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Epigenetic Inheritance and the Missing Heritability Problem
Open accessAbstract
Epigenetic phenomena, and in particular heritable epigenetic changes, or transgenerational effects, are the subject of much discussion in the current literature. This article presents a model of transgenerational epigenetic inheritance and explores the effect of epigenetic inheritance on the risk and recurrence risk of a complex disease. The model assumes that epigenetic modifications of the genome are gained and lost at specified rates and that each modification contributes multiplicatively to disease risk. The potentially high rate of loss of epigenetic modifications causes the probability of identity in state in close relatives to be smaller than is implied by their relatedness. As a consequence, the recurrence risk to close relatives is reduced. Although epigenetic modifications may contribute substantially to average risk, they will not contribute much to recurrence risk and heritability unless they persist on average for many generations. If they do persist for long times, they are equivalent to mutations and hence are likely to be in linkage disequilibrium with SNPs surveyed in genomewide association studies. Thus epigenetic modifications are a potential solution to the problem of missing causality of complex diseases but not to the problem of missing heritability. The model highlights the need for empirical estimates of the persistence times of heritable epialleles.
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“Genome-wide association studies (GWAS) are not generally powered to detect epistasis or G×E121, and they are not designed to detect epigenetic influences122”
From Rare and common variants: twenty arguments (2012) · cites this paper as [122]
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Cites
Persistent epigenetic differences associated with prenatal exposure to famine in humans
Heijmans, B. T., Tobi, E. W., Stein, A. D., Putter, H., Blauw, G. J., Susser, E. S., Slagboom, P. E., & Lumey, L. H. (2008) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0806560105 · Cited by 3,082
Bird, A. (2007) · Nature · doi:10.1038/nature05913 · Cited by 3,011
Waddington, C. H. (2014) · doi:10.4324/9781315765471 · Cited by 2,153
DNA Modification Mechanisms and Gene Activity During Development
Holliday, R., & Pugh, J. E. (1975) · Science · doi:10.1126/science.187.4173.226 · Cited by 1,973
Personal genomes: The case of the missing heritability
Maher, B. (2008) · Nature · doi:10.1038/456018a · Cited by 1,737
Linkage strategies for genetically complex traits. I. Multilocus models.
RISCH, N. J. (1990) · PubMed · Cited by 1,315
Bunz, U. H. F. (2005) · Science · doi:10.1126/science.1111098 · Cited by 1,244
Inherited epigenetic variation — revisiting soft inheritance
Richards, E. J. (2006) · Nature Reviews Genetics · doi:10.1038/nrg1834 · Cited by 1,222
Bossdorf, O., Richards, C. L., & Pigliucci, M. (2007) · Ecology Letters · doi:10.1111/j.1461-0248.2007.01130.x · Cited by 1,015
Transgenerational Epigenetic Effects
Youngson, N. A., & Whitelaw, E. (2008) · Annual Review of Genomics and Human Genetics · doi:10.1146/annurev.genom.9.081307.164445 · Cited by 594
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Items 301–346 of 346
Genetic Diagnosis of Renal Diseases: Basic Concepts and Testing
Waters, A. M., & Lemaire, M. J. (2016) · Springer eBooks · doi:10.1007/978-3-662-52972-0_4
Immune modulation by zinc induced regulatory T cells
Rosenkranz, E., & Rink, L. (2014) · RWTH Publications (RWTH Aachen)
«Vanishing heritability» – a new paradox in the context of an old problem
Марютина, Т. М. (2016) · Journal of Modern Foreign Psychology · doi:10.17759/jmfp.2016050401
Elboudwarej, E. (2016) · eScholarship (California Digital Library)
Studies on the Effect of Flanking bases on the Distribution of CGs in Methylated Genomes
Kaur, J., & Handa, V. (2014)
Statistical Inference for the Investigation of Cell-Type Heterogeneity in DNA Methylation Data
Kennedy, D. W. (1905) · Queensland University of Technology · doi:10.5204/thesis.eprints.128080
Allyn-Feuer, A. (2018) · Deep Blue (University of Michigan)
Geng, Y., Yang, R., & Zhang, J. (2020) · PubMed Central · doi:10.12122/j.issn.1673-4254.2020.10.16
Statistical algorithms in the study of mammalian DNA methylation
Singer, M. (2012) · eScholarship (California Digital Library)
Fraser, H. B. (2010) · Faculty Opinions – Post-Publication Peer Review of the Biomedical Literature · doi:10.3410/f.5068956.5647055
Eisman, J. A. (2010) · Faculty Opinions – Post-Publication Peer Review of the Biomedical Literature · doi:10.3410/f.3981956.4891057
Zheng, J., & Xiao, X. (2017) · Springer eBooks · doi:10.1007/978-3-319-31143-2_110-1
Wen, C., Li, R., Cai, J., & Tan, H. (2020) · doi:10.21203/rs.3.rs-116709/v1
“performed for some diseases, much of the heritability remains unexplained ([5, 6]).”
