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Amri O, Madore AM, Boucher-Lafleur AM, Laprise C. Genomic analysis of severe COVID-19 considering or not asthma comorbidity: GWAS insights from the BQC19 cohort. BMC Genomics 2024; 25:482. [PMID: 38750426 PMCID: PMC11097529 DOI: 10.1186/s12864-024-10342-x] [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: 03/04/2024] [Accepted: 04/23/2024] [Indexed: 05/18/2024] Open
Abstract
BACKGROUND The severity of COVID-19 is influenced by various factors including the presence of respiratory diseases. Studies have indicated a potential relationship between asthma and COVID-19 severity. OBJECTIVE This study aimed to conduct a genome-wide association study (GWAS) to identify genetic and clinical variants associated with the severity of COVID-19, both among patients with and without asthma. METHODS We analyzed data from 2131 samples sourced from the Biobanque québécoise de la COVID-19 (BQC19), with 1499 samples from patients who tested positive for COVID-19. Among these, 1110 exhibited mild-to-moderate symptoms, 389 had severe symptoms, and 58 had asthma. We conducted a comparative analysis of clinical data from individuals in these three groups and GWAS using a logistic regression model. Phenotypic data analysis resulted in the refined covariates integrated into logistic models for genetic studies. RESULTS Considering a significance threshold of 1 × 10-6, seven genetic variants were associated with severe COVID-19. These variants were located proximal to five genes: sodium voltage-gated channel alpha subunit 1 (SCN10A), desmoplakin (DSP), RP1 axonemal microtubule associated (RP1), IGF like family member 1 (IGFL1), and docking protein 5 (DOK5). The GWAS comparing individuals with severe COVID-19 with asthma to those without asthma revealed four genetic variants in transmembrane protein with EGF like and two follistatin like domains 2 (TMEFF2) and huntingtin interacting protein-1 (HIP1) genes. CONCLUSION This study provides significant insights into the genetic profiles of patients with severe forms of the disease, whether accompanied by asthma or not. These findings enhance our comprehension of the genetic factors that affect COVID-19 severity. KEY MESSAGES Seven genetic variants were associated with the severe form of COVID-19; Four genetic variants were associated with the severe form of COVID-19 in individuals with comorbid asthma; These findings help define the genetic component of the severe form of COVID-19 in relation to asthma as a comorbidity.
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Affiliation(s)
- Omayma Amri
- Centre intersectoriel en santé durable, Université du Québec à Chicoutimi, Saguenay, Québec, G7H 2B1, Canada
- Département des sciences fondamentales, Université du Québec à Chicoutimi, Saguenay, Québec, G7H 2B1, Canada
| | - Anne-Marie Madore
- Centre intersectoriel en santé durable, Université du Québec à Chicoutimi, Saguenay, Québec, G7H 2B1, Canada
- Département des sciences fondamentales, Université du Québec à Chicoutimi, Saguenay, Québec, G7H 2B1, Canada
| | - Anne-Marie Boucher-Lafleur
- Centre intersectoriel en santé durable, Université du Québec à Chicoutimi, Saguenay, Québec, G7H 2B1, Canada
- Département des sciences fondamentales, Université du Québec à Chicoutimi, Saguenay, Québec, G7H 2B1, Canada
| | - Catherine Laprise
- Centre intersectoriel en santé durable, Université du Québec à Chicoutimi, Saguenay, Québec, G7H 2B1, Canada.
- Département des sciences fondamentales, Université du Québec à Chicoutimi, Saguenay, Québec, G7H 2B1, Canada.
- Centre de recherche du Centre intégré universitaire de santé et de services sociaux du Saguenay-Lac-Saint-Jean, Saguenay, Québec, G7H 7K9, Canada.
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2
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Mu G, Nie X, Yang S, Ye Z, Cheng M, Fan L, Qiu W, Tan Q, Zhou M, Guo Y, Chen W. PM 2.5-related DNA methylation and the association with lung function in non-smokers. ENVIRONMENTAL POLLUTION (BARKING, ESSEX : 1987) 2023; 316:120700. [PMID: 36403874 DOI: 10.1016/j.envpol.2022.120700] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/26/2022] [Revised: 10/27/2022] [Accepted: 11/17/2022] [Indexed: 06/16/2023]
Abstract
PM2.5 exposure leads to lung function alteration. The potential pathway underlying above association, especially the role of DNA methylation is unclear. The objectives of this study are to evaluate the associations of personal PM2.5 concentrations with DNA methylation at the epigenome-wide level, and investigate how PM2.5-related DNA methylation affects lung function. A total of 402 observations of non-smokers were selected from the Wuhan-Zhuhai cohort. PM2.5 exposure was estimated through a model established in the same population. Blood DNA methylation levels were determined through Illumina Infinium MethylationEPIC BeadChips. Lung function was tested through spirometry on the day of blood sampling. The associations of PM2.5 exposure with DNA methylation and DNA methylation with lung function were determined through linear mixed models. Ten PM2.5-related CpG sites (mapped to 7 different genes) were observed with false discovery rate <0.05. Methylation levels of cg24821877, cg24862131, cg23530876, cg11149743 and cg10781276 were positively associated with PM2.5 concentrations. While methylation levels of cg10314909, cg08968107, cg18362281, cg24663971 and cg17834632 were negatively associated with PM2.5 concentrations. The top CpG was cg24663971 (P = 1.51✕10-9). Among the above 10 sites, significantly positive associations of methylation levels of cg24663971 with FVC%pred and FEV1%pred, and cg10314909 with FVC, FVC%pred, and FEV1%pred were observed. Age had modification effect on the associations between cg24663971 methylation and FVC%pred, and the associations were more obvious among participants with age ≥58 years. In conclusion, PM2.5 exposure was associated with DNA methylation, and PM2.5-related DNA methylation was associated with lung function among Wuhan urban non-smokers.
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Affiliation(s)
- Ge Mu
- Department of Occupational & Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430030, China; Data Center, Medical Affairs Department, Shaanxi Provincial People's Hospital, Xi'an, Shaanxi 710068, China
| | - Xiuquan Nie
- Department of Occupational & Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430030, China
| | - Shijie Yang
- Department of Occupational & Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430030, China
| | - Zi Ye
- Department of Occupational & Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430030, China
| | - Man Cheng
- Department of Occupational & Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430030, China
| | - Lieyang Fan
- Department of Occupational & Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430030, China
| | - Weihong Qiu
- Department of Occupational & Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430030, China
| | - Qiyou Tan
- Department of Occupational & Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430030, China
| | - Min Zhou
- Department of Occupational & Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430030, China
| | - Yanjun Guo
- Department of Occupational & Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430030, China
| | - Weihong Chen
- Department of Occupational & Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430030, China.
