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Volumn 8, Issue 8, 2013, Pages 816-826

Blood-based profiles of DNA methylation predict the underlying distribution of cell types: A validation analysis

Author keywords

Cell mixture analysis; DNA methylation; Leukocytes; Mixture deconvolution; Whole blood

Indexed keywords

ADULT; ALLELE; ARTICLE; B LYMPHOCYTE; BLOOD CELL COUNT; CD4+ T LYMPHOCYTE; CD8+ T LYMPHOCYTE; CONTROLLED STUDY; CPG ISLAND; DNA METHYLATION; ETHNICITY; EXERCISE; FEMALE; GENE LOCUS; GENETIC ASSOCIATION; GRANULOCYTE; HUMAN; MALE; MONOCYTE; NATURAL KILLER CELL; NUCLEOTIDE SEQUENCE; SMOKING; VALIDATION PROCESS;

EID: 84880969686     PISSN: 15592294     EISSN: 15592308     Source Type: Journal    
DOI: 10.4161/epi.25430     Document Type: Article
Times cited : (201)

References (39)
  • 1
    • 50649108994 scopus 로고    scopus 로고
    • An integrated resource for genomewide identification and analysis of human tissue-specific differentially methylated regions (tDMRs)
    • Rakyan VK, Down TA, Thorne NP, Flicek P, Kulesha E, Graf S, et al. An integrated resource for genomewide identification and analysis of human tissue-specific differentially methylated regions (tDMRs). Genome Res 2008; 18:1518-29.
    • (2008) Genome Res , vol.18 , pp. 1518-1529
    • Rakyan, V.K.1    Down, T.A.2    Thorne, N.P.3    Flicek, P.4    Kulesha, E.5    Graf, S.6
  • 2
    • 70149099610 scopus 로고    scopus 로고
    • Aging and environmental exposures alter tissue-specific DNA methylation dependent upon CpG island context
    • Christensen BC, Houseman EA, Marsit CJ, Zheng S, Wrensch MR, Wiemels JL, et al. Aging and environmental exposures alter tissue-specific DNA methylation dependent upon CpG island context. PLoS Genet 2009; 5:e1000602.
    • (2009) PLoS Genet , vol.5
    • Christensen, B.C.1    Houseman, E.A.2    Marsit, C.J.3    Zheng, S.4    Wrensch, M.R.5    Wiemels, J.L.6
  • 4
    • 79955970344 scopus 로고    scopus 로고
    • Genome-wide promoter DNA methylation dynamics of human hematopoietic progenitor cells during differentiation and aging
    • Bocker MT, Hellwig I, Breiling A, Eckstein V, Ho AD, Lyko F. Genome-wide promoter DNA methylation dynamics of human hematopoietic progenitor cells during differentiation and aging. Blood 2011; 117:e182-9.
    • (2011) Blood , vol.117
    • Bocker, M.T.1    Hellwig, I.2    Breiling, A.3    Eckstein, V.4    Ho, A.D.5    Lyko, F.6
  • 5
    • 77956902023 scopus 로고    scopus 로고
    • Comprehensive methylome map of lineage commitment from haematopoietic progenitors
    • Ji H, Ehrlich LI, Seita J, Murakami P, Doi A, Lindau P, et al. Comprehensive methylome map of lineage commitment from haematopoietic progenitors. Nature 2010; 467:338-42.
    • (2010) Nature , vol.467 , pp. 338-342
    • Ji, H.1    Ehrlich, L.I.2    Seita, J.3    Murakami, P.4    Doi, A.5    Lindau, P.6
  • 7
    • 77953138943 scopus 로고    scopus 로고
    • Methylation markers for small cell lung cancer in peripheral blood leukocyte DNA
    • Wang L, Aakre JA, Jiang R, Marks RS, Wu Y, Chen J, et al. Methylation markers for small cell lung cancer in peripheral blood leukocyte DNA. J Thorac Oncol 2010; 5:778-85.
    • (2010) J Thorac Oncol , vol.5 , pp. 778-785
    • Wang, L.1    Aakre, J.A.2    Jiang, R.3    Marks, R.S.4    Wu, Y.5    Chen, J.6
  • 8
    • 79952763964 scopus 로고    scopus 로고
    • DNA methylation array analysis identifies profiles of blood-derived DNA methylation associated with bladder cancer
    • Marsit CJ, Koestler DC, Christensen BC, Karagas MR, Houseman EA, Kelsey KT. DNA methylation array analysis identifies profiles of blood-derived DNA methylation associated with bladder cancer. J Clin Oncol 2011; 29:1133-9.
    • (2011) J Clin Oncol , vol.29 , pp. 1133-1139
    • Marsit, C.J.1    Koestler, D.C.2    Christensen, B.C.3    Karagas, M.R.4    Houseman, E.A.5    Kelsey, K.T.6
  • 9
    • 79953046715 scopus 로고    scopus 로고
    • Leukocyte DNA methylation signature differentiates pancreatic cancer patients from healthy controls
