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

Adjusting batch effects in microarray expression data using empirical Bayes methods

Johnson, W. E., Li, C., & Rabinovic, A. (2007) · Biostatistics · doi:10.1093/biostatistics/kxj037 · Cited by 8,658 · see citing works

DNA methylation arrays as surrogate measures of cell mixture distribution

Houseman, E. A., Accomando, W. P., Koestler, D. C., Christensen, B. C., Marsit, C. J., Nelson, H. H., Wiencke, J. K., & Kelsey, K. T. (2012) · BMC Bioinformatics · doi:10.1186/1471-2105-13-86 · Cited by 3,175 · see citing works

Capturing Heterogeneity in Gene Expression Studies by Surrogate Variable Analysis

Leek, J. T., & Storey, J. D. (2007) · PLoS Genetics · doi:10.1371/journal.pgen.0030161 · Cited by 1,930 · see citing works

Principles and challenges of genome-wide DNA methylation analysis

Laird, P. W. (2010) · Nature Reviews Genetics · doi:10.1038/nrg2732 · Cited by 1,574 · see citing works

Aging and Environmental Exposures Alter Tissue-Specific DNA Methylation Dependent upon CpG Island Context

Christensen, B. C., Houseman, E. A., Marsit, C. J., Zheng, S., Wrensch, M., Wiemels, J. L., Nelson, H. H., Karagas, M. R., Padbury, J. F., Bueno, R., et al. (2009) · PLoS Genetics · doi:10.1371/journal.pgen.1000602 · Cited by 1,062 · see citing works

Differential DNA Methylation in Purified Human Blood Cells: Implications for Cell Lineage and Studies on Disease Susceptibility

Reinius, L. E., Acevedo, N., Joerink, M., Pershagen, G., Dahlén, S., Greco, D., Söderhäll, C., Scheynius, A., & Kere, J. (2012) · PLoS ONE · doi:10.1371/journal.pone.0041361 · Cited by 1,019 · see citing works

Epigenome-wide association data implicate DNA methylation as an intermediary of genetic risk in rheumatoid arthritis

Liu, Y., Aryee, M. J., Padyukov, L., Fallin, M. D., Hesselberg, E., Rúnarsson, Á. R., Reinius, L. E., Acevedo, N., Taub, M. A., Ronninger, M., et al. (2013) · Nature Biotechnology · doi:10.1038/nbt.2487 · Cited by 974 · see citing works

Low early-life social class leaves a biological residue manifested by decreased glucocorticoid and increased proinflammatory signaling

Miller, G. E., Chen, E., Fok, A. K., Walker, H., Lim, A., Nicholls, E. F., Cole, S., & Kobor, M. S. (2009) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0902971106 · Cited by 822 · see citing works

Epigenomic Profiling Reveals DNA-Methylation Changes Associated with Major Psychosis

Mill, J., Tang, T., Kaminsky, Z., Khare, T., Yazdanpanah, S., Bouchard, L., Jia, P., Assadzadeh, A., Flanagan, J., Schumacher, A., et al. (2008) · The American Journal of Human Genetics · doi:10.1016/j.ajhg.2008.01.008 · Cited by 773 · see citing works

450K epigenome-wide scan identifies differential DNA methylation in newborns related to maternal smoking during pregnancy

Joubert, B. R., Håberg, S. E., Nilsen, R. M., Wang, X., Vollset, S. E., Murphy, S. K., Huang, Z., Hoyo, C., Midttun, Ø., Cupul-Uicab, L. A., et al. (2012) · Environmental Health Perspectives · doi:10.1289/ehp.1205412 · Cited by 716 · see citing works

Comprehensive methylome map of lineage commitment from haematopoietic progenitors

Ji, H., Ehrlich, L. I. R., Seita, J., Murakami, P. N., Doi, A., Lindau, P., Lee, H.-J., Aryee, M. J., Irizarry, R. A., Kim, K., et al. (2010) · Nature · doi:10.1038/nature09367 · Cited by 636 · see citing works

Factors underlying variable DNA methylation in a human community cohort

Lam, L. L., Emberly, E., Fraser, H. B., Neumann, S. M., Chen, E., Miller, G. E., & Kobor, M. S. (2012) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1121249109 · Cited by 476 · see citing works

An integrated resource for genome-wide identification and analysis of human tissue-specific differentially methylated regions (tDMRs)Preprint

Rakyan, V. K., Down, T. A., Thorne, N., Flicek, P., Kulesha, E., Gräf, S., Tomazou, E. M., Bäckdahl, L., Johnson, N., Herberth, M., et al. (2008) · Genome Research · doi:10.1101/gr.077479.108 · Cited by 379 · see citing works

Ischemic Heart Disease and Stroke in Relation to Blood DNA Methylation

Baccarelli, A., Wright, R. O., Bollati, V., Litonjua, A. A., Zanobetti, A., Tarantini, L., Sparrow, D., Vokonas, P., & Schwartz, J. D. (2010) · Epidemiology · doi:10.1097/ede.0b013e3181f20457 · Cited by 361 · see citing works

DNA Methylation as a Biomarker for Cardiovascular Disease Risk

Kim, M.-J., Long, T. I., Arakawa, K., Wang, R., Yu, M. C., & Laird, P. W. (2010) · PLoS ONE · doi:10.1371/journal.pone.0009692 · Cited by 357 · see citing works

An Epigenetic Signature in Peripheral Blood Predicts Active Ovarian Cancer

Teschendorff, A. E., Menon, U., Gentry‐Maharaj, A., Ramus, S. J., Gayther, S. A., Apostolidou, S., Jones, A., Lechner, M., Beck, S., Jacobs, I. J., et al. (2009) · PLoS ONE · doi:10.1371/journal.pone.0008274 · Cited by 357 · see citing works

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. M., Model, F., Türbachova, I., Floess, S., Liebenberg, V., Baron, U., Stauch, D., Kotsch, K., Pratschke, J., et al. (2009) · Cancer Research · doi:10.1158/0008-5472.can-08-2361 · Cited by 315 · see citing works

Independent surrogate variable analysis to deconvolve confounding factors in large-scale microarray profiling studies

Teschendorff, A. E., Zhuang, J. J., & Widschwendter, M. (2011) · Bioinformatics · doi:10.1093/bioinformatics/btr171 · Cited by 259 · see citing works

Heterogeneity in White Blood Cells Has Potential to Confound DNA Methylation Measurements

