9.9
CiteScore
7.1
Impact Factor
Turn off MathJax
Article Contents

Haplotype-resolved methylation profiling across three generations reveals principles of human epigenetic inheritance

doi: 10.1016/j.jgg.2026.03.011
Funds:

the High-quality Science and Technology Journal Construction Project of Guangdong Province (2025B1212100003 and 2025B1212070003)

This work was supported by grants from the National Key R &

and research grants from Hong Kong SAR, including the Collaborative Research Grant (C4049-23EF) and Theme-based Research Scheme (T12-716/22-R and T11-709/21-N) from the Research Grants Council of the Hong Kong SAR.Thanks to Wenjing Wei and Long Zhou from Zhejiang University for their support in data transfer and server use and Yafei Mao from Shanghai Jiao Tong University for his guidance on data analysis. Thanks also for the support from the Innovation Program of the Chinese Academy of Agricultural Sciences and the Agricultural Science and Technology Innovation Program (CAAS-ZDRW202503).

D Program of China (2025YFC3410300)

  • Received Date: 2025-12-14
  • Accepted Date: 2026-03-13
  • Rev Recd Date: 2026-03-12
  • Available Online: 2026-03-30
  • Epigenetic inheritance is fundamental to human development and disease, yet the mechanisms governing the transmission of DNA methylation across generations remain incompletely understood. In this study, we performed haplotype-resolved, whole-genome DNA methylation profiling in a healthy three-generation Chinese family, leveraging high-depth Oxford Nanopore Technologies (ONT) and PacBio HiFi long-read sequencing, anchored to a proband-specific telomere-to-telomere (T2T) genome assembly. We observed globally conserved bimodal methylation landscapes across all individuals and generations. Stratified analyses revealed clear functional compartmentalization of methylation marks, characterized by distinct hypomethylation in centromeres and hypermethylation in retrotransposons and repetitive elements. Chromosome-resolved analysis of ribosomal DNA (rDNA) arrays demonstrated a domain-specific methylation pattern with hypomethylation in the transcriptional core and hypermethylation in the intergenic spacer, with evidence for age-associated epigenetic drift in the transcriptional core domain. Through de novo identification and validation, we mapped 23 high-confidence imprinting control regions (ICRs) showing robust parent-of-origin-specific methylation, all overlapping known imprinted genes and enriched for regulatory element signatures. Haplotype-resolved X chromosome analysis further uncovered sex- and allele-specific methylation patterns linked to X inactivation dynamics. Together, this pedigree-scale, high-resolution study delineates the landscape and principles of intergenerational DNA methylation inheritance, revealing both conserved and dynamic features shaping the human epigenome.
  • loading
  • Akbari, V., Garant, J.M., O'Neill, K., Pandoh, P., Moore, R., Marra, M.A., Hirst, M., Jones, S.J., 2022. Genome-wide detection of imprinted differentially methylated regions using nanopore sequencing. eLife 11, e77898.
    Altemose, N., Logsdon, G.A., Bzikadze, A.V., Sidhwani, P., Langley, S.A., Caldas, G.V., Hoyt, S.J., Uralsky, L., Ryabov, F.D., Shew, C.J., et al., 2022. Complete genomic and epigenetic maps of human centromeres. Science 376, eabl4178.
