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DNA methylation contributes to natural human variation
Open accessAbstract
DNA methylation patterns are important for establishing cell, tissue, and organism phenotypes, but little is known about their contribution to natural human variation. To determine their contribution to variability, we have generated genome-scale DNA methylation profiles of three human populations (Caucasian-American, African-American, and Han Chinese-American) and examined the differentially methylated CpG sites. The distinctly methylated genes identified suggest an influence of DNA methylation on phenotype differences, such as susceptibility to certain diseases and pathogens, and response to drugs and environmental agents. DNA methylation differences can be partially traced back to genetic variation, suggesting that differentially methylated CpG sites serve as evolutionarily established mediators between the genetic code and phenotypic variability. Notably, one-third of the DNA methylation differences were not associated with any genetic variation, suggesting that variation in population-specific sites takes place at the genetic and epigenetic levels, highlighting the contribution of epigenetic modification to natural human variation.
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“Only Caucasian individuals were eligible for study participation based on evidence that DNA methylation varies across race/ethnicity (Bakermans-Kranenburg, & Van Iljezdoorn, 2014; Heyn, et al., 2013; Liu et al., 2010).”
From Associations between oxytocin receptor gene (OXTR) methylation, plasma oxytocin, and attachment across adulthood (2019) · cites this paper as Heyn, et al., 2013
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“Being the first adult developmental examination into this topic, we held race/ethnicity constant to only Caucasian participants based on evidence that DNA methylation varies across race/ethnicity (Bakermans-Kranenburg & Van Iljezdoorn, 2014, Heyn, et al., 2013, Liu et al., 2010).”
From Associations between oxytocin receptor gene (OXTR) methylation, plasma oxytocin, and attachment across adulthood (2019) · cites this paper as Heyn, et al., 2013
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Cites
R: A Language and Environment for Statistical Computing
R Core Team (2000) · doi:10.32614/r.manuals · Cited by 355,893
Fast and accurate short read alignment with Burrows-Wheeler transform
Li, H., & Durbin, R. (2009) · Bioinformatics · doi:10.1093/bioinformatics/btp324 · Cited by 58,607
PLINK: a tool set for whole-genome association and population-based linkage analyses.
Purcell, S., Neale, B., Todd-Brown, K., Thomas, L., Ferreira, M. A. R., Bender, D., Maller, J., Sklar, P., de Bakker, P. I. W., Daly, M. J., et al. (2007) · The American Journal of Human Genetics · doi:10.1086/519795 · Cited by 34,089
Classification and Regression by randomForest
Liaw, A. I., & Wiener, M. C. (2007) · Cited by 18,594
An integrated encyclopedia of DNA elements in the human genome
The ENCODE Project Consortium (2012) · Nature · doi:10.1038/nature11247 · Cited by 18,072
Self-citationBioconductor: open software development for computational biology and bioinformatics
Gentleman, R. C., Carey, V. J., Bates, D. M., Bolstad, B., Dettling, M., Dudoit, S., Ellis, B., Gautier, L., Ge, Y., Gentry, J., et al. (2004) · Genome biology · doi:10.1186/gb-2004-5-10-r80 · Cited by 12,082
Circos: An information aesthetic for comparative genomicsPreprint
Krzywinski, M. I., Schein, J. E., Birol, İ., Connors, J. M., Gascoyne, R. D., Horsman, D. E., Jones, S. J. M., & Marra, M. A. (2009) · Genome Research · doi:10.1101/gr.092759.109 · Cited by 11,073
Exploration, normalization, and summaries of high density oligonucleotide array probe level data
Irizarry, R. A. (2003) · Biostatistics · doi:10.1093/biostatistics/4.2.249 · Cited by 10,603
Fast model-based estimation of ancestry in unrelated individuals
Alexander, D. H., Novembre, J., & Lange, K. (2009) · Genome Research · doi:10.1101/gr.094052.109 · Cited by 9,898
A map of human genome variation from population-scale sequencing.