Aðalsteinsson, B. Þ., Guðnason, H., Aspelund, T., Harris, T. B., Launer, L. J., Eiríksdóttir, G., Smith, A. V., & Gudnason, V. G. (2012) · PLoS ONE · doi:10.1371/journal.pone.0046705 · Cited by 203 · see citing works

Genome-wide promoter DNA methylation dynamics of human hematopoietic progenitor cells during differentiation and aging

Bocker, M., Hellwig, I., Breiling, A., Eckstein, V., Ho, A. D., & Lyko, F. (2011) · Blood · doi:10.1182/blood-2011-01-331926 · Cited by 195 · see citing works

Differential DNA Methylation in Umbilical Cord Blood of Infants Exposed to Low Levels of Arsenic in Utero

Koestler, D. C., Avissar-Whiting, M., Houseman, E. A., Karagas, M. R., & Marsit, C. J. (2013) · Environmental Health Perspectives · doi:10.1289/ehp.1205925 · Cited by 180 · see citing works

Airborne particulate matter and mitochondrial damage: a cross-sectional study

Hou, L., Zhu, Z.-Z., Zhang, X., Nordio, F., Bonzini, M., Schwartz, J. D., Hoxha, M., Dioni, L., Marinelli, B., Pegoraro, V., et al. (2010) · Environmental Health · doi:10.1186/1476-069x-9-48 · Cited by 168 · see citing works

DNA Methylation Array Analysis Identifies Profiles of Blood-Derived DNA Methylation Associated With Bladder Cancer

Marsit, C. J., Koestler, D. C., Christensen, B. C., Karagas, M. R., Houseman, E. A., & Kelsey, K. T. (2011) · Journal of Clinical Oncology · doi:10.1200/jco.2010.31.3577 · Cited by 128 · see citing works

Heterogeneity of asthma according to blood inflammatory patterns

Nadif, R., Siroux, V., Oryszczyn, M., Ravault, C., Pison, C. M., Pin, I., Kauffmann, F., & (EGEA), O. B. O. T. E. S. O. T. G. A. E. O. A. (2009) · Thorax · doi:10.1136/thx.2008.103069 · Cited by 128 · see citing works

Peripheral Blood Immune Cell Methylation Profiles Are Associated with Nonhematopoietic Cancers

Koestler, D. C., Marsit, C. J., Christensen, B. C., Accomando, W. P., Langevin, S. M., Houseman, E. A., Nelson, H. H., Karagas, M. R., Wiencke, J. K., & Kelsey, K. T. (2012) · Cancer Epidemiology Biomarkers & Prevention · doi:10.1158/1055-9965.epi-12-0361 · Cited by 117 · see citing works

Peripheral Total and Differential Leukocyte Count in Diabetic Nephropathy

Chung, F., Tsai, J. C. ‐., Chang, D., Shin, S., & Lee, Y. (2005) · Diabetes Care · doi:10.2337/diacare.28.7.1710 · Cited by 116 · see citing works

Batch effect correction for genome-wide methylation data with Illumina Infinium platform

Sun, Z., Chai, H. S., Wu, Y., White, W. M., Donkena, K. V., Klein, C. J., Garovic, V. D., Therneau, T. M., & Kocher, J.-P. A. (2011) · BMC Medical Genomics · doi:10.1186/1755-8794-4-84 · Cited by 108 · see citing works

Peripheral blood DNA methylation profiles are indicative of head and neck squamous cell carcinoma: An epigenome-wide association study

Langevin, S. M., Koestler, D. C., Christensen, B. C., Butler, R. A., Wiencke, J. K., Nelson, H. H., Houseman, E. A., Marsit, C. J., & Kelsey, K. T. (2012) · Epigenetics · doi:10.4161/epi.7.3.19134 · Cited by 91 · see citing works

Epigenetic quantification of tumor-infiltrating T-lymphocytes

Sehouli, J., Loddenkemper, C., Cornu, T. I., Schwachula, T., Hoffmüller, U., Grützkau, A., Lohneis, P., Dickhaus, T., Gröne, J., Kruschewski, M., et al. (2011) · Epigenetics · doi:10.4161/epi.6.2.13755 · Cited by 83 · see citing works

Leukocyte DNA Methylation Signature Differentiates Pancreatic Cancer Patients from Healthy Controls

Pedersen, K. S., Bamlet, W. R., Oberg, A. L., de Andrade, M., Matsumoto, M., Tang, H. D., Thibodeau, S. N., Petersen, G. M., & Wang, L. (2011) · PLoS ONE · doi:10.1371/journal.pone.0018223 · Cited by 80 · see citing works

The Relation Between Peripheral Blood Leukocyte Counts and Respiratory Symptoms, Atopy, Lung Function, and Airway Responsiveness in Adults

Lewis, S., Pavord, I. D., Stringer, J. R., Knox, A. J., Weiss, S. T., & Britton, J. R. (2001) · CHEST Journal · doi:10.1378/chest.119.1.105 · Cited by 74 · see citing works

DNA Methylation Analysis as a Tool for Cell Typing

Baron, U., Türbachova, I., Hellwag, A., Eckhardt, F., Berlin, K., Hoffmüller, U., Gardina, P. J., & Olek, S. (2006) · Epigenetics · doi:10.4161/epi.1.1.2643 · Cited by 73 · see citing works

Methylation Markers for Small Cell Lung Cancer in Peripheral Blood Leukocyte DNA

Wang, L., Aakre, J. A., Jiang, R., Marks, R. S., Wu, Y., Chen, J., Thibodeau, S. N., Pankratz, V. S., & Yang, P. (2010) · Journal of Thoracic Oncology · doi:10.1097/jto.0b013e3181d6e0b3 · Cited by 67 · see citing works

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. F., Li, F., Yang, Y., Xiang, L. F., & Xu, J. (2011) · International Journal of Dermatology · doi:10.1111/j.1365-4632.2010.04804.x · Cited by 56 · see citing works

Epigenetic markers of exposure to polycyclic aromatic hydrocarbons in Mexican brickmakers: A pilot study

Alegría‐Torres, J. A., Barretta, F., Batres-Esquivel, L. E., Carrizales, L., Pérez‐Maldonado, I. N., Baccarelli, A., & Bertazzi, P. A. (2013) · Chemosphere · doi:10.1016/j.chemosphere.2012.11.077 · Cited by 55 · see citing works

Temporal Stability of Epigenetic Markers: Sequence Characteristics and Predictors of Short-Term DNA Methylation Variations

