1152 INSERM, Department of Genetics, Assistance Publique-Hôpitaux de Paris, Bichat Hospital, Paris Cité University, F-75018 Paris, France
| | - Carole Saintomé
- UMR7196 CNRS, U1154 INSERM, Structure et Instabilité des Génomes, Muséum National d'Histoire Naturelle, F-75005 Paris, France
- UFR927, Sorbonne Université, F-75005 Paris, France
| | - Stéphane Coulon
- UMR7258 Centre National de la Recherche Scientifique (CNRS), UMR1068 Institut National de la Santé et de la Recherche Médicale (INSERM), UM105 Aix Marseille University, Institut Paoli-Calmettes, Centre de Recherche en Cancérologie de Marseille (CRCM), Laboratoire Labellisée par la Ligue Nationale Contre le Cancer, F-13009 Marseille, France;
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10
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Zhao J, Yang K, Lu Y, Zhou L, Fu H, Feng J, Wu J. Proteomic Mendelian randomization to identify protein biomarkers of telomere length. Sci Rep 2024; 14:21594. [PMID: 39284832 PMCID: PMC11405721 DOI: 10.1038/s41598-024-72281-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/14/2024] [Accepted: 09/05/2024] [Indexed: 09/20/2024] Open
Abstract
Shortening of telomere length (TL) is correlated with many age-related disorders and is a hallmark of biological aging. This study used proteome-wide Mendelian randomization to identify the protein biomarkers associated with telomere length. Protein quantitative trait loci (pQTL) were derived from two studies, the deCODE Health study (4907 plasma proteins) and the UK Biobank Pharma Proteomics Project (2923 plasma proteins). Summary data from genome-wide association studies (GWAS) for TL were obtained from the UK Biobank (472,174 cases) and GWAS Catalog (418,401 cases). The association between proteins and TL was further assessed using colocalization and summary data-based Mendelian randomization (SMR) analyses. The protein-protein network, druggability assessment, and phenome-wide MR were used to further evaluate the potential biological effects, druggability, and safety of the target proteins. Proteome-wide MR analysis identified 22 plasma proteins that were causally associated with telomere length. Five of these proteins (APOE, SPRED2, MAX, RALY, and PSMB1) had the highest evidence of association with TL and should be prioritized. This study revealed telomere length-related protein biomarkers, providing new insights into the development of new treatment targets for chronic diseases and anti-aging intervention strategies.
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Affiliation(s)
- Jiaxuan Zhao
- Department of Clinical Laboratory, North China University of Science and Technology Affiliated Tangshan Maternal and Child Health Care Hospital, Tangshan, China
- Key Laboratory of Molecular Medicine for Abnormal Development and Related Diseases in Tangshan City, Tangshan, China
| | - Kun Yang
- Department of Clinical Laboratory, North China University of Science and Technology Affiliated Tangshan Maternal and Child Health Care Hospital, Tangshan, China
- Key Laboratory of Molecular Medicine for Abnormal Development and Related Diseases in Tangshan City, Tangshan, China
| | - Yunfei Lu
- Department of Clinical Laboratory, North China University of Science and Technology Affiliated Tangshan Maternal and Child Health Care Hospital, Tangshan, China
- Key Laboratory of Molecular Medicine for Abnormal Development and Related Diseases in Tangshan City, Tangshan, China
| | - Linfeng Zhou
- Department of Clinical Laboratory, North China University of Science and Technology Affiliated Tangshan Maternal and Child Health Care Hospital, Tangshan, China
- Key Laboratory of Molecular Medicine for Abnormal Development and Related Diseases in Tangshan City, Tangshan, China
| | - Haoran Fu
- Department of Clinical Laboratory, North China University of Science and Technology Affiliated Tangshan Maternal and Child Health Care Hospital, Tangshan, China
- Key Laboratory of Molecular Medicine for Abnormal Development and Related Diseases in Tangshan City, Tangshan, China
| | - Jingbo Feng
- The 982th Hospital of the People's Liberation Army Joint Logistics Support Force, Tangshan, China
| | - Jinghua Wu
- Department of Clinical Laboratory, North China University of Science and Technology Affiliated Tangshan Maternal and Child Health Care Hospital, Tangshan, China.
- Key Laboratory of Molecular Medicine for Abnormal Development and Related Diseases in Tangshan City, Tangshan, China.
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11
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Imahori Y, Qin C, Tang B, Hägg S. Comprehensive analysis of molecular, physiological, and functional biomarkers of aging with neurological diseases using Mendelian randomization. GeroScience 2024:10.1007/s11357-024-01334-6. [PMID: 39269583 DOI: 10.1007/s11357-024-01334-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/12/2024] [Accepted: 08/28/2024] [Indexed: 09/15/2024] Open
Abstract
An increasing burden of neurological diseases (NDs) has been a public health challenge in an aging society. Age, especially biological age, is the most important risk factor for NDs. Identification of biomarkers of aging to capture NDs might lead to a better understanding of the underlying mechanisms of pathological brain aging and the implementation of effective intervention. We conducted a comprehensive two-sample Mendelian Randomization (MR) study to investigate the association between various biomarkers of aging and three leading causes of NDs: Alzheimer's disease (AD), vascular dementia (VaD), and ischemic stroke. Publicly available GWAS summary statistics on people from European ancestry were obtained for six molecular biomarkers, two physiological biomarkers, and eight functional biomarkers, and three NDs. Genetic variants serving as instrumental variables (IVs) were identified for each biomarker. The MR analysis included inverse variance weighted (IVW), weighted median, MR-Egger, and MR-PRESSO. We found that short telomere length and decrease in appendicular lean mass were associated with an increased risk for AD (OR IVW = 1.12 per 1SD decrease, 95% confidence interval 1.02-1.22, and OR IVW = 1.11, 1.06-1.16, respectively), whereas high frailty index showed a protective effect for AD. Accelerated BioAge appeared to be associated with increased risk for ischemic stroke (OR IVW = 1.3 per year in BioAge acceleration, 95% CI 1.19-1.41). Our findings implied a causal association of short telomere length and a decrease in appendicular lean mass with an increased risk for AD, while BioAge appeared to be a good biomarker for ischemic stroke. Further studies are needed to validate these associations and explore underlying mechanisms.
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Affiliation(s)
- Yume Imahori
- The Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Chenxi Qin
- The Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Bowen Tang
- The Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Sara Hägg
- The Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden.
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12
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Burren OS, Dhindsa RS, Deevi SVV, Wen S, Nag A, Mitchell J, Hu F, Loesch DP, Smith KR, Razdan N, Olsson H, Platt A, Vitsios D, Wu Q, Codd V, Nelson CP, Samani NJ, March RE, Wasilewski S, Carss K, Fabre M, Wang Q, Pangalos MN, Petrovski S. Genetic architecture of telomere length in 462,666 UK Biobank whole-genome sequences. Nat Genet 2024; 56:1832-1840. [PMID: 39192095 PMCID: PMC11387196 DOI: 10.1038/s41588-024-01884-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/10/2023] [Accepted: 07/25/2024] [Indexed: 08/29/2024]
Abstract
Telomeres protect chromosome ends from damage and their length is linked with human disease and aging. We developed a joint telomere length metric, combining quantitative PCR and whole-genome sequencing measurements from 462,666 UK Biobank participants. This metric increased SNP heritability, suggesting that it better captures genetic regulation of telomere length. Exome-wide rare-variant and gene-level collapsing association studies identified 64 variants and 30 genes significantly associated with telomere length, including allelic series in ACD and RTEL1. Notably, 16% of these genes are known drivers of clonal hematopoiesis-an age-related somatic mosaicism associated with myeloid cancers and several nonmalignant diseases. Somatic variant analyses revealed gene-specific associations with telomere length, including lengthened telomeres in individuals with large SRSF2-mutant clones, compared with shortened telomeres in individuals with clonal expansions driven by other genes. Collectively, our findings demonstrate the impact of rare variants on telomere length, with larger effects observed among genes also associated with clonal hematopoiesis.
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Affiliation(s)
- Oliver S Burren
- Centre for Genomics Research, Discovery Sciences, BioPharmaceuticals R&D, AstraZeneca, Cambridge, UK
| | - Ryan S Dhindsa
- Center for Genomics Research, Discovery Sciences, BioPharmaceuticals R&D, AstraZeneca, Waltham, MA, USA
| | - Sri V V Deevi
- Centre for Genomics Research, Discovery Sciences, BioPharmaceuticals R&D, AstraZeneca, Cambridge, UK
| | - Sean Wen
- Centre for Genomics Research, Discovery Sciences, BioPharmaceuticals R&D, AstraZeneca, Cambridge, UK
| | - Abhishek Nag
- Centre for Genomics Research, Discovery Sciences, BioPharmaceuticals R&D, AstraZeneca, Cambridge, UK
| | - Jonathan Mitchell
- Centre for Genomics Research, Discovery Sciences, BioPharmaceuticals R&D, AstraZeneca, Cambridge, UK
| | - Fengyuan Hu
- Centre for Genomics Research, Discovery Sciences, BioPharmaceuticals R&D, AstraZeneca, Cambridge, UK
| | - Douglas P Loesch
- Centre for Genomics Research, Discovery Sciences, BioPharmaceuticals R&D, AstraZeneca, Cambridge, UK
| | - Katherine R Smith
- Centre for Genomics Research, Discovery Sciences, BioPharmaceuticals R&D, AstraZeneca, Cambridge, UK
| | - Neetu Razdan
- Biosciences COPD & IPF, Research and Early Development, Respiratory & Immunology, BioPharmaceuticals R&D, AstraZeneca, Gaithersburg, MD, USA
| | - Henric Olsson
- Translational Science and Experimental Medicine, Research and Early Development, Respiratory & Immunology, BioPharmaceuticals R&D, AstraZeneca, Gothenburg, Sweden
| | - Adam Platt
- Translational Science and Experimental Medicine, Research and Early Development, Respiratory & Immunology, BioPharmaceuticals R&D, AstraZeneca, Cambridge, UK
| | - Dimitrios Vitsios
- Centre for Genomics Research, Discovery Sciences, BioPharmaceuticals R&D, AstraZeneca, Cambridge, UK
| | - Qiang Wu
- Center for Genomics Research, Discovery Sciences, BioPharmaceuticals R&D, AstraZeneca, Waltham, MA, USA
- Department of Mathematical Sciences, Middle Tennessee State University, Murfreesboro, TN, USA
| | - Veryan Codd
- Department of Cardiovascular Sciences, University of Leicester and Leicester NIHR Biomedical Research Centre, Leicester, UK
| | - Christopher P Nelson
- Department of Cardiovascular Sciences, University of Leicester and Leicester NIHR Biomedical Research Centre, Leicester, UK
| | - Nilesh J Samani
- Department of Cardiovascular Sciences, University of Leicester and Leicester NIHR Biomedical Research Centre, Leicester, UK
| | - Ruth E March
- Precision Medicine & Biosamples, Oncology R&D, AstraZeneca, Dublin, Ireland
| | - Sebastian Wasilewski
- Centre for Genomics Research, Discovery Sciences, BioPharmaceuticals R&D, AstraZeneca, Cambridge, UK
| | - Keren Carss
- Centre for Genomics Research, Discovery Sciences, BioPharmaceuticals R&D, AstraZeneca, Cambridge, UK
| | - Margarete Fabre
- Centre for Genomics Research, Discovery Sciences, BioPharmaceuticals R&D, AstraZeneca, Cambridge, UK
- Department of Haematology, Cambridge University Hospitals NHS Foundation Trust, Cambridge, UK
- Department of Haematology, University of Cambridge, Cambridge, UK
| | - Quanli Wang
- Center for Genomics Research, Discovery Sciences, BioPharmaceuticals R&D, AstraZeneca, Waltham, MA, USA
| | | | - 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.
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13
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Wen J, Tian YE, Skampardoni I, Yang Z, Cui Y, Anagnostakis F, Mamourian E, Zhao B, Toga AW, Zalesky A, Davatzikos C. The genetic architecture of biological age in nine human organ systems. NATURE AGING 2024; 4:1290-1307. [PMID: 38942983 PMCID: PMC11446180 DOI: 10.1038/s43587-024-00662-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/01/2023] [Accepted: 05/30/2024] [Indexed: 06/30/2024]
Abstract
Investigating the genetic underpinnings of human aging is essential for unraveling the etiology of and developing actionable therapies for chronic diseases. Here, we characterize the genetic architecture of the biological age gap (BAG; the difference between machine learning-predicted age and chronological age) across nine human organ systems in 377,028 participants of European ancestry from the UK Biobank. The BAGs were computed using cross-validated support vector machines, incorporating imaging, physical traits and physiological measures. We identify 393 genomic loci-BAG pairs (P < 5 × 10-8) linked to the brain, eye, cardiovascular, hepatic, immune, metabolic, musculoskeletal, pulmonary and renal systems. Genetic variants associated with the nine BAGs are predominantly specific to the respective organ system (organ specificity) while exerting pleiotropic links with other organ systems (interorgan cross-talk). We find that genetic correlation between the nine BAGs mirrors their phenotypic correlation. Further, a multiorgan causal network established from two-sample Mendelian randomization and latent causal variance models revealed potential causality between chronic diseases (for example, Alzheimer's disease and diabetes), modifiable lifestyle factors (for example, sleep duration and body weight) and multiple BAGs. Our results illustrate the potential for improving human organ health via a multiorgan network, including lifestyle interventions and drug repurposing strategies.
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Affiliation(s)
- Junhao Wen
- Laboratory of AI and Biomedical Science (LABS), University of Southern California, Los Angeles, CA, USA.
| | - Ye Ella Tian
- Melbourne Neuropsychiatry Centre, Department of Psychiatry, Melbourne Medical School, The University of Melbourne, Melbourne, Victoria, Australia
| | - Ioanna Skampardoni
- Artificial Intelligence in Biomedical Imaging Laboratory (AIBIL), Center for AI and Data Science for Integrated Diagnostics (AI2D), Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Zhijian Yang
- Artificial Intelligence in Biomedical Imaging Laboratory (AIBIL), Center for AI and Data Science for Integrated Diagnostics (AI2D), Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Yuhan Cui
- Artificial Intelligence in Biomedical Imaging Laboratory (AIBIL), Center for AI and Data Science for Integrated Diagnostics (AI2D), Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | | | - Elizabeth Mamourian
- Artificial Intelligence in Biomedical Imaging Laboratory (AIBIL), Center for AI and Data Science for Integrated Diagnostics (AI2D), Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Bingxin Zhao
- Department of Statistics and Data Science, University of Pennsylvania, Philadelphia, PA, USA
| | - Arthur W Toga
- Laboratory of Neuro Imaging (LONI), Stevens Neuroimaging and Informatics Institute, Keck School of Medicine of USC, University of Southern California, Los Angeles, CA, USA
| | - Andrew Zalesky
- Melbourne Neuropsychiatry Centre, Department of Psychiatry, Melbourne Medical School, The University of Melbourne, Melbourne, Victoria, Australia
| | - Christos Davatzikos
- Artificial Intelligence in Biomedical Imaging Laboratory (AIBIL), Center for AI and Data Science for Integrated Diagnostics (AI2D), Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
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14
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Tang L, Li D, Wang J, Su B, Tian Y. Ambient air pollution, genetic risk and telomere length in UK biobank. JOURNAL OF EXPOSURE SCIENCE & ENVIRONMENTAL EPIDEMIOLOGY 2024; 34:845-852. [PMID: 37550565 DOI: 10.1038/s41370-023-00587-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/12/2022] [Revised: 07/20/2023] [Accepted: 07/20/2023] [Indexed: 08/09/2023]
Abstract
BACKGROUND Telomere length (TL) is a biomarker of genomic aging. The evidence on the association between TL and air pollution was inconsistent. Besides, the modification effect of genetic susceptibility on the air pollution-TL association remains unknown. OBJECTIVE We aimed to evaluate the association of ambient air pollution with TL and further assess the modification effect of genetic susceptibility. METHODS 433,535 participants with complete data of TL and air pollutants in UK Biobank were included. Annual average exposure of NO2, NOx, PM10 and PM2.5 was estimated by applying land use regression models. Genetic risk score (GRS) was constructed using reported telomere-related SNPs. Leukocyte TL was measured by quantitative polymerase chain reaction (qPCR). Multivariable linear regression models were employed to conduct associational analyses. RESULTS Categorical exposure models and RCS models both indicated U-shaped (for NO2 and NOx) and L-shaped (for PM10 and PM2.5) correlations between air pollution and TL. In comparison to the lowest quartile, the 2nd and 3rd quartile of NO2 (q2: -1.3% [-2.1%, -0.4%]; q3: -1.2% [-2.0%, -0.3%], NOx (q2: -1.3% [-2.1%, -0.5%]; q3: -1.4% [-2.2%, -0.5%]), PM2.5 (q2: -0.8% [-1.7%, 0.0%]; q3: -1.3% [-2.2%, -0.5%]), and the third quartile of PM10 (q3: -1.1% [-1.9%, -0.2%]) were inversely associated with TL. The highest quartile of NO2 was positively correlated with TL (q4: 1.0% [0.0%, 2.0%]), whereas the negative correlation between the highest quartile of other pollutants and TL was also attenuated and no longer significant. In the genetic analyses, synergistic interactions were observed between the 4th quartile of three air pollutants (NO2, NOx, and PM2.5) and genetic risk. IMPACT STATEMENT Our study for the first time revealed a non-linear trend for the association between air pollution and telomere length. The genetic analyses suggested synergistic interactions between air pollution and genetic risk on the air pollution-TL association. These findings may shed new light on air pollution's health effects, offer suggestions for identifying at-risk individuals, and provide hints regarding further investigation into gene-environment interactions.
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Affiliation(s)
- Linxi Tang
- Ministry of Education Key Laboratory of Environment and Health, and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, No.13 Hangkong Road, 430030, Wuhan, China
- Department of Maternal and Child Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, No.13 Hangkong Road, 430030, Wuhan, China
| | - Dankang Li
- Ministry of Education Key Laboratory of Environment and Health, and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, No.13 Hangkong Road, 430030, Wuhan, China
- Department of Maternal and Child Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, No.13 Hangkong Road, 430030, Wuhan, China
| | - Jianing Wang
- Ministry of Education Key Laboratory of Environment and Health, and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, No.13 Hangkong Road, 430030, Wuhan, China
- Department of Maternal and Child Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, No.13 Hangkong Road, 430030, Wuhan, China
| | - Binbin Su
- School of Population Medicine and Public Health, Chinese Academy of Medical Sciences/Peking Union Medical College, No.31, Beijige-3, Dongcheng District, 100730, Beijing, China.
| | - Yaohua Tian
- Ministry of Education Key Laboratory of Environment and Health, and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, No.13 Hangkong Road, 430030, Wuhan, China.
- Department of Maternal and Child Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, No.13 Hangkong Road, 430030, Wuhan, China.
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15
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Stankovic S, Shekari S, Huang QQ, Gardner EJ, Ivarsdottir EV, Owens NDL, Mavaddat N, Azad A, Hawkes G, Kentistou KA, Beaumont RN, Day FR, Zhao Y, Jonsson H, Rafnar T, Tragante V, Sveinbjornsson G, Oddsson A, Styrkarsdottir U, Gudmundsson J, Stacey SN, Gudbjartsson DF, Kennedy K, Wood AR, Weedon MN, Ong KK, Wright CF, Hoffmann ER, Sulem P, Hurles ME, Ruth KS, Martin HC, Stefansson K, Perry JRB, Murray A. Genetic links between ovarian ageing, cancer risk and de novo mutation rates. Nature 2024; 633:608-614. [PMID: 39261734 PMCID: PMC11410666 DOI: 10.1038/s41586-024-07931-x] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/20/2022] [Accepted: 08/08/2024] [Indexed: 09/13/2024]
Abstract
Human genetic studies of common variants have provided substantial insight into the biological mechanisms that govern ovarian ageing1. Here we report analyses of rare protein-coding variants in 106,973 women from the UK Biobank study, implicating genes with effects around five times larger than previously found for common variants (ETAA1, ZNF518A, PNPLA8, PALB2 and SAMHD1). The SAMHD1 association reinforces the link between ovarian ageing and cancer susceptibility1, with damaging germline variants being associated with extended reproductive lifespan and increased all-cause cancer risk in both men and women. Protein-truncating variants in ZNF518A are associated with shorter reproductive lifespan-that is, earlier age at menopause (by 5.61 years) and later age at menarche (by 0.56 years). Finally, using 8,089 sequenced trios from the 100,000 Genomes Project (100kGP), we observe that common genetic variants associated with earlier ovarian ageing associate with an increased rate of maternally derived de novo mutations. Although we were unable to replicate the finding in independent samples from the deCODE study, it is consistent with the expected role of DNA damage response genes in maintaining the genetic integrity of germ cells. This study provides evidence of genetic links between age of menopause and cancer risk.