    • Pedersen KS, Bamlet WR, Oberg AL, de Andrade M, Matsumoto ME, Tang H, et al. Leukocyte DNA methylation signature differentiates pancreatic cancer patients from healthy controls. PLoS One 2011; 6:e18223.
    • (2011) PLoS One , vol.6
    • Pedersen, K.S.1    Bamlet, W.R.2    Oberg, A.L.3    de Andrade, M.4    Matsumoto, M.E.5    Tang, H.6
  • 11
    • 84864359044 scopus 로고    scopus 로고
    • Differential DNA methylation in purified human blood cells: Implications for cell lineage and studies on disease susceptibility
    • Reinius LE, Acevedo N, Joerink M, Pershagen G, Dahlen SE, Greco D, et al. Differential DNA methylation in purified human blood cells: implications for cell lineage and studies on disease susceptibility. PLoS One 2012; 7:e41361.
    • (2012) PLoS One , vol.7
    • Reinius, L.E.1    Acevedo, N.2    Joerink, M.3    Pershagen, G.4    Dahlen, S.E.5    Greco, D.6
  • 12
    • 84858222362 scopus 로고    scopus 로고
    • Peripheral blood DNA methylation profiles are indicative of head and neck squamous cell carcinoma: An epigenome-wide association study
    • Langevin SM, Koestler DC, Christensen BC, Butler RA, Wiencke JK, Nelson HH, et al. Peripheral blood DNA methylation profiles are indicative of head and neck squamous cell carcinoma: an epigenome-wide association study. Epigenetics 2012; 7:291-9.
    • (2012) Epigenetics , vol.7 , pp. 291-299
    • Langevin, S.M.1    Koestler, D.C.2    Christensen, B.C.3    Butler, R.A.4    Wiencke, J.K.5    Nelson, H.H.6
  • 16
    • 58349116249 scopus 로고    scopus 로고
    • Quantitative DNA methylation analysis of FOXP3 as a new method for counting regulatory T cells in peripheral blood and solid tissue
    • Wieczorek G, Asemissen A, Model F, Turbachova I, Floess S, Liebenberg V, et al. Quantitative DNA methylation analysis of FOXP3 as a new method for counting regulatory T cells in peripheral blood and solid tissue. Cancer research 2009; 69:599-608.
    • (2009) Cancer research , vol.69 , pp. 599-608
    • Wieczorek, G.1    Asemissen, A.2    Model, F.3    Turbachova, I.4    Floess, S.5    Liebenberg, V.6
  • 19
    • 84873576566 scopus 로고    scopus 로고
    • Epigenome-wide association data implicate DNA methylation as an intermediary of genetic risk in rheumatoid arthritis
    • Liu Y, Aryee MJ, Padyukov L, Fallin MD, Hesselberg E, Runarsson A, et al. Epigenome-wide association data implicate DNA methylation as an intermediary of genetic risk in rheumatoid arthritis. Nat Biotechnol 2013; 31:142-7.
    • (2013) Nat Biotechnol , vol.31 , pp. 142-147
    • Liu, Y.1    Aryee, M.J.2    Padyukov, L.3    Fallin, M.D.4    Hesselberg, E.5    Runarsson, A.6
  • 21
    • 33845432928 scopus 로고    scopus 로고
    • Adjusting batch effects in microarray expression data using empirical Bayes methods
    • Johnson WE, Li C, Rabinovic A. Adjusting batch effects in microarray expression data using empirical Bayes methods. Biostatistics 2007; 8:118-27.
    • (2007) Biostatistics , vol.8 , pp. 118-127
    • Johnson, W.E.1    Li, C.2    Rabinovic, A.3
  • 22
    • 21544434915 scopus 로고    scopus 로고
    • Peripheral total and differential leukocyte count in diabetic nephropathy: The relationship of plasma leptin to leukocytosis
    • Chung FM, Tsai JC, Chang DM, Shin SJ, Lee YJ. Peripheral total and differential leukocyte count in diabetic nephropathy: the relationship of plasma leptin to leukocytosis. Diabetes care 2005; 28:1710-7.
    • (2005) Diabetes care , vol.28 , pp. 1710-1717
    • Chung, F.M.1    Tsai, J.C.2    Chang, D.M.3    Shin, S.J.4    Lee, Y.J.5
  • 23
    • 0035129132 scopus 로고    scopus 로고
    • The relation between peripheral blood leukocyte counts and respiratory symptoms, atopy, lung function, and airway responsiveness in adults
    • Lewis SA, Pavord ID, Stringer JR, Knox AJ, Weiss ST, Britton JR. The relation between peripheral blood leukocyte counts and respiratory symptoms, atopy, lung function, and airway responsiveness in adults. Chest 2001; 119:105-14.