The 1000 Genomes Project Consortium (2010) · Nature · doi:10.1038/nature09534 · Cited by 7,877
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Rijlaarsdam, M. A., van der Zwan, Y. G., Dorssers, L. C. J., & Looijenga, L. H. J. (2014) · BMC Bioinformatics · doi:10.1186/1471-2105-15-141 · Cited by 20
Luijk, R., Goeman, J. J., Slagboom, P. E., Heijmans, B. T., & van Zwet, E. W. (2014) · Bioinformatics · doi:10.1093/bioinformatics/btu654 · Cited by 17
Niu, N., Liu, T., Cairns, J., Ly, R. C., Tan, X., Deng, M., Fridley, B. L., Kalari, K. R., Abo, R., Jenkins, G. D., et al. (2016) · Human Molecular Genetics · doi:10.1093/hmg/ddw301 · Cited by 19
Self-citationNGSmethDB 2017: enhanced methylomes and differential methylation
Lebrón, R., Gómez‐Martín, C., Carpena, P., Bernaola‐Galván, P., Barturen, G., Hackenberg, M., & Oliver, J. L. T. (2016) · Nucleic Acids Research · doi:10.1093/nar/gkw996 · Cited by 19
Tsuboi, Y., Yamada, H., Munetsuna, E., Yamazaki, M., Mizuno, G., Murase, Y., Ohashi, K., Ishikawa, H., Kondo, M., Inoue, T., et al. (2018) · Journal of Atherosclerosis and Thrombosis · doi:10.5551/jat.43570 · Cited by 18
Housman, G., Quillen, E. E., & Stone, A. C. (2020) · American Journal of Physical Anthropology · doi:10.1002/ajpa.24041 · Cited by 18
Perspectives on folate with special reference to epigenetics and neural tube defects
Gurugubelli, K. R., & Ballambattu, V. B. (2024) · Reproductive Toxicology · doi:10.1016/j.reprotox.2024.108576 · Cited by 23
The humankind genome: from genetic diversity to the origin of human diseases
Belizário, J. E. (2013) · Genome · doi:10.1139/gen-2013-0125 · Cited by 19
Frost, D. B., da Silveira, W. A., Hazard, E. S., Atanelishvili, I., Wilson, R. C., Flume, J., Day, K. L., Oates, J. C., Bogatkevich, G. S., Feghali‐Bostwick, C. A., et al. (2021) · Genes · doi:10.3390/genes12020129 · Cited by 18
Ventham, N. T., Kennedy, N. A., Kalla, R., Adams, A. T., Noble, A. J., Ennis, H., Arnott, I. D., Cahill, A., Smith, M., Ahmad, T., et al. (2023) · Cellular and Molecular Gastroenterology and Hepatology · doi:10.1016/j.jcmgh.2023.06.001 · Cited by 16
Lin, Z., Lü, Y., Yu, G., Teng, H., Wang, B., Yang, Y., Li, Q., Sun, Z. S., Xu, S., Wang, W., et al. (2023) · Science China Life Sciences · doi:10.1007/s11427-022-2284-8 · Cited by 16
Epigenetics and the Burden of Noncommunicable Disease: A Paucity of Research in Africa
Hobbs, A., & Ramsay, M. (2015) · Epigenomics · doi:10.2217/epi.15.17 · Cited by 17
Genome-wide DNA methylation analysis in Chinese Chenghua and Yorkshire pigs
Wang, K., Wu, P., Wang, S., Ji, X., Chen, D., Jiang, A., Xiao, W., Gu, Y., Jiang, Y., Zeng, Y., et al. (2021) · BMC Genomic Data · doi:10.1186/s12863-021-00977-0 · Cited by 15
vonHoldt, B. M., Heppenheimer, E., Petrenko, V., Croonquist, P. A., & Rutledge, L. Y. (2017) · Journal of Heredity · doi:10.1093/jhered/esx004 · Cited by 16
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Osborne, A. (2017) · Bioscience Horizons The International Journal of Student Research · doi:10.1093/biohorizons/hzx007 · Cited by 16
Skyberg, A. M., Newman, B. T., Graves, A. J., Goldstein, A. M., Brindley, S. R., Kim, M., Druzgal, T. J., Connelly, J. J., & Morris, J. P. (2023) · Translational Psychiatry · doi:10.1038/s41398-023-02380-y · Cited by 17
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Ramos, P. S. (2019) · Journal of Scleroderma and Related Disorders · doi:10.1177/2397198319855872 · Cited by 15
Transcriptional heterogeneity in the lactase gene within cell-type is linked to the epigenome
