1
|
Zhuang BC, Jude MS, Konwar C, Ryan CP, Whitehead J, Engelbrecht HR, MacIsaac JL, Dever K, Toan TK, Korinek K, Zimmer Z, Huffman KM, Lee NR, McDade TW, Kuzawa CW, Belsky DW, Kobor MS. Comparison of Infinium MethylationEPIC v2.0 to v1.0 for human population epigenetics: considerations for addressing EPIC version differences in DNA methylation-based tools. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.07.02.600461. [PMID: 39005299 PMCID: PMC11245009 DOI: 10.1101/2024.07.02.600461] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 07/16/2024]
Abstract
Background The recently launched DNA methylation profiling platform, Illumina MethylationEPIC BeadChip Infinium microarray v2.0 (EPICv2), is highly correlated with measurements obtained from its predecessor MethylationEPIC BeadChip Infinium microarray v1.0 (EPICv1). However, the concordance between the two versions in the context of DNA methylation-based tools, including cell type deconvolution algorithms, epigenetic clocks, and inflammation and lifestyle biomarkers has not yet been investigated. Findings We profiled DNA methylation on both EPIC versions using matched venous blood samples from individuals spanning early to late adulthood across three cohorts. On combining the DNA methylomes of the cohorts, we observed that samples primarily clustered by the EPIC version they were measured on. Within each cohort, when we calculated cell type proportions, epigenetic age acceleration (EAA), rate of aging estimates, and biomarker scores for the matched samples on each version, we noted significant differences between EPICv1 and EPICv2 in the majority of these estimates. These differences were not significant, however, when estimates were adjusted for EPIC version or when EAAs were calculated separately for each EPIC version. Conclusions Our findings indicate that EPIC version differences predominantly explain DNA methylation variation and influence estimates of DNA methylation-based tools, and therefore we recommend caution when combining cohorts run on different versions. We demonstrate the importance of calculating DNA methylation-based estimates separately for each EPIC version or accounting for EPIC version either as a covariate in statistical models or by using version correction algorithms.
Collapse
Affiliation(s)
- Beryl C Zhuang
- BC Children's Hospital Research Institute, 950 West 28th Avenue, Vancouver, BC, V5Z 4H4, Canada
- Department of Medical Genetics, Faculty of Medicine, University of British Columbia, Vancouver, BC, V6T 1Z3, Canada
| | - Marcia Smiti Jude
- BC Children's Hospital Research Institute, 950 West 28th Avenue, Vancouver, BC, V5Z 4H4, Canada
- Department of Medical Genetics, Faculty of Medicine, University of British Columbia, Vancouver, BC, V6T 1Z3, Canada
| | - Chaini Konwar
- BC Children's Hospital Research Institute, 950 West 28th Avenue, Vancouver, BC, V5Z 4H4, Canada
- Department of Medical Genetics, Faculty of Medicine, University of British Columbia, Vancouver, BC, V6T 1Z3, Canada
| | - Calen P Ryan
- Robert N. Butler Columbia Aging Center, Mailman School of Public Health, Columbia University, New York, NY 10032, USA
| | - Joanne Whitehead
- BC Children's Hospital Research Institute, 950 West 28th Avenue, Vancouver, BC, V5Z 4H4, Canada
- Department of Medical Genetics, Faculty of Medicine, University of British Columbia, Vancouver, BC, V6T 1Z3, Canada
| | - Hannah-Ruth Engelbrecht
- BC Children's Hospital Research Institute, 950 West 28th Avenue, Vancouver, BC, V5Z 4H4, Canada
- Department of Medical Genetics, Faculty of Medicine, University of British Columbia, Vancouver, BC, V6T 1Z3, Canada
| | - Julia L MacIsaac
- BC Children's Hospital Research Institute, 950 West 28th Avenue, Vancouver, BC, V5Z 4H4, Canada
- Department of Medical Genetics, Faculty of Medicine, University of British Columbia, Vancouver, BC, V6T 1Z3, Canada
| | - Kristy Dever
- BC Children's Hospital Research Institute, 950 West 28th Avenue, Vancouver, BC, V5Z 4H4, Canada
- Department of Medical Genetics, Faculty of Medicine, University of British Columbia, Vancouver, BC, V6T 1Z3, Canada
| | - Tran Khanh Toan
- Family Medicine Department, Hanoi Medical University, Hanoi, Vietnam
| | - Kim Korinek
- Department of Sociology, University of Utah, Salt Lake City, USA
| | - Zachary Zimmer
- Department of Family Studies and Gerontology, Mount Saint Vincent University, Halifax, Canada
- Canada Research Chair, Global Aging and Community Initiative
| | - Kim M Huffman
- Duke University School of Medicine, Durham, NC, 27701, USA
| | - Nanette R Lee
- USC-Office of Population Studies Foundation, Inc., University of San Carlos, Cebu City, Philippines
| | - Thomas W McDade
- Department of Anthropology, Northwestern University, Evanston, Illinois, USA
- Program in Child and Brain Development, CIFAR, Toronto, Ontario, Canada
| | - Christopher W Kuzawa
- Department of Anthropology and Institute for Policy Research, Northwestern University, Evanston, IL 60208, USA
| | - Daniel W Belsky
- Butler Columbia Aging Center, Columbia University Mailman School of Public Health, New York, NY, USA
- Department of Epidemiology, Columbia University Mailman School of Public Health, New York, NY, USA
| | - Michael S Kobor
- BC Children's Hospital Research Institute, 950 West 28th Avenue, Vancouver, BC, V5Z 4H4, Canada
- Department of Medical Genetics, Faculty of Medicine, University of British Columbia, Vancouver, BC, V6T 1Z3, Canada
- Program in Child and Brain Development, CIFAR, Toronto, Ontario, Canada
- The Edwin S.H. Leong UBC Healthy Aging Chair-A UBC President's Excellence Chair, University of British Columbia, Canada
| |
Collapse
|
2
|
Merrill SM, Hogan C, Bozack AK, Cardenas A, Comer JS, Bagner DM, Highlander A, Parent J. Telehealth Parenting Program and Salivary Epigenetic Biomarkers in Preschool Children With Developmental Delay: NIMHD Social Epigenomics Program. JAMA Netw Open 2024; 7:e2424815. [PMID: 39073812 PMCID: PMC11287424 DOI: 10.1001/jamanetworkopen.2024.24815] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/15/2023] [Accepted: 05/30/2024] [Indexed: 07/30/2024] Open
Abstract
Importance Children with developmental delays are at a heightened risk of experiencing mental health challenges, and this risk is exacerbated among racially minoritized children who face disproportionate adversity. Understanding the impact of parenting interventions on biological markers associated with these risks is crucial for mitigating long-term health disparities. Objective To examine the effect of 20 weeks of an internet-based parent-child interaction training (iPCIT) program on biomarkers associated with aging and chronic inflammation among preschoolers with developmental delay at 12-month follow-up. Design, Setting, and Participants An observational secondary analysis of data from a randomized clinical trial conducted from March 17, 2016, to December 15, 2020, to assess changes in salivary DNA methylation (DNAm)-derived biomarkers following iPCIT intervention. Participants were recruited from 3 Part C early intervention sites in a large southeastern US city. Eligible participants included children recruited within 3 months of their third birthday who had a Child Behavior Checklist Externalizing Problems T score greater than 60 and provided saliva in at least 1 study wave. Data analysis was conducted May 2023 to April 2024. Intervention Participants received either iPCIT (a telehealth therapeutic intervention focused on enhancing the parent-child relationship and addressing behavioral challenges in young children) or referrals as usual. Main Outcomes and Measures DNAm at the 12-month follow-up was assessed using the Infinium HumanMethylationEPIC Bead Chip Assay to derive biomarkers DunedinPACE, C-reactive protein (CRP), and interleukin-6 (IL-6). Analyses were intent-to-treat and used path analysis. Results A total of 71 children (mean [SD] age, 36.27 [0.61] months 51 male [71.8%] and 20 female [28.2%]) were analyzed, of whom 34 received iPCIT and 37 received referrals as usual. The iPCIT group had a slower pace of aging (β = 0.26; 95% CI, 0.06 to 0.50; P = .03) and less DNAm-derived CRP (β = 0.27; 95% CI, 0.05 to 0.49; P = .01) relative to the control condition at the 12-month follow-up. These associations remained significant after accounting for baseline DNAm score, child demographics, and symptom severity, and were independent of predicted buccal epithelial cell proportion for both DunedinPACE and CRP. There was no association with DNAm-derived IL-6 (β = 0.14; 95% CI, -0.08 to 0.36; P = .21). Conclusions and Relevance In this study of a parenting intervention, iPCIT, the association of intervention with decreased molecular markers of inflammation and biological aging suggests their potential to modify aspects of the biological embedding of stress. Understanding the systemic biological impact of such interventions offers insights into addressing health disparities and promoting resilience among vulnerable populations. Trial Registration ClinicalTrials.gov Identifier: NCT03260816.