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3
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Wang T, Wang W, Li W, Duan H, Xu C, Tian X, Zhang D. Genome-wide DNA methylation analysis of pulmonary function in middle and old-aged Chinese monozygotic twins. Respir Res 2021; 22:300. [PMID: 34809630 PMCID: PMC8609861 DOI: 10.1186/s12931-021-01896-5] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/22/2021] [Accepted: 11/12/2021] [Indexed: 01/16/2023] Open
Abstract
BACKGROUND Previous studies have determined the epigenetic association between DNA methylation and pulmonary function among various ethnics, whereas this association is largely unknown in Chinese adults. Thus, we aimed to explore epigenetic relationships between genome-wide DNA methylation levels and pulmonary function among middle-aged Chinese monozygotic twins. METHODS The monozygotic twin sample was drawn from the Qingdao Twin Registry. Pulmonary function was measured by three parameters including forced expiratory volume the first second (FEV1), forced vital capacity (FVC), and FEV1/FVC ratio. Linear mixed effect model was used to regress the methylation level of CpG sites on pulmonary function. After that, we applied Genomic Regions Enrichment of Annotations Tool (GREAT) to predict the genomic regions enrichment, and used comb-p python library to detect differentially methylated regions (DMRs). Gene expression analysis was conducted to validate the results of differentially methylated analyses. RESULTS We identified 112 CpG sites with the level of P < 1 × 10-4 which were annotated to 40 genes. We identified 12 common enriched pathways of three pulmonary function parameters. We detected 39 DMRs located at 23 genes, of which PRDM1 was related to decreased pulmonary function, and MPL, LTB4R2, and EPHB3 were related to increased pulmonary function. The gene expression analyses validated DIP2C, ASB2, SLC6A5, and GAS6 related to decreased pulmonary function. CONCLUSION Our DNA methylation sequencing analysis on identical twins provides new references for the epigenetic regulation on pulmonary function. Several CpG sites, genes, biological pathways and DMRs are considered as possible crucial to pulmonary function.
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Affiliation(s)
- Tong Wang
- Department of Epidemiology and Health Statistics, the College of Public Health of Qingdao University, NO. 308 Ning Xia Street, Qingdao, 266071, Shandong Province, People's Republic of China
| | - Weijing Wang
- Department of Epidemiology and Health Statistics, the College of Public Health of Qingdao University, NO. 308 Ning Xia Street, Qingdao, 266071, Shandong Province, People's Republic of China
| | - Weilong Li
- Population Research Unit, Faculty of Social Sciences, University of Helsinki, Helsinki, Finland
| | - Haiping Duan
- Qingdao Municipal Center for Disease Control and Prevention, Qingdao, Shandong Province, People's Republic of China.,Qingdao Institute of Preventive Medicine, Qingdao, Shandong Province, People's Republic of China
| | - Chunsheng Xu
- Qingdao Municipal Center for Disease Control and Prevention, Qingdao, Shandong Province, People's Republic of China.,Qingdao Institute of Preventive Medicine, Qingdao, Shandong Province, People's Republic of China
| | - Xiaocao Tian
- Qingdao Municipal Center for Disease Control and Prevention, Qingdao, Shandong Province, People's Republic of China.,Qingdao Institute of Preventive Medicine, Qingdao, Shandong Province, People's Republic of China
| | - Dongfeng Zhang
- Department of Epidemiology and Health Statistics, the College of Public Health of Qingdao University, NO. 308 Ning Xia Street, Qingdao, 266071, Shandong Province, People's Republic of China.
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4
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Schamschula E, Lahnsteiner A, Assenov Y, Hagmann W, Zaborsky N, Wiederstein M, Strobl A, Stanke F, Muley T, Plass C, Tümmler B, Risch A. Disease-related blood-based differential methylation in cystic fibrosis and its representation in lung cancer revealed a regulatory locus in PKP3 in lung epithelial cells. Epigenetics 2021; 17:837-860. [PMID: 34415821 PMCID: PMC9423854 DOI: 10.1080/15592294.2021.1959976] [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] [Indexed: 12/24/2022] Open
Abstract
Cystic fibrosis (CF) is a monogenic disease, characterized by massive chronic lung inflammation. The observed variability in clinical phenotypes in monozygotic CF twins is likely associated with the extent of inflammation. This study sought to investigate inflammation-related aberrant DNA methylation in CF twins and to determine to what extent acquired methylation changes may be associated with lung cancer. Blood-based genome-wide DNA methylation analysis was performed to compare the DNA methylomes of monozygotic twins, from the European CF Twin and Sibling Study with various degrees of disease severity. Putatively inflammation-related and differentially methylated positions were selected from a large lung cancer case-control study and investigated in blood by targeted bisulphite next-generation-sequencing. An inflammation-related locus located in the Plakophilin-3 (PKP3) gene was functionally analysed regarding promoter and enhancer activity in presence and absence of methylation using luciferase reporter assays. We confirmed in a unique cohort that monozygotic twins, even if clinically discordant, have only minor differences in global DNA methylation patterns and blood cell composition. Further, we determined the most differentially methylated positions, a high proportion of which are blood cell-type-specific, whereas others may be acquired and thus have potential relevance in the context of inflammation as lung cancer risk factors. We identified a sequence in the gene body of PKP3 which is hypermethylated in blood from CF twins with severe phenotype and highly variably methylated in lung cancer patients and controls, independent of known clinical parameters, and showed that this region exhibits methylation-dependent promoter activity in lung epithelial cells.
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Affiliation(s)
| | | | - Yassen Assenov
- Division of Cancer Epigenomics, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Wolfgang Hagmann
- Division of Cancer Epigenomics, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Nadja Zaborsky
- Department of Internal Medicine III with Haematology, Medical Oncology, Haemostaseology, Infectiology and Rheumatology, Oncologic Center, Salzburg Cancer Research Institute - Laboratory for Immunological and Molecular Cancer Research (SCRI-LIMCR), Paracelsus Medical University, Salzburg, Austria.,Cancer Cluster Salzburg, Salzburg, Austria
| | | | - Anna Strobl
- Department of Biosciences, University of Salzburg, Salzburg, Austria
| | - Frauke Stanke
- Clinical Research Group, Clinic for Pediatric Pneumology, Allergology and NeonatologyClinic for Pediatric Pneumology, Allergology and Neonatology, Hannover, Germany.,Biomedical Research in Endstage and Obstructive Lung Disease Hannover (BREATH), German Center for Lung Research, Hannover Medical School, Hannover, Germany
| | - Thomas Muley
- Translational Research Unit, Thoraxklinik Heidelberg, University of Heidelberg, Germany.,Translational Lung Research Center Heidelberg (TLRC-H), Member of the German Center for Lung Research (DZL), Heidelberg, Germany
| | - Christoph Plass
- Division of Cancer Epigenomics, German Cancer Research Center (DKFZ), Heidelberg, Germany.,Translational Lung Research Center Heidelberg (TLRC-H), Member of the German Center for Lung Research (DZL), Heidelberg, Germany
| | - Burkhard Tümmler
- Clinical Research Group, Clinic for Pediatric Pneumology, Allergology and NeonatologyClinic for Pediatric Pneumology, Allergology and Neonatology, Hannover, Germany.,Biomedical Research in Endstage and Obstructive Lung Disease Hannover (BREATH), German Center for Lung Research, Hannover Medical School, Hannover, Germany
| | - Angela Risch
- Department of Biosciences, University of Salzburg, Salzburg, Austria.,Division of Cancer Epigenomics, German Cancer Research Center (DKFZ), Heidelberg, Germany.,Cancer Cluster Salzburg, Salzburg, Austria.,Translational Lung Research Center Heidelberg (TLRC-H), Member of the German Center for Lung Research (DZL), Heidelberg, Germany
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5
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Bainomugisa CK, Sutherland HG, Parker R, Mcrae AF, Haupt LM, Griffiths LR, Heath A, Nelson EC, Wright MJ, Hickie IB, Martin NG, Nyholt DR, Mehta D. Using Monozygotic Twins to Dissect Common Genes in Posttraumatic Stress Disorder and Migraine. Front Neurosci 2021; 15:678350. [PMID: 34239411 PMCID: PMC8258453 DOI: 10.3389/fnins.2021.678350] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/09/2021] [Accepted: 05/31/2021] [Indexed: 01/03/2023] Open
Abstract
Epigenetic mechanisms have been associated with genes involved in Posttraumatic stress disorder (PTSD). PTSD often co-occurs with other health conditions such as depression, cardiovascular disorder and respiratory illnesses. PTSD and migraine have previously been reported to be symptomatically positively correlated with each other, but little is known about the genes involved. The aim of this study was to understand the comorbidity between PTSD and migraine using a monozygotic twin disease discordant study design in six pairs of monozygotic twins discordant for PTSD and 15 pairs of monozygotic twins discordant for migraine. DNA from peripheral blood was run on Illumina EPIC arrays and analyzed. Multiple testing correction was performed using the Bonferroni method and 10% false discovery rate (FDR). We validated 11 candidate genes previously associated with PTSD including DOCK2, DICER1, and ADCYAP1. In the epigenome-wide scan, seven novel CpGs were significantly associated with PTSD within/near IL37, WNT3, ADNP2, HTT, SLFN11, and NQO2, with all CpGs except the IL37 CpG hypermethylated in PTSD. These results were significantly enriched for genes whose DNA methylation was previously associated with migraine (p-value = 0.036). At 10% FDR, 132 CpGs in 99 genes associated with PTSD were also associated with migraine in the migraine twin samples. Genes associated with PTSD were overrepresented in vascular smooth muscle, axon guidance and oxytocin signaling pathways, while genes associated with both PTSD and migraine were enriched for AMPK signaling and longevity regulating pathways. In conclusion, these results suggest that common genes and pathways are likely involved in PTSD and migraine, explaining at least in part the co-morbidity between the two disorders.