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Affiliation(s)
- Stasa Stankovic
- MRC Epidemiology Unit, Wellcome-MRC Institute of Metabolic Science, University of Cambridge, Cambridge, UK
| | - Saleh Shekari
- University of Exeter Medical School, University of Exeter, Exeter, UK
- School of Public Health, Faculty of Medicine, University of Queensland, Brisbane, Queensland, Australia
| | - Qin Qin Huang
- Wellcome Sanger Institute, Wellcome Genome Campus, Cambridge, UK
| | - Eugene J Gardner
- MRC Epidemiology Unit, Wellcome-MRC Institute of Metabolic Science, University of Cambridge, Cambridge, UK
| | | | - Nick D L Owens
- University of Exeter Medical School, University of Exeter, Exeter, UK
| | - Nasim Mavaddat
- Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
| | - Ajuna Azad
- DNRF Center for Chromosome Stability, Department of Cellular and Molecular Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Gareth Hawkes
- University of Exeter Medical School, University of Exeter, Exeter, UK
| | - Katherine A Kentistou
- MRC Epidemiology Unit, Wellcome-MRC Institute of Metabolic Science, University of Cambridge, Cambridge, UK
| | - Robin N Beaumont
- University of Exeter Medical School, University of Exeter, Exeter, UK
| | - Felix R Day
- MRC Epidemiology Unit, Wellcome-MRC Institute of Metabolic Science, University of Cambridge, Cambridge, UK
| | - Yajie Zhao
- MRC Epidemiology Unit, Wellcome-MRC Institute of Metabolic Science, University of Cambridge, Cambridge, UK
| | | | | | | | | | | | | | | | | | | | - Kitale Kennedy
- University of Exeter Medical School, University of Exeter, Exeter, UK
| | - Andrew R Wood
- University of Exeter Medical School, University of Exeter, Exeter, UK
| | - Michael N Weedon
- University of Exeter Medical School, University of Exeter, Exeter, UK
| | - Ken K Ong
- MRC Epidemiology Unit, Wellcome-MRC Institute of Metabolic Science, University of Cambridge, Cambridge, UK
- Department of Paediatrics, University of Cambridge, Cambridge, UK
| | - Caroline F Wright
- University of Exeter Medical School, University of Exeter, Exeter, UK
| | - Eva R Hoffmann
- DNRF Center for Chromosome Stability, Department of Cellular and Molecular Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | | | - Matthew E Hurles
- Wellcome Sanger Institute, Wellcome Genome Campus, Cambridge, UK
| | - Katherine S Ruth
- University of Exeter Medical School, University of Exeter, Exeter, UK
| | - Hilary C Martin
- Wellcome Sanger Institute, Wellcome Genome Campus, Cambridge, UK
| | | | - John R B Perry
- MRC Epidemiology Unit, Wellcome-MRC Institute of Metabolic Science, University of Cambridge, Cambridge, UK.
- Metabolic Research Laboratory, Wellcome-MRC Institute of Metabolic Science, University of Cambridge, Cambridge, UK.
| | - Anna Murray
- University of Exeter Medical School, University of Exeter, Exeter, UK.
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16
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Martens DS, Lammertyn EJ, Goeminne PC, Colpaert K, Proesmans M, Vanaudenaerde BM, Nawrot TS, Dupont LJ. Leukocyte telomere length and attrition in association with disease severity in cystic fibrosis patients. Aging (Albany NY) 2024; 16:11809-11823. [PMID: 39213174 PMCID: PMC11386922 DOI: 10.18632/aging.206093] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/19/2023] [Accepted: 07/15/2024] [Indexed: 09/04/2024]
Abstract
Cystic fibrosis (CF) is characterized by chronic airway inflammation and premature aging. The link with leukocyte telomere length (LTL) as a marker of biological aging is unclear. We studied disease severity and LTL in 168 CF patients of which 85 patients had a second retrospective LTL assessment. A higher FEV1 was associated with longer LTL, with a stronger effect in men (5.08% longer LTL) compared to women (0.41% longer LTL). A higher FEV1/FVC ratio was associated with 7.05% (P=0.017) longer LTL in men. CF asthma, as defined by the treatment with inhaled corticosteroids, was associated with -6.65% shorter LTL (P=0.028). Men homozygous for the ΔF508 genotype showed a -10.48% (P=0.026) shorter LTL compared to heterozygotes. A genotype-specific non-linear association between LTL shortening and chronological age was observed. Stronger age-related LTL shortening was observed in patients homozygous for the ΔF508 genotype (P-interaction= 0.044). This work showed that disease severity in CF patients negatively influences LTL, with slightly more pronounced effects in men. The homozygous genotype for ΔF508 may play a role in LTL attrition in CF patients. Understanding factors in CF patients that accelerate biological aging provides insights into mechanisms that can extend the overall life quality in CF-diseased.
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Affiliation(s)
- Dries S Martens
- Centre for Environmental Sciences, Hasselt University, Hasselt, Belgium
| | - Elise J Lammertyn
- Department of Chronic Diseases and Metabolism (CHROMETA), Laboratory of Respiratory Diseases and Thoracic Surgery (BREATHE), KU Leuven, Leuven, Belgium
| | | | - Kristine Colpaert
- Department of Respiratory Diseases, University Hospitals Leuven, Leuven, Belgium
| | - Marijke Proesmans
- Department of Pediatrics, Pediatric Pulmonology, University Hospital of Leuven, Leuven, Flanders, Belgium
| | - Bart M Vanaudenaerde
- Department of Chronic Diseases and Metabolism (CHROMETA), Laboratory of Respiratory Diseases and Thoracic Surgery (BREATHE), KU Leuven, Leuven, Belgium
| | - Tim S Nawrot
- Centre for Environmental Sciences, Hasselt University, Hasselt, Belgium
- Department of Public Health and Primary Care, KU Leuven, Leuven, Belgium
| | - Lieven J Dupont
- Department of Chronic Diseases and Metabolism (CHROMETA), Laboratory of Respiratory Diseases and Thoracic Surgery (BREATHE), KU Leuven, Leuven, Belgium
- Department of Respiratory Diseases, University Hospitals Leuven, Leuven, Belgium
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17
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Zhuang X, Chen P, Yang R, Man X, Wang R, Shi Y. Mendelian randomization analysis reveals the combined effects of epigenetics and telomere biology in hematologic cancers. Clin Epigenetics 2024; 16:120. [PMID: 39192284 DOI: 10.1186/s13148-024-01728-5] [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: 05/25/2024] [Accepted: 08/12/2024] [Indexed: 08/29/2024] Open
Abstract
BACKGROUND Telomere shortening and epigenetic modifications are key factors in aging and hematologic diseases. This study investigates the relationship of telomere length and epigenetic age acceleration (EAA) with hematologic cancers, blood cells, and biochemical markers through the epigenetic clocks. METHODS This study primarily utilizes genome-wide association studies of populations of European descent as instrumental variables, exploring the causal relationships between exposures and outcomes through a bidirectional two-sample Mendelian randomization (MR) approach. MR techniques include inverse variance weighted (IVW), MR Egger, and weighted median modes. Heterogeneity and pleiotropy in MR are assessed using Cochran's Q test and the MR Egger intercept, with the robustness of the conclusions further validated by multivariable MR (MVMR). RESULTS Our research shows that longer telomere lengths significantly increase the risk of multiple myeloma, leukemia, and lymphoma (OR > 1, P < 0.05) and establish a causal relationship between telomere length and red blood cell indices such as RBC (OR = 1.121, PIVW = 0.034), MCH (OR = 0.801, PIVW = 2.046e-06), MCV (OR = 0.801, PIVW = 0.001), and MCHC (OR = 0.813, PIVW = 0.002). Additionally, MVMR analysis revealed an association between DNA methylation PhenoAge acceleration and alkaline phosphatase (OR = 1.026, PIVW = 0.007). CONCLUSION The study clarifies the relationships between telomere length, EAA, and hematological malignancies, further emphasizing the prognostic significance of telomere length and EAA. This deepens our understanding of the pathogenesis of hematological diseases, which can inform risk assessment and therapeutic strategies.
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Affiliation(s)
- Xin Zhuang
- Department of Hematology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China
| | - Peng Chen
- Department of Hematology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China
| | - Rong Yang
- Department of Hematology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China
| | - Xiaoying Man
- Department of Hematology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China
| | - Ruochen Wang
- Department of Hematology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China
| | - Yifen Shi
- Department of Hematology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China.
- Qinghai Province Women and Children's Hospital, Wenzhou, China.
- Zhejiang Provincial Clinical Research Center for Hematological Disorders, Wenzhou, China.
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18
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Liu J, Pan R. Genetic liability to human serum metabolites is causally linked to telomere length: insights from genome-wide Mendelian randomization and metabolic pathways analysis. Front Nutr 2024; 11:1458442. [PMID: 39253325 PMCID: PMC11381963 DOI: 10.3389/fnut.2024.1458442] [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: 07/02/2024] [Accepted: 08/12/2024] [Indexed: 09/11/2024] Open
Abstract
Background Telomere has been recognized as a biomarker of accelerating aging, and telomere length (TL) shortening is closely related to diverse chronic illnesses. Human serum metabolites have demonstrated close correlations with TL maintenance or shortening in observational studies. Nevertheless, little is known about the underlying pathological mechanisms, and Mendelian randomization (MR) analysis of serum metabolites may provide a more comprehensive understanding of the potential biological process. Methods We employed a two-sample MR analysis method to assess the causal links between 486 serum metabolites and TL. We applied the inverse-variance weighted (IVW) approach as our primary analysis, and to assure the stability and robustness of our results, additional analysis methods including the weighted median, MR-Egger, and weighted mode were conducted. MR-Egger intercept test was utilized to detect the pleiotropy. Cochran's Q test was implemented to quantify the extent of heterogeneity. Furthermore, the pathway analysis was conducted to identify potential metabolic pathways. Results We identified 11 known blood metabolites associated with TL. Among these metabolites, four were lipid (taurocholate, dodecanedioate, 5,8-tetradecadienoate, and 15-methylpalmitate), one amino acid (levulinate (4-oxovaleate)), one carbohydrate (lactate), one nucleotide (pseudouridine), one energy (phosphate), and three xenobiotics (2-hydroxyacetaminophen sulfate, paraxanthine, and ergothioneine). The known protective metabolites included levulinate (4-oxovaleate), dodecanedioate, 5,8-tetradecadienoate, lactate, phosphate, paraxanthine, and ergothioneine. Multiple metabolic pathways have been identified as being implicated in the maintenance of telomere length. Conclusion Our MR analysis provided suggestive evidence supporting the causal relationships between 11 identified blood metabolites and TL, necessitating further exploration to clarify the mechanisms by which these serum metabolites and metabolic pathways may affect the progression of telomeres.
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Affiliation(s)
- Jingwen Liu
- Department of Psychiatry, Longyou People's Hospital Affiliated with Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Quzhou, China
| | - Renbing Pan
- Department of Urology, The Quzhou Affiliated Hospital of Wenzhou Medical University, Quzhou People's Hospital, Quzhou, China
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19
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Jin Z, Liu X, Guo H, Chen S, Zhu X, Pan S, Wu Y. Sex-specific modulating role of social support in the associations between oxidative stress, inflammation, and telomere length in older adults. J Behav Med 2024:10.1007/s10865-024-00515-0. [PMID: 39179728 DOI: 10.1007/s10865-024-00515-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/11/2024] [Accepted: 08/08/2024] [Indexed: 08/26/2024]
Abstract
Telomere length, a biomarker of human aging, is related to adverse health outcomes. Growing evidence indicates that oxidative stress and inflammation contributes to telomere shortening, whereas social support may protect from telomere shortening. Despite sex differences in telomere length and social support, little is known about whether there are sex differences in the relationship between oxidative stress/inflammation and telomere length, and sex-specific moderating roles of social support in older adults. Using data from the National Health and Nutrition Examination Survey (NHANES) 1999-2002, this study assessed whether the associations between oxidative stress/inflammation and telomere length vary with sex and explored social support as a moderator in these associations among 2289 older adults. Oxidative stress was measured based on serum Gamma-glutamyl transferase (GGT), and inflammation was measured based on C-reactive protein (CRP). After adjusting for the covariates, GGT was significantly associated with telomere length in females only (β = - 0.037, 95% CI = - 0.070, - 0.005), while CRP was associated with telomere length in males only (β = - 0.019, 95% CI = - 0.035, - 0.002). Moreover, high social support mitigated the negative association between GGT and telomere length, which was more evident in females. Furthermore, social support moderated the association between CRP and telomere length in males aged 70 and above. Our findings indicated that biological mechanisms related to telomere length may vary with sex, while social support plays a sex-specific moderating role.
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Affiliation(s)
- Zhou Jin
- Zhejiang Provincial Clinical Research Center for Mental Disorders, Wenzhou Key Laboratory of Basic and Translational Research for Mental Disorders, School of Mental Health and The Affiliated Wenzhou Kangning Hospital, Key Laboratory of Alzheimer's Disease of Zhejiang Province, Institute of Aging, Oujiang Laboratory (Zhejiang Lab for Regenerative Medicine, Vision and Brain Health), Wenzhou Medical University, Wenzhou, 325000, Zhejiang, China
| | - Xuejian Liu
- Zhejiang Provincial Clinical Research Center for Mental Disorders, Wenzhou Key Laboratory of Basic and Translational Research for Mental Disorders, School of Mental Health and The Affiliated Wenzhou Kangning Hospital, Key Laboratory of Alzheimer's Disease of Zhejiang Province, Institute of Aging, Oujiang Laboratory (Zhejiang Lab for Regenerative Medicine, Vision and Brain Health), Wenzhou Medical University, Wenzhou, 325000, Zhejiang, China
| | - Haonan Guo
- Department of Sociology, Faculty of Social Science, University of Macau, Avenida da Universidade, Taipa, Macau, China
| | - Sixuan Chen
- Zhejiang Provincial Clinical Research Center for Mental Disorders, Wenzhou Key Laboratory of Basic and Translational Research for Mental Disorders, School of Mental Health and The Affiliated Wenzhou Kangning Hospital, Key Laboratory of Alzheimer's Disease of Zhejiang Province, Institute of Aging, Oujiang Laboratory (Zhejiang Lab for Regenerative Medicine, Vision and Brain Health), Wenzhou Medical University, Wenzhou, 325000, Zhejiang, China
| | - Xianghe Zhu
- Zhejiang Provincial Clinical Research Center for Mental Disorders, Wenzhou Key Laboratory of Basic and Translational Research for Mental Disorders, School of Mental Health and The Affiliated Wenzhou Kangning Hospital, Key Laboratory of Alzheimer's Disease of Zhejiang Province, Institute of Aging, Oujiang Laboratory (Zhejiang Lab for Regenerative Medicine, Vision and Brain Health), Wenzhou Medical University, Wenzhou, 325000, Zhejiang, China
| | - Sipei Pan
- Department of Neurology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, Zhejiang, China
| | - Yili Wu
- Zhejiang Provincial Clinical Research Center for Mental Disorders, Wenzhou Key Laboratory of Basic and Translational Research for Mental Disorders, School of Mental Health and The Affiliated Wenzhou Kangning Hospital, Key Laboratory of Alzheimer's Disease of Zhejiang Province, Institute of Aging, Oujiang Laboratory (Zhejiang Lab for Regenerative Medicine, Vision and Brain Health), Wenzhou Medical University, Wenzhou, 325000, Zhejiang, China.
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20
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Spinou M, Naska A, Nelson CP, Codd V, Samani NJ, Bountziouka V. Micronutrient intake and telomere length: findings from the UK Biobank. Eur J Nutr 2024:10.1007/s00394-024-03460-5. [PMID: 39174689 DOI: 10.1007/s00394-024-03460-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/29/2023] [Accepted: 06/20/2024] [Indexed: 08/24/2024]
Abstract
PURPOSE To investigate whether micronutrient intake from food as well as the regular uptake of specific vitamins and/or minerals are associated with leucocyte telomere length (LTL). METHODS This is a cross-sectional study using data from 422,693 UK Biobank participants aged from 40 to 69 years old, during 2006-2010. LTL was measured as the ratio of telomere repeat number to a single-copy gene and was loge-transformed and z-standardized (z-LTL). Information concerning supplement use was collected at baseline through the touchscreen assessment, while micronutrient intake from food were self-reported through multiple web-based 24 h recall diaries. The association between micronutrient intake or supplement use and z-LTL was assessed using multivariable linear regression models adjusting for demographic, lifestyle and clinical characteristics. RESULTS About 50% (n = 131,810) of the participants, with complete data on all covariates, self-reported regular supplement intake. Whilst overall supplement intake was not associated with z-LTL, trends toward shorter z-LTL with regular vitamin B (-0.019 (95% CI: -0.041; 0.002)) and vitamin B9 (-0.027 (-0.054; 0.000)) supplement intake were observed. z-LTL was associated with food intake of pantothenic acid (-0.020 (-0.033; -0.007)), vitamin B6 (-0.015 (-0.027; -0.003)), biotin (0.010 (0.002; 0.018)) and folate (0.016 (0.003; 0.030)). Associations of z-LTL with these micronutrients were differentiated according to supplement intake. CONCLUSION Negative associations equivalent to a year or less of age-related change in LTL between micronutrient intake and LTL were observed. Due to this small effect, the clinical importance of the associations and any relevance to the effects of vitamin and micronutrient intake toward chronic disease prevention remains uncertain.
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Affiliation(s)
- Marianna Spinou
- Department of Hygiene, Epidemiology and Medical Statistics, School of Medicine, National and Kapodistrian University of Athens, Athens, Greece
| | - Androniki Naska
- Department of Hygiene, Epidemiology and Medical Statistics, School of Medicine, National and Kapodistrian University of Athens, Athens, Greece
| | - 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
| | - Vasiliki Bountziouka
- Department of Cardiovascular Sciences, University of Leicester, Leicester, UK.
- NIHR Leicester Biomedical Research Centre, Glenfield Hospital, Leicester, UK.
- Computer Simulation, Genomics and Data Analysis Laboratory, Department of Food Science and Nutrition, School of the Environment, University of the Aegean, Ierou Lochou 10 & Makrygianni, Lemnos, 81400, Greece.
- Population, Policy, and Practice Research and Teaching Department, GOS Institute of child health, UCL, London, UK.
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21
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Li Y, Zhuang Z, Si H, Liu Q, Yu J, Zhou W, Huang T, Wang C. Causal Associations of Cognitive Reserve and Hierarchical Aging-Related Outcomes: A Two-Sample Mendelian Randomization Study. Biol Res Nurs 2024:10998004241274271. [PMID: 39154286 DOI: 10.1177/10998004241274271] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 08/19/2024]
Abstract
PURPOSE Two-sample Mendelian randomization methods were used to explore the causal effects of cognitive reserve proxies, such as educational attainment, occupational attainment, and physical activity (PA), on biological (leukocyte telomere length), phenotypic (sarcopenia-related features), and functional (frailty index and cognitive performance) aging levels. RESULTS Educational attainment had a potential protective effect on the telomere length (β = 0.10, 95% CI: 0.08-0.11), sarcopenia-related features (β = 0.04-0.24, 95% CI: 0.02-0.27), frailty risk (β = -0.31, 95% CI: -0.33 to -0.28), cognitive performance (β = 0.77, 95% CI: 0.75-0.80). Occupational attainment was causally related with sarcopenia-related features (β = 0.07-0.10, 95% CI: 0.05-0.14), and cognitive performance (β = 0.30, 95% CI: 0.24-0.36). Device-measured PA was potentially associated with one sarcopenia-related feature (β = 0.14, 95% CI: 0.03-0.25). CONCLUSIONS Our findings support the potential causality of educational attainment on biological, phenotypic, and functional aging outcomes, of occupational attainment on phenotypic and functional aging-related outcomes, and of PA on phenotypic aging-related outcomes.