    Arnaud, P., 2010. Genomic imprinting in germ cells: imprints are under control. Reproduction 140, 411-423.
    Ball, M.P., Li, J.B., Gao, Y., Lee, J.H., LeProust, E.M., Park, I.H., Xie, B., Daley, G.Q., Church, G.M., 2009. Targeted and genome-scale strategies reveal gene-body methylation signatures in human cells. Nat. Biotechnol. 27, 361-368.
    Bartolomei, M.S., 2009. Genomic imprinting: employing and avoiding epigenetic processes. Genes Dev. 23, 2124-2133.
    Beygo, J., Kuchler, A., Gillessen-Kaesbach, G., Albrecht, B., Eckle, J., Eggermann, T., Gellhaus, A., Kanber, D., Kordass, U., Ludecke, H.J., et al., 2017. New insights into the imprinted MEG8-DMR in 14q32 and clinical and molecular description of novel patients with Temple syndrome. Eur. J. Hum. Genet. 25, 935-945.
    Byun, H.M., Siegmund, K.D., Pan, F., Weisenberger, D.J., Kanel, G., Laird, P.W., Yang, A.S., 2009. Epigenetic profiling of somatic tissues from human autopsy specimens identifies tissue- and individual-specific DNA methylation patterns. Hum. Mol. Genet. 18, 4808-4817.
    Camacho, C., Coulouris, G., Avagyan, V., Ma, N., Papadopoulos, J., Bealer, K., Madden, T.L., 2009. BLAST+: architecture and applications. BMC Bioinformatics 10, 421.
    Carrel, L., Willard, H.F., 2005. X-inactivation profile reveals extensive variability in X-linked gene expression in females. Nature 434, 400-404.
    Danecek, P., Bonfield, J.K., Liddle, J., Marshall, J., Ohan, V., Pollard, M.O., Whitwham, A., Keane, T., McCarthy, S.A., Davies, R.M., Li, H., 2021. Twelve years of SAMtools and BCFtools. Gigascience 10.
    Feil, R., Fraga, M.F., 2012. Epigenetics and the environment: emerging patterns and implications. Nat. Rev. Genet. 13, 97-109.
    Feinberg, A.P., 2018. The key role of epigenetics in human disease prevention and mitigation. N. Engl. J. Med. 378, 1323-1334.
    Fernandez, A.F., Assenov, Y., Martin-Subero, J.I., Balint, B., Siebert, R., Taniguchi, H., Yamamoto, H., Hidalgo, M., Tan, A.C., Galm, O., 2012. A DNA methylation fingerprint of 1628 human samples. Genome Res. 22, 407-419.
    Geisen, A.B.C., Santana Acevedo, N., Oshima, J., Dittrich, M., Potabattula, R., Haaf, T., 2025. rDNA copy number variation and methylation during normal and premature aging. Aging Cell 24, e14497.
    Gertz, J., Varley, K.E., Reddy, T.E., Bowling, K.M., Pauli, F., Parker, S.L., Kucera, K.S., Willard, H.F., Myers, R.M., 2011. Analysis of DNA methylation in a three-generation family reveals widespread genetic influence on epigenetic regulation. PLoS Genet. 7, e1002228.
    Gkountela, S., Zhang, K.X., Shafiq, T.A., Liao, W.W., Hargan-Calvopina, J., Chen, P.Y., Clark, A.T., 2015. DNA demethylation dynamics in the human prenatal germline. Cell 161, 1425-1436.
    Hancks, D.C., Kazazian, H.H., Jr., 2010. SVA retrotransposons: evolution and genetic instability. Semin. Cancer Biol. 20, 234-245.
    Heard, E., Martienssen, R.A., 2014. Transgenerational epigenetic inheritance: myths and mechanisms. Cell 157, 95-109.
    Henderson, A.S., Warburton, D., Atwood, K.C., 1972. Location of ribosomal DNA in the human chromosome complement. Proc. Natl. Acad. Sci. U. S. A. 69, 3394-3398.