Byun, H., Nordio, F., Coull, B. A., Tarantini, L., Hou, L., Bonzini, M., Apostoli, P., Bertazzi, P. A., & Baccarelli, A. (2012) · PLoS ONE · doi:10.1371/journal.pone.0039220 · Cited by 54 · see citing works

Nature of Myeloid Cells Expressing Arginase 1 in Peripheral Blood After Trauma

Bryk, J., Popovič, P., Zenati, M. S., Munera, V., Pribis, J. P., & Ochoa, J. B. (2010) · The Journal of Trauma: Injury, Infection, and Critical Care · doi:10.1097/ta.0b013e3181b026e4 · Cited by 49 · see citing works

Blood-Derived DNA Methylation Markers of Cancer Risk

Marsit, C. J., & Christensen, B. C. (2012) · Advances in experimental medicine and biology · doi:10.1007/978-1-4419-9967-2_12 · Cited by 29 · see citing works

DNA methylation patterns in alcoholics and family controls

Thapar, M. (2012) · World Journal of Gastrointestinal Oncology · doi:10.4251/wjgo.v4.i6.138 · Cited by 16 · see citing works

The biophysics and cell biology of lipid droplets

Thiam, A. R., Farese Jr, R. V., & Walther, T. C. (2013) · Nature Reviews Molecular Cell Biology · doi:10.1038/nrm3699 · Cited by 986 · see citing works

A comparison of reference-based algorithms for correcting cell-type heterogeneity in Epigenome-Wide Association Studies

Teschendorff, A. E., Breeze, C. E., Zheng, S., & Beck, S. (2017) · BMC Bioinformatics · doi:10.1186/s12859-017-1511-5 · Cited by 548 · see citing works

Reference-free cell mixture adjustments in analysis of DNA methylation data

Houseman, E. A., Molitor, J., & Marsit, C. J. (2014) · Bioinformatics · doi:10.1093/bioinformatics/btu029 · Cited by 441 · see citing works

Epigenetics and human obesity

van Dijk, S. J., Molloy, P. L., Varinli, H., Morrison, J. L., Mühlhäusler, B. S., EpiSCOPE, M. O., Buckley, M. J., Clark, S. J., McMillen, I. C., Noakes, M., et al. (2014) · International Journal of Obesity · doi:10.1038/ijo.2014.34 · Cited by 359 · see citing works

Pan-cancer deconvolution of tumour composition using DNA methylation

Chakravarthy, A., Furness, A., Joshi, K., Ghorani, E., Ford, K., Ward, M. J., King, E. V., Lechner, M., Marafioti, T., Quezada, S. A., et al. (2018) · Nature Communications · doi:10.1038/s41467-018-05570-1 · Cited by 327 · see citing works

DNA extracted from saliva for methylation studies of psychiatric traits: evidence tissue specificity and relatedness to brain

Smith, A. K., Kilaru, V., Klengel, T., Mercer, K. B., Bradley, B., Conneely, K. N., Ressler, K. J., & Binder, E. B. (2015) · American Journal of Medical Genetics Part B: Neuropsychiatric Genetics · doi:10.1002/ajmg.b.32278 · Cited by 355 · see citing works

An integrated genetic-epigenetic analysis of schizophrenia: evidence for co-localization of genetic associations and differential DNA methylation

Hannon, E., Dempster, E., Viana, J., Burrage, J., Smith, A. R., Macdonald, R., St Clair, D., Mustard, C., Breen, G., Therman, S., et al. (2016) · Genome Biology · doi:10.1186/s13059-016-1041-x · Cited by 349 · see citing works

Guidance for DNA methylation studies: statistical insights from the Illumina EPIC array

Mansell, G., Gorrie-Stone, T. J., Bao, Y., Kumari, M., Schalkwyk, L. S., Mill, J., & Hannon, E. (2019) · BMC Genomics · doi:10.1186/s12864-019-5761-7 · Cited by 340 · see citing works

Early Experiences of Threat, but Not Deprivation, Are Associated With Accelerated Biological Aging in Children and Adolescents

Sumner, J. A., Colich, N. L., Uddin, M., Armstrong, D., & McLaughlin, K. A. (2019) · Biological Psychiatry · doi:10.1016/j.biopsych.2018.09.008 · Cited by 315 · see citing works

The PedBE clock accurately estimates DNA methylation age in pediatric buccal cells

McEwen, L. M., O’Donnell, K. J., McGill, M. G., Edgar, R. D., Jones, M. J., MacIsaac, J. L., Lin, D. T. S., Ramadori, K. E., Morin, A. M., Gladish, N., et al. (2019) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1820843116 · Cited by 277 · see citing works

Computational genomics tools for dissecting tumour–immune cell interactions

Hackl, H., Charoentong, P., Finotello, F., & Trajanoski, Z. (2016) · Nature Reviews Genetics · doi:10.1038/nrg.2016.67 · Cited by 266 · see citing works

Sparse PCA corrects for cell type heterogeneity in epigenome-wide association studies

Rahmani, E., Zaitlen, N., Baran, Y., Eng, C. S., Hu, D., Galanter, J., Oh, S. S., Burchard, E. G., Eskin, E., Zou, J., et al. (2016) · Nature Methods · doi:10.1038/nmeth.3809 · Cited by 268 · see citing works

Molecular Signatures of Major Depression

Cai, N., Chang, S., Li, Y., Li, Q., Hu, J., Liang, J., Song, L., Kretzschmar, W. W., Gan, X., Nicod, J., et al. (2015) · Current Biology · doi:10.1016/j.cub.2015.03.008 · Cited by 264 · see citing works

Intratumoral Heterogeneity of the Epigenome

Mazor, T., Pankov, A., Song, J. S., & Costello, J. (2016) · Cancer Cell · doi:10.1016/j.ccell.2016.03.009 · Cited by 215 · see citing works

Epigenome-wide association studies without the need for cell-type composition

Zou, J., Lippert, C., Heckerman, D. E., Aryee, M. J., & Listgarten, J. (2014) · Nature Methods · doi:10.1038/nmeth.2815 · Cited by 213 · see citing works

Characterizing genetic and environmental influences on variable DNA methylation using monozygotic and dizygotic twins

Hannon, E., Knox, O., Sugden, K., Burrage, J., Wong, C., Belsky, D. W., Corcoran, D., Arseneault, L., Moffitt, T., Caspi, A., et al. (2018) · PLoS Genetics · doi:10.1371/journal.pgen.1007544 · Cited by 187 · see citing works

Improving cell mixture deconvolution by identifying optimal DNA methylation libraries (IDOL)