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Affiliation(s)
- Yanyan Li
- Department of Basic Nursing, School of Nursing, Peking University, Beijing, China
| | - Zhenhuang Zhuang
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China
| | - Huaxin Si
- Department of Basic Nursing, School of Nursing, Peking University, Beijing, China
| | - Qinqin Liu
- Department of Basic Nursing, School of Nursing, Peking University, Beijing, China
| | - Jiaqi Yu
- Department of Basic Nursing, School of Nursing, Peking University, Beijing, China
| | - Wendie Zhou
- Department of Basic Nursing, School of Nursing, Peking University, Beijing, China
| | - Tao Huang
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China
- Center for Intelligent Public Health, Academy for Artificial Intelligence, Peking University, Beijing, China
- Ministry of Education, Key Laboratory of Molecular Cardiovascular Sciences (Peking University), Beijing, China
| | - Cuili Wang
- Department of Basic Nursing, School of Nursing, Peking University, Beijing, China
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22
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Qiu H, Shi M, Zhong Z, Hu H, Sang H, Zhou M, Feng Z. Causal Relationship between Aging and Anorexia Nervosa: A White-Matter-Microstructure-Mediated Mendelian Randomization Analysis. Biomedicines 2024; 12:1874. [PMID: 39200338 PMCID: PMC11351342 DOI: 10.3390/biomedicines12081874] [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: 06/24/2024] [Revised: 07/31/2024] [Accepted: 08/12/2024] [Indexed: 09/02/2024] Open
Abstract
This study employed a two-step Mendelian randomization analysis to explore the causal relationship between telomere length, as a marker of aging, and anorexia nervosa and to evaluate the mediating role of changes in the white matter microstructure across different brain regions. We selected genetic variants associated with 675 diffusion magnetic resonance imaging phenotypes representing changes in brain white matter. F-statistics confirmed the validity of the instruments, ensuring robust causal inference. Sensitivity analyses, including heterogeneity tests, horizontal pleiotropy tests, and leave-one-out tests, validated the results. The results show that telomere length is significantly negatively correlated with anorexia nervosa in a unidirectional manner (p = 0.017). Additionally, changes in specific white matter structures, such as the internal capsule, corona radiata, posterior thalamic radiation, left cingulate gyrus, left longitudinal fasciculus, and left forceps minor (p < 0.05), were identified as mediators. These findings enhance our understanding of the neural mechanisms, underlying the exacerbation of anorexia nervosa with aging; emphasize the role of brain functional networks in disease progression; and provide potential biological targets for future therapeutic interventions.
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Affiliation(s)
- Haoyuan Qiu
- School of Biomedical Engineering, Southern Medical University, Guangzhou 510515, China; (H.Q.); (M.S.); (Z.Z.); (H.H.)
| | - Miao Shi
- School of Biomedical Engineering, Southern Medical University, Guangzhou 510515, China; (H.Q.); (M.S.); (Z.Z.); (H.H.)
| | - Zicheng Zhong
- School of Biomedical Engineering, Southern Medical University, Guangzhou 510515, China; (H.Q.); (M.S.); (Z.Z.); (H.H.)
| | - Haoran Hu
- School of Biomedical Engineering, Southern Medical University, Guangzhou 510515, China; (H.Q.); (M.S.); (Z.Z.); (H.H.)
| | - Hunini Sang
- School of Pharmaceutical Sciences, Southern Medical University, Guangzhou 510515, China;
| | - Meijuan Zhou
- Department of Radiation Medicine, Guangdong Provincial Key Laboratory of Tropical Disease Research, School of Public Health, Southern Medical University, Guangzhou 510515, China
| | - Zhijun Feng
- Department of Radiation Medicine, Guangdong Provincial Key Laboratory of Tropical Disease Research, School of Public Health, Southern Medical University, Guangzhou 510515, China
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23
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Strauss JD, Brown DW, Zhou W, Dagnall C, Yuan JM, Im A, Savage SA, Wang Y, Rafati M, Spellman SR, Gadalla SM. Telomere length and clonal chromosomal alterations in peripheral blood of patients with severe aplastic anaemia. Br J Haematol 2024. [PMID: 39103182 DOI: 10.1111/bjh.19681] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/06/2024] [Accepted: 07/21/2024] [Indexed: 08/07/2024]
Abstract
Severe aplastic anaemia (SAA) is a rare and life-threatening bone marrow failure disorder. We used data from the transplant outcomes in aplastic anaemia study to characterize mosaic chromosomal alterations (mCAs) in the peripheral blood of 738 patients with acquired SAA and evaluate their associations with telomere length (TL) and survival post-haematopoietic cell transplant (HCT). The median age at HCT was 20.4 years (range = 0.2-77.4). Patients with SAA had shorter TL than expected for their age (median TL percentile for age: 35.7th; range <1-99.99). mCAs were detected in 211 patients (28.6%), with chr6p copy-neutral loss of heterozygosity (6p-CNLOH) in 15.9% and chr7 loss in 3.0% of the patients; chrX loss was detected in 4.1% of female patients. Negative correlations between mCA cell fraction and measured TL (r = -0.14, p = 0.0002), and possibly genetically predicted TL (r = -0.07, p = 0.06) were noted. The post-HCT 3-year survival probability was low in patients with chr7 loss (39% vs. 72% in patients with chr6-CNLOH, 60% in patients with other mCAs and 70% in patients with no mCAs; p-log rank = 0.001). In multivariable analysis, short TL (p = 0.01), but not chr7 loss (p = 0.29), was associated with worse post-HCT survival. TL may guide clinical decisions in patients with SAA.
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Affiliation(s)
- Joshua D Strauss
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland, USA
- Department of Epidemiology, School of Public Health, University of Pittsburgh, Pittsburgh, Pennsylvania, USA
| | - Derek W Brown
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland, USA
| | - Weiyin Zhou
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland, USA
- Leidos Biomedical Research, Frederick National Laboratory for Cancer Research, Frederick, Maryland, USA
| | - Casey Dagnall
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland, USA
- Leidos Biomedical Research, Frederick National Laboratory for Cancer Research, Frederick, Maryland, USA
| | - Jian-Min Yuan
- Department of Epidemiology, School of Public Health, University of Pittsburgh, Pittsburgh, Pennsylvania, USA
- Cancer Epidemiology and Prevention Program, UPMC Hillman Cancer Center, Pittsburgh, Pennsylvania, USA
| | - Annie Im
- Division of Hematology/Oncology, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania, USA
| | - Sharon A Savage
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland, USA
| | - Youjin Wang
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland, USA
| | - Maryam Rafati
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland, USA
| | - Stephen R Spellman
- Center for International Blood and Marrow Transplant Research, NMDP, Minneapolis, Minnesota, USA
| | - Shahinaz M Gadalla
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland, USA
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24
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Zhang Z, Ren H, Han R, Li Q, Yu J, Zhao Y, Tang L, Peng Y, Liu Y, Gan C, Liu K, Luo Q, Qiu H, Jiang C. Impact of childhood maltreatment on aging: a comprehensive Mendelian randomization analysis of multiple age-related biomarkers. Clin Epigenetics 2024; 16:103. [PMID: 39103963 PMCID: PMC11299400 DOI: 10.1186/s13148-024-01720-z] [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: 06/08/2024] [Accepted: 08/01/2024] [Indexed: 08/07/2024] Open
Abstract
BACKGROUND Childhood maltreatment (CM) is linked to long-term adverse health outcomes, including accelerated biological aging and cognitive decline. This study investigates the relationship between CM and various aging biomarkers: telomere length, facial aging, intrinsic epigenetic age acceleration (IEAA), GrimAge, HannumAge, PhenoAge, frailty index, and cognitive performance. METHODS We conducted a Mendelian randomization (MR) study using published GWAS summary statistics. Aging biomarkers included telomere length (qPCR), facial aging (subjective evaluation), and epigenetic age markers (HannumAge, IEAA, GrimAge, PhenoAge). The frailty index was calculated from clinical assessments, and cognitive performance was evaluated with standardized tests. Analyses included Inverse-Variance Weighted (IVW), MR Egger, and Weighted Median (WM) methods, adjusted for multiple comparisons. RESULTS CM was significantly associated with shorter telomere length (IVW: β = - 0.1, 95% CI - 0.18 to - 0.02, pFDR = 0.032) and increased HannumAge (IVW: β = 1.33, 95% CI 0.36 to 2.3, pFDR = 0.028), GrimAge (IVW: β = 1.19, 95% CI 0.19 to 2.2, pFDR = 0.040), and PhenoAge (IVW: β = 1.4, 95% CI 0.12 to 2.68, pFDR = 0.053). A significant association was also found with the frailty index (IVW: β = 0.31, 95% CI 0.13 to 0.49, pFDR = 0.006). No significant associations were found with facial aging, IEAA, or cognitive performance. CONCLUSIONS CM is linked to accelerated biological aging, shown by shorter telomere length and increased epigenetic aging markers. CM was also associated with increased frailty, highlighting the need for early interventions to mitigate long-term effects. Further research should explore mechanisms and prevention strategies.
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Affiliation(s)
- Zheng Zhang
- Department of Sleep and Psychology, Chongqing Health Center for Women and Children, Chongqing, 401147, China
- Department of Sleep and Psychology, Women and Children's Hospital of Chongqing Medical University, Chongqing, 401147, China
| | - Hao Ren
- Chongqing Changshou District, Mental Health Center, Chongqing, 401231, China
- Department of Psychiatry, The First Affiliated Hospital of Chongqing Medical University, Chongqing, 400016, China
| | - Rong Han
- Department of Sleep and Psychology, Chongqing Health Center for Women and Children, Chongqing, 401147, China
- Department of Sleep and Psychology, Women and Children's Hospital of Chongqing Medical University, Chongqing, 401147, China
| | - Qiyin Li
- Department of Sleep and Psychology, Chongqing Health Center for Women and Children, Chongqing, 401147, China
- Department of Sleep and Psychology, Women and Children's Hospital of Chongqing Medical University, Chongqing, 401147, China
| | - Jiangyou Yu
- Department of Sleep and Psychology, Chongqing Health Center for Women and Children, Chongqing, 401147, China
- Department of Sleep and Psychology, Women and Children's Hospital of Chongqing Medical University, Chongqing, 401147, China
| | - Yuan Zhao
- Department of Sleep and Psychology, Chongqing Health Center for Women and Children, Chongqing, 401147, China
- Department of Sleep and Psychology, Women and Children's Hospital of Chongqing Medical University, Chongqing, 401147, China
| | - Liwei Tang
- Department of Sleep and Psychology, Chongqing Health Center for Women and Children, Chongqing, 401147, China
- Department of Sleep and Psychology, Women and Children's Hospital of Chongqing Medical University, Chongqing, 401147, China
| | - Yadong Peng
- Department of Sleep and Psychology, Chongqing Health Center for Women and Children, Chongqing, 401147, China
- Department of Sleep and Psychology, Women and Children's Hospital of Chongqing Medical University, Chongqing, 401147, China
| | - Ying Liu
- Department of Sleep and Psychology, Chongqing Health Center for Women and Children, Chongqing, 401147, China
- Department of Sleep and Psychology, Women and Children's Hospital of Chongqing Medical University, Chongqing, 401147, China
| | - Cheng Gan
- Department of Sleep and Psychology, Chongqing Health Center for Women and Children, Chongqing, 401147, China
- Department of Sleep and Psychology, Women and Children's Hospital of Chongqing Medical University, Chongqing, 401147, China
| | - Keyi Liu
- Department of Sleep and Psychology, Chongqing Health Center for Women and Children, Chongqing, 401147, China
- Department of Sleep and Psychology, Women and Children's Hospital of Chongqing Medical University, Chongqing, 401147, China
| | - Qinghua Luo
- Department of Psychiatry, The First Affiliated Hospital of Chongqing Medical University, Chongqing, 400016, China
| | - Haitang Qiu
- Department of Psychiatry, The First Affiliated Hospital of Chongqing Medical University, Chongqing, 400016, China.
| | - Chenggang Jiang
- Department of Sleep and Psychology, Chongqing Health Center for Women and Children, Chongqing, 401147, China.
- Department of Sleep and Psychology, Women and Children's Hospital of Chongqing Medical University, Chongqing, 401147, China.
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25
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Went M, Duran-Lozano L, Halldorsson GH, Gunnell A, Ugidos-Damboriena N, Law P, Ekdahl L, Sud A, Thorleifsson G, Thodberg M, Olafsdottir T, Lamarca-Arrizabalaga A, Cafaro C, Niroula A, Ajore R, Lopez de Lapuente Portilla A, Ali Z, Pertesi M, Goldschmidt H, Stefansdottir L, Kristinsson SY, Stacey SN, Love TJ, Rognvaldsson S, Hajek R, Vodicka P, Pettersson-Kymmer U, Späth F, Schinke C, Van Rhee F, Sulem P, Ferkingstad E, Hjorleifsson Eldjarn G, Mellqvist UH, Jonsdottir I, Morgan G, Sonneveld P, Waage A, Weinhold N, Thomsen H, Försti A, Hansson M, Juul-Vangsted A, Thorsteinsdottir U, Hemminki K, Kaiser M, Rafnar T, Stefansson K, Houlston R, Nilsson B. Deciphering the genetics and mechanisms of predisposition to multiple myeloma. Nat Commun 2024; 15:6644. [PMID: 39103364 DOI: 10.1038/s41467-024-50932-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/03/2024] [Accepted: 07/24/2024] [Indexed: 08/07/2024] Open
Abstract
Multiple myeloma (MM) is an incurable malignancy of plasma cells. Epidemiological studies indicate a substantial heritable component, but the underlying mechanisms remain unclear. Here, in a genome-wide association study totaling 10,906 cases and 366,221 controls, we identify 35 MM risk loci, 12 of which are novel. Through functional fine-mapping and Mendelian randomization, we uncover two causal mechanisms for inherited MM risk: longer telomeres; and elevated levels of B-cell maturation antigen (BCMA) and interleukin-5 receptor alpha (IL5RA) in plasma. The largest increase in BCMA and IL5RA levels is mediated by the risk variant rs34562254-A at TNFRSF13B. While individuals with loss-of-function variants in TNFRSF13B develop B-cell immunodeficiency, rs34562254-A exerts a gain-of-function effect, increasing MM risk through amplified B-cell responses. Our results represent an analysis of genetic MM predisposition, highlighting causal mechanisms contributing to MM development.
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Affiliation(s)
- Molly Went
- Division of Genetics and Epidemiology, The Institute of Cancer Research, London, SW7 3RP, UK
| | - Laura Duran-Lozano
- Department of Laboratory Medicine, Lund University, SE-221 84, Lund, Sweden
- Lund Stem Cell Center, Lund University, SE-221 84, Lund, Sweden
| | | | - Andrea Gunnell
- Division of Genetics and Epidemiology, The Institute of Cancer Research, London, SW7 3RP, UK
| | - Nerea Ugidos-Damboriena
- Department of Laboratory Medicine, Lund University, SE-221 84, Lund, Sweden
- Lund Stem Cell Center, Lund University, SE-221 84, Lund, Sweden
| | - Philip Law
- Division of Genetics and Epidemiology, The Institute of Cancer Research, London, SW7 3RP, UK
| | - Ludvig Ekdahl
- Department of Laboratory Medicine, Lund University, SE-221 84, Lund, Sweden
- Lund Stem Cell Center, Lund University, SE-221 84, Lund, Sweden
| | - Amit Sud
- Division of Genetics and Epidemiology, The Institute of Cancer Research, London, SW7 3RP, UK
| | | | - Malte Thodberg
- Department of Laboratory Medicine, Lund University, SE-221 84, Lund, Sweden
- Lund Stem Cell Center, Lund University, SE-221 84, Lund, Sweden
| | | | - Antton Lamarca-Arrizabalaga
- Department of Laboratory Medicine, Lund University, SE-221 84, Lund, Sweden
- Lund Stem Cell Center, Lund University, SE-221 84, Lund, Sweden
| | - Caterina Cafaro
- Department of Laboratory Medicine, Lund University, SE-221 84, Lund, Sweden
- Lund Stem Cell Center, Lund University, SE-221 84, Lund, Sweden
| | - Abhishek Niroula
- Department of Laboratory Medicine, Lund University, SE-221 84, Lund, Sweden
- Lund Stem Cell Center, Lund University, SE-221 84, Lund, Sweden
| | - Ram Ajore
- Department of Laboratory Medicine, Lund University, SE-221 84, Lund, Sweden
- Lund Stem Cell Center, Lund University, SE-221 84, Lund, Sweden
| | - Aitzkoa Lopez de Lapuente Portilla
- Department of Laboratory Medicine, Lund University, SE-221 84, Lund, Sweden
- Lund Stem Cell Center, Lund University, SE-221 84, Lund, Sweden
| | - Zain Ali
- Department of Laboratory Medicine, Lund University, SE-221 84, Lund, Sweden
- Lund Stem Cell Center, Lund University, SE-221 84, Lund, Sweden
| | - Maroulio Pertesi
- Department of Laboratory Medicine, Lund University, SE-221 84, Lund, Sweden
- Lund Stem Cell Center, Lund University, SE-221 84, Lund, Sweden
| | - Hartmut Goldschmidt
- Department of Internal Medicine V, University of Heidelberg, 69120, Heidelberg, Germany
| | | | - Sigurdur Y Kristinsson
- Landspitali, National University Hospital of Iceland, IS-101, Reykjavik, Iceland
- Faculty of Medicine, University of Iceland, IS-101, Reykjavik, Iceland
| | - Simon N Stacey
- deCODE Genetics/Amgen, Sturlugata 8, IS-101, Reykjavik, Iceland
| | - Thorvardur J Love
- Landspitali, National University Hospital of Iceland, IS-101, Reykjavik, Iceland
- Faculty of Medicine, University of Iceland, IS-101, Reykjavik, Iceland
| | - Saemundur Rognvaldsson
- Landspitali, National University Hospital of Iceland, IS-101, Reykjavik, Iceland
- Faculty of Medicine, University of Iceland, IS-101, Reykjavik, Iceland
| | - Roman Hajek
- University Hospital Ostrava and University of Ostrava, Ostrava, Czech Republic
| | - Pavel Vodicka
- Institute of Experimental Medicine, Academy of Sciences of the Czech Republic, Prague, Czech Republic
| | | | - Florentin Späth
- Department of Radiation Sciences, Umeå University, SE-901 87, Umeå, Sweden
| | - Carolina Schinke
- Myeloma Center, University of Arkansas for Medical Sciences, Little Rock, AR, USA
| | - Frits Van Rhee
- Myeloma Center, University of Arkansas for Medical Sciences, Little Rock, AR, USA
| | - Patrick Sulem
- deCODE Genetics/Amgen, Sturlugata 8, IS-101, Reykjavik, Iceland
| | | | | | | | | | - Gareth Morgan
- Perlmutter Cancer Center, Langone Health, New York University, New York, NY, USA
| | - Pieter Sonneveld
- Department of Hematology, Erasmus MC Cancer Institute, 3075 EA, Rotterdam, The Netherlands
| | - Anders Waage
- Department of Cancer Research and Molecular Medicine, Norwegian University of Science and Technology, Box 8905, N-7491, Trondheim, Norway
| | - Niels Weinhold
- Department of Internal Medicine V, University of Heidelberg, 69120, Heidelberg, Germany
- German Cancer Research Center (DKFZ), D-69120, Heidelberg, Germany
| | | | - Asta Försti
- German Cancer Research Center (DKFZ), D-69120, Heidelberg, Germany
- Hopp Children's Cancer Center, Heidelberg, Germany
| | - Markus Hansson
- Department of Laboratory Medicine, Lund University, SE-221 84, Lund, Sweden
- Section of Hematology, Sahlgrenska University Hospital, Gothenburg, SE-413 45, Sweden
- Skåne University Hospital, SE-221 85, Lund, Sweden
| | - Annette Juul-Vangsted
- Department of Haematology, University Hospital of Copenhagen at Rigshospitalet, Blegdamsvej 9, DK-2100, Copenhagen, Denmark
| | - Unnur Thorsteinsdottir
- deCODE Genetics/Amgen, Sturlugata 8, IS-101, Reykjavik, Iceland
- Faculty of Medicine, University of Iceland, IS-101, Reykjavik, Iceland
| | - Kari Hemminki
- German Cancer Research Center (DKFZ), D-69120, Heidelberg, Germany
- Faculty of Medicine in Pilsen, Charles University, 30605, Pilsen, Czech Republic
| | - Martin Kaiser
- Division of Genetics and Epidemiology, The Institute of Cancer Research, London, SW7 3RP, UK
| | - Thorunn Rafnar
- deCODE Genetics/Amgen, Sturlugata 8, IS-101, Reykjavik, Iceland
| | - Kari Stefansson
- deCODE Genetics/Amgen, Sturlugata 8, IS-101, Reykjavik, Iceland
- Faculty of Medicine, University of Iceland, IS-101, Reykjavik, Iceland
| | - Richard Houlston
- Division of Genetics and Epidemiology, The Institute of Cancer Research, London, SW7 3RP, UK.
| | - Björn Nilsson
- Department of Laboratory Medicine, Lund University, SE-221 84, Lund, Sweden.