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Affiliation(s)
- Charlotte K Bainomugisa
- Centre for Genomics and Personalised Health, School of Biomedical Science, Faculty of Health, Queensland University of Technology, Kelvin Grove, QLD, Australia
| | - Heidi G Sutherland
- Centre for Genomics and Personalised Health, School of Biomedical Science, Faculty of Health, Queensland University of Technology, Kelvin Grove, QLD, Australia.,Centre for Genomics and Personalised Health, Genomics Research Centre, School of Biomedical Sciences, Institute of Health and Biomedical Innovation, Kelvin Grove, QLD, Australia
| | - Richard Parker
- QIMR Berghofer Medical Research Institute, Royal Brisbane Hospital, Herston, QLD, Australia
| | - Allan F Mcrae
- Institute for Molecular Bioscience, The University of Queensland, Brisbane, QLD, Australia
| | - Larisa M Haupt
- Centre for Genomics and Personalised Health, School of Biomedical Science, Faculty of Health, Queensland University of Technology, Kelvin Grove, QLD, Australia.,Centre for Genomics and Personalised Health, Genomics Research Centre, School of Biomedical Sciences, Institute of Health and Biomedical Innovation, Kelvin Grove, QLD, Australia
| | - Lyn R Griffiths
- Centre for Genomics and Personalised Health, School of Biomedical Science, Faculty of Health, Queensland University of Technology, Kelvin Grove, QLD, Australia.,Centre for Genomics and Personalised Health, Genomics Research Centre, School of Biomedical Sciences, Institute of Health and Biomedical Innovation, Kelvin Grove, QLD, Australia
| | - Andrew Heath
- Department of Psychiatry, Washington University School of Medicine in St. Louis, St. Louis, MO, United States
| | - Elliot C Nelson
- Department of Psychiatry, Washington University School of Medicine in St. Louis, St. Louis, MO, United States
| | - Margaret J Wright
- Queensland Brain Institute, The University of Queensland, Brisbane, QLD, Australia.,Centre for Advanced Imaging, The University of Queensland, Brisbane, QLD, Australia
| | - Ian B Hickie
- Brain and Mind Centre, The University of Sydney, Sydney, NSW, Australia
| | - Nicholas G Martin
- QIMR Berghofer Medical Research Institute, Royal Brisbane Hospital, Herston, QLD, Australia
| | - Dale R Nyholt
- Centre for Genomics and Personalised Health, School of Biomedical Science, Faculty of Health, Queensland University of Technology, Kelvin Grove, QLD, Australia
| | - Divya Mehta
- Centre for Genomics and Personalised Health, School of Biomedical Science, Faculty of Health, Queensland University of Technology, Kelvin Grove, QLD, Australia
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6
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Hernandez Cordero AI, Yang CX, Obeidat M, Yang J, MacIsaac J, McEwen L, Lin D, Kobor M, Novak R, Hudson F, Klinker H, Dharan N, Man SP, Sin DD, Kunisaki K, Leung J. DNA methylation is associated with airflow obstruction in patients living with HIV. Thorax 2020; 76:448-455. [PMID: 33443234 PMCID: PMC8070606 DOI: 10.1136/thoraxjnl-2020-215866] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/27/2020] [Revised: 11/20/2020] [Accepted: 11/23/2020] [Indexed: 11/30/2022]
Abstract
Introduction People living with HIV (PLWH) suffer from age-related comorbidities such as COPD. The processes responsible for reduced lung function in PLWH are largely unknown. We performed an epigenome-wide association study to investigate whether blood DNA methylation is associated with impaired lung function in PLWH. Methods Using blood DNA methylation profiles from 161 PLWH, we tested the effect of methylation on FEV1, FEV1/FVC ratio and FEV1 decline over a median of 5 years. We evaluated the global methylation of PLWH with airflow obstruction by testing the differential methylation of transposable elements Alu and LINE-1, a well-described marker of epigenetic ageing. Results Airflow obstruction as defined by a FEV1/FVC<0.70 was associated with 1393 differentially methylated positions (DMPs), while 4676 were associated with airflow obstruction based on the FEV1/FVC<lower limit of normal. These DMPs were enriched for biological pathways associated with chronic viral infections. The airflow obstruction group was globally hypomethylated compared with those without airflow obstruction. 103 and 7112 DMPs were associated with FEV1 and FEV1/FVC, respectively. No positions were associated with FEV1 decline. Conclusion A large number of DMPs were associated with airflow obstruction and lung function in a unique cohort of PLWH. Airflow obstruction in even relatively young PLWH is associated with global hypomethylation, suggesting advanced epigenetic ageing compared with those with normal lung function. The disturbance of the epigenetic regulation of key genes not previously identified in non-HIV COPD cohorts could explain the unique risk of COPD in PLWH.