Koestler, D. C., Jones, M. J., Usset, J. L., Christensen, B. C., Butler, R. A., Kobor, M. S., Wiencke, J. K., & Kelsey, K. T. (2016) · BMC Bioinformatics · doi:10.1186/s12859-016-0943-7 · Cited by 200 · see citing works

Genome-wide DNA methylation profiling in the superior temporal gyrus reveals epigenetic signatures associated with Alzheimer’s disease

Watson, C. T., Roussos, P., Garg, P., Ho, D. J., Azam, N., Katsel, P. L., Haroutunian, V., & Sharp, A. J. (2016) · Genome Medicine · doi:10.1186/s13073-015-0258-8 · Cited by 201 · see citing works

Review of processing and analysis methods for DNA methylation array data

Wilhelm-Benartzi, C. S., Koestler, D. C., Karagas, M. R., Flanagan, J. M., Christensen, B. C., Kelsey, K. T., Marsit, C. J., Houseman, E. A., & Brown, R. E. (2013) · British Journal of Cancer · doi:10.1038/bjc.2013.496 · Cited by 202 · see citing works

Immunoregulatory functions of VISTA

Nowak, E. C., Lines, J. L., Varn, F. S., Deng, J., Sarde, A., Mabaera, R., Kuta, A., Mercier, I. L., Cheng, C., & Noelle, R. J. (2017) · Immunological Reviews · doi:10.1111/imr.12525 · Cited by 200 · see citing works

Cell-type deconvolution from DNA methylation: a review of recent applications

Titus, A., Gallimore, R. M., Salas, L. A., & Christensen, B. C. (2017) · Human Molecular Genetics · doi:10.1093/hmg/ddx275 · Cited by 185 · see citing works

Leveraging DNA-Methylation Quantitative-Trait Loci to Characterize the Relationship between Methylomic Variation, Gene Expression, and Complex Traits

Hannon, E. J., Gorrie-Stone, T. J., Smart, M., Burrage, J., Hughes, A., Bao, Y., Meena Kumari, B., Schalkwyk, L. C., & Mill, J. S. (2018) · The American Journal of Human Genetics · doi:10.1016/j.ajhg.2018.09.007 · Cited by 191 · see citing works

Exposure to Violence Accelerates Epigenetic Aging in Children

Jovanović, T., Vance, L. A., Cross, D., Knight, A. K., Kilaru, V., Michopoulos, V., Klengel, T., & Smith, A. K. (2017) · Scientific Reports · doi:10.1038/s41598-017-09235-9 · Cited by 183 · see citing works

Epigenetic Control of Stem Cell Potential during Homeostasis, Aging, and Disease

Beerman, I., & Rossi, D. J. (2015) · Cell stem cell · doi:10.1016/j.stem.2015.05.009 · Cited by 178 · see citing works

Differential DNA Methylation in Umbilical Cord Blood of Infants Exposed to Low Levels of Arsenic in Utero

Koestler, D. C., Avissar-Whiting, M., Houseman, E. A., Karagas, M. R., & Marsit, C. J. (2013) · Environmental Health Perspectives · doi:10.1289/ehp.1205925 · Cited by 180 · see citing works

Oxytocin receptor genetic and epigenetic variations: Association with child abuse and adult psychiatric symptoms

Smearman, E. L., Almli, L. M., Conneely, K. N., Brody, G. H., Sales, J. M., Bradley, B., Ressler, K. J., & Smith, A. K. (2016) · Child Development · doi:10.1111/cdev.12493 · Cited by 173 · see citing works

Social and physical environments early in development predict DNA methylation of inflammatory genes in young adulthood

McDade, T., Ryan, C. P., Jones, M. J., MacIsaac, J., Morin, A. M., Meyer, J. M., Borja, J., Miller, G., Kobor, M., & Kuzawa, C. (2017) · Proceedings of the National Academy of Sciences of the United States of America · doi:10.1073/pnas.1620661114 · Cited by 151 · see citing works

The effects of long-term daily folic acid and vitamin B12 supplementation on genome-wide DNA methylation in elderly subjects

Kok, D. E. G., Dhonukshe-Rutten, R. A. M., Lute, C., Heil, S. G., Uitterlinden, A. G., van der Velde, N., van Meurs, J. B. J., van Schoor, N. M., Hooiveld, G. J. E. J., de Groot, C. P. G. M., et al. (2015) · Clinical Epigenetics · doi:10.1186/s13148-015-0154-5 · Cited by 168 · see citing works

DNA methylation–based immune response signature improves patient diagnosis in multiple cancers

Jeschke, J., Bizet, M., Desmedt, C., Calonne, E., Dedeurwaerder, S., Garaud, S., Koch, A., Larsimont, D., Salgado, R., den Eynden, G. V., et al. (2017) · Journal of Clinical Investigation · doi:10.1172/jci91095 · Cited by 157 · see citing works

Effect of prenatal arsenic exposure on DNA methylation and leukocyte subpopulations in cord blood

Kile, M. L., Houseman, E. A., Baccarelli, A., Quamruzzaman, Q., Rahman, M., Mostofa, G., Cárdenas, A., Wright, R. O., & Christiani, D. C. (2014) · Epigenetics · doi:10.4161/epi.28153 · Cited by 153 · see citing works

Concordant and discordant DNA methylation signatures of aging in human blood and brain

Farré, P., Jones, M. J., Meaney, M. J., Emberly, E. G., Turecki, G., & Kobor, M. S. (2015) · Epigenetics & Chromatin · doi:10.1186/s13072-015-0011-y · Cited by 145 · see citing works

Type 2 diabetes and leucocyte DNA methylation: an epigenome-wide association study in over 1,500 older adults

Florath, I., Butterbach, K., Heiss, J. A., Bewerunge‐Hudler, M., Zhang, Y., Schöttker, B., & Brenner, H. (2015) · Diabetologia · doi:10.1007/s00125-015-3773-7 · Cited by 145 · see citing works

DNA methylation meta-analysis reveals cellular alterations in psychosis and markers of treatment-resistant schizophrenia

Hannon, E., Dempster, E. L., Mansell, G., Burrage, J., Bass, N., Bohlken, M. M., Corvin, A., Curtis, C. J., Dempster, D., Di Forti, M., et al. (2021) · eLife · doi:10.7554/elife.58430 · Cited by 132 · see citing works

DNA Methylation in Whole Blood: Uses and Challenges

Houseman, E. A., Kim, S., Kelsey, K. T., & Wiencke, J. K. (2015) · Current Environmental Health Reports · doi:10.1007/s40572-015-0050-3 · Cited by 147 · see citing works