- Lund Stem Cell Center, Lund University, SE-221 84, Lund, Sweden.
- Broad Institute, 415 Main Street, Cambridge, MA, 02142, USA.
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26
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Band G, Leffler EM. Malaria endemicity linked to shorter telomeres in leukocytes. Trends Parasitol 2024; 40:660-661. [PMID: 39013662 PMCID: PMC11309882 DOI: 10.1016/j.pt.2024.06.017] [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: 06/25/2024] [Accepted: 06/28/2024] [Indexed: 07/18/2024]
Abstract
Leukocyte telomere length is a highly polygenic trait that has been associated with a complex range of lifestyle factors and disease risk. McQuillan et al.'s results comparing telomere length to malaria incidence rates suggest that infections may be another important factor, possibly through permanent shortening of telomeres in hematopoietic progenitor cells.
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Affiliation(s)
- Gavin Band
- Centre for Human Genetics, University of Oxford, Oxford, UK
| | - Ellen M Leffler
- Department of Human Genetics, University of Utah School of Medicine, Salt Lake City, UT, USA.
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27
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Wang Y, Sun F, Yue C, Man Q. Peripheral blood leukocyte Telomere length and endometriosis: A Mendelian randomization study. Heliyon 2024; 10:e33854. [PMID: 39100478 PMCID: PMC11295982 DOI: 10.1016/j.heliyon.2024.e33854] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/09/2024] [Revised: 06/26/2024] [Accepted: 06/27/2024] [Indexed: 08/06/2024] Open
Abstract
Background The link between peripheral blood leukocyte telomere length (LTL) and endometriosis has remained uncertain. In order to investigate this association, a two-sample Mendelian randomization(MR) analysis was performed. Methods We extracted Single-nucleotide polymorphisms (SNPs) associated with LTL from a published genome-wide association study (GWAS) comprising 472,174 individuals. Data on endometriosis, including its seven subtypes, were sourced from the iue open gwas project. Four methods were employed for MR: Inverse-variance weighted analysis (IVW), Mendelian randomization-Egger regression (MR Egger), weighted-median analysis, and Weighted Mode. Results Genetically determined LTL was identified as a factor that can promote the occurrence of endometriosis. With every 1-SD increase in LTL, the risk of endometriosis increased by 26 % (OR = 1.260, 95 % CI = 1.073 to 1.479; P = 0.005). Genetically determined LTL also contributed to endometriosis subtypes: intestine (OR = 3.584, 95 % CI = 1.597 to 8.041; P = 0.002), ovary (OR = 1.308, 95 % CI = 1.033 to 1.655; P = 0.026), rectovaginal septum and vagina (OR = 1.360, 95 % CI = 1.000 to 1.851; P = 0.049). There was no observed causal relationship between LTL and the other four subtypes. Conclusion This study, utilizing genetic data, offers evidence that longer LTL may cause increased risks of endometriosis, specifically endometriosis of the intestine, ovary, rectovaginal septum and vagina. These findings not only suggest that LTL may serve as a predictive factor for assessing the prevalence of three endometriosis subtypes but also provide new insights into the study of endometriosis pathogenesis.
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Affiliation(s)
- Ying Wang
- Department of Clinical Laboratory, Shanghai Fourth People's Hospital, School of Medicine, Tongji University, Shanghai, China
| | - Fenyong Sun
- Department of Clinical Laboratory, Shanghai Tenth People's Hospital, School of Medicine, Tongji University, Shanghai, China
| | - Chaoyan Yue
- Department of Clinical Laboratory, Obstetrics and Gynecology Hospital of Fudan University, Shanghai, China
| | - Qiuhong Man
- Department of Clinical Laboratory, Shanghai Fourth People's Hospital, School of Medicine, Tongji University, Shanghai, China
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Liu S, Deng Y, Liu H, Fu Z, Wang Y, Zhou M, Feng Z. Causal Relationship between Meat Intake and Biological Aging: Evidence from Mendelian Randomization Analysis. Nutrients 2024; 16:2433. [PMID: 39125314 PMCID: PMC11313912 DOI: 10.3390/nu16152433] [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: 06/23/2024] [Revised: 07/22/2024] [Accepted: 07/24/2024] [Indexed: 08/12/2024] Open
Abstract
Existing research indicates that different types of meat have varying effects on health and aging, but the specific causal relationships remain unclear. This study aimed to explore the causal relationship between different types of meat intake and aging-related phenotypes. This study employed Mendelian randomization (MR) to select genetic variants associated with meat intake from large genomic databases, ensuring the independence and pleiotropy-free nature of these instrumental variables (IVs), and calculated the F-statistic to evaluate the strength of the IVs. The validity of causal estimates was assessed through sensitivity analyses and various MR methods (MR-Egger, weighted median, inverse-variance weighted (IVW), simple mode, and weighted mode), with the MR-Egger regression intercept used to test for pleiotropy bias and Cochran's Q test employed to evaluate the heterogeneity of the results. The findings reveal a positive causal relationship between meat consumers and DNA methylation PhenoAge acceleration, suggesting that increased meat intake may accelerate the biological aging process. Specifically, lamb intake is found to have a positive causal effect on mitochondrial DNA copy number, while processed meat consumption shows a negative causal effect on telomere length. No significant causal relationships were observed for other types of meat intake. This study highlights the significant impact that processing and cooking methods have on meat's role in health and aging, enhancing our understanding of how specific types of meat and their preparation affect the aging process, providing a theoretical basis for dietary strategies aimed at delaying aging and enhancing quality of life.
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Affiliation(s)
| | | | | | | | | | - Meijuan Zhou
- Department of Radiation medicine, Guangdong Provincial Key Laboratory of Tropical Disease Research, School of Public Health, Southern Medical University, Guangzhou 510515, China; (S.L.); (Y.D.); (H.L.); (Z.F.); (Y.W.)
| | - Zhijun Feng
- Department of Radiation medicine, Guangdong Provincial Key Laboratory of Tropical Disease Research, School of Public Health, Southern Medical University, Guangzhou 510515, China; (S.L.); (Y.D.); (H.L.); (Z.F.); (Y.W.)
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Zhu S, Hao Z, Chen Q, Liu X, Wu W, Luo Y, Zhang F. Casual effects of telomere length on sarcoidosis: a bidirectional Mendelian randomization analysis. Front Med (Lausanne) 2024; 11:1408980. [PMID: 39086950 PMCID: PMC11288844 DOI: 10.3389/fmed.2024.1408980] [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: 03/29/2024] [Accepted: 07/02/2024] [Indexed: 08/02/2024] Open
Abstract
Background Telomere length, crucial for genomic stability, have been implicated in various inflamm-aging diseases, but their role in sarcoidosis remains unexplored. Objective This study aims to explore the casual effects between TL and sarcoidosis via a bidirectional Mendelian Randomization (MR) study. Methods We examined single nucleotide polymorphisms (SNPs) associated with TL and sarcoidosis, utilizing available open-access genome-wide association study (GWAS) databases from the UK Biobank and FinnGen. We employed five MR techniques, including Inverse Variance Weighted (IVW), MR Egger, weighted median (WM), Robust adjusted profile score (RAPS), and Maximum likelihood, to assess causal relationships and explore pleiotropy. Results Summary data extracted from GWAS datasets of TL (n = 472,174) and (n = 217,758) of European ancestry. Employing 130 SNPs with genome-wide significance as instrumental factors for TL, we detect a significant negative correlation between TL and sarcoidosis (OR: 0.682, 95% confidence interval: 0.524-0.888, p : 0.0045). Similarly, utilizing 6 SNPs with genome-wide significance as instrumental factors for sarcoidosis, we fail to identify a noteworthy association between sarcoidosis and TL (OR: 0.992, 95% confidence interval: 0.979-1.005, p : 0.2424). Conclusion Our results suggest that longer telomeres may reduce the risk of sarcoidosis, highlighting TL as a potential biomarker for diagnosis and long-term monitoring. Understanding the critical role of telomere shortening enables more effective focus on diagnosing, treating, and curing sarcoidosis linked to telomeres. Clinical investigations into treatments that enhance TL are warranted.
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Affiliation(s)
- Shiben Zhu
- School of Nursing and Health Studies, Hong Kong Metropolitan University, Kowloon, Hong Kong SAR, China
| | - Ziyu Hao
- Jockey Club School of Public Health and Primary Care, The Chinese University of Hong Kong, Shatin, Hong Kong SAR, China
| | - Qihang Chen
- School of Nursing and Health Studies, Hong Kong Metropolitan University, Kowloon, Hong Kong SAR, China
| | - Xiaoliu Liu
- Medical Laboratory of Shenzhen Luohu People’s Hospital, Shenzhen, Guangdong, China
| | - Wenyan Wu
- Medical Laboratory of Shenzhen Luohu People’s Hospital, Shenzhen, Guangdong, China
| | - Yanping Luo
- Medical Laboratory of Shenzhen Luohu People’s Hospital, Shenzhen, Guangdong, China
| | - Fang Zhang
- Department of Science and Education, Shenzhen Baoan Women's and Children's Hospital, Shenzhen, Guangdong, China
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30
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Wong JYY, Blechter B, Liu Z, Shi J, Roger VL. Genetic susceptibility to chronic diseases leads to heart failure among Europeans: the influence of leukocyte telomere length. Hum Mol Genet 2024; 33:1262-1272. [PMID: 38676403 PMCID: PMC11227624 DOI: 10.1093/hmg/ddae063] [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: 11/29/2023] [Revised: 03/07/2024] [Accepted: 03/25/2024] [Indexed: 04/28/2024] Open
Abstract
BACKGROUND Genetic susceptibility to various chronic diseases has been shown to influence heart failure (HF) risk. However, the underlying biological pathways, particularly the role of leukocyte telomere length (LTL), are largely unknown. We investigated the impact of genetic susceptibility to chronic diseases and various traits on HF risk, and whether LTL mediates or modifies the pathways. METHODS We conducted prospective cohort analyses on 404 883 European participants from the UK Biobank, including 9989 incident HF cases. Multivariable Cox regression was used to estimate associations between HF risk and 24 polygenic risk scores (PRSs) for various diseases or traits previously generated using a Bayesian approach. We assessed multiplicative interactions between the PRSs and LTL previously measured in the UK Biobank using quantitative PCR. Causal mediation analyses were conducted to estimate the proportion of the total effect of PRSs acting indirectly through LTL, an integrative marker of biological aging. RESULTS We identified 9 PRSs associated with HF risk, including those for various cardiovascular diseases or traits, rheumatoid arthritis (P = 1.3E-04), and asthma (P = 1.8E-08). Additionally, longer LTL was strongly associated with decreased HF risk (P-trend = 1.7E-08). Notably, LTL strengthened the asthma-HF relationship significantly (P-interaction = 2.8E-03). However, LTL mediated only 1.13% (P < 0.001) of the total effect of the asthma PRS on HF risk. CONCLUSIONS Our findings shed light onto the shared genetic susceptibility between HF risk, asthma, rheumatoid arthritis, and other traits. Longer LTL strengthened the genetic effect of asthma in the pathway to HF. These results support consideration of LTL and PRSs in HF risk prediction.
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Affiliation(s)
- Jason Y Y Wong
- Epidemiology and Community Health Branch, National Heart Lung and Blood Institute, 10 Center Drive, Bethesda, MD 20892, United States
| | - Batel Blechter
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, 9609 Medical Center Drive, Rockville, MD 20850, United States
| | - Zhonghua Liu
- Department of Biostatistics, Mailman School of Public Health, Columbia University, 722 W 168th St, New York, NY 10032, United States
| | - Jianxin Shi
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, 9609 Medical Center Drive, Rockville, MD 20850, United States
| | - Véronique L Roger
- Epidemiology and Community Health Branch, National Heart Lung and Blood Institute, 10 Center Drive, Bethesda, MD 20892, United States
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Huang Z, Peng S, Cen T, Wang X, Ma L, Cao Z. Association between biological ageing and periodontitis: Evidence from a cross-sectional survey and multi-omics Mendelian randomization analysis. J Clin Periodontol 2024. [PMID: 38956929 DOI: 10.1111/jcpe.14040] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/04/2024] [Revised: 06/07/2024] [Accepted: 06/21/2024] [Indexed: 07/04/2024]
Abstract
AIM To investigate the relationship and potential causality between biological ageing and periodontitis. MATERIALS AND METHODS We obtained the National Health and Nutrition Examination Survey (NHANES) and genome-wide association study (GWAS) summary statistics as well as single-cell sequencing data. Multivariate regression analysis based on cross-sectional data, Mendelian randomization (MR) and multi-omics integration analysis were employed to explore the causal association and potential molecular mechanisms between biological ageing and periodontitis. Additionally, two-step MR mediation analysis explored the risk factors in biological ageing-mediated periodontitis. RESULTS We analysed data from 3189 participants in the NHANES data and found that higher biological age was associated with increased risk of periodontitis. MR analyses revealed causal associations between biological age measures and periodontitis risk. Frailty (odds ratio [OR] = 2.08, 95% confidence interval [CI]: 1.04-4.18, p = .039) and GrimAge acceleration (OR = 1.16, 95% CI: 1.01-1.32, p = .033) were causally associated with periodontitis risk, and these results were validated in a large-scale meta-periodontitis GWAS dataset. Additionally, the risk effects of body mass index, waist circumference and lifetime smoking on periodontitis were partially mediated by frailty and GrimAge acceleration. CONCLUSIONS Evidence from cross-sectional survey and MR analysis suggests that biological ageing increases the risk of periodontitis. Additionally, improving the associated risk factors can help prevent both ageing and periodontitis.
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Affiliation(s)
- Zhendong Huang
- State Key Laboratory of Oral & Maxillofacial Reconstruction and Regeneration, Key Laboratory of Oral Biomedicine Ministry of Education, Hubei Key Laboratory of Stomatology, School & Hospital of Stomatology, Wuhan University, Wuhan, China
| | - Simin Peng
- State Key Laboratory of Oral & Maxillofacial Reconstruction and Regeneration, Key Laboratory of Oral Biomedicine Ministry of Education, Hubei Key Laboratory of Stomatology, School & Hospital of Stomatology, Wuhan University, Wuhan, China
| | - Ting Cen
- State Key Laboratory of Oral & Maxillofacial Reconstruction and Regeneration, Key Laboratory of Oral Biomedicine Ministry of Education, Hubei Key Laboratory of Stomatology, School & Hospital of Stomatology, Wuhan University, Wuhan, China
| | - Xiaoxuan Wang
- State Key Laboratory of Oral & Maxillofacial Reconstruction and Regeneration, Key Laboratory of Oral Biomedicine Ministry of Education, Hubei Key Laboratory of Stomatology, School & Hospital of Stomatology, Wuhan University, Wuhan, China
- Department of Periodontology, School & Hospital of Stomatology, Wuhan University, Wuhan, China
| | - Li Ma
- State Key Laboratory of Oral & Maxillofacial Reconstruction and Regeneration, Key Laboratory of Oral Biomedicine Ministry of Education, Hubei Key Laboratory of Stomatology, School & Hospital of Stomatology, Wuhan University, Wuhan, China
- Department of Periodontology, School & Hospital of Stomatology, Wuhan University, Wuhan, China
| | - Zhengguo Cao
- State Key Laboratory of Oral & Maxillofacial Reconstruction and Regeneration, Key Laboratory of Oral Biomedicine Ministry of Education, Hubei Key Laboratory of Stomatology, School & Hospital of Stomatology, Wuhan University, Wuhan, China
- Department of Periodontology, School & Hospital of Stomatology, Wuhan University, Wuhan, China
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32
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Mao R, Li J, Xiao W. Identification of prospective aging drug targets via Mendelian randomization analysis. Aging Cell 2024; 23:e14171. [PMID: 38572516 PMCID: PMC11258487 DOI: 10.1111/acel.14171] [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: 10/17/2023] [Revised: 02/26/2024] [Accepted: 03/13/2024] [Indexed: 04/05/2024] Open
Abstract
Aging represents a multifaceted process culminating in the deterioration of biological functions. Despite the introduction of numerous anti-aging strategies, their therapeutic outcomes have often been less than optimal. Consequently, discovering new targets to mitigate aging effects is of critical importance. We applied Mendelian randomization (MR) to identify potential pharmacological targets against aging, drawing upon summary statistics from both the Decode and FinnGen cohorts, with further validation in an additional cohort. To address potential reverse causality, bidirectional MR analysis with Steiger filtering was utilized. Additionally, Bayesian co-localization and phenotype scanning were implemented to investigate previous associations between genetic variants and traits. Summary-data-based Mendelian randomization (SMR) analysis was conducted to assess the impact of genetic variants on aging via their effects on protein expression. Additionally, mediation analysis was orchestrated to uncover potential intermediaries in these associations. Finally, we probed the systemic implications of drug-target protein expression across diverse indications by MR-PheWas analysis. Utilizing a Bonferroni-corrected threshold, our MR examination identified 10 protein-aging associations. Within this cohort of proteins, MST1, LCT, GMPR2, PSMB4, ECM1, EFEMP1, and ISLR2 appear to exacerbate aging risks, while MAX, B3GNT8, and USP8 may exert protective influences. None of these proteins displayed reverse causality except EFEMP1. Bayesian co-localization inferred shared variants between aging and proteins such as B3GNT8 (rs11670143), ECM1 (rs61819393), and others listed. Mediator analysis pinpointed 1,5-anhydroglucitol as a partial intermediary in the influence LCT exhibits on telomere length. Circulating proteins play a pivotal role in influencing the aging process, making them promising candidates for therapeutic intervention. The implications of these proteins in aging warrant further investigation in future clinical research.