Collapse
Affiliation(s)
- Sarah M. Merrill
- Department of Psychiatry and Human Behavior, Warren Alpert Medical School, Brown University, Providence, Rhode Island
| | - Christina Hogan
- Department of Psychological and Brain Sciences, University of Massachusetts, Amherst
| | - Anne K. Bozack
- Department of Epidemiology and Population Health, School of Medicine, Stanford University, Stanford, California
| | - Andres Cardenas
- Department of Epidemiology and Population Health, School of Medicine, Stanford University, Stanford, California
- Department of Pediatrics, School of Medicine, Stanford University, Stanford, California
| | | | - Daniel M. Bagner
- Department of Psychology, Florida International University, Miami
| | - April Highlander
- Department of Psychiatry and Human Behavior, Warren Alpert Medical School, Brown University, Providence, Rhode Island
| | - Justin Parent
- Department of Psychiatry and Human Behavior, Warren Alpert Medical School, Brown University, Providence, Rhode Island
- Department of Psychology, Florida International University, Miami
- Department of Psychology, University of Rhode Island, Kingston
| |
Collapse
|
3
|
Eulalio T, Sun MW, Gevaert O, Greicius MD, Montine TJ, Nachun D, Montgomery SB. regionalpcs: improved discovery of DNA methylation associations with complex traits. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.05.01.590171. [PMID: 38746367 PMCID: PMC11092597 DOI: 10.1101/2024.05.01.590171] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/16/2024]
Abstract
We have developed the regional principal components (rPCs) method, a novel approach for summarizing gene-level methylation. rPCs address the challenge of deciphering complex epigenetic mechanisms in diseases like Alzheimer's disease (AD). In contrast to traditional averaging, rPCs leverage principal components analysis to capture complex methylation patterns across gene regions. Our method demonstrated a 54% improvement in sensitivity over averaging in simulations, offering a robust framework for identifying subtle epigenetic variations. Applying rPCs to the AD brain methylation data in ROSMAP, combined with cell type deconvolution, we uncovered 838 differentially methylated genes associated with neuritic plaque burden-significantly outperforming conventional methods. Integrating methylation quantitative trait loci (meQTL) with genome-wide association studies (GWAS) identified 17 genes with potential causal roles in AD, including MS4A4A and PICALM. Our approach is available in the Bioconductor package regionalpcs, opening avenues for research and facilitating a deeper understanding of the epigenetic landscape in complex diseases.
Collapse
Affiliation(s)
- Tiffany Eulalio
- Department of Biomedical Data Science, Stanford University, Stanford, CA, 94305, USA
| | - Min Woo Sun
- Department of Biomedical Data Science, Stanford University, Stanford, CA, 94305, USA
| | - Olivier Gevaert
- Department of Biomedical Data Science, Stanford University, Stanford, CA, 94305, USA
| | - Michael D Greicius
- Department of Neurology & Neurological Sciences, Stanford University, Stanford, CA, 94305, USA
| | - Thomas J Montine
- Department of Pathology, Stanford University, Stanford, CA, 94305, USA
| | - Daniel Nachun
- Department of Pathology, Stanford University, Stanford, CA, 94305, USA
| | | |
Collapse
|
4
|
Lee A, Thuras P, Baller J, Jiao C, Guo B, Erbes CR, Polusny MA, Liu C, Wu B, Lim KO, Bishop JR. Serotonin Transporter (SLC6A4) and FK506-Binding Protein 5 (FKBP5) Genotype and Methylation Relationships with Response to Meditation in Veterans with PTSD. Mol Neurobiol 2024:10.1007/s12035-024-04096-6. [PMID: 38671329 DOI: 10.1007/s12035-024-04096-6] [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: 11/21/2022] [Accepted: 03/04/2024] [Indexed: 04/28/2024]
Abstract
Meditation-based interventions are novel and effective non-pharmacologic treatments for veterans with PTSD. We examined relationships between treatment response, early life trauma exposure, DNA polymorphisms, and methylation in the serotonin transporter (SLC6A4) and FK506-binding protein 5 (FKBP5) genes. DNA samples and clinical outcomes were examined in 72 veterans with PTSD who received meditation-based therapy in two separate studies of mindfulness-based stress reduction (MBSR) and Transcendental Meditation (TM). The PTSD Checklist was administered to assess symptoms at baseline and after 9 weeks of meditation intervention. We examined the SLC6A4 promoter (5HTTLPR_L/S insertion/deletion + rs25531_A/G) polymorphisms according to previously defined gene expression groups, and the FKBP5 variant rs1360780 previously associated with PTSD disease risk. Methylation for CpG sites of SLC6A4 (28 sites) and FKBP5 (45 sites) genes was quantified in DNA samples collected before and after treatment. The 5HTTLPR LALA high expression genotype was associated with greater symptom improvement in participants exposed to early life trauma (p = 0.015). Separately, pre to post-treatment change of DNA methylation in a group of nine FKBP5 CpG sites was associated with greater symptom improvement (OR = 2.8, 95% CI 1.1-7.1, p = 0.027). These findings build on a wealth of existing knowledge regarding epigenetic and genetic relationships with PTSD disease risk to highlight the potential importance of SLC6A4 and FKBP5 for treatment mechanisms and as biomarkers of symptom improvement.
Collapse
Affiliation(s)
- Adam Lee
- Department of Experimental and Clinical Pharmacology, University of Minnesota College of Pharmacy, Room 7-115 Weaver-Densford Hall, 308 Harvard St SE, Minneapolis, MN, 55455, USA
| | - Paul Thuras
- Department of Psychiatry and Behavioral Sciences, University of Minnesota Medical School, Minneapolis, MN, USA
- Minneapolis Veterans Affairs Health Care System, Minneapolis, MN, USA
| | - Joshua Baller
- Minnesota Supercomputing Institute, University of Minnesota, Minneapolis, MN, USA
| | - Chuan Jiao
- Department of Psychiatry, State University of New York Upstate Medical University, Syracuse, NY, USA
- Institute of Psychiatry and Neuroscience of Paris (IPNP), INSERM U1266, Team Krebs, Université Paris Cité, 75014, Paris, France
| | - Bin Guo
- Division of Biostatistics, University of Minnesota, Minneapolis, MN, USA
| | - Christopher R Erbes
- Department of Psychiatry and Behavioral Sciences, University of Minnesota Medical School, Minneapolis, MN, USA
- Minneapolis Veterans Affairs Health Care System, Minneapolis, MN, USA
- Center for Care Delivery and Outcomes Research, Minneapolis Veterans Affairs Health Care System, Minneapolis, MN, USA
| | - Melissa A Polusny
- Department of Psychiatry and Behavioral Sciences, University of Minnesota Medical School, Minneapolis, MN, USA
- Minneapolis Veterans Affairs Health Care System, Minneapolis, MN, USA
- Center for Care Delivery and Outcomes Research, Minneapolis Veterans Affairs Health Care System, Minneapolis, MN, USA
| | - Chunyu Liu
- Department of Psychiatry, State University of New York Upstate Medical University, Syracuse, NY, USA
| | - Baolin Wu
- Department of Epidemiology and Biostatistics, Program in Public Health, University of California-Irvine, Irvine, CA, USA
| | - Kelvin O Lim
- Department of Psychiatry and Behavioral Sciences, University of Minnesota Medical School, Minneapolis, MN, USA
- Minneapolis Veterans Affairs Health Care System, Minneapolis, MN, USA
- Geriatric Research, Education, and Clinical Center, Minneapolis VA Health Care System, Minneapolis, MN, USA
| | - Jeffrey R Bishop
- Department of Experimental and Clinical Pharmacology, University of Minnesota College of Pharmacy, Room 7-115 Weaver-Densford Hall, 308 Harvard St SE, Minneapolis, MN, 55455, USA.