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Affiliation(s)
- Ana I Hernandez Cordero
- Centre for Heart Lung Innovation, The University of British Columbia, Vancouver, British Columbia, Canada
| | - Chen Xi Yang
- Centre for Heart Lung Innovation, The University of British Columbia, Vancouver, British Columbia, Canada
| | - Maen Obeidat
- Centre for Heart Lung Innovation, The University of British Columbia, Vancouver, British Columbia, Canada
| | - Julia Yang
- Centre for Heart Lung Innovation, The University of British Columbia, Vancouver, British Columbia, Canada
| | - Julie MacIsaac
- Center for Molecular Medicine and Therapeutics, The University of British Columbia, Vancouver, British Columbia, Canada
| | - Lisa McEwen
- Center for Molecular Medicine and Therapeutics, The University of British Columbia, Vancouver, British Columbia, Canada
| | - David Lin
- Center for Molecular Medicine and Therapeutics, The University of British Columbia, Vancouver, British Columbia, Canada
| | - Michael Kobor
- Center for Molecular Medicine and Therapeutics, The University of British Columbia, Vancouver, British Columbia, Canada
| | - Richard Novak
- Section of Infectious Diseases, University of Illinois at Chicago, Chicago, Illinois, USA
| | - Fleur Hudson
- MRC Clinical Trials Unit, University College London, London, UK
| | - Hartwig Klinker
- Medizinische Klinik und Poliklinik II, Universitatsklinikum Wurzburg, Wurzburg, Germany
| | - Nila Dharan
- The Kirby Institute, UNSW Sydney, Sydney, New South Wales, Australia
| | - Sf Paul Man
- Centre for Heart Lung Innovation, The University of British Columbia, Vancouver, British Columbia, Canada
| | - Don D Sin
- Centre for Heart Lung Innovation, The University of British Columbia, Vancouver, British Columbia, Canada
| | - Ken Kunisaki
- Minneapolis Veterans Affairs Health Care System, Section of Pulmonary, Critical Care and Sleep Medicine and the Division of Pulmonary, Allergy, Critical Care and Sleep Medicine, Department of Medicine, University of Minnesota, Minneapolis, Minnesota, USA
| | - Janice Leung
- Centre for Heart Lung Innovation, The University of British Columbia, Vancouver, British Columbia, Canada
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7
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Ji X, Lin L, Shen S, Dong X, Chen C, Li Y, Zhu Y, Huang H, Chen J, Chen X, Wei L, He J, Duan W, Su L, Jiang Y, Fan J, Guan J, You D, Shafer A, Bjaanaes MM, Karlsson A, Planck M, Staaf J, Helland Å, Esteller M, Wei Y, Zhang R, Chen F, Christiani DC. Epigenetic-smoking interaction reveals histologically heterogeneous effects of TRIM27 DNA methylation on overall survival among early-stage NSCLC patients. Mol Oncol 2020; 14:2759-2774. [PMID: 33448640 PMCID: PMC7607178 DOI: 10.1002/1878-0261.12785] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/05/2020] [Revised: 07/27/2020] [Accepted: 08/03/2020] [Indexed: 01/09/2023] Open
Abstract
Tripartite motif containing 27 (TRIM27) is highly expressed in lung cancer, including non-small-cell lung cancer (NSCLC). Here, we profiled DNA methylation of lung adenocarcinoma (LUAD) and lung squamous cell carcinoma (LUSC) tumours from 613 early-stage NSCLC patients and evaluated associations between CpG methylation of TRIM27 and overall survival. Significant CpG probes were confirmed in 617 samples from The Cancer Genome Atlas. The methylation of the CpG probe cg05293407TRIM27 was significantly associated with overall survival in patients with LUSC (HR = 1.65, 95% CI: 1.30-2.09, P = 4.52 × 10-5), but not in patients with LUAD (HR = 1.08, 95% CI: 0.87-1.33, P = 0.493). As incidence of LUSC is associated with higher smoking intensity compared to LUAD, we investigated whether smoking intensity impacted on the prognostic effect of cg05293407TRIM27 methylation in NSCLC. LUSC patients had a higher average pack-year of smoking (37.49LUAD vs 54.79LUSC, P = 1.03 × 10-19) and included a higher proportion of current smokers than LUAD patients (28.24%LUAD vs 34.09%LUSC, P = 0.037). cg05293407TRIM27 was significantly associated with overall survival only in NSCLC patients with medium-high pack-year of smoking (HR = 1.58, 95% CI: 1.26-1.96, P = 5.25 × 10-5). We conclude that cg05293407TRIM27 methylation is a potential predictor of LUSC prognosis, and smoking intensity may impact on its prognostic value across the various types of NSCLC.
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Affiliation(s)
- Xinyu Ji
- Department of Biostatistics, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, China
| | - Lijuan Lin
- Department of Biostatistics, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, China.,Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Sipeng Shen
- Department of Biostatistics, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, China.,Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA, USA.,China International Cooperation Center for Environment and Human Health, Nanjing Medical University, Nanjing, China
| | - Xuesi Dong
- Department of Biostatistics, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, China.,Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA, USA.,Department of Epidemiology and Biostatistics, School of Public Health, Southeast University, Nanjing, China
| | - Chao Chen
- Department of Biostatistics, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, China
| | - Yi Li
- Department of Biostatistics, University of Michigan, Ann Arbor, MI, USA
| | - Ying Zhu
- Department of Biostatistics, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, China
| | - Hui Huang
- Department of Biostatistics, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, China
| | - Jiajin Chen
- Department of Biostatistics, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, China
| | - Xin Chen
- Department of Biostatistics, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, China
| | - Liangmin Wei
- Department of Biostatistics, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, China
| | - Jieyu He
- Department of Biostatistics, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, China
| | - Weiwei Duan
- Department of Biostatistics, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, China.,Department of Bioinformatics, School of Biomedical Engineering and Informatics, Nanjing Medical University, Nanjing, China
| | - Li Su
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Yue Jiang
- Department of Biostatistics, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, China
| | - Juanjuan Fan
- Department of Biostatistics, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, China
| | - Jinxing Guan
- Department of Biostatistics, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, China
| | - Dongfang You
- Department of Biostatistics, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, China.,Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Andrea Shafer
- Pulmonary and Critical Care Division, Department of Medicine, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
| | - Maria Moksnes Bjaanaes
- Department of Cancer Genetics, Institute for Cancer Research, Oslo University Hospital, Oslo, Norway
| | - Anna Karlsson
- Division of Oncology and Pathology, Department of Clinical Sciences Lund and CREATE Health Strategic Center for Translational Cancer Research, Lund University, Lund, Sweden
| | - Maria Planck
- Division of Oncology and Pathology, Department of Clinical Sciences Lund and CREATE Health Strategic Center for Translational Cancer Research, Lund University, Lund, Sweden
| | - Johan Staaf
- Division of Oncology and Pathology, Department of Clinical Sciences Lund and CREATE Health Strategic Center for Translational Cancer Research, Lund University, Lund, Sweden
| | - Åslaug Helland
- Department of Cancer Genetics, Institute for Cancer Research, Oslo University Hospital, Oslo, Norway.,Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | - Manel Esteller
- Josep Carreras Leukaemia Research Institute, Badalona, Barcelona, Spain.,Centro de Investigacion Biomedica en Red Cancer, Madrid, Spain.,Institucio Catalana de Recerca i Estudis Avançats, Barcelona, Spain.,Physiological Sciences Department, School of Medicine and Health Sciences, University of Barcelona, Barcelona, Spain
| | - Yongyue Wei
- Department of Biostatistics, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, China.,Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA, USA.,China International Cooperation Center for Environment and Human Health, Nanjing Medical University, Nanjing, China
| | - Ruyang Zhang