Quantitative reconstruction of leukocyte subsets using DNA methylation

Accomando, W. P., Wiencke, J. K., Houseman, E. A., Nelson, H. H., & Kelsey, K. T. (2014) · Genome biology · doi:10.1186/gb-2014-15-3-r50 · Cited by 147 · see citing works

Epigenome-Wide Association Studies (EWAS): Past, Present, and Future

Flanagan, J. M. (2014) · Methods in molecular biology · doi:10.1007/978-1-4939-1804-1_3 · Cited by 139 · see citing works

Epigenetics of idiopathic pulmonary fibrosis

Yang, I. V., & Schwartz, D. A. (2014) · Translational research · doi:10.1016/j.trsl.2014.03.011 · Cited by 142 · see citing works

Genome-wide methylation data mirror ancestry information

Rahmani, E., Shenhav, L., Schweiger, R., Yousefi, P., Huen, K., Eskenazi, B., Eng, C. S., Huntsman, S., Hu, D., Galanter, J., et al. (2017) · Epigenetics & Chromatin · doi:10.1186/s13072-016-0108-y · Cited by 141 · see citing works

Analysis of epigenetic changes in survivors of preterm birth reveals the effect of gestational age and evidence for a long term legacy

Cruickshank, M. N., Oshlack, A., Theda, C., Davis, P. G., Martino, D., Sheehan, P. M., Dai, Y., Saffery, R., Doyle, L. W., & Craig, J. M. (2013) · Genome Medicine · doi:10.1186/gm500 · Cited by 132 · see citing works

Epigenome-Wide Association Study of Incident Type 2 Diabetes in a British Population: EPIC-Norfolk Study

Cardona, A., Day, F. R., Perry, J. R. B., Loh, M. C. S., Chu, A. Y., Lehne, B. C., Paul, D. S., Lotta, L. A., Stewart, I. D., Kerrison, N. D., et al. (2019) · Diabetes · doi:10.2337/db18-0290 · Cited by 130 · see citing works

Epigenetic regulation of human placental function and pregnancy outcome: considerations for causal inference

Januar, V., Desoyé, G., Novakovic, B., Cvitic, S., & Saffery, R. (2015) · American Journal of Obstetrics and Gynecology · doi:10.1016/j.ajog.2015.07.011 · Cited by 126 · see citing works

Elevated polygenic burden for autism is associated with differential DNA methylation at birth

Hannon, E. J., Schendel, D., Ladd‐Acosta, C., Grove, J., iPSYCH-Broad ASD Group, Hansen, C. S., Andrews, S. V., HOUGAARD, D. M., Bresnahan, M. A., Mors, O. N., et al. (2018) · Genome Medicine · doi:10.1186/s13073-018-0527-4 · Cited by 117 · see citing works

Gestational Diabetes and Maternal Obesity Are Associated with Epigenome-Wide Methylation Changes in Children

Hjort, L., Martino, D., Grunnet, L. G., Naeem, H., Maksimovic, J., Olsson, A. H., Zhang, C., Ling, C., Olsen, S. F., Saffery, R., et al. (2018) · JCI Insight · doi:10.1172/jci.insight.122572 · Cited by 114 · see citing works

quantro: a data-driven approach to guide the choice of an appropriate normalization method

Hicks, S. C., & Irizarry, R. A. (2015) · Genome biology · doi:10.1186/s13059-015-0679-0 · Cited by 112 · see citing works

Transcriptomic and epigenetic changes in early liver steatosis associated to obesity: Effect of dietary methyl donor supplementation

Cordero, P., Campión, J., Milagro, F. I., & Martínez, J. A. (2013) · Molecular Genetics and Metabolism · doi:10.1016/j.ymgme.2013.08.022 · Cited by 111 · see citing works

Successful treatment of post-traumatic stress disorder reverses DNA methylation marks

Vinkers, C. H., Geuze, E., van Rooij, S. J. H., Kennis, M., Schür, R. R., Nispeling, D. M., Smith, A. K., Nievergelt, C. M., Uddin, M., Rutten, B. P. F., et al. (2021) · Molecular Psychiatry · doi:10.1038/s41380-019-0549-3 · Cited by 111 · see citing works

Cell type specific DNA methylation in cord blood: A 450K-reference data set and cell count-based validation of estimated cell type composition

Gervin, K., Page, C. M., Aass, H. C. D., Jansen, M. A. E., Fjeldstad, H. E., Kulle, B., Duijts, L., van Meurs, J. B. J., van Zelm, M. C., Jaddoe, V. W. V., et al. (2016) · Epigenetics · doi:10.1080/15592294.2016.1214782 · Cited by 100 · see citing works

Genome‐wide analysis of DNA methylation in relation to socioeconomic status during development and early adulthood

McDade, T. W., Ryan, C. P., Jones, M. J., Hoke, M. K., Borja, J. B., Miller, G. E., Kuzawa, C. W., & Kobor, M. S. (2019) · American Journal of Physical Anthropology · doi:10.1002/ajpa.23800 · Cited by 99 · see citing works

DICER1 and microRNA regulation in post-traumatic stress disorder with comorbid depression

Wingo, A. P., Almli, L. M., Stevens, J. S., Klengel, T., Uddin, M., Li, Y., Bustamante, A. C., Lori, A., Koen, N., Stein, D. J., et al. (2015) · Nature Communications · doi:10.1038/ncomms10106 · Cited by 98 · see citing works

Effects of age, sex, and persistent organic pollutants on DNA methylation in children

Huen, K., Yousefi, P., Bradman, A., Yan, L., Harley, K. G., Kogut, K. R., Eskenazi, B., & Holland, N. (2013) · Environmental and Molecular Mutagenesis · doi:10.1002/em.21845 · Cited by 97 · see citing works

Epigenetic Signatures as Biomarkers of Exposure

Ladd‐Acosta, C. (2015) · Current Environmental Health Reports · doi:10.1007/s40572-015-0051-2 · Cited by 98 · see citing works

MeDeCom: discovery and quantification of latent components of heterogeneous methylomes

Lutsik, P., Slawski, M., Gasparoni, G., Vedeneev, N., Hein, M., & Walter, J. (2017) · Genome biology · doi:10.1186/s13059-017-1182-6 · Cited by 96 · see citing works

An Epigenetic Signature in Peripheral Blood Associated with the Haplotype on 17q21.31, a Risk Factor for Neurodegenerative Tauopathy