- Department of Psychiatry and Behavioral Sciences, University of Minnesota Medical School, Minneapolis, MN, USA.
| |
Collapse
|
5
|
Pett L, Li Z, Abrishamcar S, Hodge K, Everson T, Christensen G, Gearing M, Kobor MS, Konwar C, MacIsaac JL, Dever K, Wingo AP, Levey A, Lah JJ, Wingo TS, Hüls A. The association between neighborhood deprivation and DNA methylation in an autopsy cohort. Aging (Albany NY) 2024; 16:6694-6716. [PMID: 38663907 PMCID: PMC11087100 DOI: 10.18632/aging.205764] [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: 09/01/2023] [Accepted: 03/18/2024] [Indexed: 05/08/2024]
Abstract
Previous research has found that living in a disadvantaged neighborhood is associated with poor health outcomes. Living in disadvantaged neighborhoods may alter inflammation and immune response in the body, which could be reflected in epigenetic mechanisms such as DNA methylation (DNAm). We used robust linear regression models to conduct an epigenome-wide association study examining the association between neighborhood deprivation (Area Deprivation Index; ADI), and DNAm in brain tissue from 159 donors enrolled in the Emory Goizueta Alzheimer's Disease Research Center (Georgia, USA). We found one CpG site (cg26514961, gene PLXNC1) significantly associated with ADI after controlling for covariates and multiple testing (p-value=5.0e-8). Effect modification by APOE ε4 was statistically significant for the top ten CpG sites from the EWAS of ADI, indicating that the observed associations between ADI and DNAm were mainly driven by donors who carried at least one APOE ε4 allele. Four of the top ten CpG sites showed a significant concordance between brain tissue and tissues that are easily accessible in living individuals (blood, buccal cells, saliva), including DNAm in cg26514961 (PLXNC1). Our study identified one CpG site (cg26514961, PLXNC1 gene) that was significantly associated with neighborhood deprivation in brain tissue. PLXNC1 is related to immune response, which may be one biological pathway how neighborhood conditions affect health. The concordance between brain and other tissues for our top CpG sites could make them potential candidates for biomarkers in living individuals.
Collapse
Affiliation(s)
- Lindsay Pett
- Department of Epidemiology, Rollins School of Public Health, Emory University, Atlanta, GA 30322, USA
| | - Zhenjiang Li
- Gangarosa Department of Environmental Health, Rollins School of Public Health, Emory University, Atlanta, GA 30322, USA
| | - Sarina Abrishamcar
- Department of Epidemiology, Rollins School of Public Health, Emory University, Atlanta, GA 30322, USA
| | - Kenyaita Hodge
- Gangarosa Department of Environmental Health, Rollins School of Public Health, Emory University, Atlanta, GA 30322, USA
| | - Todd Everson
- Department of Epidemiology, Rollins School of Public Health, Emory University, Atlanta, GA 30322, USA
- Gangarosa Department of Environmental Health, Rollins School of Public Health, Emory University, Atlanta, GA 30322, USA
| | - Grace Christensen
- Department of Epidemiology, Rollins School of Public Health, Emory University, Atlanta, GA 30322, USA
| | - Marla Gearing
- Department of Pathology and Laboratory Medicine, Emory University, Atlanta, GA 30322, USA
- Department of Neurology, Emory University School of Medicine, Atlanta, GA 30322, USA
| | - Michael S. Kobor
- Department of Medical Genetics, University of British Columbia, Vancouver, BC, Canada
- BC Children’s Hospital Research Institute, Vancouver, BC, Canada
- Centre for Molecular Medicine and Therapeutics, Vancouver, BC, Canada
| | - Chaini Konwar
- Department of Medical Genetics, University of British Columbia, Vancouver, BC, Canada
- BC Children’s Hospital Research Institute, Vancouver, BC, Canada
| | - Julia L. MacIsaac
- Department of Medical Genetics, University of British Columbia, Vancouver, BC, Canada
- BC Children’s Hospital Research Institute, Vancouver, BC, Canada
- Centre for Molecular Medicine and Therapeutics, Vancouver, BC, Canada
| | - Kristy Dever
- Department of Medical Genetics, University of British Columbia, Vancouver, BC, Canada
- BC Children’s Hospital Research Institute, Vancouver, BC, Canada
- Centre for Molecular Medicine and Therapeutics, Vancouver, BC, Canada
| | - Aliza P. Wingo
- Division of Mental Health, Atlanta VA Medical Center, Decatur, GA 30033, USA
- Department of Psychiatry, Emory University School of Medicine, Atlanta, GA 30322, USA
| | - Allan Levey
- Department of Neurology, Emory University School of Medicine, Atlanta, GA 30322, USA
| | - James J. Lah
- Department of Neurology, Emory University School of Medicine, Atlanta, GA 30322, USA
| | - Thomas S. Wingo
- Department of Neurology, Emory University School of Medicine, Atlanta, GA 30322, USA
- Department of Human Genetics, Emory University, Atlanta, GA 30322, USA
| | - Anke Hüls
- Department of Epidemiology, Rollins School of Public Health, Emory University, Atlanta, GA 30322, USA
- Gangarosa Department of Environmental Health, Rollins School of Public Health, Emory University, Atlanta, GA 30322, USA
| |
Collapse
|
6
|
Nazer N, Sepehri MH, Mohammadzade H, Mehrmohamadi M. A novel approach toward optimal workflow selection for DNA methylation biomarker discovery. BMC Bioinformatics 2024; 25:37. [PMID: 38262949 PMCID: PMC10804576 DOI: 10.1186/s12859-024-05658-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/06/2023] [Accepted: 01/15/2024] [Indexed: 01/25/2024] Open
Abstract
DNA methylation is a major epigenetic modification involved in many physiological processes. Normal methylation patterns are disrupted in many diseases and methylation-based biomarkers have shown promise in several contexts. Marker discovery typically involves the analysis of publicly available DNA methylation data from high-throughput assays. Numerous methods for identification of differentially methylated biomarkers have been developed, making the need for best practices guidelines and context-specific analyses workflows exceedingly high. To this end, here we propose TASA, a novel method for simulating methylation array data in various scenarios. We then comprehensively assess different data analysis workflows using real and simulated data and suggest optimal start-to-finish analysis workflows. Our study demonstrates that the choice of analysis pipeline for DNA methylation-based marker discovery is crucial and different across different contexts.
Collapse
Affiliation(s)
- Naghme Nazer
- Department of Electrical Engineering, Sharif University of Technology, Tehran, Iran
| | | | - Hoda Mohammadzade
- Department of Electrical Engineering, Sharif University of Technology, Tehran, Iran
| | - Mahya Mehrmohamadi
- Department of Biotechnology, College of Science, University of Tehran, Tehran, Iran.
| |
Collapse
|
7
|
Coltell O, Asensio EM, Sorlí JV, Ortega-Azorín C, Fernández-Carrión R, Pascual EC, Barragán R, González JI, Estruch R, Alzate JF, Pérez-Fidalgo A, Portolés O, Ordovas JM, Corella D. Associations between the New DNA-Methylation-Based Telomere Length Estimator, the Mediterranean Diet and Genetics in a Spanish Population at High Cardiovascular Risk. Antioxidants (Basel) 2023; 12:2004. [PMID: 38001857 PMCID: PMC10669035 DOI: 10.3390/antiox12112004] [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: 10/26/2023] [Revised: 11/10/2023] [Accepted: 11/14/2023] [Indexed: 11/26/2023] Open
Abstract
Biological aging is a relevant risk factor for chronic diseases, and several indicators for measuring this factor have been proposed, with telomere length (TL) among the most studied. Oxidative stress may regulate telomere shortening, which is implicated in the increased risk. Using a novel estimator for TL, we examined whether adherence to the Mediterranean diet (MedDiet), a highly antioxidant-rich dietary pattern, is associated with longer TL. We determined TL using DNA methylation algorithms (DNAmTL) in 414 subjects at high cardiovascular risk from Spain. Adherence to the MedDiet was assessed by a validated score, and genetic variants in candidate genes and at the genome-wide level were analyzed. We observed several significant associations (p < 0.05) between DNAmTL and candidate genes (TERT, TERF2, RTEL1, and DCAF4), contributing to the validity of DNAmTL as a biomarker in this population. Higher adherence to the MedDiet was associated with lower odds of having a shorter TL in the whole sample (OR = 0.93; 95% CI: 0.85-0.99; p = 0.049 after fully multivariate adjustment). Nevertheless, this association was stronger in women than in men. Likewise, in women, we observed a direct association between adherence to the MedDiet score and DNAmTL as a continuous variable (beta = 0.015; SE: 0.005; p = 0.003), indicating that a one-point increase in adherence was related to an average increase of 0.015 ± 0.005 kb in TL. Upon examination of specific dietary items within the global score, we found that fruits, fish, "sofrito", and whole grains exhibited the strongest associations in women. The novel score combining these items was significantly associated in the whole population. In the genome-wide association study (GWAS), we identified ten polymorphisms at the suggestive level of significance (p < 1 × 10-5) for DNAmTL (intergenics, in the IQSEC1, NCAPG2, and ABI3BP genes) and detected some gene-MedDiet modulations on DNAmTL. As this is the first study analyzing the DNAmTL estimator, genetics, and modulation by the MedDiet, more studies are needed to confirm these findings.