    • (2001) Chest , vol.119 , pp. 105-114
    • Lewis, S.A.1    Pavord, I.D.2    Stringer, J.R.3    Knox, A.J.4    Weiss, S.T.5    Britton, J.R.6
  • 24
    • 66049137257 scopus 로고    scopus 로고
    • Heterogeneity of asthma according to blood inflammatory patterns
    • Nadif R, Siroux V, Oryszczyn MP, Ravault C, Pison C, Pin I, et al. Heterogeneity of asthma according to blood inflammatory patterns. Thorax 2009; 64:374-80.
    • (2009) Thorax , vol.64 , pp. 374-380
    • Nadif, R.1    Siroux, V.2    Oryszczyn, M.P.3    Ravault, C.4    Pison, C.5    Pin, I.6
  • 28
    • 79956191491 scopus 로고    scopus 로고
    • Analysis of associations between the patterns of global DNA hypomethylation and expression of DNA methyltransferase in patients with systemic lupus erythematosus
    • Zhu X, Liang J, Li F, Yang Y, Xiang L, Xu J. Analysis of associations between the patterns of global DNA hypomethylation and expression of DNA methyltransferase in patients with systemic lupus erythematosus. International journal of dermatology 2011; 50:697-704.
    • (2011) International journal of dermatology , vol.50 , pp. 697-704
    • Zhu, X.1    Liang, J.2    Li, F.3    Yang, Y.4    Xiang, L.5    Xu, J.6
  • 30
    • 84867251622 scopus 로고    scopus 로고
    • 450K epigenome-wide scan identifies differential DNA methylation in newborns related to maternal smoking during pregnancy
    • Joubert BR, Haberg SE, Nilsen RM, Wang X, Vollset SE, Murphy SK, et al. 450K epigenome-wide scan identifies differential DNA methylation in newborns related to maternal smoking during pregnancy. Environmental health perspectives 2012; 120:1425-31.
    • (2012) Environmental health perspectives , vol.120 , pp. 1425-1431
    • Joubert, B.R.1    Haberg, S.E.2    Nilsen, R.M.3    Wang, X.4    Vollset, S.E.5    Murphy, S.K.6
  • 32
    • 84862667064 scopus 로고    scopus 로고
    • Temporal stability of epigenetic markers: Sequence characteristics and predictors of shortterm DNA methylation variations
    • Byun HM, Nordio F, Coull BA, Tarantini L, Hou L, Bonzini M, et al. Temporal stability of epigenetic markers: sequence characteristics and predictors of shortterm DNA methylation variations. PLoS One 2012; 7:e39220.
    • (2012) PLoS One , vol.7
    • Byun, H.M.1    Nordio, F.2    Coull, B.A.3    Tarantini, L.4    Hou, L.5    Bonzini, M.6
  • 34
    • 77249137168 scopus 로고    scopus 로고
    • Principles and challenges of genomewide DNA methylation analysis
    • Laird PW. Principles and challenges of genomewide DNA methylation analysis. Nature reviews Genetics 2010; 11:191-203.
    • (2010) Nature reviews Genetics , vol.11 , pp. 191-203
    • Laird, P.W.1
  • 35
    • 34848914038 scopus 로고    scopus 로고
    • Capturing heterogeneity in gene expression studies by surrogate variable analysis
    • Leek JT, Storey JD. Capturing heterogeneity in gene expression studies by surrogate variable analysis. PLoS Genet 2007; 3:1724-35.
    • (2007) PLoS Genet , vol.3 , pp. 1724-1735
    • Leek, J.T.1    Storey, J.D.2
  • 36
    • 83455237886 scopus 로고    scopus 로고
    • Batch effect correction for genome-wide methylation data with Illumina Infinium platform
    • Sun Z, Chai HS, Wu Y, White WM, Donkena KV, Klein CJ, et al. Batch effect correction for genome-wide methylation data with Illumina Infinium platform. BMC medical genomics 2011; 4:84.
    • (2011) BMC medical genomics , vol.4 , pp. 84
    • Sun, Z.1    Chai, H.S.2    Wu, Y.3    White, W.M.4    Donkena, K.V.5    Klein, C.J.6
  • 37
    • 79957851822 scopus 로고    scopus 로고
    • Independent surrogate variable analysis to deconvolve confounding factors in large-scale microarray profiling studies
    • Teschendorff AE, Zhuang J, Widschwendter M. Independent surrogate variable analysis to deconvolve confounding factors in large-scale microarray profiling studies. Bioinformatics 2011; 27:1496-505.
    • (2011) Bioinformatics , vol.27 , pp. 1496-1505
    • Teschendorff, A.E.1    Zhuang, J.2    Widschwendter, M.3


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