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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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Duttge, G., Engel, W., & Zoll, B. (2012) · Göttinger Schriften zum Medizinrecht · doi:10.17875/gup2012-27
“Es wird derzeit auch darüber spekuliert, ob epigenetische Faktoren einen Teil der genetischen Varianz erklären werden (Slatkin 2009, Petronis 2010).”
BackgroundQuick, "Imputation-free" meta-analysis with
Leber, M., Herold, C., Angisch, M., & Mattheisen, M. (2012)
Chesi, O. (2015)
Understanding the Genetic Etiology of Complex Phenotypes using Bayesian Neural Networks
Beam, A. L. (2014) · NCSU Libraries Repository (North Carolina State University Libraries)
Bayesian Networks in the Study of Genome-wide DNA Methylation
Singer, M., & Pachter, L. S. (2014) · Oxford University Press eBooks · doi:10.1093/acprof:oso/9780198709022.003.0014
Eissenberg, J. C. (2016) · Elsevier eBooks · doi:10.1016/b978-0-12-803239-8.00009-0
Yashin, A. I., Arbeev, K. G., Wu, D., Kulminski, A. M., Arbeeva, L. S., Kulminskaya, I., Akushevich, I. V., & Ukraintseva, S. V. (2014)
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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