Collapse
Affiliation(s)
- Oscar Coltell
- Department of Computer Languages and Systems, Universitat Jaume I, 12071 Castellón, Spain
- CIBER Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, 28029 Madrid, Spain; (E.M.A.); (C.O.-A.); (J.I.G.); (R.E.)
| | - Eva M. Asensio
- CIBER Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, 28029 Madrid, Spain; (E.M.A.); (C.O.-A.); (J.I.G.); (R.E.)
- Department of Preventive Medicine and Public Health, School of Medicine, University of Valencia, 46010 Valencia, Spain
| | - José V. Sorlí
- CIBER Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, 28029 Madrid, Spain; (E.M.A.); (C.O.-A.); (J.I.G.); (R.E.)
- Department of Preventive Medicine and Public Health, School of Medicine, University of Valencia, 46010 Valencia, Spain
| | - Carolina Ortega-Azorín
- CIBER Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, 28029 Madrid, Spain; (E.M.A.); (C.O.-A.); (J.I.G.); (R.E.)
- Department of Preventive Medicine and Public Health, School of Medicine, University of Valencia, 46010 Valencia, Spain
| | - Rebeca Fernández-Carrión
- CIBER Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, 28029 Madrid, Spain; (E.M.A.); (C.O.-A.); (J.I.G.); (R.E.)
- Department of Preventive Medicine and Public Health, School of Medicine, University of Valencia, 46010 Valencia, Spain
| | - Eva C. Pascual
- Department of Preventive Medicine and Public Health, School of Medicine, University of Valencia, 46010 Valencia, Spain
| | - Rocío Barragán
- CIBER Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, 28029 Madrid, Spain; (E.M.A.); (C.O.-A.); (J.I.G.); (R.E.)
- Department of Preventive Medicine and Public Health, School of Medicine, University of Valencia, 46010 Valencia, Spain
| | - José I. González
- CIBER Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, 28029 Madrid, Spain; (E.M.A.); (C.O.-A.); (J.I.G.); (R.E.)
- Department of Preventive Medicine and Public Health, School of Medicine, University of Valencia, 46010 Valencia, Spain
| | - Ramon Estruch
- CIBER Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, 28029 Madrid, Spain; (E.M.A.); (C.O.-A.); (J.I.G.); (R.E.)
- Department of Internal Medicine, Institut d’Investigacions Biomèdiques August Pi Sunyer (IDIBAPS), Hospital Clinic, University of Barcelona, 08036 Barcelona, Spain
| | - Juan F. Alzate
- Departamento de Microbiología y Parasitología, Facultad de Medicina, Universidad de Antioquia, Medellín 050010, Colombia
- Facultad de Medicina, Centro Nacional de Secuenciación Genómica—CNSG, Sede de Investigación Universitaria—SIU, Universidad de Antioquia, Medellín 050010, Colombia
| | - Alejandro Pérez-Fidalgo
- Department of Medical Oncology, University Clinic Hospital of Valencia, 46010 Valencia, Spain; (A.P.-F.)
- Biomedical Research Networking Centre on Cancer (CIBERONC), Health Institute Carlos III, 28029 Madrid, Spain
- INCLIVA Biomedical Research Institute, 46010 Valencia, Spain
| | - Olga Portolés
- CIBER Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, 28029 Madrid, Spain; (E.M.A.); (C.O.-A.); (J.I.G.); (R.E.)
- Department of Preventive Medicine and Public Health, School of Medicine, University of Valencia, 46010 Valencia, Spain
| | - Jose M. Ordovas
- Department of Medical Oncology, University Clinic Hospital of Valencia, 46010 Valencia, Spain; (A.P.-F.)
- Nutrition and Genomics, JM-USDA Human Nutrition Research Center on Aging at Tufts University, Boston, MA 02111, USA
- Nutritional Control of the Epigenome Group, Precision Nutrition and Obesity Program, IMDEA Food, UAM + CSIC, 28049 Madrid, Spain
| | - Dolores Corella
- CIBER Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, 28029 Madrid, Spain; (E.M.A.); (C.O.-A.); (J.I.G.); (R.E.)
- Department of Preventive Medicine and Public Health, School of Medicine, University of Valencia, 46010 Valencia, Spain
| |
Collapse
|
8
|
Khan A, Inkster AM, Peñaherrera MS, King S, Kildea S, Oberlander TF, Olson DM, Vaillancourt C, Brain U, Beraldo EO, Beristain AG, Clifton VL, Del Gobbo GF, Lam WL, Metz GAS, Ng JWY, Price EM, Schuetz JM, Yuan V, Portales-Casamar É, Robinson WP. The application of epiphenotyping approaches to DNA methylation array studies of the human placenta. Epigenetics Chromatin 2023; 16:37. [PMID: 37794499 PMCID: PMC10548571 DOI: 10.1186/s13072-023-00507-5] [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: 06/15/2023] [Accepted: 09/15/2023] [Indexed: 10/06/2023] Open
Abstract
BACKGROUND Genome-wide DNA methylation (DNAme) profiling of the placenta with Illumina Infinium Methylation bead arrays is often used to explore the connections between in utero exposures, placental pathology, and fetal development. However, many technical and biological factors can lead to signals of DNAme variation between samples and between cohorts, and understanding and accounting for these factors is essential to ensure meaningful and replicable data analysis. Recently, "epiphenotyping" approaches have been developed whereby DNAme data can be used to impute information about phenotypic variables such as gestational age, sex, cell composition, and ancestry. These epiphenotypes offer avenues to compare phenotypic data across cohorts, and to understand how phenotypic variables relate to DNAme variability. However, the relationships between placental epiphenotyping variables and other technical and biological variables, and their application to downstream epigenome analyses, have not been well studied. RESULTS Using DNAme data from 204 placentas across three cohorts, we applied the PlaNET R package to estimate epiphenotypes gestational age, ancestry, and cell composition in these samples. PlaNET ancestry estimates were highly correlated with independent polymorphic ancestry-informative markers, and epigenetic gestational age, on average, was estimated within 4 days of reported gestational age, underscoring the accuracy of these tools. Cell composition estimates varied both within and between cohorts, as well as over very long placental processing times. Interestingly, the ratio of cytotrophoblast to syncytiotrophoblast proportion decreased with increasing gestational age, and differed slightly by both maternal ethnicity (lower in white vs. non-white) and genetic ancestry (lower in higher probability European ancestry). The cohort of origin and cytotrophoblast proportion were the largest drivers of DNAme variation in this dataset, based on their associations with the first principal component. CONCLUSIONS This work confirms that cohort, array (technical) batch, cell type proportion, self-reported ethnicity, genetic ancestry, and biological sex are important variables to consider in any analyses of Illumina DNAme data. We further demonstrate the specific utility of epiphenotyping tools developed for use with placental DNAme data, and show that these variables (i) provide an independent check of clinically obtained data and (ii) provide a robust approach to compare variables across different datasets. Finally, we present a general framework for the processing and analysis of placental DNAme data, integrating the epiphenotype variables discussed here.