    Hoeijmakers, J.H., 2009. DNA damage, aging, and cancer. N. Engl. J. Med. 361, 1475-1485.
    Jaenisch, R., Bird, A., 2003. Epigenetic regulation of gene expression: how the genome integrates intrinsic and environmental signals. Nat. Genet. 33, 245-254.
    Jelinic, P., Shaw, P., 2007. Loss of imprinting and cancer. J. Pathol. 211, 261-268.
    Jima, D.D., Skaar, D.A., Planchart, A., Motsinger-Reif, A., Cevik, S.E., Park, S.S., Cowley, M., Wright, F., House, J., Liu, A., et al., 2022. Genomic map of candidate human imprint control regions: the imprintome. Epigenetics 17, 1920-1943.
    Karpen, G.H., Allshire, R.C., 1997. The case for epigenetic effects on centromere identity and function. Trends Genet. 13, 489-496.
    Kelsey, G., Feil, R., 2013. New insights into establishment and maintenance of DNA methylation imprints in mammals. Philos. Trans. R. Soc. B Biol. Sci. 368, 20110336.
    Kim, J.H., Dilthey, A.T., Nagaraja, R., Lee, H.S., Koren, S., Dudekula, D., Wood, W.H., Piao, Y., Ogurtsov, A.Y., Utani, K., et al., 2018. Variation in human chromosome 21 ribosomal RNA genes characterized by TAR cloning and long-read sequencing. Nucleic Acids Res. 46, 6712-6725.
    Klose, R.J., Bird, A.P., 2006. Genomic DNA methylation: the mark and its mediators. Trends Biochem. Sci. 31, 89-97.
    Krzywinski, M., Schein, J., Birol, I., Connors, J., Gascoyne, R., Horsman, D., Jones, S.J., Marra, M.A., 2009. Circos: an information aesthetic for comparative genomics. Genome Res. 19, 1639-1645.
    Lee, I., Razaghi, R., Gilpatrick, T., Molnar, M., Gershman, A., Sadowski, N., Sedlazeck, F.J., Hansen, K.D., Simpson, J.T., Timp, W., 2020. Simultaneous profiling of chromatin accessibility and methylation on human cell lines with nanopore sequencing. Nat. Methods 17, 1191-1199.
    Li, H., 2018. Minimap2: pairwise alignment for nucleotide sequences. Bioinformatics 34, 3094-3100.
    Liao, X., Zhu, W., Zhou, J., Li, H., Xu, X., Zhang, B., Gao, X., 2023. Repetitive DNA sequence detection and its role in the human genome. Commun. Biol. 6, 954.
    Lister, R., Pelizzola, M., Dowen, R.H., Hawkins, R.D., Hon, G., Tonti-Filippini, J., Nery, J.R., Lee, L., Ye, Z., Ngo, Q.M., et al., 2009. Human DNA methylomes at base resolution show widespread epigenomic differences. Nature 462, 315-322.
    Lokk, K., Modhukur, V., Rajashekar, B., Martens, K., Magi, R., Kolde, R., Koltsina, M., Nilsson, T.K., Vilo, J., Salumets, A., Tonisson, N., 2014. DNA methylome profiling of human tissues identifies global and tissue-specific methylation patterns. Genome Biol. 15, R54.
    Logsdon, G.A., Vollger, M.R., Eichler, E.E., 2020. Long-read human genome sequencing and its applications. Nat. Rev. Genet. 21, 597-614.
    Lopez-Otin, C., Blasco, M.A., Partridge, L., Serrano, M., Kroemer, G., 2013. The hallmarks of aging. Cell 153, 1194-1217.
    Martin, M., Patterson, M., Garg, S., Fischer, S.O., Pisanti, N., Klau, G.W., Schonhuth, A., Marschall, T., 2016. WhatsHap: fast and accurate read-based phasing. BioRxiv.
    McKinley, K.L., Cheeseman, I.M., 2016. The molecular basis for centromere identity and function. Nat. Rev. Mol. Cell Biol. 17, 16-29.