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Affiliation(s)
- Rui Mao
- Department of Dermatology, Xiangya HospitalCentral South UniversityChangshaChina
- Hunan Key Laboratory of Aging Biology, Xiangya HospitalCentral South UniversityChangshaChina
- National Clinical Research Center for Geriatric Disorders, Xiangya HospitalCentral South UniversityChangshaChina
| | - Ji Li
- Department of Dermatology, Xiangya HospitalCentral South UniversityChangshaChina
- Hunan Key Laboratory of Aging Biology, Xiangya HospitalCentral South UniversityChangshaChina
- National Clinical Research Center for Geriatric Disorders, Xiangya HospitalCentral South UniversityChangshaChina
| | - Wenqin Xiao
- Department of Dermatology, Xiangya HospitalCentral South UniversityChangshaChina
- Hunan Key Laboratory of Aging Biology, Xiangya HospitalCentral South UniversityChangshaChina
- National Clinical Research Center for Geriatric Disorders, Xiangya HospitalCentral South UniversityChangshaChina
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33
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Duan H, Shi R, Kang J, Banaschewski T, Bokde ALW, Büchel C, Desrivières S, Flor H, Grigis A, Garavan H, Gowland PA, Heinz A, Brühl R, Martinot JL, Martinot MLP, Artiges E, Nees F, Papadopoulos Orfanos D, Poustka L, Hohmann S, Holz N, Fröhner JH, Smolka MN, Vaidya N, Walter H, Whelan R, Schumann G, Lin X, Feng J. Population clustering of structural brain aging and its association with brain development. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2024:2024.01.09.24301030. [PMID: 38260410 PMCID: PMC10802651 DOI: 10.1101/2024.01.09.24301030] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/24/2024]
Abstract
Structural brain aging has demonstrated strong inter-individual heterogeneity and mirroring patterns with brain development. However, due to the lack of large-scale longitudinal neuroimaging studies, most of the existing research focused on the cross-sectional changes of brain aging. In this investigation, we present a data-driven approach that incorporate both cross-sectional changes and longitudinal trajectories of structural brain aging and identified two brain aging patterns among 37,013 healthy participants from UK Biobank. Participants with accelerated brain aging also demonstrated accelerated biological aging, cognitive decline and increased genetic susceptibilities to major neuropsychiatric disorders. Further, by integrating longitudinal neuroimaging studies from a multi-center adolescent cohort, we validated the "last in, first out" mirroring hypothesis and identified brain regions with manifested mirroring patterns between brain aging and brain development. Genomic analyses revealed risk loci and genes contributing to accelerated brain aging and delayed brain development, providing molecular basis for elucidating the biological mechanisms underlying brain aging and related disorders.
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Affiliation(s)
- Haojing Duan
- Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai, China
- Key Laboratory of Computational Neuroscience and Brain-Inspired Intelligence (Fudan University), Ministry of Education, China
| | - Runye Shi
- School of Data Science, Fudan University, Shanghai, China
| | - Jujiao Kang
- Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai, China
- Key Laboratory of Computational Neuroscience and Brain-Inspired Intelligence (Fudan University), Ministry of Education, China
| | - Tobias Banaschewski
- Department of Child and Adolescent Psychiatry and Psychotherapy, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Square J5, 68159 Mannheim, Germany
| | - Arun L W Bokde
- Discipline of Psychiatry, School of Medicine and Trinity College Institute of Neuroscience, Trinity College Dublin, Dublin, Ireland
| | | | - Sylvane Desrivières
- Social Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - Herta Flor
- Institute of Cognitive and Clinical Neuroscience, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Square J5, Mannheim, Germany
- Department of Psychology, School of Social Sciences, University of Mannheim, 68131 Mannheim, Germany
| | - Antoine Grigis
- NeuroSpin, CEA, Université Paris-Saclay, F-91191 Gif-sur-Yvette, France
| | - Hugh Garavan
- Departments of Psychiatry and Psychology, University of Vermont, 05405 Burlington, Vermont, USA
| | - Penny A Gowland
- Sir Peter Mansfield Imaging Centre School of Physics and Astronomy, University of Nottingham, University Park, Nottingham, United Kingdom
| | - Andreas Heinz
- Department of Psychiatry and Psychotherapy CCM, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Berlin, Germany
| | - Rüdiger Brühl
- Physikalisch-Technische Bundesanstalt (PTB), Braunschweig and Berlin, Germany
| | - Jean-Luc Martinot
- Institut National de la Santé et de la Recherche Médicale, INSERM U1299 "Developmental Trajectories and Psychiatry", Université Paris-Saclay, Ecole Normale supérieure Paris-Saclay, CNRS, Centre Borelli, Gif-sur-Yvette, France
- Psychiatry Department, EPS Barthélémy Durand, Etampes; France
| | - Marie-Laure Paillère Martinot
- Institut National de la Santé et de la Recherche Médicale, INSERM U1299 "Developmental Trajectories and Psychiatry", Université Paris-Saclay, Ecole Normale supérieure Paris-Saclay, CNRS, Centre Borelli, Gif-sur-Yvette, France
- AP-HP. Sorbonne Université, Department of Child and Adolescent Psychiatry, Pitié-Salpêtrière Hospital, Paris, France
| | - Eric Artiges
- Institut National de la Santé et de la Recherche Médicale, INSERM U1299 "Developmental Trajectories and Psychiatry", Université Paris-Saclay, Ecole Normale supérieure Paris-Saclay, CNRS, Centre Borelli, Gif-sur-Yvette, France
- Psychiatry Department, EPS Barthélémy Durand, Etampes; France
| | - Frauke Nees
- Department of Child and Adolescent Psychiatry and Psychotherapy, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Square J5, 68159 Mannheim, Germany
- Institute of Cognitive and Clinical Neuroscience, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Square J5, Mannheim, Germany
- Institute of Medical Psychology and Medical Sociology, University Medical Center Schleswig-Holstein Kiel University, Kiel, Germany
| | | | - Luise Poustka
- Department of Child and Adolescent Psychiatry and Psychotherapy, University Medical Centre Göttingen, von-Siebold-Str. 5, 37075, Göttingen, Germany
| | - Sarah Hohmann
- Department of Child and Adolescent Psychiatry and Psychotherapy, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Square J5, 68159 Mannheim, Germany
| | - Nathalie Holz
- Department of Child and Adolescent Psychiatry and Psychotherapy, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Square J5, 68159 Mannheim, Germany
| | - Juliane H Fröhner
- Department of Psychiatry and Neuroimaging Center, Technische Universität Dresden, Dresden, Germany
| | - Michael N Smolka
- Department of Psychiatry and Neuroimaging Center, Technische Universität Dresden, Dresden, Germany
| | - Nilakshi Vaidya
- Department of Psychiatry and Neurosciences, Charité-Universitätsmedizin Berlin, corporate member of Freie Universität BerlinHumboldt-Universität zu Berlin, and Berlin Institute of Health, Berlin, Germany
| | - Henrik Walter
- Department of Psychiatry and Psychotherapy CCM, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Berlin, Germany
| | - Robert Whelan
- School of Psychology and Global Brain Health Institute, Trinity College Dublin, Ireland
| | - Gunter Schumann
- Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai, China
- Department of Psychiatry and Neurosciences, Charité-Universitätsmedizin Berlin, corporate member of Freie Universität BerlinHumboldt-Universität zu Berlin, and Berlin Institute of Health, Berlin, Germany
- Centre for Population Neuroscience and Stratified Medicine (PONS Centre), ISTBI, Fudan University, Shanghai, China
- Centre for Population Neuroscience and Stratified Medicine (PONS), Department of Psychiatry and Psychotherapy, Charité Universitätsmedizin Berlin, Germany
| | - Xiaolei Lin
- School of Data Science, Fudan University, Shanghai, China
- Huashan Institute of Medicine, Huashan Hospital affiliated to Fudan University, Shanghai, China
| | - Jianfeng Feng
- Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai, China
- Key Laboratory of Computational Neuroscience and Brain-Inspired Intelligence (Fudan University), Ministry of Education, China
- School of Data Science, Fudan University, Shanghai, China
- MOE Frontiers Center for Brain Science, Fudan University, Shanghai, China
- Zhangjiang Fudan International Innovation Center, Shanghai, China
- Department of Computer Science, University of Warwick, Coventry CV4 7AL, UK
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Wang Z, Zuo M, Li W, Chen S, Yuan Y, He Y, Yang Y, Mao Q, Liu Y. The impact of telomere length on the risk of idiopathic normal pressure hydrocephalus: a bidirectional Mendelian randomization study. Sci Rep 2024; 14:14713. [PMID: 38926610 PMCID: PMC11208170 DOI: 10.1038/s41598-024-65725-7] [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: 11/19/2023] [Accepted: 06/24/2024] [Indexed: 06/28/2024] Open
Abstract
Idiopathic normal pressure hydrocephalus (iNPH) affects mainly aged populations. The gradual shortening of telomere length (TL) is one of the hallmarks of aging. Whereas the genetic contribution of TL to the iNPH is incompletely understood. We aimed to investigate the causal relationship between TL and iNPH through the Mendelian randomization (MR) analysis. We respectively obtained 186 qualified single nucleotide polymorphisms (SNPs) of TL and 20 eligible SNPs of iNPH for MR analysis. The result of MR analysis showed that genetically predicted longer TL was significantly associated with a reduced odd of iNPH (odds ratio [OR] = 0.634 95% Confidence interval [CI] 0.447-0.899, p = 0.011). The causal association remained consistent in multivariable MR (OR = 0.530 95% CI 0.327-0.860, p = 0.010). However, there was no evidence that the iNPH was causally associated with the TL (OR = 1.000 95% CI 0.996-1.004, p = 0.955). Our study reveals a potential genetic contribution of TL to the etiology of iNPH, that is a genetically predicted increased TL might be associated with a reduced risk of iNPH.
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Affiliation(s)
- Zhihao Wang
- Department of Neurosurgery, West China Hospital, Sichuan University, No 37 Guoxue Avenue, Chengdu, 610041, Sichuan, China
| | - Mingrong Zuo
- Department of Pediatric Neurosurgery, West China Women's and Children's Hospital: Sichuan University West China Second University Hospital, Chengdu, 610041, China
| | - Wenhao Li
- Department of Neurosurgery, West China Hospital, Sichuan University, No 37 Guoxue Avenue, Chengdu, 610041, Sichuan, China
| | - Siliang Chen
- Department of Neurosurgery, West China Hospital, Sichuan University, No 37 Guoxue Avenue, Chengdu, 610041, Sichuan, China
| | - Yunbo Yuan
- Department of Neurosurgery, West China Hospital, Sichuan University, No 37 Guoxue Avenue, Chengdu, 610041, Sichuan, China
| | - Yuze He
- Department of Neurosurgery, West China Hospital, Sichuan University, No 37 Guoxue Avenue, Chengdu, 610041, Sichuan, China
| | - Yuan Yang
- Department of Neurosurgery, West China Hospital, Sichuan University, No 37 Guoxue Avenue, Chengdu, 610041, Sichuan, China
| | - Qing Mao
- Department of Neurosurgery, West China Hospital, Sichuan University, No 37 Guoxue Avenue, Chengdu, 610041, Sichuan, China
| | - Yanhui Liu
- Department of Neurosurgery, West China Hospital, Sichuan University, No 37 Guoxue Avenue, Chengdu, 610041, Sichuan, China.
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Zhang Z, Zhang J, Zhang K, Ge X, Zhai X. Robust evidence supports a causal link between higher birthweight and longer telomere length: a mendelian randomization study. Front Genet 2024; 15:1264028. [PMID: 38974386 PMCID: PMC11224456 DOI: 10.3389/fgene.2024.1264028] [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: 07/20/2023] [Accepted: 05/17/2024] [Indexed: 07/09/2024] Open
Abstract
Background Observational studies have suggested a potential relationship between birthweight and telomere length. However, the causal link between these two parameters remains undefined. In this study, we use Mendelian Randomization (MR). This method employs genetic variants as instrumental variables, to explore the existence of causal associations and elucidate the causal relationship between birth weight and telomere length. Methods We used 35 single nucleotide polymorphisms (SNPs) as instrumental variables for birth weight. These SNPs were identified from a meta-analysis involving 153,781 individuals. Furthermore, we obtained summary statistics for telomere length from a study conducted on 472,174 United Kingdom Biobank participants. To evaluate the causal estimates, we applied the random effect inverse variance weighted method (IVW) and several other MR methods, such as MR-Egger, weighted median, and MR-PRESSO, to verify the reliability of our findings. Results Our analysis supports a significant causal relationship between genetically predicted birth weight and telomer3e length. The inverse variance weighted analysis results for birth weight (Beta = 0.048; 95%CI = 0.023 to 0.073; p < 0.001) corroborate this association. Conclusion Our study provides robust evidence supporting a causal link between higher birth weight and longer telomere length.
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Affiliation(s)
- Zhuoya Zhang
- Affiliated Hospital of Nanjing University of Chinese Medicine, Nanjing, China
| | - Jiale Zhang
- Institute of Basic Theory for Chinese Medicine, China Academy of Chinese Medical Sciences, Beijing, China
| | - Kaiqi Zhang
- Wangjing Hospital of China Academy of Chinese Medical Sciences, Beijing, China
| | - Xiaolei Ge
- Wangjing Hospital of China Academy of Chinese Medical Sciences, Beijing, China
| | - Xu Zhai
- Wangjing Hospital of China Academy of Chinese Medical Sciences, Beijing, China
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DeBoy EA, Nicosia AM, Liyanarachchi S, Iyer SS, Shah MH, Ringel MD, Brock P, Armanios M. Telomere-lengthening germline variants predispose to a syndromic papillary thyroid cancer subtype. Am J Hum Genet 2024; 111:1114-1124. [PMID: 38688277 PMCID: PMC11179366 DOI: 10.1016/j.ajhg.2024.04.006] [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: 11/26/2023] [Revised: 04/11/2024] [Accepted: 04/11/2024] [Indexed: 05/02/2024] Open
Abstract
Papillary thyroid cancer (PTC) is the most common endocrine malignancy. 10% to 15% of individuals show familial clustering with three or more affected members, but the factors underlying this risk are unknown. In a group of recently studied individuals with POT1 pathogenic variants and ultra-long telomere length, PTC was the second most common solid tumor. We tested whether variants in POT1 and four other telomere-maintenance genes associated with familial cancer underlie PTC susceptibility. Among 470 individuals, we identified pathogenic or likely pathogenic variants in three genes encoding telomere-binding proteins: POT1, TINF2, and ACD. They were found in 4.5% and 1.5% of familial and unselected cases, respectively. Individuals harboring these variants had ultra-long telomere length, and 15 of 18 (83%) developed other cancers, of which melanoma, lymphoma, and sarcoma were most common. Among individuals with PTC and melanoma, 22% carried a deleterious germline variant, suggesting that a long telomere syndrome might be clinically recognizable. Successive generations had longer telomere length than their parents and, at times, developed more cancers at younger ages. Tumor sequencing identified a single oncogenic driver, BRAF p.Val600Glu, in 10 of 10 tumors studied, but no telomere-maintenance mechanism, including at the TERT promoter. These data identify a syndromic subset of PTCs with locus heterogeneity and telomere lengthening as a convergent mechanism. They suggest these germline variants lower the threshold to cancer by obviating the need for an acquired telomere-maintenance mechanism in addition to sustaining the longevity of oncogenic mutations.
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Affiliation(s)
- Emily A DeBoy
- Department of Oncology, Johns Hopkins University School of Medicine, Baltimore, MD, USA; Medical Scientist Training Program, Johns Hopkins University School of Medicine, Baltimore, MD, USA; Telomere Center at Johns Hopkins, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Anna M Nicosia
- Department of Oncology, Johns Hopkins University School of Medicine, Baltimore, MD, USA; Telomere Center at Johns Hopkins, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | | | - Sheila S Iyer
- Department of Oncology, Johns Hopkins University School of Medicine, Baltimore, MD, USA; Telomere Center at Johns Hopkins, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Manisha H Shah
- Department of Internal Medicine, Columbus, OH, USA; The Ohio State University Comprehensive Cancer Center, The Ohio State University, Columbus, OH, USA
| | - Matthew D Ringel
- Department of Molecular Medicine and Therapeutics, Columbus, OH, USA; Department of Internal Medicine, Columbus, OH, USA; The Ohio State University Comprehensive Cancer Center, The Ohio State University, Columbus, OH, USA
| | - Pamela Brock
- Department of Internal Medicine, Columbus, OH, USA; The Ohio State University Comprehensive Cancer Center, The Ohio State University, Columbus, OH, USA
| | - Mary Armanios
- Department of Oncology, Johns Hopkins University School of Medicine, Baltimore, MD, USA; Department of Pathology, Johns Hopkins University School of Medicine, Baltimore, MD, USA; Department of Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA; Telomere Center at Johns Hopkins, Johns Hopkins University School of Medicine, Baltimore, MD, USA; Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
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Skåra KH, Lee Y, Jugessur A, Gjessing HK, Aviv A, Brumpton B, Naess Ø, Hernáez Á, Hanevik HI, Magnus P, Magnus MC. Telomere length in relation to fecundability and use of assisted reproductive technologies: the Norwegian Mother, Father, and Child Cohort Study. RESEARCH SQUARE 2024:rs.3.rs-4430021. [PMID: 38883734 PMCID: PMC11177952 DOI: 10.21203/rs.3.rs-4430021/v1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/18/2024]
Abstract
In women, shorter telomeres have been reported to be associated with conditions such as endometriosis and polycystic ovary syndrome, whereas other studies have reported the opposite. In men, studies mostly report associations between shorter telomeres and sperm quality. To our knowledge, no studies have thus far investigated the associations between TL and fecundability or the use of ART. This study is based on the Norwegian Mother, Father, and Child Cohort (MoBa) Study and uses data from the Medical Birth Registry of Norway (MBRN). We included women (24,645 with genotype data and 1,054 with TL measurements) and men (18,339 with genotype data and 965 with TL measurements) participating between 1998 and 2008. We investigated the associations between leukocyte TL and fecundability, infertility, and the use of ART. We also repeated the analyses using instrumental variables for TL, including genetic risk scores for TL and genetically predicted TL. Approximately 11% of couples had experienced infertility and 4% had used ART. TL was not associated with fecundability among women (fecundability ratio [FR], 0.98; 95% confidence interval [CI], 0.92-1.04) or men (FR, 0.99; CI, 0.93-1.06), nor with infertility among women (odds ratio [OR], 1.03; CI, 0.85-1.24) or men (OR, 1.05; CI, 0.87-1.28). We observed an increased likelihood of using ART with increasing TL among men (OR, 1.22; CI, 1.03-1.46), but not among women (OR, 1.10; CI, 0.92-1.31). No significant associations were observed using the instrumental variables. Our results indicate that TL is a poor biomarker of fecundability, infertility and use of ART in MoBa. Additional studies are required to replicate the association observed between TL and ART in men.
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Affiliation(s)
| | | | | | | | | | - Ben Brumpton
- K.G. Jebsen Centre for Genetic Epidemiology, NTNU - Norwegian University of Science and Technology
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Deecke L, Ohlei O, Homann J, Stagge J, Dobricic V, Steinhagen-Thiessen E, Berger K, Demuth I, Hagelstein V, Bertram L, Lill CM. Variants in the TERT Gene Increase the Occurrence of Solar Lentigines by Modifying Telomerase Expression Exclusively in the Skin. J Invest Dermatol 2024; 144:1412-1415.e7. [PMID: 38029837 DOI: 10.1016/j.jid.2023.10.034] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/26/2023] [Revised: 09/12/2023] [Accepted: 10/04/2023] [Indexed: 12/01/2023]
Affiliation(s)
- Laura Deecke
- Institute of Epidemiology and Social Medicine, University of Münster, Münster, Germany
| | - Olena Ohlei
- Lübeck Interdisciplinary Platform for Genome Analytics (LIGA), University of Lübeck, Lübeck, Germany
| | - Jan Homann
- Institute of Epidemiology and Social Medicine, University of Münster, Münster, Germany
| | - Jessica Stagge
- Lübeck Interdisciplinary Platform for Genome Analytics (LIGA), University of Lübeck, Lübeck, Germany; Department of Ophthalmology, University of Lübeck, Lübeck, Germany
| | - Valerija Dobricic
- Lübeck Interdisciplinary Platform for Genome Analytics (LIGA), University of Lübeck, Lübeck, Germany
| | - Elisabeth Steinhagen-Thiessen
- Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Department of Endocrinology and Metabolic Diseases (including Division of Lipid Metabolism), Berlin, Germany
| | - Klaus Berger
- Institute of Epidemiology and Social Medicine, University of Münster, Münster, Germany
| | - Ilja Demuth
- Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Department of Endocrinology and Metabolic Diseases (including Division of Lipid Metabolism), Berlin, Germany; Berlin Institute of Health at Charité - Universitätsmedizin Berlin, BCRT - Berlin Institute of Health Center for Regenerative Therapies, Berlin, Germany
| | | | - Lars Bertram
- Lübeck Interdisciplinary Platform for Genome Analytics (LIGA), University of Lübeck, Lübeck, Germany
| | - Christina M Lill
- Institute of Epidemiology and Social Medicine, University of Münster, Münster, Germany; Ageing Epidemiology Research Unit, School of Public Health, Imperial College, London, United Kingdom.