Collapse
Affiliation(s)
- A Khan
- BC Children's Hospital Research Institute (BCCHR), 950 W 28th Ave, Vancouver, BC, V5Z 4H4, Canada
- Department of Medical Genetics, University of British Columbia, Vancouver, BC, V6H 3N1, Canada
- Department of Medical Biophysics, University of Toronto, Toronto, ON, M5G 1L7, Canada
- Princess Margaret Cancer Center, Toronto, ON, M5G 2C4, Canada
| | - A M Inkster
- BC Children's Hospital Research Institute (BCCHR), 950 W 28th Ave, Vancouver, BC, V5Z 4H4, Canada
- Department of Medical Genetics, University of British Columbia, Vancouver, BC, V6H 3N1, Canada
| | - M S Peñaherrera
- BC Children's Hospital Research Institute (BCCHR), 950 W 28th Ave, Vancouver, BC, V5Z 4H4, Canada
- Department of Medical Genetics, University of British Columbia, Vancouver, BC, V6H 3N1, Canada
| | - S King
- Department of Psychiatry, McGill University, Montreal, QC, H3A 1A1, Canada
- Psychosocial Research Division, Douglas Hospital Research Centre, Montreal, QC, H4H 1R3, Canada
| | - S Kildea
- Mater Research Institute, University of Queensland, Brisbane, QLD, 4101, Australia
- Molly Wardaguga Research Centre, Charles Darwin University, Brisbane, QLD, 4000, Australia
| | - T F Oberlander
- BC Children's Hospital Research Institute (BCCHR), 950 W 28th Ave, Vancouver, BC, V5Z 4H4, Canada
- School of Population and Public Health, University of British Columbia, Vancouver, BC, V6T 1Z3, Canada
- Department of Pediatrics, University of British Columbia, Vancouver, BC, V6H 3V4, Canada
| | - D M Olson
- Department of Obstetrics and Gynecology, University of Alberta, 220 HMRC, Edmonton, AB, T6G 2S2, Canada
| | - C Vaillancourt
- Centre Armand Frappier Santé Biotechnologie - INRS and University of Quebec Intersectorial Health Research Network, Laval, QC, H7V 1B7, Canada
| | - U Brain
- BC Children's Hospital Research Institute (BCCHR), 950 W 28th Ave, Vancouver, BC, V5Z 4H4, Canada
- School of Population and Public Health, University of British Columbia, Vancouver, BC, V6T 1Z3, Canada
- Department of Pediatrics, University of British Columbia, Vancouver, BC, V6H 3V4, Canada
| | - E O Beraldo
- BC Children's Hospital Research Institute (BCCHR), 950 W 28th Ave, Vancouver, BC, V5Z 4H4, Canada
- Department of Medical Genetics, University of British Columbia, Vancouver, BC, V6H 3N1, Canada
| | - A G Beristain
- BC Children's Hospital Research Institute (BCCHR), 950 W 28th Ave, Vancouver, BC, V5Z 4H4, Canada
- Department of Obstetrics & Gynecology, University of British Columbia, Vancouver, BC, V6T 1Z3, Canada
| | - V L Clifton
- Mater Research Institute, University of Queensland, Brisbane, QLD, 4101, Australia
- Faculty of Medicine, The University of Queensland, Herston, QLD, 4006, Australia
| | - G F Del Gobbo
- BC Children's Hospital Research Institute (BCCHR), 950 W 28th Ave, Vancouver, BC, V5Z 4H4, Canada
- Department of Medical Genetics, University of British Columbia, Vancouver, BC, V6H 3N1, Canada
- Children's Hospital of Eastern Ontario Research Institute, University of Ottawa, Ottawa, ON, K1H 5B2, Canada
| | - W L Lam
- British Columbia Cancer Research Centre, Vancouver, BC, V5Z 1L3, Canada
| | - G A S Metz
- Canadian Centre for Behavioural Neuroscience, Department of Neuroscience, University of Lethbridge, Lethbridge, AB, T1K 3M4, Canada
| | - J W Y Ng
- Faculty of Medicine, University of Calgary, Calgary, AB, T2N 4N1, Canada
| | - E M Price
- BC Children's Hospital Research Institute (BCCHR), 950 W 28th Ave, Vancouver, BC, V5Z 4H4, Canada
- Department of Medical Genetics, University of British Columbia, Vancouver, BC, V6H 3N1, Canada
- Children's Hospital of Eastern Ontario Research Institute, University of Ottawa, Ottawa, ON, K1H 5B2, Canada
| | - J M Schuetz
- BC Children's Hospital Research Institute (BCCHR), 950 W 28th Ave, Vancouver, BC, V5Z 4H4, Canada
- Department of Medical Genetics, University of British Columbia, Vancouver, BC, V6H 3N1, Canada
| | - V Yuan
- BC Children's Hospital Research Institute (BCCHR), 950 W 28th Ave, Vancouver, BC, V5Z 4H4, Canada
- Department of Medical Genetics, University of British Columbia, Vancouver, BC, V6H 3N1, Canada
| | - É Portales-Casamar
- BC Children's Hospital Research Institute (BCCHR), 950 W 28th Ave, Vancouver, BC, V5Z 4H4, Canada.
- Centre de Recherche du CHU Sainte-Justine, 3175 Côte-Sainte-Catherine Road, Montréal, QC, H3T 1C5, Canada.
| | - W P Robinson
- BC Children's Hospital Research Institute (BCCHR), 950 W 28th Ave, Vancouver, BC, V5Z 4H4, Canada.
- Department of Medical Genetics, University of British Columbia, Vancouver, BC, V6H 3N1, Canada.
| |
Collapse
|
9
|
Khan A, Inkster AM, Peñaherrera MS, King S, Kildea S, Oberlander TF, Olson DM, Vaillancourt C, Brain U, Beraldo EO, Beristain AG, Clifton VL, Del Gobbo GF, Lam WL, Metz GA, Ng JW, Price EM, Schuetz JM, Yuan V, Portales-Casamar É, Robinson WP. The application of epiphenotyping approaches to DNA methylation array studies of the human placenta. RESEARCH SQUARE 2023:rs.3.rs-3069705. [PMID: 37461679 PMCID: PMC10350117 DOI: 10.21203/rs.3.rs-3069705/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: 07/25/2023]
Abstract
Background : Genome-wide DNA methylation (DNAme) profiling of the placenta with Illumina Infinium Methylation bead arrays is often used to explore the connections between in utero exposures, placental pathology, and fetal development. However, many technical and biological factors can lead to signals of DNAme variation between samples and between cohorts, and understanding and accounting for these factors is essential to ensure meaningful and replicable data analysis. Recently, "epiphenotyping" approaches have been developed whereby DNAme data can be used to impute information about phenotypic variables such as gestational age, sex, cell composition, and ancestry. These epiphenotypes offer avenues to compare phenotypic data across cohorts, and to understand how phenotypic variables relate to DNAme variability. However, the relationships between placental epiphenotyping variables and other technical and biological variables, and their application to downstream epigenome analyses, have not been well studied. Results : Using DNAme data from 204 placentas across three cohorts, we applied the PlaNET R package to estimate epiphenotypes gestational age, ancestry, and cell composition in these samples. PlaNET ancestry estimates were highly correlated with independent polymorphic ancestry informative markers, and epigenetic gestational age, on average, was estimated within 4 days of reported gestational age, underscoring the accuracy of these tools. Cell composition estimates varied both within and between cohorts, but reassuringly were robust to placental processing time. Interestingly, the ratio of cytotrophoblast to syncytiotrophoblast proportion decreased with increasing gestational age, and differed slightly by both maternal ethnicity (lower in white vs. non-white) and genetic ancestry (lower in higher probability European ancestry). The cohort of origin and cytotrophoblast proportion were the largest drivers of DNAme variation in this dataset, based on their associations with the first principal component. Conclusions : This work confirms that cohort, array (technical) batch, cell type proportion, self-reported ethnicity, genetic ancestry, and biological sex are important variables to consider in any analyses of Illumina DNAme data. Further, we demonstrate that estimating epiphenotype variables from the DNAme data itself, when possible, provides both an independent check of clinically-obtained data and can provide a robust approach to compare variables across different datasets.
Collapse
Affiliation(s)
- Almas Khan
- BC Children's Hospital Research Institute (BCCHR)
| | | | | | | | | | | | | | - Cathy Vaillancourt
- Centre Armand Frappier Santé Biotechnologie - INRS and University of Quebec Intersectorial Health Research Network
| | - Ursula Brain
- BC Children's Hospital Research Institute (BCCHR)
| | | | | | | | | | - Wan L Lam
- British Columbia Cancer Research Centre
| | | | | | | | | | - Victor Yuan
- BC Children's Hospital Research Institute (BCCHR)
| | | | | |
Collapse
|
10
|
Fernández-Carrión R, Sorlí JV, Asensio EM, Pascual EC, Portolés O, Alvarez-Sala A, Francès F, Ramírez-Sabio JB, Pérez-Fidalgo A, Villamil LV, Tinahones FJ, Estruch R, Ordovas JM, Coltell O, Corella D. DNA-Methylation Signatures of Tobacco Smoking in a High Cardiovascular Risk Population: Modulation by the Mediterranean Diet. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2023; 20:3635. [PMID: 36834337 PMCID: PMC9964856 DOI: 10.3390/ijerph20043635] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 12/29/2022] [Revised: 02/15/2023] [Accepted: 02/16/2023] [Indexed: 06/18/2023]
Abstract
Biomarkers based on DNA methylation are relevant in the field of environmental health for precision health. Although tobacco smoking is one of the factors with a strong and consistent impact on DNA methylation, there are very few studies analyzing its methylation signature in southern European populations and none examining its modulation by the Mediterranean diet at the epigenome-wide level. We examined blood methylation smoking signatures on the EPIC 850 K array in this population (n = 414 high cardiovascular risk subjects). Epigenome-wide methylation studies (EWASs) were performed analyzing differential methylation CpG sites by smoking status (never, former, and current smokers) and the modulation by adherence to a Mediterranean diet score was explored. Gene-set enrichment analysis was performed for biological and functional interpretation. The predictive value of the top differentially methylated CpGs was analyzed using receiver operative curves. We characterized the DNA methylation signature of smoking in this Mediterranean population by identifying 46 differentially methylated CpGs at the EWAS level in the whole population. The strongest association was observed at the cg21566642 (p = 2.2 × 10-32) in the 2q37.1 region. We also detected other CpGs that have been consistently reported in prior research and discovered some novel differentially methylated CpG sites in subgroup analyses. In addition, we found distinct methylation profiles based on the adherence to the Mediterranean diet. Particularly, we obtained a significant interaction between smoking and diet modulating the cg5575921 methylation in the AHRR gene. In conclusion, we have characterized biomarkers of the methylation signature of tobacco smoking in this population, and suggest that the Mediterranean diet can increase methylation of certain hypomethylated sites.