- Department of Biostatistics, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, China.,Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA, USA.,China International Cooperation Center for Environment and Human Health, Nanjing Medical University, Nanjing, China
| | - Feng Chen
- Department of Biostatistics, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, China.,China International Cooperation Center for Environment and Human Health, Nanjing Medical University, Nanjing, China.,State Key Laboratory of Reproductive Medicine, Nanjing Medical University, Nanjing, China.,Jiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, Cancer Center, Collaborative Innovation Center for Cancer Personalized Medicine, Nanjing Medical University, Nanjing, China
| | - David C Christiani
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA, USA.,Pulmonary and Critical Care Division, Department of Medicine, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
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8
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Morrow JD, Make B, Regan E, Han M, Hersh CP, Tal-Singer R, Quackenbush J, Choi AMK, Silverman EK, DeMeo DL. DNA Methylation Is Predictive of Mortality in Current and Former Smokers. Am J Respir Crit Care Med 2020; 201:1099-1109. [PMID: 31995399 DOI: 10.1164/rccm.201902-0439oc] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/11/2022] Open
Abstract
Rationale: Smoking results in at least a decade lower life expectancy. Mortality among current smokers is two to three times as high as never smokers. DNA methylation is an epigenetic modification of the human genome that has been associated with both cigarette smoking and mortality.Objectives: We sought to identify DNA methylation marks in blood that are predictive of mortality in a subset of the COPDGene (Genetic Epidemiology of COPD) study, representing 101 deaths among 667 current and former smokers.Methods: We assayed genome-wide DNA methylation in non-Hispanic white smokers with and without chronic obstructive pulmonary disease (COPD) using blood samples from the COPDGene enrollment visit. We tested whether DNA methylation was associated with mortality in models adjusted for COPD status, age, sex, current smoking status, and pack-years of cigarette smoking. Replication was performed in a subset of 231 individuals from the ECLIPSE (Evaluation of COPD Longitudinally to Identify Predictive Surrogate Endpoints) study.Measurements and Main Results: We identified seven CpG sites associated with mortality (false discovery rate < 20%) that replicated in the ECLIPSE cohort (P < 0.05). None of these marks were associated with longitudinal lung function decline in survivors, smoking history, or current smoking status. However, differential methylation of two replicated PIK3CD (phosphatidylinositol-4,5-bisphosphate 3-kinase catalytic subunit delta) sites were associated with lung function at enrollment (P < 0.05). We also observed associations between DNA methylation and gene expression for the PIK3CD sites.Conclusions: This study is the first to identify variable DNA methylation associated with all-cause mortality in smokers with and without COPD. Evaluating predictive epigenomic marks of smokers in peripheral blood may allow for targeted risk stratification and aid in delivery of future tailored therapeutic interventions.
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Affiliation(s)
| | - Barry Make
- National Jewish Health, Denver, Colorado
| | | | - MeiLan Han
- Division of Pulmonary and Critical Care Medicine, University of Michigan, Ann Arbor, Michigan
| | - Craig P Hersh
- Channing Division of Network Medicine and.,Division of Pulmonary and Critical Care Medicine, Brigham and Women's Hospital, Boston, Massachusetts
| | | | - John Quackenbush
- Department of Biostatistics and Computational Biology, Dana-Farber Cancer Institute, Boston, Massachusetts; and
| | - Augustine M K Choi
- Department of Medicine, NewYork-Presbyterian/Weill Cornell Medical Center, New York, New York
| | - Edwin K Silverman
- Channing Division of Network Medicine and.,Division of Pulmonary and Critical Care Medicine, Brigham and Women's Hospital, Boston, Massachusetts
| | - Dawn L DeMeo
- Channing Division of Network Medicine and.,Division of Pulmonary and Critical Care Medicine, Brigham and Women's Hospital, Boston, Massachusetts
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9
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Wang C, Just A, Heiss J, Coull BA, Hou L, Zheng Y, Sparrow D, Vokonas PS, Baccarelli A, Schwartz J. Biomarkers of aging and lung function in the normative aging study. Aging (Albany NY) 2020; 12:11942-11966. [PMID: 32561690 PMCID: PMC7343502 DOI: 10.18632/aging.103363] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/20/2019] [Accepted: 05/20/2020] [Indexed: 12/17/2022]
Abstract
Elderly individuals who are never smokers but have the same height and chronological age can have substantial differences in lung function. The underlying biological mechanisms are unclear. To evaluate the associations of different biomarkers of aging (BoA) and lung function, we performed a repeated-measures analysis in the Normative Aging Study using linear mixed-effect models. We generated GrimAgeAccel, PhenoAgeAccel, extrinsic and intrinsic epigenetic age acceleration using a publically available online calculator. We calculated Zhang's DNAmRiskScore based on 10 CpGs. We measured telomere length (TL) and mitochondrial DNA copy number (mtDNA-CN) using quantitative real-time polymerase chain reaction. A pulmonary function test was performed measuring forced expiratory volume in 1 second / forced vital capacity (FEV1/FVC), FEV1, and maximum mid-expiratory flow (MMEF). Epigenetic-based BoA were associated with lower lung function. For example, a one-year increase in GrimAgeAccel was associated with a 13.64 mL [95% confidence interval (CI), 5.11 to 22.16] decline in FEV1; a 0.2 increase in Zhang's DNAmRiskScore was associated with a 0.009 L/s (0.005 to 0.013) reduction in MMEF. No association was found between TL/mtDNA-CN and lung function. Overall, this paper shows that epigenetics might be a potential mechanism underlying pulmonary dysfunction in the elderly.
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Affiliation(s)
- Cuicui Wang
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA 02115, USA
| | - Allan Just
- Department of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Jonathan Heiss
- Department of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Brent A Coull
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA 02115, USA.,Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA 02115, USA
| | - Lifang Hou
- Department of Preventive Medicine, Feinberg School of Medicine, Northwestern University, Chicago, IL 60611, USA
| | - Yinan Zheng
- Department of Preventive Medicine, Feinberg School of Medicine, Northwestern University, Chicago, IL 60611, USA
| | - David Sparrow
- VA Normative Aging Study, VA Boston Healthcare System, Boston, MA 02130, USA.,Department of Medicine, Boston University School of Medicine, Boston, MA 02118, USA
| | - Pantel S Vokonas
- VA Normative Aging Study, VA Boston Healthcare System, Boston, MA 02130, USA.,Department of Medicine, Boston University School of Medicine, Boston, MA 02118, USA
| | - Andrea Baccarelli
- Department of Epidemiology and Environmental Health Sciences, Columbia University, New York, NY 10027, USA
| | - Joel Schwartz
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA 02115, USA
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10
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Schamschula E, Hagmann W, Assenov Y, Hedtfeld S, Farag AK, Roesner LM, Wiehlmann L, Stanke F, Fischer S, Risch A, Tümmler B. Immunotyping of clinically divergent p.Phe508del homozygous monozygous cystic fibrosis twins. J Cyst Fibros 2020; 20:149-153. [PMID: 32540173 DOI: 10.1016/j.jcf.2020.06.009] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/24/2020] [Revised: 05/08/2020] [Accepted: 06/05/2020] [Indexed: 12/18/2022]
Abstract
Blood of the three clinically most concordant and most discordant p.Phe508del homozygous monozygous twin pairs of the European Cystic Fibrosis Twin and Sibling Study was examined in two postzygotic attributes that generate diversity between monozygous twins, i.e. the repertoire of the CDR3 region of the T-cell receptor ß chains and the DNA methylation at 450,000 genomic CpG sites. Methylation patterns in peripheral blood of twins changed at selected cell-type-independent positions and the immune cells of the twins showed individual profiles of the T cell receptor repertoire reflecting the plasticity of the immune system of genetically identical humans with cystic fibrosis to cope with the environment.