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Misicka E, Huang Y, Loomis S, Sadhu N, Fisher E, Gafson A, Runz H, Tsai E, Jia X, Herman A, Bronson PG, Bhangale T, Briggs FB. Adaptive and Innate Immunity Are Key Drivers of Age at Onset of Multiple Sclerosis. Neurol Genet 2024; 10:e200159. [PMID: 38817245 PMCID: PMC11139017 DOI: 10.1212/nxg.0000000000200159] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/04/2023] [Accepted: 04/16/2024] [Indexed: 06/01/2024]
Abstract
Background and Objectives Multiple sclerosis (MS) age at onset (AAO) is a clinical predictor of long-term disease outcomes, independent of disease duration. Little is known about the genetic and biological mechanisms underlying age of first symptoms. We conducted a genome-wide association study (GWAS) to investigate associations between individual genetic variation and the MS AAO phenotype. Methods The study population was comprised participants with MS in 6 clinical trials: ADVANCE (N = 655; relapsing-remitting [RR] MS), ASCEND (N = 555; secondary-progressive [SP] MS), DECIDE (N = 1,017; RRMS), OPERA1 (N = 581; RRMS), OPERA2 (N = 577; RRMS), and ORATORIO (N = 529; primary-progressive [PP] MS). Altogether, 3,905 persons with MS of European ancestry were analyzed. GWAS were conducted for MS AAO in each trial using linear additive models controlling for sex and 10 principal components. Resultant summary statistics across the 6 trials were then meta-analyzed, for a total of 8.3 × 10-6 single nucleotide polymorphisms (SNPs) across all trials after quality control and filtering for heterogeneity. Gene-based tests of associations, pathway enrichment analyses, and Mendelian randomization analyses for select exposures were also performed. Results Four lead SNPs within 2 loci were identified (p < 5 × 10-8), including a) 3 SNPs in the major histocompatibility complex and their effects were independent of HLA-DRB1*15:01 and b) a LOC105375167 variant on chromosome 7. At the gene level, the top association was HLA-C (p = 1.2 × 10-7), which plays an important role in antiviral immunity. Functional annotation revealed the enrichment of pathways related to T-cell receptor signaling, autoimmunity, and the complement cascade. Mendelian randomization analyses suggested a link between both earlier age at puberty and shorter telomere length and earlier AAO, while there was no evidence for a role for either body mass index or vitamin D levels. Discussion Two genetic loci associated with MS AAO were identified, and functional annotation demonstrated an enrichment of genes involved in adaptive and complement immunity. There was also evidence supporting a link with age at puberty and telomere length. The findings suggest that AAO in MS is multifactorial, and the factors driving onset of symptoms overlap with those influencing MS risk.
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Affiliation(s)
- Elina Misicka
- From the Department of Population and Quantitative Health Sciences (E.M.), Case Western Reserve University, Cleveland, OH; Biogen (Y.H., S.L., N.S., E.F., A.G., H.R., E.T., P.G.B.), Cambridge, MA; Human Genetics and Bioinformatics (X.J., A.H., T.B.), Genentech, San Francisco, CA; and Department of Public Health Sciences (F.B.B.), University of Miami, FL
| | - Yunfeng Huang
- From the Department of Population and Quantitative Health Sciences (E.M.), Case Western Reserve University, Cleveland, OH; Biogen (Y.H., S.L., N.S., E.F., A.G., H.R., E.T., P.G.B.), Cambridge, MA; Human Genetics and Bioinformatics (X.J., A.H., T.B.), Genentech, San Francisco, CA; and Department of Public Health Sciences (F.B.B.), University of Miami, FL
| | - Stephanie Loomis
- From the Department of Population and Quantitative Health Sciences (E.M.), Case Western Reserve University, Cleveland, OH; Biogen (Y.H., S.L., N.S., E.F., A.G., H.R., E.T., P.G.B.), Cambridge, MA; Human Genetics and Bioinformatics (X.J., A.H., T.B.), Genentech, San Francisco, CA; and Department of Public Health Sciences (F.B.B.), University of Miami, FL
| | - Nilanjana Sadhu
- From the Department of Population and Quantitative Health Sciences (E.M.), Case Western Reserve University, Cleveland, OH; Biogen (Y.H., S.L., N.S., E.F., A.G., H.R., E.T., P.G.B.), Cambridge, MA; Human Genetics and Bioinformatics (X.J., A.H., T.B.), Genentech, San Francisco, CA; and Department of Public Health Sciences (F.B.B.), University of Miami, FL
| | - Elizabeth Fisher
- From the Department of Population and Quantitative Health Sciences (E.M.), Case Western Reserve University, Cleveland, OH; Biogen (Y.H., S.L., N.S., E.F., A.G., H.R., E.T., P.G.B.), Cambridge, MA; Human Genetics and Bioinformatics (X.J., A.H., T.B.), Genentech, San Francisco, CA; and Department of Public Health Sciences (F.B.B.), University of Miami, FL
| | - Arie Gafson
- From the Department of Population and Quantitative Health Sciences (E.M.), Case Western Reserve University, Cleveland, OH; Biogen (Y.H., S.L., N.S., E.F., A.G., H.R., E.T., P.G.B.), Cambridge, MA; Human Genetics and Bioinformatics (X.J., A.H., T.B.), Genentech, San Francisco, CA; and Department of Public Health Sciences (F.B.B.), University of Miami, FL
| | - Heiko Runz
- From the Department of Population and Quantitative Health Sciences (E.M.), Case Western Reserve University, Cleveland, OH; Biogen (Y.H., S.L., N.S., E.F., A.G., H.R., E.T., P.G.B.), Cambridge, MA; Human Genetics and Bioinformatics (X.J., A.H., T.B.), Genentech, San Francisco, CA; and Department of Public Health Sciences (F.B.B.), University of Miami, FL
| | - Ellen Tsai
- From the Department of Population and Quantitative Health Sciences (E.M.), Case Western Reserve University, Cleveland, OH; Biogen (Y.H., S.L., N.S., E.F., A.G., H.R., E.T., P.G.B.), Cambridge, MA; Human Genetics and Bioinformatics (X.J., A.H., T.B.), Genentech, San Francisco, CA; and Department of Public Health Sciences (F.B.B.), University of Miami, FL
| | - Xiaoming Jia
- From the Department of Population and Quantitative Health Sciences (E.M.), Case Western Reserve University, Cleveland, OH; Biogen (Y.H., S.L., N.S., E.F., A.G., H.R., E.T., P.G.B.), Cambridge, MA; Human Genetics and Bioinformatics (X.J., A.H., T.B.), Genentech, San Francisco, CA; and Department of Public Health Sciences (F.B.B.), University of Miami, FL
| | - Ann Herman
- From the Department of Population and Quantitative Health Sciences (E.M.), Case Western Reserve University, Cleveland, OH; Biogen (Y.H., S.L., N.S., E.F., A.G., H.R., E.T., P.G.B.), Cambridge, MA; Human Genetics and Bioinformatics (X.J., A.H., T.B.), Genentech, San Francisco, CA; and Department of Public Health Sciences (F.B.B.), University of Miami, FL
| | - Paola G Bronson
- From the Department of Population and Quantitative Health Sciences (E.M.), Case Western Reserve University, Cleveland, OH; Biogen (Y.H., S.L., N.S., E.F., A.G., H.R., E.T., P.G.B.), Cambridge, MA; Human Genetics and Bioinformatics (X.J., A.H., T.B.), Genentech, San Francisco, CA; and Department of Public Health Sciences (F.B.B.), University of Miami, FL
| | - Tushar Bhangale
- From the Department of Population and Quantitative Health Sciences (E.M.), Case Western Reserve University, Cleveland, OH; Biogen (Y.H., S.L., N.S., E.F., A.G., H.R., E.T., P.G.B.), Cambridge, MA; Human Genetics and Bioinformatics (X.J., A.H., T.B.), Genentech, San Francisco, CA; and Department of Public Health Sciences (F.B.B.), University of Miami, FL
| | - Farren B Briggs
- From the Department of Population and Quantitative Health Sciences (E.M.), Case Western Reserve University, Cleveland, OH; Biogen (Y.H., S.L., N.S., E.F., A.G., H.R., E.T., P.G.B.), Cambridge, MA; Human Genetics and Bioinformatics (X.J., A.H., T.B.), Genentech, San Francisco, CA; and Department of Public Health Sciences (F.B.B.), University of Miami, FL
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Liu M, Fu X, Yu D, Li M, Pan Y, Yang C, Sun G. Mapping the causal associations of cytokines with sarcopenia and aging traits: Evidence from bidirectional Mendelian randomization. J Cachexia Sarcopenia Muscle 2024; 15:1121-1133. [PMID: 38556722 PMCID: PMC11154762 DOI: 10.1002/jcsm.13456] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/19/2023] [Revised: 01/24/2024] [Accepted: 02/16/2024] [Indexed: 04/02/2024] Open
Abstract
BACKGROUND Cytokines and growth factors may serve as a bridge in studying the causal relationships between inflammaging and sarcopenia due to their roles in inflammaging. In this study, we aim to explore the causal association of cytokines with sarcopenia and aging traits and further identify the significant inflammation factors. METHODS Bidirectional Mendelian randomization (MR) analysis was used to identify the causality. Forty-one kinds of circulation cytokines and growth factors were set as exposures, and the data were from a summary genome-wide association study (GWAS) containing three cohorts with 8293 healthy participants of European ancestry from 1983 to 2011. Hand grip strength, adjusted appendicular lean mass (AALM), usual walking pace, moderate-to-vigorous physical activity (MVPA) levels, able to walk or cycle unaided for 10 min (AWCU10) and telomere length were selected as outcomes. Data for outcomes were obtained from meta-GWAS and the UK Biobank, and sample sizes ranged from 69 537 to 472 174. Low hand grip strength was defined by the European Working Group on Sarcopenia in Older People (EWGSOP) and Foundation for the National Institutes of Health (FNIH) cut-off points, respectively. Other outcome traits were defined and measured according to the UK Biobank and raw cohorts' criteria. We set two significance thresholds for single nucleotide polymorphisms (SNPs) associated with exposures to obtain adequate SNPs (5 × 10-6 and 5 × 10-8). Inverse-variance weighted, MR-Egger and weighted median were employed to estimate the causality. RESULTS Twenty-seven factors were identified to relate to sarcopenia and aging traits causally, and most were associated with only one outcome trait. IL16 (interleukin-16), CTACK (cutaneous T-cell attracting chemokine), MIP1b (macrophage inflammatory protein 1b) and PDGFbb (platelet-derived growth factor BB) were proven to relate causally to at least one sarcopenia and aging trait in both analyses with two significance thresholds. IL16 was causally associated with hand grip strength (0.977 [0.956-0.998] for EWGSOP and 0.933 [0.874-0.996] for FNIH), AALM (0.991 [0.984, 0.998]), MVPA (0.997 [0.995-1.000]) and AWCU10 (1.008 [1.003-1.013]). CTACK was proven to relate causally to hand grip strength (1.013 [1.007-1.019] for EWGSOP and 1.090 [1.041-1.142] for FNIH), AWCU10 (0.990 [0.986-0.994]) and telomere length (0.998 [0.983-0.994]). The results indicated that MIP1b has a causal effect on hand grip strength (1.032 [1.001-1.063] for EWGSOP), AWCU10 (0.994 [0.988-1.000] and 0.993 [0.988-0.998]) and telomere length (1.006 [1.000-1.012]). PDGFbb may causally relate to AALM (1.016 [1.001-1.030]) and telomere length (1.011 [1.007-1.015]). Reserve MR analyses also proved their unidirectional causal effects. CONCLUSIONS Twenty-seven factors were causally related to sarcopenia and aging traits, and the causal effects of IL16, CTACK, MIP1b and PDGFbb were proven in both analyses with two significance thresholds.
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Affiliation(s)
- Mingchong Liu
- Department of Traumatic Surgery, Shanghai East Hospital, School of MedicineTongji UniversityShanghaiChina
| | - Xiao Fu
- Department of Traumatic Surgery, Shanghai East Hospital, School of MedicineTongji UniversityShanghaiChina
| | - Daqian Yu
- Department of Traumatic Surgery, Shanghai East Hospital, School of MedicineTongji UniversityShanghaiChina
| | - Meng Li
- Department of Traumatic Surgery, Shanghai East Hospital, School of MedicineTongji UniversityShanghaiChina
| | - Yutao Pan
- Department of Traumatic Surgery, Shanghai East Hospital, School of MedicineTongji UniversityShanghaiChina
| | - Chensong Yang
- Department of Traumatic Surgery, Shanghai East Hospital, School of MedicineTongji UniversityShanghaiChina
| | - Guixin Sun
- Department of Traumatic Surgery, Shanghai East Hospital, School of MedicineTongji UniversityShanghaiChina
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Wang D, Hadad N, Moss S, Lopez-Jimenez E, Johnson SR, Maher TM, Molyneaux PL, Zhao Y, Perry JRB, Wolters PJ, Kropski JA, Jenkins RG, Banovich NE, Stewart I. Association between mosaic loss of chromosome Y and pulmonary fibrosis susceptibility and severity. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.05.25.595885. [PMID: 38853935 PMCID: PMC11160640 DOI: 10.1101/2024.05.25.595885] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/11/2024]
Abstract
Background Pulmonary fibrosis (PF) is a rare lung disease with diverse pathogenesis and multiple interconnected underlying biological mechanisms. Mosaic loss of chromosome Y (mLOY) is one of the most common forms of acquired chromosome abnormality in men, which has been reported to be associated with increased risk of various chronic progressive diseases including fibrotic diseases. However, the exact role of mLOY in the development of PF remains elusive and to be elucidated. Methods We adopted three complementary approaches to explore the role of mLOY in the pathogenesis of PF. We used copy number on chromosome Y to estimate mLOY comparing patients in PROFILE and gnomAD cohorts and between cases and control patients from the GE100KGP cohort. Correlation of mLOY with demographic and clinical variables was tested using patients from PROFILE cohort. Lung single-cell transcriptomic data were analysed to assess the cell types implicated in mLOY. We performed Mendelian randomisation to examine the causal relationship between mLOY, IPF, and telomere length. Results The genetic analysis suggests that mLOY is found in PF from both case cohorts but when compared with an age matched population the effect is minimal (P = 0.0032). mLOY is related to age (P = 0.00021) and shorter telomere length (P = 0.0081) rather than PF severity or progression. Single-cell analysis indicates that mLOY appears to be found primarily in immune cells and appears to be related to presence and severity of fibrosis. Mendelian randomisation demonstrates that mLOY is not on the causal pathway for IPF, but partial evidence supports that telomere shortening is on the causal pathway for mLOY. Conclusion Our study confirms the existence of mLOY in PF patients and suggests that mLOY is not a major driver of IPF. The combined evidence suggests a triangulation model where telomere shortening leads to both IPF and mLOY.
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Keener R, Chhetri SB, Connelly CJ, Taub MA, Conomos MP, Weinstock J, Ni B, Strober B, Aslibekyan S, Auer PL, Barwick L, Becker LC, Blangero J, Bleecker ER, Brody JA, Cade BE, Celedon JC, Chang YC, Cupples LA, Custer B, Freedman BI, Gladwin MT, Heckbert SR, Hou L, Irvin MR, Isasi CR, Johnsen JM, Kenny EE, Kooperberg C, Minster RL, Naseri T, Viali S, Nekhai S, Pankratz N, Peyser PA, Taylor KD, Telen MJ, Wu B, Yanek LR, Yang IV, Albert C, Arnett DK, Ashley-Koch AE, Barnes KC, Bis JC, Blackwell TW, Boerwinkle E, Burchard EG, Carson AP, Chen Z, Chen YDI, Darbar D, de Andrade M, Ellinor PT, Fornage M, Gelb BD, Gilliland FD, He J, Islam T, Kaab S, Kardia SLR, Kelly S, Konkle BA, Kumar R, Loos RJF, Martinez FD, McGarvey ST, Meyers DA, Mitchell BD, Montgomery CG, North KE, Palmer ND, Peralta JM, Raby BA, Redline S, Rich SS, Roden D, Rotter JI, Ruczinski I, Schwartz D, Sciurba F, Shoemaker MB, Silverman EK, Sinner MF, Smith NL, Smith AV, Tiwari HK, Vasan RS, Weiss ST, Williams LK, Zhang Y, Ziv E, Raffield LM, Reiner AP, Arvanitis M, Greider CW, Mathias RA, Battle A. Validation of human telomere length multi-ancestry meta-analysis association signals identifies POP5 and KBTBD6 as human telomere length regulation genes. Nat Commun 2024; 15:4417. [PMID: 38789417 PMCID: PMC11126610 DOI: 10.1038/s41467-024-48394-y] [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: 07/13/2023] [Accepted: 04/26/2024] [Indexed: 05/26/2024] Open
Abstract
Genome-wide association studies (GWAS) have become well-powered to detect loci associated with telomere length. However, no prior work has validated genes nominated by GWAS to examine their role in telomere length regulation. We conducted a multi-ancestry meta-analysis of 211,369 individuals and identified five novel association signals. Enrichment analyses of chromatin state and cell-type heritability suggested that blood/immune cells are the most relevant cell type to examine telomere length association signals. We validated specific GWAS associations by overexpressing KBTBD6 or POP5 and demonstrated that both lengthened telomeres. CRISPR/Cas9 deletion of the predicted causal regions in K562 blood cells reduced expression of these genes, demonstrating that these loci are related to transcriptional regulation of KBTBD6 and POP5. Our results demonstrate the utility of telomere length GWAS in the identification of telomere length regulation mechanisms and validate KBTBD6 and POP5 as genes affecting telomere length regulation.