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(2017) · International Journal of Science and Research (IJSR) · doi:10.21275/art20175335
“It has atrans generational effect as it could affect the recurrence of such disease in the descendants of cells in the individual [16,17].”
Background(2009) · Nature Reviews Genetics · doi:10.1038/nrg2657
DNA methylation as an intra- and transgenerational mediator of phenotypic response
Downey‐Wall, A. M. (2021) · doi:10.17760/d20439247
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Huiying, Z., & Daojun, C. (2023) · Medical Research Frontiers · doi:10.57237/j.mrf.2023.02.001
Xuan, Z., Chen, J., Zhang, Z., Guo, Y., Zhang, H., & Yao, Z. (2023) · doi:10.22541/au.168265446.64025601/v1
Multi-omics data analysis supporting inheritance of acquired traits in humansPreprint
Sharma, A. (2023) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2023.05.10.540125
“…the more warranted considering that epigenetic inheritance could offer an explanation for missing causality and heritability of complex diseases (Slatkin, 2009; Furrow et al ., 2011; Danchin et al ., 2011; Trerotola et al ., 2015) and epigenetic drugs could provide a means for reversing disease…”
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Griesemer, J. R. (2025) · Springer eBooks · doi:10.1007/978-3-031-84609-0_20
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Fetch, D. R., Jumamyradova, A., Chapa, C. M., Ge, Y., Mohamadzadeh, M., & Soshnev, A. A. (2025) · NAR Molecular Medicine · doi:10.1093/narmme/ugaf026
“…in the cell is often referred to as epigenetic; however, the strict definition of the term implies transgenerational inheritance of acquired traits, which is the subject of some controversy [ 19 ], and we favor the use of “chromatin biology” over “epigenet-ics” to denote the broader field of study.”
Molavi, F. (2025) · SSRN Electronic Journal · doi:10.2139/ssrn.5389747
Deraje, P., & Osmond, M. M. (2025) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2025.08.27.672696
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(2023) · CSIRO Publishing eBooks · doi:10.1071/9781486314935.bk08025_part4
Broeck, A. V., Meese, T. S., Verschelde, P., Cox, K., Heinze, B., Deforce, D., Meester, E. D., & Van Nieuwerburgh, F. (2024) · Figshare · doi:10.6084/m9.figshare.26677268
Broeck, A. V., Meese, T. S., Verschelde, P., Cox, K., Heinze, B., Deforce, D., Meester, E. D., & Van Nieuwerburgh, F. (2024) · Figshare · doi:10.6084/m9.figshare.26677265
Broeck, A. V., Meese, T. S., Verschelde, P., Cox, K., Heinze, B., Deforce, D., Meester, E. D., & Van Nieuwerburgh, F. (2024) · Figshare · doi:10.6084/m9.figshare.26677259
Broeck, A. V., Meese, T. S., Verschelde, P., Cox, K., Heinze, B., Deforce, D., Meester, E. D., & Van Nieuwerburgh, F. (2024) · Figshare · doi:10.6084/m9.figshare.26677256
Broeck, A. V., Meese, T. S., Verschelde, P., Cox, K., Heinze, B., Deforce, D., Meester, E. D., & Van Nieuwerburgh, F. (2024) · Figshare · doi:10.6084/m9.figshare.25150606
Broeck, A. V., Meese, T. S., Verschelde, P., Cox, K., Heinze, B., Deforce, D., Meester, E. D., & Van Nieuwerburgh, F. (2024) · Figshare · doi:10.6084/m9.figshare.25150718
Broeck, A. V., Meese, T. S., Verschelde, P., Cox, K., Heinze, B., Deforce, D., Meester, E. D., & Van Nieuwerburgh, F. (2024) · Figshare · doi:10.6084/m9.figshare.26677271