Collapse
Affiliation(s)
- Rebeca Fernández-Carrión
- Department of Preventive Medicine and Public Health, School of Medicine, University of Valencia, 46010 Valencia, Spain
- CIBER Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, 28029 Madrid, Spain
| | - José V. Sorlí
- Department of Preventive Medicine and Public Health, School of Medicine, University of Valencia, 46010 Valencia, Spain
- CIBER Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, 28029 Madrid, Spain
| | - Eva M. Asensio
- Department of Preventive Medicine and Public Health, School of Medicine, University of Valencia, 46010 Valencia, Spain
- CIBER Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, 28029 Madrid, Spain
| | - Eva C. Pascual
- Department of Preventive Medicine and Public Health, School of Medicine, University of Valencia, 46010 Valencia, Spain
| | - Olga Portolés
- Department of Preventive Medicine and Public Health, School of Medicine, University of Valencia, 46010 Valencia, Spain
- CIBER Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, 28029 Madrid, Spain
| | - Andrea Alvarez-Sala
- Department of Preventive Medicine and Public Health, School of Medicine, University of Valencia, 46010 Valencia, Spain
| | - Francesc Francès
- Department of Preventive Medicine and Public Health, School of Medicine, University of Valencia, 46010 Valencia, Spain
- CIBER Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, 28029 Madrid, Spain
| | | | - Alejandro Pérez-Fidalgo
- Department of Medical Oncology, University Clinic Hospital of Valencia, 46010 Valencia, Spain
- Biomedical Research Networking Centre on Cancer (CIBERONC), Health Institute Carlos III, 28029 Madrid, Spain
- INCLIVA Biomedical Research Institute, 46010 Valencia, Spain
| | - Laura V. Villamil
- Department of Physiology, School of Medicine, University Antonio Nariño, Bogotá 111511, Colombia
| | - Francisco J. Tinahones
- CIBER Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, 28029 Madrid, Spain
- Department of Endocrinology and Nutrition, Virgen de la Victoria University Hospital, Instituto de Investigación Biomédica de Málaga (IBIMA), University of Málaga, 29590 Málaga, Spain
| | - Ramon Estruch
- CIBER Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, 28029 Madrid, Spain
- Department of Internal Medicine, Institut d’Investigacions Biomèdiques August Pi Sunyer (IDIBAPS), Hospital Clinic, University of Barcelona, 08036 Barcelona, Spain
| | - Jose M. Ordovas
- CIBER Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, 28029 Madrid, Spain
- Nutrition and Genomics Laboratory, JM-USDA Human Nutrition Research Center on Aging, Tufts University, Boston, MA 02111, USA
- Nutritional Control of the Epigenome Group, Precision Nutrition and Obesity Program, IMDEA Food, UAM + CSIC, 28049 Madrid, Spain
| | - Oscar Coltell
- CIBER Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, 28029 Madrid, Spain
- Department of Computer Languages and Systems, Universitat Jaume I, 12071 Castellón, Spain
| | - Dolores Corella
- Department of Preventive Medicine and Public Health, School of Medicine, University of Valencia, 46010 Valencia, Spain
- CIBER Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, 28029 Madrid, Spain
| |
Collapse
|
11
|
Dupont ME, Christiansen SN, Jacobsen SB, Kampmann ML, Olsen KB, Tfelt-Hansen J, Banner J, Morling N, Andersen JD. DNA quality evaluation of formalin-fixed paraffin-embedded heart tissue for DNA methylation array analysis. Sci Rep 2023; 13:2004. [PMID: 36737451 PMCID: PMC9898234 DOI: 10.1038/s41598-023-29120-y] [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: 11/10/2022] [Accepted: 01/31/2023] [Indexed: 02/05/2023] Open
Abstract
Archived formalin-fixed and paraffin-embedded (FFPE) heart tissue from autopsied individuals represents an important resource for investigating the DNA methylation of heart tissue of deceased individuals. The DNA quality of FFPE tissue from autopsies may be decreased, affecting the DNA methylation measurements. Therefore, inexpensive screening methods for estimating DNA quality are valuable. We investigated the correlation between the DNA quality of archived FFPE heart tissue examined with the Illumina Infinium HD FFPE QC assay (Infinium QC) and Thermo Fisher's Quantifiler Trio DNA Quantification kit (QuantifilerTrio), respectively, and the amount of usable DNA methylation data as measured by the probe detection rate (probe DR) obtained with the Illumina Infinium MethylationEPIC array. We observed a high correlation (r2 = 0.75; p < 10-11) between the QuantifilerTrio degradation index, DI, and the amount of usable DNA methylation data analysed with SeSAMe, whereas a much weaker correlation was observed between the Infinium QC and SeSAMe probe DR (r2 = 0.17; p < 0.05). Based on the results, QuantifilerTrio DI seems to predict the proportion of usable DNA methylation data analysed with the Illumina Infinium MethylationEPIC array and SeSAMe by a linear model: SeSAMe probe DR = 0.80-log10(DI) × 0.25.
Collapse
Affiliation(s)
- Mikkel E Dupont
- Section of Forensic Genetics, Department of Forensic Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark.
| | - Steffan N Christiansen
- Section of Forensic Genetics, Department of Forensic Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Stine B Jacobsen
- Section of Forensic Genetics, Department of Forensic Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Marie-Louise Kampmann
- Section of Forensic Genetics, Department of Forensic Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Kristine B Olsen
- Section of Forensic Pathology, Department of Forensic Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Jacob Tfelt-Hansen
- Section of Forensic Genetics, Department of Forensic Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark.,Department of Cardiology, Rigshospitalet, Copenhagen University Hospital, Copenhagen, Denmark
| | - Jytte Banner
- Section of Forensic Pathology, Department of Forensic Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Niels Morling
- Section of Forensic Genetics, Department of Forensic Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark.,Department of Mathematical Sciences, Aalborg University, Aalborg, Denmark
| | - Jeppe D Andersen
- Section of Forensic Genetics, Department of Forensic Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| |
Collapse
|
12
|
Inkster AM, Wong MT, Matthews AM, Brown CJ, Robinson WP. Who's afraid of the X? Incorporating the X and Y chromosomes into the analysis of DNA methylation array data. Epigenetics Chromatin 2023; 16:1. [PMID: 36609459 PMCID: PMC9825011 DOI: 10.1186/s13072-022-00477-0] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/02/2022] [Accepted: 12/27/2022] [Indexed: 01/09/2023] Open
Abstract
BACKGROUND Many human disease phenotypes manifest differently by sex, making the development of methods for incorporating X and Y-chromosome data into analyses vital. Unfortunately, X and Y chromosome data are frequently excluded from large-scale analyses of the human genome and epigenome due to analytical complexity associated with sex chromosome dosage differences between XX and XY individuals, and the impact of X-chromosome inactivation (XCI) on the epigenome. As such, little attention has been given to considering the methods by which sex chromosome data may be included in analyses of DNA methylation (DNAme) array data. RESULTS With Illumina Infinium HumanMethylation450 DNAme array data from 634 placental samples, we investigated the effects of probe filtering, normalization, and batch correction on DNAme data from the X and Y chromosomes. Processing steps were evaluated in both mixed-sex and sex-stratified subsets of the analysis cohort to identify whether including both sexes impacted processing results. We found that identification of probes that have a high detection p-value, or that are non-variable, should be performed in sex-stratified data subsets to avoid over- and under-estimation of the quantity of probes eligible for removal, respectively. All normalization techniques investigated returned X and Y DNAme data that were highly correlated with the raw data from the same samples. We found no difference in batch correction results after application to mixed-sex or sex-stratified cohorts. Additionally, we identify two analytical methods suitable for XY chromosome data, the choice between which should be guided by the research question of interest, and we performed a proof-of-concept analysis studying differential DNAme on the X and Y chromosome in the context of placental acute chorioamnionitis. Finally, we provide an annotation of probe types that may be desirable to filter in X and Y chromosome analyses, including probes in repetitive elements, the X-transposed region, and cancer-testis gene promoters. CONCLUSION While there may be no single "best" approach for analyzing DNAme array data from the X and Y chromosome, analysts must consider key factors during processing and analysis of sex chromosome data to accommodate the underlying biology of these chromosomes, and the technical limitations of DNA methylation arrays.