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Grants
- 5K12GM123914 U.S. Department of Health & Human Services | NIH | National Institute of General Medical Sciences (NIGMS)
- R01AG069120 U.S. Department of Health & Human Services | NIH | National Institute of General Medical Sciences (NIGMS)
- R01 HL105756 NHLBI NIH HHS
- R35GM139580 U.S. Department of Health & Human Services | NIH | National Institute of General Medical Sciences (NIGMS)
- R01 AI132476 NIAID NIH HHS
- R01 DK071891 NIDDK NIH HHS
- R01HL153805 U.S. Department of Health & Human Services | NIH | National Institute of General Medical Sciences (NIGMS)
- R01AG081244 U.S. Department of Health & Human Services | NIH | National Institute of General Medical Sciences (NIGMS)
- R35CA209974 U.S. Department of Health & Human Services | NIH | National Institute of General Medical Sciences (NIGMS)
- R01HL105756 U.S. Department of Health & Human Services | NIH | National Heart, Lung, and Blood Institute (NHLBI)
- R01HL68959 U.S. Department of Health & Human Services | NIH | National Heart, Lung, and Blood Institute (NHLBI)
- R01HL079915 U.S. Department of Health & Human Services | NIH | National Heart, Lung, and Blood Institute (NHLBI)
- R01HL87681 U.S. Department of Health & Human Services | NIH | National Heart, Lung, and Blood Institute (NHLBI)
- R01 HL153805 NHLBI NIH HHS
- R01HL-120393 U.S. Department of Health & Human Services | NIH | National Institute of General Medical Sciences (NIGMS)
- U.S. Department of Health & Human Services | NIH | National Institute of General Medical Sciences (NIGMS)
- U.S. Department of Health & Human Services | NIH | National Heart, Lung, and Blood Institute (NHLBI)
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Affiliation(s)
- Rebecca Keener
- Department of Biomedical Engineering, Johns Hopkins University, Baltimore, MD, USA
| | - Surya B Chhetri
- Department of Biomedical Engineering, Johns Hopkins University, Baltimore, MD, USA
| | - Carla J Connelly
- Department of Molecular Biology and Genetics, Johns Hopkins University, Baltimore, MD, USA
| | - Margaret A Taub
- Department of Biostatistics, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Matthew P Conomos
- Department of Biostatistics, School of Public Health, University of Washington, Seattle, WA, USA
| | - Joshua Weinstock
- Department of Biomedical Engineering, Johns Hopkins University, Baltimore, MD, USA
| | - Bohan Ni
- Department of Computer Science, Johns Hopkins University, Baltimore, MD, USA
| | - Benjamin Strober
- Department of Epidemiology, Harvard School of Public Health, Boston, MA, USA
| | | | - Paul L Auer
- Division of Biostatistics, Institute for Health & Equity, and Cancer Center, Medical College of Wisconsin, Milwaukee, WI, USA
| | - Lucas Barwick
- LTRC Data Coordinating Center, The Emmes Company, LLC, Rockville, MD, USA
| | - Lewis C Becker
- GeneSTAR Research Program, Department of Medicine, Johns Hopkins School of Medicine, Baltimore, MD, 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
| | - Eugene R Bleecker
- Department of Medicine, Division of Genetics, Genomics and Precision Medicine, University of Arizona, Tucson, AZ, USA
- Division of Pharmacogenomics, University of Arizona, Tucson, AZ, USA
| | - Jennifer A Brody
- Cardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle, WA, USA
| | - Brian E Cade
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital, Boston, MA, USA
- Division of Sleep Medicine, Harvard Medical School, Boston, MA, USA
| | - Juan C Celedon
- Division of Pediatric Pulmonary Medicine, University of Pittsburgh, Pittsburgh, PA, USA
| | - Yi-Cheng Chang
- Department of Internal Medicine, National Taiwan University, Taipei, Taiwan
- Graduate Institute of Medical Genomics and Proteomics, National Taiwan University, Taipei, Taiwan
- Institute of Biomedical Sciences, Academia Sinica, Taipei, Taiwan
| | - L Adrienne Cupples
- Department of Biostatistics, Boston University School of Public Health, Boston, MA, USA
- The National Heart, Lung, and Blood Institute, Boston University's Framingham Heart Study, Framingham, MA, USA
| | - Brian Custer
- Vitalant Research Institute, San Francisco, CA, USA
- Department of Laboratory Medicine, University of California San Francisco, San Francisco, CA, USA
| | - Barry I Freedman
- Internal Medicine - Nephrology, Wake Forest University School of Medicine, Winston-Salem, NC, USA
| | - Mark T Gladwin
- School of Medicine, University of Maryland, Baltimore, MD, USA
| | - Susan R Heckbert
- Department of Epidemiology, University of Washington, Seattle, WA, USA
| | - Lifang Hou
- Department of Preventive Medicine, Feinberg School of Medicine, Northwestern University, Evanston, IL, USA
| | - Marguerite R Irvin
- Department of Epidemiology, University of Alabama Birmingham, Birmingham, AL, USA
| | - Carmen R Isasi
- Department of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, NY, USA
| | - Jill M Johnsen
- Department of Medicine and Institute for Stem Cell & Regenerative Medicine, University of Washington, Seattle, WA, USA
| | - Eimear E Kenny
- The Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Center for Genomic Health, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Charles Kooperberg
- Division of Public Health Sciences, Fred Hutchinson Cancer Center, Seattle, WA, USA
| | - Ryan L Minster
- Department of Human Genetics, University of Pittsburgh Graduate School of Public Health, Pittsburgh, PA, USA
| | - Take Naseri
- Naseri & Associates Public Health Consultancy Firm and Family Health Clinic, Apia, Samoa
- International Health Institute, School of Public Health, Brown University, Providence, RI, USA
| | - Satupa'itea Viali
- Oceania University of Medicine, Apia, Samoa
- School of Medicine, National University of Samoa, Apia, Samoa
- Department of Chronic Disease Epidemiology, Yale University School of Public Health, New Haven, CT, USA
| | - Sergei Nekhai
- Center for Sickle Cell Disease and Department of Medicine, College of Medicine, Howard University, Washington DC, USA
| | - Nathan Pankratz
- Department of Laboratory Medicine and Pathology, University of Minnesota, Minneapolis, MN, USA
| | - Patricia A Peyser
- Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, MI, USA
| | - Kent D Taylor
- 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
| | - Marilyn J Telen
- Department of Medicine, Duke University Medical Center, Durham, NC, USA
| | - Baojun Wu
- Center for Individualized and Genomic Medicine Research (CIGMA), Department of Internal Medicine, Henry Ford Health System, Detroit, MI, USA
| | - Lisa R Yanek
- Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Ivana V Yang
- Departments of Biomedical Informatics, Medicine, and Epidemiology, University of Colorado, Boulder, CO, USA
| | - Christine Albert
- Harvard Medical School, Boston, MA, USA
- Division of Cardiovascular, Brigham and Women's Hospital, Boston, MA, USA
| | - Donna K Arnett
- Department of Epidemiology and Biostatistics, University of South Carolina, Columbia, SC, USA
| | | | - Kathleen C Barnes
- Department of Medicine, University of Colorado Denver, Anschutz Medical Campus, Aurora, CO, USA
| | - Joshua C Bis
- Cardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle, WA, USA
| | - Thomas W Blackwell
- Department of Biostatistics, University of Michigan School of Public Health, Ann Arbor, MI, USA
- Center for Statistical Genetics, University of Michigan School of Public Health, Ann Arbor, MI, USA
| | - Eric Boerwinkle
- Human Genetics Center, Department of Epidemiology, Human Genetics, and Environmental Sciences, School of Public Health, University of Texas Health Science Center at Houston, Houston, TX, USA
| | - Esteban G Burchard
- Department of Medicine, University of California San Francisco, San Francisco, CA, USA
- Department of Bioengineering and Therapeutic Sciences, University of California San Francisco, San Francisco, CA, USA
| | - April P Carson
- Department of Medicine, University of Mississippi Medical Center, Jackson, MI, USA
| | - Zhanghua Chen
- Department of Population and Public Health Sciences, University of Southern California, Los Angeles, CA, 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
| | - Dawood Darbar
- Division of Cardiology, University of Illinois at Chicago, Chicago, IL, USA
| | - Mariza de Andrade
- Division of Biomedical Statistics and Informatics, Mayo Clinic, Rochester, MN, USA
| | - Patrick T Ellinor
- Cardiovascular Disease Initiative, The Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Myriam Fornage
- Institute of Molecular Medicine, McGovern Medical School, the University of Texas Health Science Center at Houston, Houston, TX, USA
| | - Bruce D Gelb
- Mindich Child Health and Development Institute and Departments of Pediatrics and Genetics and Genomic Sciences, Icahn School of Medicine, New York, NY, USA
| | - Frank D Gilliland
- Department of Population and Public Health Sciences, University of Southern California, Los Angeles, CA, USA
| | - Jiang He
- Department of Medicine, Tulane University School of Medicine, New Orleans, LA, USA
| | - Talat Islam
- Department of Population and Public Health Sciences, University of Southern California, Los Angeles, CA, USA
| | - Stefan Kaab
- Department of Cardiology, University Hospital, LMU Munich, Munich, Germany
| | - Sharon L R Kardia
- Department of Epidemiology, University of Michigan School of Public Health, Ann Arbor, MI, USA
| | - Shannon Kelly
- Vitalant Research Institute, San Francisco, CA, USA
- University of California San Francisco Benioff Children's Hospital, Oakland, CA, USA
| | - Barbara A Konkle
- Department of Medicine, University of Washington, Seattle, WA, USA
| | - Rajesh Kumar
- Northwestern University Feinberg School of Medicine, Chicago, IL, USA
- The Ann and Robert H. Lurie Children's Hospital of Chicago, Chicago, IL, USA
| | - Ruth J F Loos
- The Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Fernando D Martinez
- Asthma & Airway Disease Research Center, University of Arizona, Tucson, AZ, USA
| | - Stephen T McGarvey
- Department of Epidemiology & International Health Institute, Brown University School of Public Health, Providence, RI, USA
| | - Deborah A Meyers
- Department of Medicine, Division of Genetics, Genomics and Precision Medicine, University of Arizona, Tucson, AZ, USA
- Division of Pharmacogenomics, University of Arizona, Tucson, AZ, USA
| | - Braxton D Mitchell
- Department of Medicine, University of Maryland School of Medicine, Baltimore, MD, USA
| | - Courtney G Montgomery
- Genes and Human Disease, Oklahoma Medical Research Foundation, Oklahoma City, OK, USA
| | - Kari E North
- Department of Epidemiology, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Nicholette D Palmer
- Department of Biochemistry, Wake Forest University School of Medicine, Winston-Salem, NC, 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
| | - Benjamin A Raby
- Division of Pulmonary and Critical Care, Brigham and Women's Hospital, Boston, MA, USA
- Division of Pulmonary Medicine, Boston Children's Hospital, Boston, MA, USA
| | - Susan Redline
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital, Boston, MA, USA
- Division of Sleep Medicine, Harvard Medical School, Boston, MA, USA
| | - Stephen S Rich
- Center for Public Health Genomics, Department of Public Health Sciences, University of Virginia, Charlottesville, VA, USA
| | - Dan Roden
- Department of Medicine, Vanderbilt University School of Medicine, Nashville, TN, USA
| | - 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
| | - Ingo Ruczinski
- Department of Biostatistics, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - David Schwartz
- Departments of Medicine and Immunology, University of Colorado, Boulder, CO, USA
| | - Frank Sciurba
- Division of Pulmonary, Allergy and Critical Care Medicine, University of Pittsburgh, Pittsburgh, PA, USA
| | - M Benjamin Shoemaker
- Departments of Medicine, Pharmacology, and Biomedical Informatics, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Edwin K Silverman
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital, Boston, MA, USA
| | - Moritz F Sinner
- Department of Cardiology, University Hospital, LMU Munich, Munich, Germany
| | - Nicholas L Smith
- Department of Medicine, Tulane University School of Medicine, New Orleans, LA, USA
| | - Albert V Smith
- Department of Biostatistics, University of Michigan, Ann Arbor, MI, USA
| | - Hemant K Tiwari
- Department of Biostatistics, University of Alabama Birmingham, Birmingham, AL, USA
| | | | - Scott T Weiss
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital, Boston, MA, USA
- Harvard Medical School, Boston, MA, USA
| | - L Keoki Williams
- Center for Individualized and Genomic Medicine Research (CIGMA), Department of Internal Medicine, Henry Ford Health System, Detroit, MI, USA
| | - Yingze Zhang
- Division of Pulmonary Allergy and Critical Care Medicine, University of Pittsburgh, Pittsburgh, PA, USA
| | - Elad Ziv
- Department of Medicine, University of California San Francisco, San Francisco, CA, USA
| | - Laura M Raffield
- Department of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Alexander P Reiner
- Division of Public Health Sciences, Fred Hutchinson Cancer Center, Seattle, WA, USA
| | - Marios Arvanitis
- Department of Medicine, Division of Cardiology, Johns Hopkins University, Baltimore, MD, USA
| | - Carol W Greider
- Department of Molecular Cell and Developmental Biology, University of California Santa Cruz, Santa Cruz, CA, USA
- University Professor Johns Hopkins University, Baltimore, MD, USA
| | - Rasika A Mathias
- Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
| | - Alexis Battle
- Department of Biomedical Engineering, Johns Hopkins University, Baltimore, MD, USA.
- Department of Computer Science, Johns Hopkins University, Baltimore, MD, USA.
- Department of Genetic Medicine, Johns Hopkins University, Baltimore, MD, USA.
- Malone Center for Engineering in Healthcare, Johns Hopkins University, Baltimore, MD, USA.
- Data Science and AI Institute, Johns Hopkins University, Baltimore, MD, USA.
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43
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Zhao B, Yang X, Zhu H. Estimating trans-ancestry genetic correlation with unbalanced data resources. J Am Stat Assoc 2024; 119:839-850. [PMID: 39219674 PMCID: PMC11364214 DOI: 10.1080/01621459.2024.2344703] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/22/2022] [Accepted: 04/07/2024] [Indexed: 09/04/2024]
Abstract
The aim of this paper is to propose a novel method for estimating trans-ancestry genetic correlations in genome-wide association studies (GWAS) using genetically-predicted observations. These correlations describe how genetic architecture of complex traits varies among populations. Our new estimator corrects for biases arising from prediction errors in high-dimensional weak GWAS signals, while addressing the ethnic diversity inherent in GWAS data, such as linkage disequilibrium (LD) differences. A distinguishing feature of our approach is its flexibility regarding sample sizes: it necessitates a large GWAS sample only from one population, while the secondary population may have a much smaller cohort, even in the hundreds. This design directly addresses the existing imbalance in GWAS data resources, where datasets for European populations typically outnumber those of non-European ancestries. Through extensive simulations and real data analysis from the UK Biobank study encompassing 26 complex traits, we validate the reliability of our method. Our results illuminate the broader implications of transferring genetic findings across diverse populations.
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Affiliation(s)
- Bingxin Zhao
- Department of Statistics and Data Science, University of Pennsylvania
| | | | - Hongtu Zhu
- Department of Biostatistics, University of North Carolina at Chapel Hill
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44
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Moix S, Sadler MC, Kutalik Z, Auwerx C. Breaking down causes, consequences, and mediating effects of telomere length variation on human health. Genome Biol 2024; 25:125. [PMID: 38760657 PMCID: PMC11101352 DOI: 10.1186/s13059-024-03269-9] [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: 11/01/2023] [Accepted: 05/07/2024] [Indexed: 05/19/2024] Open
Abstract
BACKGROUND Telomeres form repeated DNA sequences at the ends of chromosomes, which shorten with each cell division. Yet, factors modulating telomere attrition and the health consequences thereof are not fully understood. To address this, we leveraged data from 326,363 unrelated UK Biobank participants of European ancestry. RESULTS Using linear regression and bidirectional univariable and multivariable Mendelian randomization (MR), we elucidate the relationships between leukocyte telomere length (LTL) and 142 complex traits, including diseases, biomarkers, and lifestyle factors. We confirm that telomeres shorten with age and show a stronger decline in males than in females, with these factors contributing to the majority of the 5.4% of LTL variance explained by the phenome. MR reveals 23 traits modulating LTL. Smoking cessation and high educational attainment associate with longer LTL, while weekly alcohol intake, body mass index, urate levels, and female reproductive events, such as childbirth, associate with shorter LTL. We also identify 24 traits affected by LTL, with risk for cardiovascular, pulmonary, and some autoimmune diseases being increased by short LTL, while longer LTL increased risk for other autoimmune conditions and cancers. Through multivariable MR, we show that LTL may partially mediate the impact of educational attainment, body mass index, and female age at childbirth on proxied lifespan. CONCLUSIONS Our study sheds light on the modulators, consequences, and the mediatory role of telomeres, portraying an intricate relationship between LTL, diseases, lifestyle, and socio-economic factors.
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Affiliation(s)
- Samuel Moix
- Department of Computational Biology, UNIL, Lausanne, 1015, Switzerland.
- Swiss Institute of Bioinformatics, Lausanne, 1015, Switzerland.
| | - Marie C Sadler
- Department of Computational Biology, UNIL, Lausanne, 1015, Switzerland
- Swiss Institute of Bioinformatics, Lausanne, 1015, Switzerland
- University Center for Primary Care and Public Health, Lausanne, 1015, Switzerland
| | - Zoltán Kutalik
- Department of Computational Biology, UNIL, Lausanne, 1015, Switzerland.
- Swiss Institute of Bioinformatics, Lausanne, 1015, Switzerland.
- University Center for Primary Care and Public Health, Lausanne, 1015, Switzerland.
| | - Chiara Auwerx
- Department of Computational Biology, UNIL, Lausanne, 1015, Switzerland.
- Swiss Institute of Bioinformatics, Lausanne, 1015, Switzerland.
- University Center for Primary Care and Public Health, Lausanne, 1015, Switzerland.
- Center for Integrative Genetics, UNIL, Lausanne, 1015, Switzerland.
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45
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Mitchell J, Camacho N, Shea P, Stopsack KH, Joseph V, Burren O, Dhindsa R, Nag A, Berchuck JE, O'Neill A, Abbasi A, Zoghbi AW, Alegre-Díaz J, Kuri-Morales P, Berumen J, Tapia-Conyer R, Emberson J, Torres JM, Collins R, Wang Q, Goldstein D, Matakidou A, Haefliger C, Anderson-Dring L, March R, Jobanputra V, Dougherty B, Carss K, Petrovski S, Kantoff PW, Offit K, Mucci LA, Pomerantz M, Fabre MA. Characterising the contribution of rare protein-coding germline variants to prostate cancer risk and severity in 37,184 cases. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2024:2024.05.10.24307164. [PMID: 38766261 PMCID: PMC11100931 DOI: 10.1101/2024.05.10.24307164] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/22/2024]
Abstract
The etiology of prostate cancer, the second most common cancer in men globally, has a strong heritable component. While rare coding germline variants in several genes have been identified as risk factors from candidate gene and linkage studies, the exome-wide spectrum of causal rare variants remains to be fully explored. To more comprehensively address their contribution, we analysed data from 37,184 prostate cancer cases and 331,329 male controls from five cohorts with germline exome/genome sequencing and one cohort with imputed array data from a population enriched in low-frequency deleterious variants. Our gene-level collapsing analysis revealed that rare damaging variants in SAMHD1 as well as genes in the DNA damage response pathway (BRCA2, ATM and CHEK2) are associated with the risk of overall prostate cancer. We also found that rare damaging variants in AOX1 and BRCA2 were associated with increased severity of prostate cancer in a case-only analysis of aggressive versus non-aggressive prostate cancer. At the single-variant level, we found rare non-synonymous variants in three genes (HOXB13, CHEK2, BIK) significantly associated with increased risk of overall prostate cancer and in four genes (ANO7, SPDL1, AR, TERT) with decreased risk. Altogether, this study provides deeper insights into the genetic architecture and biological basis of prostate cancer risk and severity.