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Affiliation(s)
- Esther Schamschula
- Department of Biosciences, Paris Lodron University of Salzburg, Salzburg, Austria
| | - Wolfgang Hagmann
- Division of Epigenomics, DKFZ - German Cancer Research Center, Heidelberg, Germany
| | - Yassen Assenov
- Division of Epigenomics, DKFZ - German Cancer Research Center, Heidelberg, Germany
| | - Silke Hedtfeld
- Clinic for Pediatric Pneumology, Allergology and Neonatology, Hannover Medical School, Hannover, Germany
| | - Ahmed K Farag
- Department of Dermatology and Allergy, Division of Immunodermatology and Allergy Research, Hannover Medical School, Hannover, Germany
| | - Lennart M Roesner
- Department of Dermatology and Allergy, Division of Immunodermatology and Allergy Research, Hannover Medical School, Hannover, Germany
| | - Lutz Wiehlmann
- Clinic for Pediatric Pneumology, Allergology and Neonatology, Hannover Medical School, Hannover, Germany; Research Core Unit Genomics, Hannover Medical School, Hannover, Germany
| | - Frauke Stanke
- Clinic for Pediatric Pneumology, Allergology and Neonatology, Hannover Medical School, Hannover, Germany; Biomedical Research in Endstage and Obstructive Lung Disease Hannover (BREATH), German Center for Lung Research, Hannover Medical School, Hannover, Germany
| | - Sebastian Fischer
- Clinic for Pediatric Pneumology, Allergology and Neonatology, Hannover Medical School, Hannover, Germany
| | - Angela Risch
- Department of Biosciences, Paris Lodron University of Salzburg, Salzburg, Austria; Division of Epigenomics, DKFZ - German Cancer Research Center, Heidelberg, Germany; Translational Lung Research Center Heidelberg (TLRC-H), German Center for Lung Research (DZL), Heidelberg, Germany
| | - Burkhard Tümmler
- Clinic for Pediatric Pneumology, Allergology and Neonatology, Hannover Medical School, Hannover, Germany; Biomedical Research in Endstage and Obstructive Lung Disease Hannover (BREATH), German Center for Lung Research, Hannover Medical School, Hannover, Germany.
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11
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Belsky DW, Caspi A, Arseneault L, Baccarelli A, Corcoran DL, Gao X, Hannon E, Harrington HL, Rasmussen LJH, Houts R, Huffman K, Kraus WE, Kwon D, Mill J, Pieper CF, Prinz JA, Poulton R, Schwartz J, Sugden K, Vokonas P, Williams BS, Moffitt TE. Quantification of the pace of biological aging in humans through a blood test, the DunedinPoAm DNA methylation algorithm. eLife 2020; 9:e54870. [PMID: 32367804 PMCID: PMC7282814 DOI: 10.7554/elife.54870] [Citation(s) in RCA: 244] [Impact Index Per Article: 61.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/03/2020] [Accepted: 04/22/2020] [Indexed: 12/11/2022] Open
Abstract
Biological aging is the gradual, progressive decline in system integrity that occurs with advancing chronological age, causing morbidity and disability. Measurements of the pace of aging are needed as surrogate endpoints in trials of therapies designed to prevent disease by slowing biological aging. We report a blood-DNA-methylation measure that is sensitive to variation in pace of biological aging among individuals born the same year. We first modeled change-over-time in 18 biomarkers tracking organ-system integrity across 12 years of follow-up in n = 954 members of the Dunedin Study born in 1972-1973. Rates of change in each biomarker over ages 26-38 years were composited to form a measure of aging-related decline, termed Pace-of-Aging. Elastic-net regression was used to develop a DNA-methylation predictor of Pace-of-Aging, called DunedinPoAm for Dunedin(P)ace(o)f(A)ging(m)ethylation. Validation analysis in cohort studies and the CALERIE trial provide proof-of-principle for DunedinPoAm as a single-time-point measure of a person's pace of biological aging.
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Affiliation(s)
- Daniel W Belsky
- Department of Epidemiology, Columbia University Mailman School of Public HealthNew YorkUnited States
- Butler Columbia Aging Center, Columbia University Mailman School of Public HealthNew YorkUnited States
| | - Avshalom Caspi
- Social, Genetic, and Developmental Psychiatry Centre, Institute of Psychiatry, King’s College LondonLondonUnited Kingdom
- Department of Psychology and Neuroscience, Duke UniversityDurhamUnited States
- Department of Psychiatry and Behavioral Sciences, Duke University School of MedicineDurhamUnited States
- Center for Genomic and Computational Biology, Duke UniversityDurhamUnited States
| | - Louise Arseneault
- Social, Genetic, and Developmental Psychiatry Centre, Institute of Psychiatry, King’s College LondonLondonUnited Kingdom
| | - Andrea Baccarelli
- Laboratory of Precision Environmental Health, Mailman School of Public Health, Columbia UniversityNew YorkUnited States
| | - David L Corcoran
- Center for Genomic and Computational Biology, Duke UniversityDurhamUnited States
| | - Xu Gao
- Laboratory of Precision Environmental Health, Mailman School of Public Health, Columbia UniversityNew YorkUnited States
| | - Eiliss Hannon
- University of Exeter Medical School, College of Medicine and HealthExeterUnited Kingdom
| | - Hona Lee Harrington
- Department of Psychology and Neuroscience, Duke UniversityDurhamUnited States
| | - Line JH Rasmussen
- Department of Psychology and Neuroscience, Duke UniversityDurhamUnited States
- Clinical Research Centre, Copenhagen University Hospital Amager and HvidovreHvidovreDenmark
| | - Renate Houts
- Department of Psychology and Neuroscience, Duke UniversityDurhamUnited States
| | - Kim Huffman
- Duke Molecular Physiology Institute, Duke UniversityDurhamUnited States
- Duke University Center for the Study of Aging, Duke UniversityDurhamUnited States
| | - William E Kraus
- Duke Molecular Physiology Institute, Duke UniversityDurhamUnited States
- Duke University Center for the Study of Aging, Duke UniversityDurhamUnited States
| | - Dayoon Kwon
- Butler Columbia Aging Center, Columbia University Mailman School of Public HealthNew YorkUnited States
| | - Jonathan Mill
- University of Exeter Medical School, College of Medicine and HealthExeterUnited Kingdom
| | - Carl F Pieper
- Duke University Center for the Study of Aging, Duke UniversityDurhamUnited States
- Department of Biostatistics, Duke University School of MedicineDurhamUnited States
| | - Joseph A Prinz
- Center for Genomic and Computational Biology, Duke UniversityDurhamUnited States
| | - Richie Poulton
- Department of Psychology and Dunedin Multidisciplinary Health and Development Research Unit, University of OtagoOtagoNew Zealand
| | - Joel Schwartz
- Department of Environmental Health Sciences, Harvard TH Chan School of Public HealthBostonUnited States
| | - Karen Sugden
- Department of Psychology and Neuroscience, Duke UniversityDurhamUnited States
| | - Pantel Vokonas
- Veterans Affairs Normative Aging Study, Veterans Affairs Boston Healthcare System, Department of Medicine, Boston University School of MedicineBostonUnited States
| | - Benjamin S Williams
- Department of Psychology and Neuroscience, Duke UniversityDurhamUnited States
| | - Terrie E Moffitt
- Social, Genetic, and Developmental Psychiatry Centre, Institute of Psychiatry, King’s College LondonLondonUnited Kingdom
- Department of Psychology and Neuroscience, Duke UniversityDurhamUnited States
- Department of Psychiatry and Behavioral Sciences, Duke University School of MedicineDurhamUnited States
- Center for Genomic and Computational Biology, Duke UniversityDurhamUnited States
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12
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de Vries M, Nedeljkovic I, van der Plaat DA, Zhernakova A, Lahousse L, Brusselle GG, Amin N, van Duijn CM, Vonk JM, Boezen HM. DNA methylation is associated with lung function in never smokers. Respir Res 2019; 20:268. [PMID: 31791327 PMCID: PMC6889726 DOI: 10.1186/s12931-019-1222-8] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/09/2019] [Accepted: 10/22/2019] [Indexed: 12/26/2022] Open