Oh, E. S., Jeremian, R., Oh, G., Groot, D. E., Susic, M., Lee, K., Foy, K. K., Laird, P. W., Petronis, A., & Labrie, V. (2017) · Scientific Reports · doi:10.1038/srep41843 · Cited by 16
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Rana, A. K. (2018) · Journal of Biomedicine · doi:10.7150/jbm.22760 · Cited by 14
Czaja, A. J. (2018) · Digestive Diseases and Sciences · doi:10.1007/s10620-018-5072-x · Cited by 14
Cacabelos, R., & Torrellas, C. (2016) · Elsevier eBooks · doi:10.1016/b978-0-12-803239-8.00032-6 · Cited by 16
DNA Methylation in Ovarian Cancer Susceptibility
Reid, B. M., & Fridley, B. L. (2020) · Cancers · doi:10.3390/cancers13010108 · Cited by 13
Epigenomic Modifications in Modern and Ancient Genomes
Niiranen, L., Leciej, D., Edlund, H., Bernhardsson, C., Fraser, M., Sánchez‐Quinto, F., Herzig, K., Jakobsson, M., Walkowiak, J., & Thalmann, O. (2022) · Genes · doi:10.3390/genes13020178 · Cited by 17
Vidaki, A., Johansson, C., & Giangasparo, F. (2017) · Forensic Science International Genetics · doi:10.1016/j.fsigen.2017.04.010 · Cited by 14
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Qin, L., Xu, Q., Li, Z., Chen, L., Li, Y., Yang, N., Liu, Z., Guo, J., Shen, L. H., Allen, E. G., et al. (2019) · Human Molecular Genetics · doi:10.1093/hmg/ddz273 · Cited by 14
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Kalyakulina, A., Yusipov, I., Kondakova, E., Bacalini, M. G., Giuliani, C., Sivtseva, T. M., Semenov, S., Ksenofontov, A., Nikolaeva, M., Хуснутдинова, Э. К., et al. (2023) · Clinical Epigenetics · doi:10.1186/s13148-023-01600-y · Cited by 12
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Vohra, M., Adhikari, P., Souza, S. C. D., Nagri, S. K., Umakanth, S., Satyamoorthy, K., & Rai, P. S. (2020) · Laboratory Investigation · doi:10.1038/s41374-020-0422-7 · Cited by 14
Lindner, M., Gawehns, F., Molder, S. T., Visser, M. E., van Oers, K., & Laine, V. N. (2021) · Molecular Ecology Resources · doi:10.1111/1755-0998.13493 · Cited by 13
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Richardson, T. G., Shihab, H. A., Hemani, G., Zheng, J., Hannon, E. J., Mill, J. S., Carnero‐Montoro, E., Bell, J. T., Lyttleton, O., McArdle, W. L., et al. (2016) · Human Molecular Genetics · doi:10.1093/hmg/ddw283 · Cited by 13
Liang, Y., & Peng, Y. P. (2020) · Cell Biology International · doi:10.1002/cbin.11508 · Cited by 13
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Capra, E., Lazzari, B., Milanesi, M., Nogueira, G. D. P., Garcia, J. F., Utsunomiya, Y. T., Ajmone‐Marsan, P., & Stella, A. (2023) · Epigenetics · doi:10.1080/15592294.2022.2163363 · Cited by 13
Zhang, G., Wang, K., Schultz, E., Khoo, S., Zhang, X., Annamalay, A. A., Laing, I. A., Hales, B. J., Goldblatt, J., & Souëf, P. N. L. (2015) · Environmental and Molecular Mutagenesis · doi:10.1002/em.21989 · Cited by 12
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Zhao, M., Cai, M., Lei, F., Yuan, X., Liu, Q., Fang, Y., & Zhu, B. (2024) · Forensic Science International · doi:10.1016/j.forsciint.2024.112339 · Cited by 13
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Govindaraju, D. R. (2014) · Advances in genetics · doi:10.1016/b978-0-12-800149-3.00001-9 · Cited by 11
Kumar, A., Singh, P., Pandey, A., & Gosipatala, S. B. (2020) · Molecular Biology Reports · doi:10.1007/s11033-020-05747-2 · Cited by 11
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Bińkowski, J., Taryma‐Leśniak, O., Łuczkowska, K., Niedzwiedź, A. A., Lechowicz, K., Strapagiel, D., Jarczak, J., Dávalos, V., Pujol, A., Esteller, M., et al. (2022) · Biomedicine & Pharmacotherapy · doi:10.1016/j.biopha.2022.113396 · Cited by 10