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Affiliation(s)
- Jonathan Mitchell
- Centre for Genomics Research, Discovery Sciences, BioPharmaceuticals R&D, AstraZeneca, Cambridge, UK
| | - Niedzica Camacho
- Centre for Genomics Research, Discovery Sciences, BioPharmaceuticals R&D, AstraZeneca, Cambridge, UK
| | - Patrick Shea
- Institute for Genomic Medicine, Columbia University, New York, New York, USA
| | - Konrad H Stopsack
- Clinical and Translational Epidemiology Unit, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts, USA
- Department of Epidemiology, Harvard T. H. Chan School of Public Health, Boston, Massachusetts, USA
| | - Vijai Joseph
- Cancer Biology and Genetics Program, Sloan Kettering Institute, New York, New York, USA
- Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, New York, USA
- Department of Medicine, Weill Cornell Medical College, New York, New York, USA
| | - Oliver Burren
- Centre for Genomics Research, Discovery Sciences, BioPharmaceuticals R&D, AstraZeneca, Cambridge, UK
| | - Ryan Dhindsa
- Centre for Genomics Research, Discovery Sciences, BioPharmaceuticals R&D, AstraZeneca, Cambridge, UK
| | - Abhishek Nag
- Centre for Genomics Research, Discovery Sciences, BioPharmaceuticals R&D, AstraZeneca, Cambridge, UK
| | | | - Amanda O'Neill
- Centre for Genomics Research, Discovery Sciences, BioPharmaceuticals R&D, AstraZeneca, Cambridge, UK
| | - Ali Abbasi
- Centre for Genomics Research, Discovery Sciences, BioPharmaceuticals R&D, AstraZeneca, Cambridge, UK
| | - Anthony W Zoghbi
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, Texas, USA
| | - Jesus Alegre-Díaz
- Faculty of Medicine, National Autonomous University of Mexico, Copilco Universidad, Coyoacán, Ciudad de México, Mexico
| | - Pablo Kuri-Morales
- Faculty of Medicine, National Autonomous University of Mexico, Copilco Universidad, Coyoacán, Ciudad de México, Mexico
- Instituto Tecnológico y de Estudios Superiores de Monterrey, Tecnológico, Monterrey, Nuevo León, Mexico
| | - Jaime Berumen
- Faculty of Medicine, National Autonomous University of Mexico, Copilco Universidad, Coyoacán, Ciudad de México, Mexico
| | - Roberto Tapia-Conyer
- Faculty of Medicine, National Autonomous University of Mexico, Copilco Universidad, Coyoacán, Ciudad de México, Mexico
| | - Jonathan Emberson
- Clinical Trial Service Unit & Epidemiological Studies Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Jason M Torres
- Clinical Trial Service Unit & Epidemiological Studies Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Rory Collins
- Clinical Trial Service Unit & Epidemiological Studies Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Quanli Wang
- Centre for Genomics Research, Discovery Sciences, BioPharmaceuticals R&D, AstraZeneca, Waltham, Massachusetts, USA
| | - David Goldstein
- Institute for Genomic Medicine, Columbia University, New York, New York, USA
| | - Athena Matakidou
- Centre for Genomics Research, Discovery Sciences, BioPharmaceuticals R&D, AstraZeneca, Cambridge, UK
| | - Carolina Haefliger
- Centre for Genomics Research, Discovery Sciences, BioPharmaceuticals R&D, AstraZeneca, Cambridge, UK
| | - Lauren Anderson-Dring
- Centre for Genomics Research, Discovery Sciences, BioPharmaceuticals R&D, AstraZeneca, Cambridge, UK
| | - Ruth March
- Centre for Genomics Research, Discovery Sciences, BioPharmaceuticals R&D, AstraZeneca, Cambridge, UK
| | - Vaidehi Jobanputra
- Institute for Genomic Medicine, Columbia University, New York, New York, USA
| | | | - Keren Carss
- Centre for Genomics Research, Discovery Sciences, BioPharmaceuticals R&D, AstraZeneca, Cambridge, UK
| | - Slavé Petrovski
- Centre for Genomics Research, Discovery Sciences, BioPharmaceuticals R&D, AstraZeneca, Cambridge, UK
| | - Philip W Kantoff
- Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, New York, USA
- Convergent Therapeutics, Cambridge, Massachusetts, USA
| | - Kenneth Offit
- Cancer Biology and Genetics Program, Sloan Kettering Institute, New York, New York, USA
- Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, New York, USA
- Department of Medicine, Weill Cornell Medical College, New York, New York, USA
| | - Lorelei A Mucci
- Department of Epidemiology, Harvard T. H. Chan School of Public Health, Boston, Massachusetts, USA
- American Cancer Society, Boston, Massachusetts, USA
| | - Mark Pomerantz
- Dana-Farber Cancer Institute, Boston, Massachusetts, USA
| | - Margarete A Fabre
- Centre for Genomics Research, Discovery Sciences, BioPharmaceuticals R&D, AstraZeneca, Cambridge, UK
- Department of Haematology, Cambridge University Hospitals NHS Foundation Trust, Cambridge, UK
- Department of Haematology, University of Cambridge, Cambridge, UK
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46
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Feng Z, Wang Y, Fu Z, Liao J, Liu H, Zhou M. Exploring the Causal Effects of Mineral Metabolism Disorders on Telomere and Mitochondrial DNA: A Bidirectional Two-Sample Mendelian Randomization Analysis. Nutrients 2024; 16:1417. [PMID: 38794655 PMCID: PMC11123946 DOI: 10.3390/nu16101417] [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: 04/11/2024] [Revised: 05/06/2024] [Accepted: 05/07/2024] [Indexed: 05/26/2024] Open
Abstract
The aim of this study was to assess the causal relationships between mineral metabolism disorders, representative of trace elements, and key aging biomarkers: telomere length (TL) and mitochondrial DNA copy number (mtDNA-CN). Utilizing bidirectional Mendelian randomization (MR) analysis in combination with the two-stage least squares (2SLS) method, we explored the causal relationships between mineral metabolism disorders and these aging indicators. Sensitivity analysis can be used to determine the reliability and robustness of the research results. The results confirmed that a positive causal relationship was observed between mineral metabolism disorders and TL (p < 0.05), while the causal relationship with mtDNA-CN was not significant (p > 0.05). Focusing on subgroup analyses of specific minerals, our findings indicated a distinct positive causal relationship between iron metabolism disorders and both TL and mtDNA-CN (p < 0.05). In contrast, disorders in magnesium and phosphorus metabolism did not exhibit significant causal effects on either aging biomarker (p > 0.05). Moreover, reverse MR analysis did not reveal any significant causal effects of TL and mtDNA-CN on mineral metabolism disorders (p > 0.05). The combination of 2SLS with MR analysis further reinforced the positive causal relationship between iron levels and both TL and mtDNA-CN (p < 0.05). Notably, the sensitivity analysis did not indicate significant pleiotropy or heterogeneity within these causal relationships (p > 0.05). These findings highlight the pivotal role of iron metabolism in cellular aging, particularly in regulating TL and sustaining mtDNA-CN, offering new insights into how mineral metabolism disorders influence aging biomarkers. Our research underscores the importance of trace element balance, especially regarding iron intake, in combating the aging process. This provides a potential strategy for slowing aging through the adjustment of trace element intake, laying the groundwork for future research into the relationship between trace elements and healthy aging.
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Affiliation(s)
| | | | | | | | | | - Meijuan Zhou
- Department of Radiation Medicine, Guangdong Provincial Key Laboratory of Tropical Disease Research, School of Public Health, Southern Medical University, Guangzhou 510515, China or (Z.F.); (Y.W.); (Z.F.); (J.L.); (H.L.)
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47
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Cui F, Tang L, Li D, Ma Y, Wang J, Xie J, Su B, Tian Y, Zheng X. Early-life exposure to tobacco, genetic susceptibility, and accelerated biological aging in adulthood. SCIENCE ADVANCES 2024; 10:eadl3747. [PMID: 38701212 PMCID: PMC11068008 DOI: 10.1126/sciadv.adl3747] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/14/2023] [Accepted: 04/03/2024] [Indexed: 05/05/2024]
Abstract
Early-life tobacco exposure serves as a non-negligible risk factor for aging-related diseases. To understand the underlying mechanisms, we explored the associations of early-life tobacco exposure with accelerated biological aging and further assessed the joint effects of tobacco exposure and genetic susceptibility. Compared with those without in utero exposure, participants with in utero tobacco exposure had an increase in Klemera-Doubal biological age (KDM-BA) and PhenoAge acceleration of 0.26 and 0.49 years, respectively, but a decrease in telomere length of 5.34% among 276,259 participants. We also found significant dose-response associations between the age of smoking initiation and accelerated biological aging. Furthermore, the joint effects revealed that high-polygenic risk score participants with in utero exposure and smoking initiation in childhood had the highest accelerated biological aging. There were interactions between early-life tobacco exposure and age, sex, deprivation, and diet on KDM-BA and PhenoAge acceleration. These findings highlight the importance of reducing early-life tobacco exposure to improve healthy aging.
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Affiliation(s)
- Feipeng Cui
- Key Laboratory of Environment and Health, Ministry of Education & Ministry of Environmental Protection, and State Key Laboratory of Environmental Health (incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, PR China
- Department of Maternal and Child Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, No. 13 Hangkong Road, Wuhan 430030, Hubei, PR China
| | - Linxi Tang
- Key Laboratory of Environment and Health, Ministry of Education & Ministry of Environmental Protection, and State Key Laboratory of Environmental Health (incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, PR China
- Department of Maternal and Child Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, No. 13 Hangkong Road, Wuhan 430030, Hubei, PR China
| | - Dankang Li
- Key Laboratory of Environment and Health, Ministry of Education & Ministry of Environmental Protection, and State Key Laboratory of Environmental Health (incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, PR China
- Department of Maternal and Child Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, No. 13 Hangkong Road, Wuhan 430030, Hubei, PR China
| | - Yudiyang Ma
- Key Laboratory of Environment and Health, Ministry of Education & Ministry of Environmental Protection, and State Key Laboratory of Environmental Health (incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, PR China
- Department of Maternal and Child Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, No. 13 Hangkong Road, Wuhan 430030, Hubei, PR China
| | - Jianing Wang
- Key Laboratory of Environment and Health, Ministry of Education & Ministry of Environmental Protection, and State Key Laboratory of Environmental Health (incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, PR China
- Department of Maternal and Child Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, No. 13 Hangkong Road, Wuhan 430030, Hubei, PR China
| | - Junqing Xie
- Center for Statistics in Medicine, NDORMS, University of Oxford, The Botnar Research Centre, Oxford, UK
| | - Binbin Su
- School of Population Medicine and Public Health, Chinese Academy of Medical Sciences/Peking Union Medical College, No. 31, Beijige-3, Dongcheng District, Beijing 100730, PR China
| | - Yaohua Tian
- Key Laboratory of Environment and Health, Ministry of Education & Ministry of Environmental Protection, and State Key Laboratory of Environmental Health (incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, PR China
- Department of Maternal and Child Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, No. 13 Hangkong Road, Wuhan 430030, Hubei, PR China
| | - Xiaoying Zheng
- School of Population Medicine and Public Health, Chinese Academy of Medical Sciences/Peking Union Medical College, No. 31, Beijige-3, Dongcheng District, Beijing 100730, PR China
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McQuillan MA, Verhulst S, Hansen MEB, Beggs W, Meskel DW, Belay G, Nyambo T, Mpoloka SW, Mokone GG, Fokunang C, Njamnshi AK, Chanock SJ, Aviv A, Tishkoff SA. Association between telomere length and Plasmodium falciparum malaria endemicity in sub-Saharan Africans. Am J Hum Genet 2024; 111:927-938. [PMID: 38701745 PMCID: PMC11080607 DOI: 10.1016/j.ajhg.2024.04.003] [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: 09/11/2023] [Revised: 03/19/2024] [Accepted: 04/03/2024] [Indexed: 05/05/2024] Open
Abstract
Leukocyte telomere length (LTL) varies significantly across human populations, with individuals of African ancestry having longer LTL than non-Africans. However, the genetic and environmental drivers of LTL variation in Africans remain largely unknown. We report here on the relationship between LTL, genetics, and a variety of environmental and climatic factors in ethnically diverse African adults (n = 1,818) originating from Botswana, Tanzania, Ethiopia, and Cameroon. We observe significant variation in LTL among populations, finding that the San hunter-gatherers from Botswana have the longest leukocyte telomeres and that the Fulani pastoralists from Cameroon have the shortest telomeres. Genetic factors explain ∼50% of LTL variation among individuals. Moreover, we observe a significant negative association between Plasmodium falciparum malaria endemicity and LTL while adjusting for age, sex, and genetics. Within Africa, adults from populations indigenous to areas with high malaria exposure have shorter LTL than those in populations indigenous to areas with low malaria exposure. Finally, we explore to what degree the genetic architecture underlying LTL in Africa covaries with malaria exposure.
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Affiliation(s)
- Michael A McQuillan
- Department of Genetics, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Simon Verhulst
- Groningen Institute for Evolutionary Life Sciences, University of Groningen, Groningen, the Netherlands
| | - Matthew E B Hansen
- Department of Genetics, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - William Beggs
- Department of Genetics, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Dawit Wolde Meskel
- Department of Microbial Cellular and Molecular Biology, Addis Ababa University, Addis Ababa, Ethiopia
| | - Gurja Belay
- Department of Microbial Cellular and Molecular Biology, Addis Ababa University, Addis Ababa, Ethiopia
| | - Thomas Nyambo
- Department of Biochemistry, Kampala International University in Tanzania (KIUT), Dares Salaam, Tanzania
| | - Sununguko Wata Mpoloka
- Department of Biological Sciences, Faculty of Science, University of Botswana, Gaborone, Botswana
| | - Gaonyadiwe George Mokone
- Department of Biomedical Sciences, Faculty of Medicine, University of Botswana, Gaborone, Botswana
| | - Charles Fokunang
- Department of Pharmacotoxicology and Pharmacokinetics, Faculty of Medicine and Biomedical Sciences, The University of Yaoundé I, Yaoundé, Cameroon
| | - Alfred K Njamnshi
- Brain Research Africa Initiative (BRAIN), Neuroscience Lab, Faculty of Medicine and Biomedical Sciences, The University of Yaoundé I, Department of Neurology, Central Hospital Yaoundé, Yaoundé, Cameroon
| | - Stephen J Chanock
- Division of Cancer Epidemiology & Genetics, National Cancer Institute, National Institutes of Health, US Department of Health and Human Services, Bethesda, MD, USA; Cancer Genomics Research Laboratory, Frederick National Laboratory for Cancer Research, Frederick, MD, USA
| | - Abraham Aviv
- The Center of Human Development and Aging, New Jersey Medical School, Rutgers University, Newark, NJ 07103, USA
| | - Sarah A Tishkoff
- Department of Genetics, University of Pennsylvania, Philadelphia, PA 19104, USA; Department of Biology, University of Pennsylvania, Philadelphia, PA 19104, USA; Center for Global Genomics and Health Equity, University of Pennsylvania, Philadelphia, PA, USA.
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49
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Zhang Y, Zhu Y, Zhang X, Li C, Fu H, Lin L, Yang Z, Zhang B. The association of sleep duration and leukocyte telomere length in middle-aged and young-old adults: A cross-sectional study of UK Biobank. Sleep Med 2024; 117:18-24. [PMID: 38493659 DOI: 10.1016/j.sleep.2024.02.043] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/08/2024] [Revised: 02/28/2024] [Accepted: 02/28/2024] [Indexed: 03/19/2024]
Abstract
BACKGROUND The relationships between sleep duration and aging-associated diseases are intricate. Leukocyte telomere length (LTL) is a biomarker of aging, while the association of sleep duration and LTL is unclear. METHODS The 310,091 study participants from UK Biobank were enrolled in this cross-sectional study. Restricted cubic splines (RCS) analysis was firstly performed to assess the nonlinear relationship between sleep duration and LTL. Sleep duration was then categorized into three groups: <7 h (short sleep duration), 7-8 h (reference group), and >8 h (long sleep duration) and multiple linear regression was applied to analyze the association of short sleep and long sleep duration with LTL. We further performed subgroup analyses stratified by sex, age, chronotype and snoring. RESULTS RCS showed an inverted J-shaped relationship between sleep duration and LTL. Compared with the reference group, the inverse association of long sleep duration and LTL was statistically significant in fully-adjusted model (P = 0.001). Subgroup analyses showed that this association was more apparent in people over 50 years (51-60 y: P = 0.002; >60 y: P = 0.005), in men (P = 0.022), and in people preferred evening chronotype (P = 0.001). CONCLUSION Compared with participants sleeping 7-8 h, those sleep longer than 8 h had shorter LTL in middle-aged and young-old adults. The negative association between long sleep duration and LTL was more apparent in older people, in men, and in people preferred evening chronotype.
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Affiliation(s)
- Yuchun Zhang
- Food Safety and Health Research Center, School of Public Health, Southern Medical University, Guangzhou, 510515, PR China
| | - Yuanting Zhu
- Department of Cardiology, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou 510080, PR China; NHC Key Laboratory on Assisted Circulation (Sun Yat-sen University), Guangzhou, 510080, PR China
| | - Xiaojun Zhang
- Food Safety and Health Research Center, School of Public Health, Southern Medical University, Guangzhou, 510515, PR China
| | - Chunhao Li
- Food Safety and Health Research Center, School of Public Health, Southern Medical University, Guangzhou, 510515, PR China
| | - Hongna Fu
- NHC Key Laboratory on Assisted Circulation (Sun Yat-sen University), Guangzhou, 510080, PR China; Department of Emergency, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou 510080, PR China
| | - Luyang Lin
- NHC Key Laboratory on Assisted Circulation (Sun Yat-sen University), Guangzhou, 510080, PR China; Department of Emergency, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou 510080, PR China
| | - Zhen Yang
- Department of Cardiology, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou 510080, PR China; NHC Key Laboratory on Assisted Circulation (Sun Yat-sen University), Guangzhou, 510080, PR China; Department of Emergency, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou 510080, PR China.
| | - Bo Zhang
- Food Safety and Health Research Center, School of Public Health, Southern Medical University, Guangzhou, 510515, PR China.
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50
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Pisanu C, Congiu D, Meloni A, Paribello P, Patrinos GP, Severino G, Ardau R, Chillotti C, Manchia M, Squassina A. Dissecting the genetic overlap between severe mental disorders and markers of cellular aging: Identification of pleiotropic genes and druggable targets. Neuropsychopharmacology 2024; 49:1033-1041. [PMID: 38402365 PMCID: PMC11039620 DOI: 10.1038/s41386-024-01822-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/22/2023] [Revised: 01/17/2024] [Accepted: 02/04/2024] [Indexed: 02/26/2024]
Abstract
Patients with severe mental disorders such as bipolar disorder (BD), schizophrenia (SCZ) and major depressive disorder (MDD) show a substantial reduction in life expectancy, increased incidence of comorbid medical conditions commonly observed with advanced age and alterations of aging hallmarks. While severe mental disorders are heritable, the extent to which genetic predisposition might contribute to accelerated cellular aging is not known. We used bivariate causal mixture models to quantify the trait-specific and shared architecture of mental disorders and 2 aging hallmarks (leukocyte telomere length [LTL] and mitochondrial DNA copy number), and the conjunctional false discovery rate method to detect shared genetic loci. We integrated gene expression data from brain regions from GTEx and used different tools to functionally annotate identified loci and investigate their druggability. Aging hallmarks showed low polygenicity compared with severe mental disorders. We observed a significant negative global genetic correlation between MDD and LTL (rg = -0.14, p = 6.5E-10), and no significant results for other severe mental disorders or for mtDNA-cn. However, conditional QQ plots and bivariate causal mixture models pointed to significant pleiotropy among all severe mental disorders and aging hallmarks. We identified genetic variants significantly shared between LTL and BD (n = 17), SCZ (n = 55) or MDD (n = 19), or mtDNA-cn and BD (n = 4), SCZ (n = 12) or MDD (n = 1), with mixed direction of effects. The exonic rs7909129 variant in the SORCS3 gene, encoding a member of the retromer complex involved in protein trafficking and intracellular/intercellular signaling, was associated with shorter LTL and increased predisposition to all severe mental disorders. Genetic variants underlying risk of SCZ or MDD and shorter LTL modulate expression of several druggable genes in different brain regions. Genistein, a phytoestrogen with anti-inflammatory and antioxidant effects, was an upstream regulator of 2 genes modulated by variants associated with risk of MDD and shorter LTL. While our results suggest that shared heritability might play a limited role in contributing to accelerated cellular aging in severe mental disorders, we identified shared genetic determinants and prioritized different druggable targets and compounds.
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Affiliation(s)
- Claudia Pisanu
- Department of Biomedical Sciences, Section of Neuroscience and Clinical Pharmacology, University of Cagliari, Cagliari, Italy.
| | - Donatella Congiu
- Department of Biomedical Sciences, Section of Neuroscience and Clinical Pharmacology, University of Cagliari, Cagliari, Italy
| | - Anna Meloni
- Department of Biomedical Sciences, Section of Neuroscience and Clinical Pharmacology, University of Cagliari, Cagliari, Italy
| | - Pasquale Paribello
- Section of Psychiatry, Department of Medical Sciences and Public Health, University of Cagliari, Cagliari, Italy
- Unit of Clinical Psychiatry, University Hospital Agency of Cagliari, Cagliari, Italy
| | - George P Patrinos
- Laboratory of Pharmacogenomics and Individualized Therapy, School of Health Sciences, Department of Pharmacy, University of Patras, Patras, Greece
- College of Medicine and Health Sciences, Department of Genetics and Genomics, United Arab Emirates University, Al‑Ain, Abu Dhabi, UAE
- Zayed Center for Health Sciences, United Arab Emirates University, Al‑Ain, Abu Dhabi, UAE
| | - Giovanni Severino
- Department of Biomedical Sciences, Section of Neuroscience and Clinical Pharmacology, University of Cagliari, Cagliari, Italy
| | - Raffaella Ardau
- Unit of Clinical Pharmacology, University Hospital Agency of Cagliari, Cagliari, Italy
| | - Caterina Chillotti
- Unit of Clinical Pharmacology, University Hospital Agency of Cagliari, Cagliari, Italy
| | - Mirko Manchia
- Section of Psychiatry, Department of Medical Sciences and Public Health, University of Cagliari, Cagliari, Italy
- Unit of Clinical Psychiatry, University Hospital Agency of Cagliari, Cagliari, Italy
- Department of Pharmacology, Dalhousie University, Halifax, NS, Canada
| | - Alessio Squassina
- Department of Biomedical Sciences, Section of Neuroscience and Clinical Pharmacology, University of Cagliari, Cagliari, Italy.
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