Abstract
BACKGROUND Active smoking is the main risk factor for COPD. Here, epigenetic mechanisms may play a role, since cigarette smoking is associated with differential DNA methylation in whole blood. So far, it is unclear whether epigenetics also play a role in subjects with COPD who never smoked. Therefore, we aimed to identify differential DNA methylation associated with lung function in never smokers. METHODS We determined epigenome-wide DNA methylation levels of 396,243 CpG-sites (Illumina 450 K) in blood of never smokers in four independent cohorts, LifeLines COPD&C (N = 903), LifeLines DEEP (N = 166), Rotterdam Study (RS)-III (N = 150) and RS-BIOS (N = 206). We meta-analyzed the cohort-specific methylation results to identify differentially methylated CpG-sites with FEV1/FVC. Expression Quantitative Trait Methylation (eQTM) analysis was performed in the Biobank-based Integrative Omics Studies (BIOS). RESULTS A total of 36 CpG-sites were associated with FEV1/FVC in never smokers at p-value< 0.0001, but the meta-analysis did not reveal any epigenome-wide significant CpG-sites. Of interest, 35 of these 36 CpG-sites have not been associated with lung function before in studies including subjects irrespective of smoking history. Among the top hits were cg10012512, cg02885771, annotated to the gene LTV1 Ribosome Biogenesis factor (LTV1), and cg25105536, annotated to Kelch Like Family Member 32 (KLHL32). Moreover, a total of 11 eQTMS were identified. CONCLUSIONS With the identification of 35 CpG-sites that are unique for never smokers, our study shows that DNA methylation is also associated with FEV1/FVC in subjects that never smoked and therefore not merely related to smoking.
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Affiliation(s)
- Maaike de Vries
- University of Groningen, University Medical Center Groningen, Department of Epidemiology, Hanzeplein 1, 9713 GZ, Groningen, The Netherlands. .,University of Groningen, University Medical Center Groningen, Groningen Research Institute for Asthma and COPD (GRIAC), Groningen, The Netherlands.
| | - Ivana Nedeljkovic
- Department of Epidemiology, Erasmus Medical Center, Rotterdam, The Netherlands
| | - Diana A van der Plaat
- University of Groningen, University Medical Center Groningen, Department of Epidemiology, Hanzeplein 1, 9713 GZ, Groningen, The Netherlands.,University of Groningen, University Medical Center Groningen, Groningen Research Institute for Asthma and COPD (GRIAC), Groningen, The Netherlands
| | - Alexandra Zhernakova
- University of Groningen, University Medical Center Groningen, Department of Genetics, Groningen, The Netherlands
| | - Lies Lahousse
- Department of Epidemiology, Erasmus Medical Center, Rotterdam, The Netherlands.,Department of Bioanalysis, FFW, Ghent University, Ghent, Belgium
| | - Guy G Brusselle
- Department of Epidemiology, Erasmus Medical Center, Rotterdam, The Netherlands.,Department of Respiratory Medicine, Ghent University Hospital, Ghent, Belgium.,Department of Respiratory Medicine, Erasmus Medical Center, Rotterdam, The Netherlands
| | | | - Najaf Amin
- Department of Epidemiology, Erasmus Medical Center, Rotterdam, The Netherlands
| | | | - Judith M Vonk
- University of Groningen, University Medical Center Groningen, Department of Epidemiology, Hanzeplein 1, 9713 GZ, Groningen, The Netherlands.,University of Groningen, University Medical Center Groningen, Groningen Research Institute for Asthma and COPD (GRIAC), Groningen, The Netherlands
| | - H Marike Boezen
- University of Groningen, University Medical Center Groningen, Department of Epidemiology, Hanzeplein 1, 9713 GZ, Groningen, The Netherlands.,University of Groningen, University Medical Center Groningen, Groningen Research Institute for Asthma and COPD (GRIAC), Groningen, The Netherlands
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13
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Abstract
The Danish Twin Registry (DTR) was established in the 1950s, when twins born from 1870 to 1910 were ascertained, and has since been extended to include twins from birth cohorts until 2009. The DTR currently comprises of more than 175,000 twins from the 140 birth cohorts. This makes the DTR the oldest nationwide twin register and among the largest in the world. The combination of data from several surveys, including biological samples and repeated measurements on the same individuals, and data from Danish national registers provides a unique resource for a wide range of twin studies. This article provides an updated overview of the data in the DTR: First, we provide a summary of the establishment of the register, the different ascertainment methods and the twins included; then follows an overview of major surveys conducted in the DTR since 1994 and a description of the DTR biobank, including a description of the molecular data created so far; finally, a short description is given of the linkage to Danish national registers at Statistics Denmark and some recent examples of studies using the various data resources in the DTR are highlighted.
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14
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DeMeo DL. The Recursive Trek of Epigenetics from the Bench to the Bedside. Predictive Methylation Marks by the Dozen. Am J Respir Crit Care Med 2019; 198:145-146. [PMID: 29585206 DOI: 10.1164/rccm.201803-0477ed] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022] Open
Affiliation(s)
- Dawn L DeMeo
- 1 Brigham and Women's Hospital Harvard Medical School Boston, Massachusetts
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15
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Soda K. Polyamine Metabolism and Gene Methylation in Conjunction with One-Carbon Metabolism. Int J Mol Sci 2018; 19:E3106. [PMID: 30309036 PMCID: PMC6213949 DOI: 10.3390/ijms19103106] [Citation(s) in RCA: 55] [Impact Index Per Article: 9.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/01/2018] [Revised: 10/01/2018] [Accepted: 10/05/2018] [Indexed: 02/07/2023] Open
Abstract
Recent investigations have revealed that changes in DNA methylation status play an important role in aging-associated pathologies and lifespan. The methylation of DNA is regulated by DNA methyltransferases (DNMT1, DNMT3a, and DNMT3b) in the presence of S-adenosylmethionine (SAM), which serves as a methyl group donor. Increased availability of SAM enhances DNMT activity, while its metabolites, S-adenosyl-l-homocysteine (SAH) and decarboxylated S-adenosylmethionine (dcSAM), act to inhibit DNMT activity. SAH, which is converted from SAM by adding a methyl group to cytosine residues in DNA, is an intermediate precursor of homocysteine. dcSAM, converted from SAM by the enzymatic activity of adenosylmethionine decarboxylase, provides an aminopropyl group to synthesize the polyamines spermine and spermidine. Increased homocysteine levels are a significant risk factor for the development of a wide range of conditions, including cardiovascular diseases. However, successful homocysteine-lowering treatment by vitamins (B6, B12, and folate) failed to improve these conditions. Long-term increased polyamine intake elevated blood spermine levels and inhibited aging-associated pathologies in mice and humans. Spermine reversed changes (increased dcSAM, decreased DNMT activity, aberrant DNA methylation, and proinflammatory status) induced by the inhibition of ornithine decarboxylase. The relation between polyamine metabolism, one-carbon metabolism, DNA methylation, and the biological mechanism of spermine-induced lifespan extension is discussed.