Collapse
Affiliation(s)
- Amy M Inkster
- BC Children's Hospital Research Institute, 950 W 28th Ave, Vancouver, BC, V6H 3N1, Canada.
- Department of Medical Genetics, University of British Columbia, 4500 Oak St, Vancouver, V6H 3N1, Canada.
| | - Martin T Wong
- Department of Medical Genetics, University of British Columbia, 4500 Oak St, Vancouver, V6H 3N1, Canada
| | - Allison M Matthews
- BC Children's Hospital Research Institute, 950 W 28th Ave, Vancouver, BC, V6H 3N1, Canada
- Department of Pathology & Laboratory Medicine, University of British Columbia, 2211 Wesbrook Mall, Vancouver, V6T 1Z7, Canada
| | - Carolyn J Brown
- Department of Medical Genetics, University of British Columbia, 4500 Oak St, Vancouver, V6H 3N1, Canada
| | - Wendy P Robinson
- BC Children's Hospital Research Institute, 950 W 28th Ave, Vancouver, BC, V6H 3N1, Canada
- Department of Medical Genetics, University of British Columbia, 4500 Oak St, Vancouver, V6H 3N1, Canada
| |
Collapse
|
13
|
Lang AL, Eulalio T, Fox E, Yakabi K, Bukhari SA, Kawas CH, Corrada MM, Montgomery SB, Heppner FL, Capper D, Nachun D, Montine TJ. Methylation differences in Alzheimer's disease neuropathologic change in the aged human brain. Acta Neuropathol Commun 2022; 10:174. [PMID: 36447297 PMCID: PMC9710143 DOI: 10.1186/s40478-022-01470-0] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/23/2022] [Accepted: 10/24/2022] [Indexed: 12/05/2022] Open
Abstract
Alzheimer's disease (AD) is the most common cause of dementia with advancing age as its strongest risk factor. AD neuropathologic change (ADNC) is known to be associated with numerous DNA methylation changes in the human brain, but the oldest old (> 90 years) have so far been underrepresented in epigenetic studies of ADNC. Our study participants were individuals aged over 90 years (n = 47) from The 90+ Study. We analyzed DNA methylation from bulk samples in eight precisely dissected regions of the human brain: middle frontal gyrus, cingulate gyrus, entorhinal cortex, dentate gyrus, CA1, substantia nigra, locus coeruleus and cerebellar cortex. We deconvolved our bulk data into cell-type-specific (CTS) signals using computational methods. CTS methylation differences were analyzed across different levels of ADNC. The highest amount of ADNC related methylation differences was found in the dentate gyrus, a region that has so far been underrepresented in large scale multi-omic studies. In neurons of the dentate gyrus, DNA methylation significantly differed with increased burden of amyloid beta (Aβ) plaques at 5897 promoter regions of protein-coding genes. Amongst these, higher Aβ plaque burden was associated with promoter hypomethylation of the Presenilin enhancer 2 (PEN-2) gene, one of the rate limiting genes in the formation of gamma-secretase, a multicomponent complex that is responsible in part for the endoproteolytic cleavage of amyloid precursor protein into Aβ peptides. In addition to novel ADNC related DNA methylation changes, we present the most detailed array-based methylation survey of the old aged human brain to date. Our open-sourced dataset can serve as a brain region reference panel for future studies and help advance research in aging and neurodegenerative diseases.
Collapse
Affiliation(s)
- Anna-Lena Lang
- Department of Neuropathology, Charité–Universitätsmedizin Berlin, Corporate member of Freie Universität Berlin and Humboldt-Universität Zu Berlin, Charitéplatz 1, 10117 Berlin, Germany
| | - Tiffany Eulalio
- Department of Biomedical Data Science, Stanford University, Stanford, CA 94305 USA
| | - Eddie Fox
- Department of Pathology, Stanford University, 300 Pasteur Drive, Stanford, CA 94305 USA
| | - Koya Yakabi
- Department of Pathology, Stanford University, 300 Pasteur Drive, Stanford, CA 94305 USA
| | - Syed A. Bukhari
- Department of Pathology, Stanford University, 300 Pasteur Drive, Stanford, CA 94305 USA
| | - Claudia H. Kawas
- Department of Neurology, University of California Irvine, Orange, CA 92868-4280 USA
- Department of Neurobiology and Behavior, University of California, Irvine, CA 92697 USA
| | - Maria M. Corrada
- Department of Neurology, University of California Irvine, Orange, CA 92868-4280 USA
- Department of Epidemiology, University of California, Irvine, CA 92617 USA
| | - Stephen B. Montgomery
- Department of Pathology, Stanford University, 300 Pasteur Drive, Stanford, CA 94305 USA
- Department of Genetics, Stanford University, Stanford, CA 94305 USA
- Department of Biomedical Data Science, Stanford University, Stanford, CA 94305 USA
| | - Frank L. Heppner
- Department of Neuropathology, Charité–Universitätsmedizin Berlin, Corporate member of Freie Universität Berlin and Humboldt-Universität Zu Berlin, Charitéplatz 1, 10117 Berlin, Germany
- German Center for Neurodegenerative Diseases (DZNE), 10117 Berlin, Germany
- Cluster of Excellence, NeuroCure, 10117 Berlin, Germany
| | - David Capper
- Department of Neuropathology, Charité–Universitätsmedizin Berlin, Corporate member of Freie Universität Berlin and Humboldt-Universität Zu Berlin, Charitéplatz 1, 10117 Berlin, Germany
| | - Daniel Nachun
- Department of Genetics, Stanford University, Stanford, CA 94305 USA
| | - Thomas J. Montine
- Department of Pathology, Stanford University, 300 Pasteur Drive, Stanford, CA 94305 USA
| |
Collapse
|
14
|
England-Mason G, Merrill SM, Gladish N, Moore SR, Giesbrecht GF, Letourneau N, MacIsaac JL, MacDonald AM, Kinniburgh DW, Ponsonby AL, Saffery R, Martin JW, Kobor MS, Dewey D. Prenatal exposure to phthalates and peripheral blood and buccal epithelial DNA methylation in infants: An epigenome-wide association study. ENVIRONMENT INTERNATIONAL 2022; 163:107183. [PMID: 35325772 DOI: 10.1016/j.envint.2022.107183] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/17/2021] [Revised: 02/16/2022] [Accepted: 03/09/2022] [Indexed: 06/14/2023]
Abstract
BACKGROUND Prenatal exposure to phthalates has been associated with adverse health and neurodevelopmental outcomes. DNA methylation (DNAm) alterations may be a mechanism underlying these effects, but prior investigations of prenatal exposure to phthalates and neonatal DNAm profiles are limited to placental tissue and umbilical cord blood. OBJECTIVE Conduct an epigenome-wide association study (EWAS) of the associations between prenatal exposure to phthalates and DNAm in two accessible infant tissues, venous buffy coat blood and buccal epithelial cells (BECs). METHODS Participants included 152 maternal-infant pairs from the Alberta Pregnancy Outcomes and Nutrition (APrON) study. Maternal second trimester urine samples were analyzed for nine phthalate metabolites. Blood (n = 74) or BECs (n = 78) were collected from 3-month-old infants and profiled for DNAm using the Infinium HumanMethylation450 (450K) BeadChip. Robust linear regressions were used to investigate the associations between high (HMWPs) and low molecular weight phthalates (LMWPs) and change in methylation levels at variable Cytosine-phosphate-Guanine (CpG) sites in infant tissues, as well as the sensitivity of associations to potential confounders. RESULTS One candidate CpG in gene RNF39 reported by a previous study examining prenatal exposure to phthalates and cord blood DNAm was replicated. The EWAS identified 12 high-confidence CpGs in blood and another 12 in BECs associated with HMWPs and/or LMWPs. Prenatal exposure to bisphenol A (BPA) associated with two of the CpGs associated with HMWPs in BECs. DISCUSSION Prenatal exposure to phthalates was associated with DNAm variation at CpGs annotated to genes associated with endocrine hormone activity (i.e., SLCO4A1, TPO), immune pathways and DNA damage (i.e., RASGEF1B, KAZN, HLA-A, MYO18A, DIP2C, C1or109), and neurodevelopment (i.e., AMPH, NOTCH3, DNAJC5). Future studies that characterize the stability of these associations in larger samples, multiple cohorts, across tissues, and investigate the potential associations between these biomarkers and relevant health and neurodevelopmental outcomes are needed.