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de la Rocha, C., Zaina, S., & Lund, G. (2020) · Current Atherosclerosis Reports · doi:10.1007/s11883-020-00875-3 · Cited by 9
Hanghøj, K., & Orlando, L. (2018) · Population genomics · doi:10.1007/13836_2018_18 · Cited by 10
Das, S. S., Mitra, A., & Chakravorty, N. (2018) · Genomics · doi:10.1016/j.ygeno.2018.01.002 · Cited by 10
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Farkas, S. A. (2014) · KTH Publication Database DiVA (KTH Royal Institute of Technology) · Cited by 10
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Bernadou, A., Czaczkes, T. J., & Heinze, J. (2017) · Insectes Sociaux · doi:10.1007/s00040-017-0594-3 · Cited by 9
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Daca‐Roszak, P., Jaksik, R., Paczkowska, J., Witt, M., & Ziętkiewicz, E. (2020) · BMC Genomics · doi:10.1186/s12864-020-07092-x · Cited by 9
Monteagudo, A., Sánchez-Delgado, M., Ciurana, S. G., Medrano, J. V., Poo-Llanillo, M. E., Ishida, M., Moore, G. E., Iglesias‐Platas, I., Simón, C., & Monk, D. (2018) · OBM Genetics · doi:10.21926/obm.genet.1803026 · Cited by 8
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Wu, L., Zhao, H.-B., Wen, C., Li, Y., Shao, Y., Zhu, Y., & Zhou, H. (2016) · European Journal of Drug Metabolism and Pharmacokinetics · doi:10.1007/s13318-016-0376-8 · Cited by 10
Leng, S., Wu, G., Collins, L. B., Thomas, C. L., Tellez, C. S., Jauregui, A. R., Picchi, M. A., Zhang, X., Juri, D. E., Desai, D. H., et al. (2015) · Cancer Research · doi:10.1158/0008-5472.can-15-0243 · Cited by 9
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Julian, C. G. (2019) · Frontiers in Physiology · doi:10.3389/fphys.2019.01397 · Cited by 8
Kader, F., Ghai, M., & Zhou, M. M. (2020) · Forensic Science International · doi:10.1016/j.forsciint.2020.110372 · Cited by 9
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Höglund, A., Henriksen, R., Churcher, A. M., Guerrero‐Bosagna, C., Barrio, Á. M., Johnsson, M., Jensen, P., & Wright, D. (2024) · PLoS Genetics · doi:10.1371/journal.pgen.1010719 · Cited by 6
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Dumitrascu, B., Darnell, G., Ayroles, J. F., & Engelhardt, B. E. (2015) · arXiv (Cornell University) · doi:10.48550/arxiv.1512.01616 · Cited by 6
Hüther, P., Hagmann, J., Nunn, A., Kakoulidou, I., Pisupati, R., Langenberger, D., Weigel, D., Johannes, F. M., Schultheiß, S. J., & Becker, C. (2022) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2022.01.06.475031 · Cited by 6
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Ren, J., Shen, F., Zhang, L., Sun, J., Yang, M., Yang, M., Hou, R., Yue, B., & Zhang, X. (2019) · PeerJ · doi:10.7717/peerj.7847 · Cited by 5
Giovanni, A. D., Giuliani, C., Marini, M., & Luiselli, D. (2021) · Applied Sciences · doi:10.3390/app112311179 · Cited by 5
Coto-Vílchez, C., Martínez-Magaña, J. J., Mora-Villalobos, L., Valerio, D., Genis-Mendoza, A. D., Silverman, J. M., Nicolini, H., Raventós, H., & Chavarria-Soley, G. (2021) · CNS Spectrums · doi:10.1017/s109285292100105x · Cited by 5
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Baker, E. C., Earnhardt-San, A. L., Cilkiz, K. Z., Littlejohn, B. P., Cardoso, R. C., Ghaffari, N., Long, C. R., Riggs, P. K., Randel, R. D., Welsh, T. H., et al. (2023) · Biology · doi:10.3390/biology12020252 · Cited by 5
Systematic investigation of interindividual variation of DNA methylation in human whole blood
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Metadata
- Authors
- Heyn, H., Moran, S., Hernando-Herraez, I., Sayols, S., Gomez, A., Sandoval, J., Monk, D., Hata, K., Marques-Bonet, T., Wang, L., & Esteller, M.