    Mohandas, T., Sparkes, R., Shapiro, L., 1981. Reactivation of an inactive human X chromosome: evidence for X inactivation by DNA methylation. Science 211, 393-396.
    Monk, D., Mackay, D.J., Eggermann, T., Maher, E.R., Riccio, A., 2019. Genomic imprinting disorders: lessons on how genome, epigenome and environment interact. Nat. Rev. Genet. 20, 235-248.
    Montano, C., Taub, M.A., Jaffe, A., Briem, E., Feinberg, J.I., Trygvadottir, R., Idrizi, A., Runarsson, A., Berndsen, B., Gur, R.C., et al., 2016. Association of DNA methylation differences with schizophrenia in an epigenome-wide association study. JAMA Psychiatry 73, 506-514.
    Moore, L.D., Le, T., Fan, G., 2013. DNA methylation and its basic function. Neuropsychopharmacology 38, 23-38.
    Morgan, H.D., Santos, F., Green, K., Dean, W., Reik, W., 2005. Epigenetic reprogramming in mammals. Hum. Mol. Genet. 14, R47-R58.
    Naumova, A.K., Plenge, R.M., Bird, L.M., Leppert, M., Morgan, K., Willard, H.F., Sapienza, C., 1996. Heritability of X chromosome-inactivation phenotype in a large family. Am. J. Hum. Genet. 58, 1111-1119.
    Nicholls, R.D., 2000. The impact of genomic imprinting for neurobehavioral and developmental disorders. J. Clin. Invest. 105, 413-418.
    Ochoa, E., Lee, S., Lan-Leung, B., Dias, R.P., Ong, K.K., Radley, J.A., de Nanclares, G.P., Martinez, R., Clark, G., Martin, E., et al., 2022. ImprintSeq, a novel tool to interrogate DNA methylation at human imprinted regions and diagnose multilocus imprinting disturbance. Genet. Med. 24, 463-474.
    Plath, K., Mlynarczyk-Evans, S., Nusinow, D.A., Panning, B., 2002. Xist RNA and the mechanism of X chromosome inactivation. Annu. Rev. Genet. 36, 233-278.
    Putiri, E.L., Robertson, K.D., 2011. Epigenetic mechanisms and genome stability. Clin. Epigenetics 2, 299-314.
    Quinlan, A.R., Hall, I.M., 2010. BEDTools: a flexible suite of utilities for comparing genomic features. Bioinformatics 26, 841-842.
    Rakyan, V., Whitelaw, E., 2003. Transgenerational epigenetic inheritance. Curr. Biol. 13, R6.
    Rassoulzadegan, M., Grandjean, V., Gounon, P., Vincent, S., Gillot, I., Cuzin, F., 2006. RNA-mediated non-Mendelian inheritance of an epigenetic change in the mouse. Nature 441, 469-474.
    Rauch, T.A., Wu, X., Zhong, X., Riggs, A.D., Pfeifer, G.P., 2009. A human B cell methylome at 100-base pair resolution. Proc. Natl. Acad. Sci. U. S. A. 106, 671-678.
    Reik, W., Dean, W., Walter, J., 2001. Epigenetic reprogramming in mammalian development. Science 293, 1089-1093.
    Riesewijk, A.M., Schepens, M.T., Welch, T.R., van den Berg-Loonen, E.M., Mariman, E.M., Ropers, H.H., Kalscheuer, V.M., 1996. Maternal-specific methylation of the human IGF2R gene is not accompanied by allele-specific transcription. Genomics 31, 158-166.
    Roadmap Epigenomics Consortium, Kundaje, A., Meuleman, W., Ernst, J., Bilenky, M., Yen, A., Heravi-Moussavi, A., Kheradpour, P., Zhang, Z., Wang, J., et al., 2015. Integrative analysis of 111 reference human epigenomes. Nature 518, 317-330.
    Rosenski, J., Peretz, A., Magenheim, J., Loyfer, N., Shemer, R., Glaser, B., Dor, Y., Kaplan, T., 2025. Atlas of imprinted and allele-specific DNA methylation in the human body. Nat. Commun. 16, 2141.
    Ross, J.P., Rand, K.N., Molloy, P.L., 2010. Hypomethylation of repeated DNA sequences in cancer. Epigenomics 2, 245-269.