Li, Y., Chen, J., Sears, R., Gao, F., Klein, E., Karydas, A., Geschwind, M. D., Rosen, H. J., Boxer, A. L., Guo, W., et al. (2014) · PLoS Genetics · doi:10.1371/journal.pgen.1004211 · Cited by 87 · see citing works

DNA methylation loci associated with atopy and high serum IgE: a genome-wide application of recursive Random Forest feature selection

Everson, T. M., Lyons, G., Zhang, H., Soto-Ramírez, N., Lockett, G. A., Patil, V. K., Merid, S. K., Sӧderhӓll, C., Melén, E., Holloway, J. W., et al. (2015) · Genome Medicine · doi:10.1186/s13073-015-0213-8 · Cited by 78 · see citing works

Gene-Specific Differential DNA Methylation and Chronic Arsenic Exposure in an Epigenome-Wide Association Study of Adults in Bangladesh

Argos, M., Chen, L., Jasmine, F., Lin, T., Pierce, B. L., Roy, S., Paul-Brutus, R., Gamble, M. V., Harper, K. N., Parvez, F., et al. (2014) · Environmental Health Perspectives · doi:10.1289/ehp.1307884 · Cited by 84 · see citing works

A varying T cell subtype explains apparent tobacco smoking induced single CpG hypomethylation in whole blood

Bauer, M., Linsel, G., Fink, B., Offenberg, K., Hahn, A. M., Sack, U., Knaack, H., Eszlinger, M., & Herberth, G. (2015) · Clinical Epigenetics · doi:10.1186/s13148-015-0113-1 · Cited by 78 · see citing works

Cytosine methylation predicts renal function decline in American Indians

Qiu, C., Hanson, R. L., Fufaa, G. D., Kobes, S., Gluck, C. A., Huang, J. Y., Chen, Y., Raj, D. S., Nelson, R. G., Knowler, W. C., et al. (2018) · Kidney International · doi:10.1016/j.kint.2018.01.036 · Cited by 78 · see citing works

Genome-wide blood DNA methylation alterations at regulatory elements and heterochromatic regions in monozygotic twins discordant for obesity and liver fat

Ollikainen, M., Ismail, K., Gervin, K., Kyllönen, A., Hakkarainen, A., Lundbom, J., Järvinen, E., Harris, J. R., Lundbom, N. M. I., Rissanen, A., et al. (2015) · Clinical Epigenetics · doi:10.1186/s13148-015-0073-5 · Cited by 79 · see citing works

DNA Methylation-Derived Neutrophil-to-Lymphocyte Ratio: An Epigenetic Tool to Explore Cancer Inflammation and Outcomes

Koestler, D. C., Usset, J. L., Christensen, B. C., Marsit, C. J., Karagas, M. R., Kelsey, K. T., & Wiencke, J. K. (2016) · Cancer Epidemiology Biomarkers & Prevention · doi:10.1158/1055-9965.epi-16-0461 · Cited by 76 · see citing works

Early- and late-onset preeclampsia and the tissue-specific epigenome of the placenta and newborn

Herzog, E. M., Eggink, A. J., Willemsen, S. P., Slieker, R. C., Wijnands, K. P. J., Felix, J. F., Chen, J., Stubbs, A., van der Spek, P. J., van Meurs, J. B. J., et al. (2017) · Placenta · doi:10.1016/j.placenta.2017.08.070 · Cited by 76 · see citing works

Exercise and epigenetic inheritance of disease risk

Denham, J. (2017) · Acta Physiologica · doi:10.1111/apha.12881 · Cited by 74 · see citing works

Integration of DNA methylation patterns and genetic variation in human pediatric tissues help inform EWAS design and interpretation

Islam, S. A., Goodman, S. J., MacIsaac, J. L., Obradović, J., Barr, R. G., Boyce, W. T., & Kobor, M. S. (2019) · Epigenetics & Chromatin · doi:10.1186/s13072-018-0245-6 · Cited by 73 · see citing works

Variable DNA methylation in neonates mediates the association between prenatal smoking and birth weight

Hannon, E. J., Schendel, D., Ladd‐Acosta, C., Grove, J., Hansen, C. S., HOUGAARD, D. M., Bresnahan, M. A., Mors, O. N., Hollegaard, M. V., Bækvad‐Hansen, M., et al. (2019) · Philosophical Transactions of the Royal Society B Biological Sciences · doi:10.1098/rstb.2018.0120 · Cited by 67 · see citing works

Differential DNA methylation in peripheral blood mononuclear cells in adolescents exposed to significant early but not later childhood adversity

Esposito, E. A., Jones, M. J., Doom, J. R., MacIsaac, J. L., Gunnar, M. R., & Kobor, M. S. (2016) · Development and Psychopathology · doi:10.1017/s0954579416000055 · Cited by 71 · see citing works

Immunomethylomic approach to explore the blood neutrophil lymphocyte ratio (NLR) in glioma survival

Wiencke, J. K., Koestler, D. C., Salas, L. A., Wiemels, J. L., Roy, R., Hansen, H. M., Rice, T., Mccoy, L. S., Bracci, P. M., Molinaro, A. M., et al. (2017) · Clinical Epigenetics · doi:10.1186/s13148-017-0316-8 · Cited by 70 · see citing works

Deconvolution of cellular subsets in human tissue based on targeted DNA methylation analysis at individual CpG sites

Schmidt, M. F., Maié, T., Dahl, E., Costa, I. G., & Wagner, W. (2020) · BMC Biology · doi:10.1186/s12915-020-00910-4 · Cited by 67 · see citing works

Tobacco smoking is associated with methylation of genes related to coronary artery disease

Steenaard, R. V., Ligthart, S., Stolk, L., Peters, M. J., van Meurs, J. B. J., Uitterlinden, A. G., Albert Hofman, D., Franco, O. H., & Dehghan, A. (2015) · Clinical Epigenetics · doi:10.1186/s13148-015-0088-y · Cited by 66 · see citing works

Epigenetic quantification of immunosenescent CD8+ TEMRA cells in human blood

Salumets, A., Tserel, L., Rumm, A. P., Türk, L., Kingo, K., Saks, K., Oras, A., Uibo, R., Tamm, R., Peterson, H., et al. (2022) · Aging Cell · doi:10.1111/acel.13607 · Cited by 65 · see citing works

Environmental Epigenetic Changes, as Risk Factors for the Development of Diseases in Children: A Systematic Review

Alvarado-Cruz, I., Alegría‐Torres, J. A., Montes-Castro, N., Jiménez-Garza, O., & Quintanilla‐Vega, B. (2018) · Annals of Global Health · doi:10.29024/aogh.909 · Cited by 66 · see citing works

