Epigenetic signatures of asthma: a comprehensive study of DNA methylation and clinical markers

被引:0
作者
Van Asselt, Austin J. [1 ,2 ]
Beck, Jeffrey J. [1 ]
Finnicum, Casey T. [1 ]
Johnson, Brandon N. [1 ]
Kallsen, Noah [1 ]
Viet, Sarah [1 ]
Huizenga, Patricia [1 ]
Ligthart, Lannie [2 ,3 ]
Hottenga, Jouke-Jan [2 ,3 ]
Pool, Rene [2 ,3 ]
Der Zee, Anke H. Maitland-van [3 ,4 ]
Vijverberg, S. J. [3 ,4 ]
de Geus, Eco [2 ,3 ]
Boomsma, Dorret I. [2 ,3 ,5 ,6 ]
Ehli, Erik A. [1 ]
van Dongen, Jenny [2 ,3 ,5 ]
机构
[1] Avera McKennan Hosp & Univ Hlth Ctr, Sioux Falls, SD 57105 USA
[2] Vrije Univ Amsterdam, Dept Biol Psychol, Amsterdam, Netherlands
[3] Amsterdam Publ Hlth, Res Inst, Amsterdam, Netherlands
[4] Univ Amsterdam, Med Ctr, Dept Pulm Med, Amsterdam UMC, Amsterdam, Netherlands
[5] Amsterdam Reprod & Dev AR&D Res Inst, Amsterdam, Netherlands
[6] Vrije Univ Amsterdam, Ctr Neurogenom & Cognit Res, Complex Trait Genet, Amsterdam, Netherlands
关键词
Methylation; Asthma; Epigenetics; Epigenome-wide association; Microarrays; CHILDHOOD ASTHMA; GENOME-WIDE; PHENOTYPES; ENDOTYPES; CLASSIFICATION; ASSOCIATION;
D O I
10.1186/s13148-024-01765-0
中图分类号
R73 [肿瘤学];
学科分类号
100214 ;
摘要
BackgroundAsthma, a complex respiratory disease, presents with inflammatory symptoms in the lungs, blood, and other tissues. We investigated the relationship between DNA methylation and 35 clinical markers of asthma.MethodsThe Illumina Infinium EPIC v1 methylation array was used to evaluate 742,442 CpGs in whole blood from 319 participants from 94 families. They were part of the Netherlands Twin Register from families with at least one member suffering from severe asthma. Repeat blood samples were taken after 10 years from 182 individuals. Principal component analysis on the clinical asthma markers yielded ten principal components (PCs) that explained 92.8% of the total variance. We performed epigenome-wide association studies (EWAS) for each of the ten PCs correcting for familial structure and other covariates.Results221 unique CpGs reached genome-wide significance at timepoint 1 after Bonferroni correction. PC7, which correlated with loadings of eosinophil counts and immunoglobulin levels, accounted for the majority of associations (204). Enrichment analysis via the EWAS Atlas identified 190 of these CpGs to be previously identified in EWASs of asthma and asthma-related traits. Proximity assessment to previously identified SNPs associated with asthma identified 17 unique SNPs within 1 MB of two of the 221 CpGs. EWAS in 182 individuals with epigenetic data at a second timepoint identified 49 significant CpGs. EWAS Atlas enrichment analysis indicated that 4 of the 49 were previously associated with asthma or asthma-related traits. Comparing the estimates of all the significant associations identified across the two time points yielded a correlation of 0.81.ConclusionWe identified 270 unique CpGs that were associated with PC scores generated from 35 clinical markers of asthma, either cross-sectionally or 10 years later. A strong correlation was present between effect sizes at the 2 timepoints. Most associations were identified for PC7, which captured blood eosinophil counts and immunoglobulin levels and many of these CpGs have previous associations in earlier studies of asthma and asthma-related traits. The results point to a robust DNA methylation profile as a new, stable biomarker for asthma.
引用
收藏
页数:15
相关论文
共 70 条
  • [41] DNA Methylation and Asthma Acquisition during Adolescence and Post-Adolescence, an Epigenome-Wide Longitudinal Study
    Rathod, Aniruddha
    Zhang, Hongmei
    Arshad, Syed Hasan
    Ewart, Susan
    Relton, Caroline L.
    Karmaus, Wilfried
    Holloway, John W.
    [J]. JOURNAL OF PERSONALIZED MEDICINE, 2022, 12 (02):
  • [42] Research Z, 2021, EZ-96 DNA Methylation™ Kit
  • [43] An optimized library for reference-based deconvolution of whole-blood biospecimens assayed using the Illumina HumanMethylationEPIC BeadArray
    Salas, Lucas A.
    Koestler, Devin C.
    Butler, Rondi A.
    Hansen, Helen M.
    Wiencke, John K.
    Kelsey, Karl T.
    Christensen, Brock C.
    [J]. GENOME BIOLOGY, 2018, 19
  • [44] Advances in asthma and allergic disease genetics: Is bigger always better?
    Schoettler, Nathan
    Rodriguez, Elke
    Weidinger, Stephan
    Ober, Carole
    [J]. JOURNAL OF ALLERGY AND CLINICAL IMMUNOLOGY, 2019, 144 (06) : 1495 - 1506
  • [45] A review of epigenetic changes in asthma: methylation and acetylation
    Sheikhpour, Mojgan
    Maleki, Mobina
    Ebrahimi Vargoorani, Maryam
    Amiri, Vahid
    [J]. CLINICAL EPIGENETICS, 2021, 13 (01)
  • [46] Exploring genome-wide DNA methylation profiles altered in hepatocellular carcinoma using Infinium HumanMethylation 450 BeadChips
    Shen, Jing
    Wang, Shuang
    Zhang, Yu-Jing
    Wu, Hui-Chen
    Kibriya, Muhammad G.
    Jasmine, Farzana
    Ahsan, Habibul
    Wu, David P. H.
    Siegel, Abby B.
    Remotti, Helen
    Santella, Regina M.
    [J]. EPIGENETICS, 2013, 8 (01) : 34 - 43
  • [47] DNA methylation: roles in mammalian development
    Smith, Zachary D.
    Meissner, Alexander
    [J]. NATURE REVIEWS GENETICS, 2013, 14 (03) : 204 - 220
  • [48] An integrated analysis of genome-wide DNA methylation and gene expression data in hepatocellular carcinoma
    Sun, Xiang-Jun
    Wang, Ming-Chun
    Zhang, Feng-Hua
    Kong, Xiao
    [J]. FEBS OPEN BIO, 2018, 8 (07): : 1093 - 1103
  • [49] Asthma Endotypes and an Overview of Targeted Therapy for Asthma
    Svenningsen, Sarah
    Nair, Parameswaran
    [J]. FRONTIERS IN MEDICINE, 2017, 4
  • [50] Promoter DNA methylation analysis reveals a combined diagnosis of CpG-based biomarker for prostate cancer
    Tang, Yuanyuan
    Jiang, Shusuan
    Gu, Yinmin
    Li, Weidong
    Mo, Zengnan
    Huang, Yuanjie
    Li, Tianyu
    Hu, Yanling
    [J]. ONCOTARGET, 2017, 8 (35) : 58199 - 58209