Broeck, A. V., Meese, T. S., Verschelde, P., Cox, K., Heinze, B., Deforce, D., Meester, E. D., & Van Nieuwerburgh, F. (2024) · Figshare · doi:10.6084/m9.figshare.26677262
Broeck, A. V., Meese, T. S., Verschelde, P., Cox, K., Heinze, B., Deforce, D., Meester, E. D., & Van Nieuwerburgh, F. (2024) · Figshare · doi:10.6084/m9.figshare.26677274
The clonal plant microbiota : assembly rules, heritability and influence on host phenotype
Vannier, N. (2017) · theses.fr (ABES) · doi:10.70675/5a740361zaf0bz42ebzabe5z6bfe20877cdc
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Andreas, O. D. (2019) · theses.fr (ABES) · doi:10.70675/d2267aeaz6c6bz4002z996cz187e5be7f51d
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Rama, T. (2026) · Evolutionary Biology · doi:10.1007/s11692-026-09672-3
Wang, L., Li, B., Wang, Y., Wang, Y., Wang, J., Yang, M., Li, H., & Wang, H. (2026) · Frontiers in Plant Science · doi:10.3389/fpls.2026.1894569
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Caravagna, G., Graham, T. A., & Sottoriva, A. (2026) · Nature reviews. Cancer · doi:10.1038/s41568-026-00973-5
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Zhang, H., Tian, S., Liu, X., Lei, M., Liu, M., Yang, F., Li, X., Teng, Z., & Liu, F. (2026) · Research Square · doi:10.21203/rs.3.rs-10912262/v1
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Mohanty, J. K., Yadav, A., Thakro, V., Jha, U. C., Tripathi, S., Agarwal, P., & Parida, S. K. (2026) · Research Square · doi:10.21203/rs.3.rs-11312720/v1
BindingDB Entry 50006069: Polyamine-based small molecule epigenetic modulators.
BindingDB (2020) · UC San Diego · doi:10.7270/q2sx6h67
Kim, S., & Jazwinski, S. M. (2015) · Molecular and integrative toxicology · doi:10.1007/978-1-4471-6678-8_8
Metadata
- Authors
- Slatkin, M.
- Affiliations
- University of California, Berkeley (US)
- Corresponding author
- Slatkin, Montgomery
- ORCID
- Slatkin, Montgomery
- Venue
- Genetics
- Publisher
- Oxford University Press (OUP)
- Published
- 2009-07-01
- Volume
- 182
- Issue
- 3
- Pages
- 845-850
- ISSN
- 0016-6731 (ISSN-L)
- 1943-2631
- PMC
- PMC2710163
- OpenAlex
- W2150732692
- Cited by
- 337
- References
- 21
- Citations by year
- 2026: 7 · 2025: 7 · 2024: 8 · 2023: 11 · 2022: 7 · 2021: 12 · 2020: 20 · 2019: 11 · 2018: 14 · 2017: 21 · 2016: 19 · 2015: 40 · 2014: 34 · 2013: 26 · 2012: 40
- FWCI
- 13.14
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Licence
- academic.oup.com/journals/pages/open_access/funder_policies/chorus/standard_publication_model (vor)
- Locations
- Genetics (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- Funders
- National Institutes of Health
- National Institute of General Medical Sciences (R01GM040282, R01‑GM40282)
- 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 › Genetics › Genetic and phenotypic traits in livestock
- Keywords
- epigenetic inheritance, transgenerational epigenetic inheritance, missing heritability, complex diseases, recurrence risk, epialleles, identity by state, linkage disequilibrium, genome-wide association study, disease risk
- MeSH terms
- Algorithms, Animals, Humans, Models, Genetic, Mutation, Time Factors, Linkage Disequilibrium, Genetic Predisposition to Disease, Polymorphism, Single Nucleotide, Epigenesis, Genetic, Genome-Wide Association Study
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