Mediterranean Diet and Particulate Matter Exposure Are Associated With LINE-1 Methylation: Results From a Cross-Sectional Study in Women

Barchitta, M., Maugeri, A., Quattrocchi, A., Barone, G., Mazzoleni, P., Catalfo, A., Guidi, G. D., Iemmolo, M., Crimi, N., & Agodi, A. (2018) · Frontiers in Genetics · doi:10.3389/fgene.2018.00514 · Cited by 63 · see citing works

Adjusting for Cell Type Composition in DNA Methylation Data Using a Regression-Based Approach

Jones, M. J., Islam, S. A., Edgar, R. D., & Kobor, M. S. (2015) · Methods in molecular biology · doi:10.1007/7651_2015_262 · Cited by 62 · see citing works

Maternal caregiving and DNA methylation in human infants and children: systematic review

Provenzi, L., Brambilla, M., Scotto di Minico, G., Montirosso, R., & Borgatti, R. (2020) · Genes, Brain and Behavior · doi:10.1111/gbb.12616 · Cited by 60 · see citing works

Growth disrupting mutations in epigenetic regulatory molecules are associated with abnormalities of epigenetic agingPreprint

Jeffries, A. R., Maroofian, R., Salter, C. G., Chioza, B. A., Cross, H. E., Patton, M. A., Dempster, E. L., Temple, I. K., Mackay, D., Rezwan, F. I., et al. (2019) · Genome Research · doi:10.1101/gr.243584.118 · Cited by 57 · see citing works

Ancestry Dependent DNA Methylation and Influence of Maternal Nutrition

Mozhui, K., Smith, A. K., & Tylavsky, F. A. (2015) · PLoS ONE · doi:10.1371/journal.pone.0118466 · Cited by 58 · see citing works

BayesCCE: a Bayesian framework for estimating cell-type composition from DNA methylation without the need for methylation reference

Rahmani, E., Schweiger, R., Shenhav, L., Wingert, T., Hofer, I. S., Gabel, E., Eskin, E., & Halperin, E. (2018) · Genome biology · doi:10.1186/s13059-018-1513-2 · Cited by 59 · see citing works

Whole-Genome Saliva and Blood DNA Methylation Profiling in Individuals with a Respiratory Allergy

Langie, S. A. S., Szic, K. S. V., Declerck, K., Traen, S., Koppen, G., Camp, G. V., Schoeters, G. E. R., Berghe, W. V., & Boever, P. D. (2016) · PLoS ONE · doi:10.1371/journal.pone.0151109 · Cited by 58 · see citing works

Cell Type–Specific Methylome-wide Association Studies Implicate Neurotrophin and Innate Immune Signaling in Major Depressive Disorder

Chan, R. F., Turecki, G., Shabalin, A. A., Guintivano, J., Zhao, M., Xie, L. Y., van Grootheest, G., Kaminsky, Z. A., Dean, B., Penninx, B. W. J. H., et al. (2019) · Biological Psychiatry · doi:10.1016/j.biopsych.2019.10.014 · Cited by 60 · see citing works

Epigenetic studies in Developmental Origins of Health and Disease: pitfalls and key considerations for study design and interpretation

Yamada, L., & Chong, S. (2016) · Journal of Developmental Origins of Health and Disease · doi:10.1017/s2040174416000507 · Cited by 56 · see citing works

A comprehensive assessment of immunophenotyping performed in cryopreserved peripheral whole blood

Verschoor, C. P., Kohli, V., & Balion, C. M. (2017) · Cytometry Part B Clinical Cytometry · doi:10.1002/cyto.b.21526 · Cited by 52 · see citing works

A systematic review of studies of DNA methylation in the context of a weight loss intervention

Aronica, L., Levine, A. J., Brennan, K., Mi, J., Gardner, C. D., Haile, R. W., & Hitchins, M. P. (2017) · Epigenomics · doi:10.2217/epi-2016-0182 · Cited by 52 · see citing works

Racial Variation in Breast Tumor Promoter Methylation in the Carolina Breast Cancer Study

Conway, K., Edmiston, S. N., Tse, C., Bryant, C., Kuan, P. F., Hair, B. Y., Parrish, E., May, R., & Swift‐Scanlan, T. (2015) · Cancer Epidemiology Biomarkers & Prevention · doi:10.1158/1055-9965.epi-14-1228 · Cited by 52 · see citing works

Grasping nettles: cellular heterogeneity and other confounders in epigenome-wide association studies

Liang, L., & Cookson, W. (2014) · Human Molecular Genetics · doi:10.1093/hmg/ddu284 · Cited by 51 · see citing works

Intergenerational effects of maternal post-traumatic stress disorder on offspring epigenetic patterns and cortisol levels

Hjort, L., Rushiti, F., Wang, S.-J., Fransquet, P., P Krasniqi, S., I Çarkaxhiu, S., Arifaj, D., Xhemaili, V. D., Salihu, M., A Leku, N., et al. (2021) · Epigenomics · doi:10.2217/epi-2021-0015 · Cited by 51 · see citing works

Particulate matter exposure is associated with inflammatory gene methylation in obese subjects

Cantone, L., Iodice, S., Tarantini, L., Albetti, B., Restelli, I., Vigna, L., Bonzini, M., Pesatori, A. C., & Bollati, V. (2016) · Environmental Research · doi:10.1016/j.envres.2016.11.002 · Cited by 50 · see citing works

Dietary Patterns are Associated with Leukocyte LINE-1 Methylation in Women: A Cross-Sectional Study in Southern Italy

Barchitta, M., Maugeri, A., Lio, R. M. S., Favara, G., Rosa, M. C. L., Mastra, C. L., Quattrocchi, A., & Agodi, A. (2019) · Nutrients · doi:10.3390/nu11081843 · Cited by 48 · see citing works

Genomic 5-mC contents in peripheral blood leukocytes were independent protective factors for coronary artery disease with a specific profile in different leukocyte subtypes

Deng, Q., Huang, W., Peng, C., Gao, J., Li, Z., Qiu, X., Yang, N., Yuan, B., & Zheng, F. (2018) · Clinical Epigenetics · doi:10.1186/s13148-018-0443-x · Cited by 51 · see citing works

DNA methylation and associated gene expression in blood prior to lung cancer diagnosis in the Norwegian Women and Cancer cohort