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Affiliation(s)
- Kuniyasu Soda
- Cardiovascular Research Institute, Saitama Medical Center, Jichi Medical University, 1-847 Amanuma, Omiya, Saitama-city, Saitama Prefecture 330-8503, Japan.
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16
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Beckmeyer-Borowko A, Imboden M, Rezwan FI, Wielscher M, Amaral AFS, Jeong A, Schaffner E, Auvinen J, Sebert S, Karhunen V, Bettschart R, Turk A, Pons M, Stolz D, Kronenberg F, Arathimos R, Sharp GC, Relton C, Henderson AJ, Jarvelin MR, Jarvis D, Holloway JW, Probst-Hensch NM. SERPINA1 methylation and lung function in tobacco-smoke exposed European children and adults: a meta-analysis of ALEC population-based cohorts. Respir Res 2018; 19:156. [PMID: 30134983 PMCID: PMC6103990 DOI: 10.1186/s12931-018-0850-8] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/14/2018] [Accepted: 07/24/2018] [Indexed: 12/13/2022] Open
Abstract
BACKGROUND The pathophysiological role of SERPINA1 in respiratory health may be more strongly determined by the regulation of its expression than by common genetic variants. A family based study of predominantly smoking adults found methylation at two Cytosine-phosphate-Guanine sites (CpGs) in SERPINA1 gene to be associated with chronic obstructive pulmonary disease risk. The objective of this study was to confirm the association of lung function with SERPINA1 methylation in general population samples by testing a comprehensive set of CpGs in the SERPINA gene cluster. We considered lung function level and decline in adult smokers from three European population-based cohorts and lung function level and growth in tobacco-smoke exposed children from a birth cohort. METHODS DNA methylation using Illumina Infinium Human Methylation 450 k and EPIC beadchips and lung function were measured at two time points in 1076 SAPALDIA, ECRHS and NFBC adult cohort participants and 259 ALSPAC children. Associations of methylation at 119 CpG sites in the SERPINA gene cluster (PP4R4-SERPINA13P) with lung functions and circulating alpha-1-antitripsin (AAT) were assessed using multivariable cross-sectional and longitudinal regression models. RESULTS Methylation at cg08257009 in the SERPINA gene cluster, located 32 kb downstream of SERPINA1, not annotated to a gene, was associated with FEV1/FVC at the Bonferroni corrected level in adults, but not in children. None of the methylation signals in the SERPINA1 gene showed associations with lung function after correcting for multiple testing. CONCLUSIONS The results do not support a role of SERPINA1 gene methylation as determinant of lung function across the life course in the tobacco smoke exposed general population exposed.
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Affiliation(s)
- Anna Beckmeyer-Borowko
- Swiss Tropical and Public Health Institute, Socinstrasse 57, 4002 Basel, Switzerland
- University of Basel, Basel, Switzerland
| | - Medea Imboden
- Swiss Tropical and Public Health Institute, Socinstrasse 57, 4002 Basel, Switzerland
- University of Basel, Basel, Switzerland
| | - Faisal I. Rezwan
- Human Development and Health, Faculty of Medicine, University of Southampton, Southampton, UK
| | - Matthias Wielscher
- Department of Epidemiology and Biostatistics, MRC-PHE Centre for Environment and Health, School of Public Health, Imperial College London, W2 1PG, London, UK
| | - Andre F. S. Amaral
- Department of Epidemiology and Biostatistics, MRC-PHE Centre for Environment and Health, School of Public Health, Imperial College London, W2 1PG, London, UK
- Population Health and Occupational Disease, NHLI, Imperial College London, London, UK
| | - Ayoung Jeong
- Swiss Tropical and Public Health Institute, Socinstrasse 57, 4002 Basel, Switzerland
- University of Basel, Basel, Switzerland
| | - Emmanuel Schaffner
- Swiss Tropical and Public Health Institute, Socinstrasse 57, 4002 Basel, Switzerland
- University of Basel, Basel, Switzerland
| | - Juha Auvinen
- Center for Life Course Health Research, University of Oulu, Oulu, Finland
- Oulunkaari Health Center, Ii, Finland
- Medical Research Center, University Hospital of Oulu, University of Oulu, Oulu, Finland
| | - Sylvain Sebert
- Center for Life Course Health Research, University of Oulu, Oulu, Finland
- Biocenter Oulu, University of Oulu, Oulu, Finland
- Department for Genomics of Common Diseases, School of Public Health, Imperial College London, London, UK
| | - Ville Karhunen
- Department of Epidemiology and Biostatistics, MRC-PHE Centre for Environment and Health, School of Public Health, Imperial College London, W2 1PG, London, UK
- Center for Life Course Health Research, University of Oulu, Oulu, Finland
| | | | | | - Marco Pons
- Ospedale Regionale di Lugano-Sede Civico, Lugano, Switzerland
| | - Daiana Stolz
- Clinic of Pulmonary Medicine and Respiratory Cell Research, Basel, Switzerland
| | - Florian Kronenberg
- Division of Genetic Epidemiology, Department of Medical Genetics, Molecular and Clinical Pharmacology, Innsbruck Medical University, Innsbruck, Austria
| | - Ryan Arathimos
- MRC Integrative Epidemiology Unit, University of Bristol, Bristol, UK
- Department of Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
| | - Gemma C. Sharp
- MRC Integrative Epidemiology Unit, University of Bristol, Bristol, UK
- Department of Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
- Bristol Dental School, University of Bristol, Bristol, UK
| | - Caroline Relton
- MRC Integrative Epidemiology Unit, University of Bristol, Bristol, UK
- Department of Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
| | | | - Marjo-Riitta Jarvelin
- Department of Epidemiology and Biostatistics, MRC-PHE Centre for Environment and Health, School of Public Health, Imperial College London, W2 1PG, London, UK
- Center for Life Course Health Research, University of Oulu, Oulu, Finland
- Biocenter Oulu, University of Oulu, Oulu, Finland
- Unit of Primary Health Care, Oulu University Hospital, OYS, Kajaanintie 50, 90220 Oulu, Finland
- Department of Life Sciences, College of Health and Life Sciences, Brunel University London, Kingston Lane, Uxbridge, Middlesex UB8 3PH UK
| | - Deborah Jarvis
- Population Health and Occupational Disease, NHLI, Imperial College London, London, UK
| | - John W. Holloway
- Human Development and Health, Faculty of Medicine, University of Southampton, Southampton, UK
| | - Nicole M. Probst-Hensch
- Swiss Tropical and Public Health Institute, Socinstrasse 57, 4002 Basel, Switzerland
- University of Basel, Basel, Switzerland
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