- Affiliations
- Institut d'Investigació Biomédica de Bellvitge (ES)
- Consejo Superior de Investigaciones Científicas (ES)
- National Research Institute for Child Health and Development (JP)
- Mayo Clinic (US)
- Institució Catalana de Recerca i Estudis Avançats (ES)
- Corresponding author
- Wang, Liewei
- Esteller, Manel
- ORCID
- Venue
- Genome Research
- Publisher
- Cold Spring Harbor Laboratory
- Published
- 2013-08-01
- Volume
- 23
- Issue
- 9
- Pages
- 1363-1372
- ISSN
- 1088-9051 (ISSN-L)
- PMC
- PMC3759714
- OpenAlex
- W2095727856
- Cited by
- 408
- References
- 59
- Citations by year
- 2026: 8 · 2025: 18 · 2024: 22 · 2023: 23 · 2022: 34 · 2021: 19 · 2020: 40 · 2019: 29 · 2018: 49 · 2017: 40 · 2016: 46 · 2015: 54 · 2014: 22 · 2013: 3
- Type
- posted content
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- other-oa
- Locations
- Genome Research (publishedVersion, other-oa)
- Europe PMC (PubMed Central) (publishedVersion, cc-by-nc)
- PubMed Central (publishedVersion, cc-by-nc)
- PubMed (publishedVersion)
- RECERCAT (Consorci de Serveis Universitaris de Catalunya) (publishedVersion, other-oa)
- DIGITAL.CSIC (Spanish National Research Council (CSIC)) (submittedVersion, cc-by-nc)
- Dipòsit Digital de la Universitat de Barcelona (Universitat de Barcelona) (submittedVersion, cc-by-nc)
- HighWire Press Open Archive (submittedVersion)
- Repositori digital de la UPF (Universitat Pompeu Fabra) (submittedVersion, cc-by-nc)
- Funders
- Fundación Cellex (SAF2011-22803)
- European Commission (282510)
- Generalitat de Catalunya
- Institució Catalana de Recerca i Estudis Avançats
- Ministerio de Ciencia e Innovación (SAF2011-22803, BFU2011-28549)
- National Institutes of Health (GM61388)
- National Cancer Institute (CA138461, R01CA138461)
- National Institute of General Medical Sciences (U01GM061388, U19GM061388, GM61388)
- FP7 Ideas: European Research Council (268626, 260372)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Epigenetics and DNA Methylation
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genetic Associations and Epidemiology
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Genomics and Chromatin Dynamics
- Keywords
- DNA methylation, differentially methylated CpG sites, epigenetic inheritance, genetic variation, disease susceptibility, drug response, phenotypic variability, African Americans, Han Chinese, White Americans
- MeSH terms
- Adult, Asian, Black or African American, Female, Humans, Male, Population, Genetic Variation, Genome, Human, DNA Methylation, Quantitative Trait Loci, Epigenesis, Genetic, White People, Genome-Wide Association Study
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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
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