Sandanger, T. M., Nøst, T. H., Guida, F., Rylander, C., Campanella, G., Muller, D. C., van Dongen, J., Boomsma, D. I., Johansson, M., Vineis, P., et al. (2018) · Scientific Reports · doi:10.1038/s41598-018-34334-6 · Cited by 47 · see citing works

Effect of short-term prescription opioids on DNA methylation of the OPRM1 promoter

Sandoval-Sierra, J. V., García, F. I. S., Brooks, J. H., Derefinko, K. J., & Mozhui, K. (2020) · Clinical Epigenetics · doi:10.1186/s13148-020-00868-8 · Cited by 47 · see citing works

Tobacco smoking is associated with DNA methylation of diabetes susceptibility genes

Ligthart, S., Steenaard, R. V., Peters, M. J., van Meurs, J. B. J., Sijbrands, E. J. G., Uitterlinden, A. G., Bonder, M. J., Albert Hofman, D., Franco, O. H., & Dehghan, A. (2016) · Diabetologia · doi:10.1007/s00125-016-3872-0 · Cited by 46 · see citing works

Prediagnostic Immune Cell Profiles and Breast Cancer

Kresovich, J. K., O’Brien, K. M., Xu, Z., Weinberg, C. R., Sandler, D. P., & Taylor, J. A. (2020) · JAMA Network Open · doi:10.1001/jamanetworkopen.2019.19536 · Cited by 43 · see citing works

Validation of a DNA methylation reference panel for the estimation of nucleated cells types in cord blood

Cárdenas, A., Allard, C., Doyon, M., Houseman, E. A., Bakulski, K. M., Perron, P., Bouchard, L., & Hivert, M. (2016) · Epigenetics · doi:10.1080/15592294.2016.1233091 · Cited by 44 · see citing works

Differential DNA methylation and changing cell-type proportions as fibrotic stage progresses in NAFLD

Johnson, N. D., Wu, X., Still, C. D., Chu, X., Petrick, A. T., Gerhard, G. S., Conneely, K. N., & DiStefano, J. K. (2021) · Clinical Epigenetics · doi:10.1186/s13148-021-01129-y · Cited by 43 · see citing works

DNA methylation-based measures of biological aging and cognitive decline over 16-years: preliminary longitudinal findings in midlife

Reed, R. G., Carroll, J., Marsland, A. L., & Manuck, S. B. (2022) · Aging · doi:10.18632/aging.204376 · Cited by 39 · see citing works

Accelerated Pace of Aging in Schizophrenia: Five Case-Control Studies

Caspi, A., Shireby, G. L., Mill, J. S., Moffitt, T. E., Sugden, K., & Hannon, E. J. (2023) · Biological Psychiatry · doi:10.1016/j.biopsych.2023.10.023 · Cited by 39 · see citing works

Epigenetic Biomarkers of Breast Cancer Risk: Across the Breast Cancer Prevention Continuum

Terry, M. B., McDonald, J. A., Wu, H. C., Eng, S. M., & Santella, R. M. (2016) · Advances in experimental medicine and biology · doi:10.1007/978-3-319-22909-6_2 · Cited by 39 · see citing works

The meta-epigenomic structure of purified human stem cell populations is defined at cis-regulatory sequences

Wijetunga, N. A., Delahaye, F., Zhao, Y. M., Golden, A., Mar, J. C., Einstein, F. H., & Greally, J. M. (2014) · Nature Communications · doi:10.1038/ncomms6195 · Cited by 37 · see citing works

An index of the ratio of inflammatory to antiviral cell types mediates the effects of social adversity and age on chronic illness

Simons, R. L., Lei, M.-K., Beach, S. R. H., Barr, A. B., Cutrona, C. E., Gibbons, F. X., & Philibert, R. A. (2017) · Social Science & Medicine · doi:10.1016/j.socscimed.2017.03.005 · Cited by 38 · see citing works

Global Measures of Peripheral Blood-Derived DNA Methylation as a Risk Factor in the Development of Mature B-Cell Neoplasms

Doo, N. W., Makalic, E., Joo, J. E., Vajdic, C. M., Schmidt, D. F., Wong, E. M., Jung, C., Severi, G., Park, D. J., Chung, J., et al. (2015) · Epigenomics · doi:10.2217/epi.15.97 · Cited by 37 · see citing works

Cell-type-specific disturbance of DNA methylation pattern: a chance to get more benefit from and to minimize cohorts for epigenome-wide association studies

Bauer, M. (2018) · International Journal of Epidemiology · doi:10.1093/ije/dyy029 · Cited by 36 · see citing works

Genome-wide assays that identify and quantify modified cytosines in human disease studies

Ulahannan, N., & Greally, J. M. (2015) · Epigenetics & Chromatin · doi:10.1186/1756-8935-8-5 · Cited by 36 · see citing works

Training a Model for Estimating Leukocyte Composition using Whole-Blood DNA Methylation and Cell Counts as Reference

Heiss, J. A., Breitling, L. P., Lehne, B. C., Kooner, J. S., Chambers, J. C., & Brenner, H. (2016) · Epigenomics · doi:10.2217/epi-2016-0091 · Cited by 20 · see citing works

Accurate prediction of cell composition, age, smoking consumption and infection serostatus based on blood DNA methylation profilesPreprint

Bergstedt, J., Urrutia, A., Duffy, D., Albert, M. L., Quintana‐Murci, L., & Patin, É. (2018) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/456996 · Cited by 1 · see citing works

Heterogeneity in White Blood Cells Has Potential to Confound DNA Methylation Measurements

Aðalsteinsson, B. Þ., Guðnason, H., Aspelund, T., Harris, T. B., Launer, L. J., Eiríksdóttir, G., Smith, A. V., & Gudnason, V. G. (2012) · PLoS ONE · doi:10.1371/journal.pone.0046705 · Cited by 203 · see citing works

Differential DNA Methylation in Purified Human Blood Cells: Implications for Cell Lineage and Studies on Disease Susceptibility

Reinius, L. E., Acevedo, N., Joerink, M., Pershagen, G., Dahlén, S., Greco, D., Söderhäll, C., Scheynius, A., & Kere, J. (2012) · PLoS ONE · doi:10.1371/journal.pone.0041361 · Cited by 1,019 · see citing works

Epi-Blood-Count: leukocyte differential counts based on DNA methylation levels at individual CpG sites

Frobel, J., Božić, T., Lenz, M., Uciechowski, P., Han, Y., Herwartz, R., Strathmann, K., Isfort, S., Panse, J., Esser, A., et al. (2017) · Experimental Hematology · doi:10.1016/j.exphem.2017.06.256