Collapse
Affiliation(s)
- Gillian England-Mason
- Department of Paediatrics, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada; Owerko Centre, Alberta Children's Hospital Research Institute, University of Calgary, Calgary, Alberta, Canada
| | - Sarah M Merrill
- Department of Medical Genetics, Faculty of Medicine, University of British Columbia, Vancouver, British Columbia, Canada; British Columbia Children's Hospital Research Institute, University of British Columbia, Vancouver, British Columbia, Canada; Centre for Molecular Medicine and Therapeutics, Vancouver, British Columbia, Canada
| | - Nicole Gladish
- Department of Medical Genetics, Faculty of Medicine, University of British Columbia, Vancouver, British Columbia, Canada; British Columbia Children's Hospital Research Institute, University of British Columbia, Vancouver, British Columbia, Canada; Centre for Molecular Medicine and Therapeutics, Vancouver, British Columbia, Canada
| | - Sarah R Moore
- Department of Medical Genetics, Faculty of Medicine, University of British Columbia, Vancouver, British Columbia, Canada; British Columbia Children's Hospital Research Institute, University of British Columbia, Vancouver, British Columbia, Canada; Centre for Molecular Medicine and Therapeutics, Vancouver, British Columbia, Canada
| | - Gerald F Giesbrecht
- Department of Paediatrics, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada; Owerko Centre, Alberta Children's Hospital Research Institute, University of Calgary, Calgary, Alberta, Canada; Department of Psychology, Faculty of Arts, University of Calgary, Calgary, Alberta, Canada; Department of Community Health Sciences, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada
| | - Nicole Letourneau
- Department of Paediatrics, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada; Owerko Centre, Alberta Children's Hospital Research Institute, University of Calgary, Calgary, Alberta, Canada; Department of Community Health Sciences, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada; Faculty of Nursing, University of Calgary, Calgary, Alberta, Canada; Department of Psychiatry, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada; Hotchkiss Brain Institute, Calgary, Alberta, Canada
| | - Julia L MacIsaac
- Department of Medical Genetics, Faculty of Medicine, University of British Columbia, Vancouver, British Columbia, Canada; British Columbia Children's Hospital Research Institute, University of British Columbia, Vancouver, British Columbia, Canada; Centre for Molecular Medicine and Therapeutics, Vancouver, British Columbia, Canada
| | - Amy M MacDonald
- Alberta Centre for Toxicology, University of Calgary, Calgary, Alberta, Canada
| | - David W Kinniburgh
- Alberta Centre for Toxicology, University of Calgary, Calgary, Alberta, Canada; Department of Laboratory Medicine and Pathology, University of Alberta, Edmonton, Alberta, Canada
| | - Anne-Louise Ponsonby
- Murdoch Children's Research Institute, Royal Children's Hospital, University of Melbourne, Melbourne, Victoria, Australia
| | - Richard Saffery
- Murdoch Children's Research Institute, Royal Children's Hospital, University of Melbourne, Melbourne, Victoria, Australia
| | - Jonathan W Martin
- Science for Life Laboratory, Department of Environmental Science, Stockholm University, Stockholm, Södermanland, Sweden
| | - Michael S Kobor
- Department of Medical Genetics, Faculty of Medicine, University of British Columbia, Vancouver, British Columbia, Canada; British Columbia Children's Hospital Research Institute, University of British Columbia, Vancouver, British Columbia, Canada; Centre for Molecular Medicine and Therapeutics, Vancouver, British Columbia, Canada; Program in Child and Brain Development, CIFAR, Toronto, Ontario, Canada
| | - Deborah Dewey
- Department of Paediatrics, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada; Owerko Centre, Alberta Children's Hospital Research Institute, University of Calgary, Calgary, Alberta, Canada; Department of Community Health Sciences, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada; Hotchkiss Brain Institute, Calgary, Alberta, Canada.
| |
Collapse
|
15
|
Gautam Y, Johansson E, Mersha TB. Multi-Omics Profiling Approach to Asthma: An Evolving Paradigm. J Pers Med 2022; 12:jpm12010066. [PMID: 35055381 PMCID: PMC8778153 DOI: 10.3390/jpm12010066] [Citation(s) in RCA: 27] [Impact Index Per Article: 13.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/24/2021] [Revised: 12/23/2021] [Accepted: 12/28/2021] [Indexed: 02/04/2023] Open
Abstract
Asthma is a complex multifactorial and heterogeneous respiratory disease. Although genetics is a strong risk factor of asthma, external and internal exposures and their interactions with genetic factors also play important roles in the pathophysiology of asthma. Over the past decades, the application of high-throughput omics approaches has emerged and been applied to the field of asthma research for screening biomarkers such as genes, transcript, proteins, and metabolites in an unbiased fashion. Leveraging large-scale studies representative of diverse population-based omics data and integrating with clinical data has led to better profiling of asthma risk. Yet, to date, no omic-driven endotypes have been translated into clinical practice and management of asthma. In this article, we provide an overview of the current status of omics studies of asthma, namely, genomics, transcriptomics, epigenomics, proteomics, exposomics, and metabolomics. The current development of the multi-omics integrations of asthma is also briefly discussed. Biomarker discovery following multi-omics profiling could be challenging but useful for better disease phenotyping and endotyping that can translate into advances in asthma management and clinical care, ultimately leading to successful precision medicine approaches.
Collapse
|
16
|
Murat K, Grüning B, Poterlowicz PW, Westgate G, Tobin DJ, Poterlowicz K. Ewastools: Infinium Human Methylation BeadChip pipeline for population epigenetics integrated into Galaxy. Gigascience 2020; 9:giaa049. [PMID: 32401319 PMCID: PMC7219210 DOI: 10.1093/gigascience/giaa049] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/14/2019] [Revised: 02/24/2020] [Accepted: 04/21/2020] [Indexed: 11/13/2022] Open
Abstract
BACKGROUND Infinium Human Methylation BeadChip is an array platform for complex evaluation of DNA methylation at an individual CpG locus in the human genome based on Illumina's bead technology and is one of the most common techniques used in epigenome-wide association studies. Finding associations between epigenetic variation and phenotype is a significant challenge in biomedical research. The newest version, HumanMethylationEPIC, quantifies the DNA methylation level of 850,000 CpG sites, while the previous versions, HumanMethylation450 and HumanMethylation27, measured >450,000 and 27,000 loci, respectively. Although a number of bioinformatics tools have been developed to analyse this assay, they require some programming skills and experience in order to be usable. RESULTS We have developed a pipeline for the Galaxy platform for those without experience aimed at DNA methylation analysis using the Infinium Human Methylation BeadChip. Our tool is integrated into Galaxy (http://galaxyproject.org), a web-based platform. This allows users to analyse data from the Infinium Human Methylation BeadChip in the easiest possible way. CONCLUSIONS The pipeline provides a group of integrated analytical methods wrapped into an easy-to-use interface. Our tool is available from the Galaxy ToolShed, GitHub repository, and also as a Docker image. The aim of this project is to make Infinium Human Methylation BeadChip analysis more flexible and accessible to everyone.
Collapse
Affiliation(s)
- Katarzyna Murat
- Center for Skin Sciences, University of Bradford, Richmond Road, Bradford BD7 1DP, UK
| | - Björn Grüning
- Freiburg Galaxy Team, University of Freiburg, Fahnenbergplatz, 79085 Freiburg im Breisgau, Germany
| | | | - Gillian Westgate
- Center for Skin Sciences, University of Bradford, Richmond Road, Bradford BD7 1DP, UK
| | - Desmond J Tobin
- The Charles Institute for Dermatology, Belfield, School of Medicine, University College Dublin, Ireland
| | - Krzysztof Poterlowicz
- Center for Skin Sciences, University of Bradford, Richmond Road, Bradford BD7 1DP, UK
| |
Collapse
|