    Sales, V.M., Ferguson-Smith, A.C., Patti, M.E., 2017. Epigenetic mechanisms of transmission of metabolic disease across generations. Cell Metab. 25, 559-571.
    Santos, F., Hendrich, B., Reik, W., Dean, W., 2002. Dynamic reprogramming of DNA methylation in the early mouse embryo. Dev. Biol. 241, 172-182.
    Sharp, A.J., Stathaki, E., Migliavacca, E., Brahmachary, M., Montgomery, S.B., Dupre, Y., Antonarakis, S.E., 2011. DNA methylation profiles of human active and inactive X chromosomes. Genome Res. 21, 1592-1600.
    Shumate, A., Salzberg, S.L., 2021. Liftoff: accurate mapping of gene annotations. Bioinformatics 37, 1639-1643.
    Skaar, D.A., Li, Y., Bernal, A.J., Hoyo, C., Murphy, S.K., Jirtle, R.L., 2012. The human imprintome: regulatory mechanisms, methods of ascertainment, and roles in disease susceptibility. ILAR J. 53, 341-358.
    Slieker, R.C., Bos, S.D., Goeman, J.J., Bovee, J.V., Talens, R.P., Van der Breggen, R., Suchiman, H.E.D., Lameijer, E.W., Putter, H., Van den Akker, E.B., 2013. Identification and systematic annotation of tissue-specific differentially methylated regions using the Illumina 450k array. Epigenetics Chromatin 6, 1-12.
    Smith, S.F., Lemos, B., 2025. Simultaneous quantification of rDNA methylation and copy number: constraints to natural variation in humans and cell lines. PLoS One 20, e0336141.
    Smirnov, E., Chmurciakova, N., Liska, F., Bazantova, P., Cmarko, D., 2021. Variability of human rDNA. Cells 10.
    Smrzka, O.W., Fae, I., Stoger, R., Kurzbauer, R., Fischer, G., Henn, T., Weith, A., Barlow, D.P., 1995. Conservation of a maternal-specific methylation signal at the human IGF2R locus. Hum. Mol. Genet. 4, 1945-1952.
    Tobi, E.W., Goeman, J.J., Monajemi, R., Gu, H., Putter, H., Zhang, Y., Slieker, R.C., Stok, A.P., Thijssen, P.E., Muller, F., et al., 2014. DNA methylation signatures link prenatal famine exposure to growth and metabolism. Nat. Commun. 5, 5592.
    Wang, W., et al., 2025. The China National GeneBank Sequence Archive (CNSA) 2024 update. Hortic. Res.
    Yang, C., Zhou, Y., Song, Y., Wu, D., Zeng, Y., Nie, L., Liu, P., Zhang, S., Chen, G., Xu, J., et al., 2023. The complete and fully-phased diploid genome of a male Han Chinese. Cell Res. 33, 745-761.
    Zhang, F., Chen, W., Zhu, Z., Zhang, Q., Nabais, M.F., Qi, T., Deary, I.J., Wray, N.R., Visscher, P.M., McRae, A.F., Yang, J., 2019. OSCA: a tool for omic-data-based complex trait analysis. Genome Biol. 20, 107.
    Zheng, Z., Li, S., Su, J., Leung, A.W.S., Lam, T.W., Luo, R., 2022. Symphonizing pileup and full-alignment for deep learning-based long-read variant calling. Nat. Comput. Sci. 2, 797-803.
    Ziller, M.J., Gu, H., Muller, F., Donaghey, J., Tsai, L.T., Kohlbacher, O., De Jager, P.L., Rosen, E.D., Bennett, D.A., Bernstein, B.E., et al., 2013. Charting a dynamic DNA methylation landscape of the human genome. Nature 500, 477-481.
  • 加载中

Catalog

    通讯作者: 陈斌, bchen63@163.com
    • 1. 

      沈阳化工大学材料科学与工程学院 沈阳 110142

    1. 本站搜索
    2. 百度学术搜索
    3. 万方数据库搜索
    4. CNKI搜索

    Article Metrics

    Article views (6) PDF downloads (0) Cited by ()
    Proportional views
    Related

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return