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Points-to-consider on the return of results in epigenetic research

Genome Medicine volume 11, Article number: 31 (2019) Cite this article

Abstract

As epigenetic studies become more common and lead to new insights into health and disease, the return of individual epigenetic results to research participants, in particular in large-scale epigenomic studies, will be of growing importance. Members of the International Human Epigenome Consortium (IHEC) Bioethics Workgroup considered the potential ethical, legal, and social issues (ELSI) involved in returning epigenetic research results and incidental findings in order to produce a set of ‘Points-to-consider’ (P-t-C) for the epigenetics research community. These P-t-C draw on existing guidance on the return of genetic research results, while also integrating the IHEC Bioethics Workgroup’s ELSI research on and discussion of the issues associated with epigenetic data as well as the experience of a return of results pilot study by the Personal Genome Project UK (PGP-UK). Major challenges include how to determine the clinical validity and actionability of epigenetic results, and considerations related to environmental exposures and epigenetic marks, including circumstances warranting the sharing of results with family members and third parties. Interdisciplinary collaboration and good public communication regarding epigenetic risk will be important to advance the return of results framework for epigenetic science.

Background

Epigenetics is a fast-growing field of research that is shedding light on the ways in which interactions with the environment lead to changes in gene expression [1]. Over the past 20 years, some of the most concerning diseases of our time, such as many types of cancer, metabolic disorders, and neurodegenerative diseases, have been associated with the disruption of epigenetic programs [2,3,4,5,6]. Processes such as aging and personal exposure to stress and trauma have also been associated with altered epigenetic programs [7].

As human epigenome mapping and epigenetic research continue to progress, with the potential to influence our understanding of environmental exposures, community health, and the health of future generations [8,9,10], determining which individual epigenetic research results might be communicated to research participants and how this communication should take place are of growing importance. The return of research results and incidental findings is a topic that has been explored at great length, mostly in the fields of genetics and imaging [11,12,13,14]. Although epigenetic research is still in its infancy, it is expected to elucidate many aspects of human health. Scientific and bioethics considerations already point to a number of areas where the potential risks and challenges of the return of research results might differ in type or scale from those relating to genetic data [15,16,17,18,19], and researchers have called for further guidance on the subject [17, 19]. These differences are likely to impact notions of the clinical validity and actionability of epigenetic results, privacy considerations, and assessment of the circumstances that warrant the sharing of results, both with the research participants themselves and with other individuals who may be concerned (for example, those who have had similar environmental exposures).

The International Human Epigenome Consortium (IHEC) is an international consortium with the objective of ‘providing free access to high-resolution reference human epigenome maps for normal and disease cell types to the research community’ [20, 21]. The IHEC Bioethics Workgroup, an interdisciplinary group of researchers in science, ethics, policy, and the law, therefore formed a Subgroup to anticipate and consider the ethical, legal, and social issues (ELSI) raised by the return of epigenetic research results. This Subgroup has produced a set of points-to-consider (P-t-C) for the community, which has been approved by the Bioethics Workgroup and IHEC Executive Committee.

Points-to-consider

Building on the consensus that has emerged from the genetics literature and international ethics guidance [22, 23], we recognized that: “The view is becoming more common [ …] that clinically valid and actionable individual research results should be offered to participants” (Box 1, P-t-C point 1). This is not meant to imply that further results should not be returned under certain circumstances, but clinically valid and actionable individual results, whether they are incidental findings or directly related to the research study, represent a minimum threshold for the type of results to be considered. Our P-t-C also stress, however, that “researchers are not expected to actively search for this information (all clinically valid and actionable individual results) unless it forms part of their standard research practice” (Box 1, P-t-C point 1), as doing so would create an undue burden on researchers. Furthermore, the definitions of the terms ‘clinically valid’ and ‘actionable’ are not yet as well-established in the epigenetics field as they are in genetics. Therefore, we identified a number of characteristics and considerations concerning epigenetic data that could help researchers to determine which results should be returned according to the two criteria of clinical validity and actionability.

Other, more procedural recommendations were derived and adapted from guidelines and literature on the return of genetic results. These included the well-established requirement that results be returned only when the participant has accepted to receive the results after having been given the option of agreeing or declining to this through an informed consent process [22, 24].

We also warn of the possibility that epigenetic information may not be protected under genetic non-discrimination laws because these laws use language that is specific to genetics and may not cover all epigenetic data. For example, such laws refer to genetic characteristics that are acquired before birth (in Germany [25]) or to ‘DNA’, ‘RNA’, or ‘genotypes’ (in the United States [26] and Canada [27]) [28,29,30,31]. Given the uncertainty about whether genetic non-discrimination laws apply to epigenetic data, some individuals may be reluctant to enroll in specific epigenetic studies or to give broad consent to the use of their biospecimens in research that could result in analysis of their epigenetic information. Thus, genetic non-discrimination laws may need to be applied in a way that includes epigenetic data, or new laws focusing specifically on epigenetics may need to be enacted.

Finally, ethical issues related to the disclosure of incidental findings or the return of results will depend on the age and cognitive capacity of the research participant, including the potential for prenatal epigenetic testing. For example, it may be preferable to offer certain results, such as the risk of adult-onset conditions, to children once they are able to consent to this themselves [32]. Furthermore, it may not be appropriate for parents or legally authorized representatives to refuse to receive actionable results on behalf of children or incapable adults [33]. Although this point is not specific to epigenetics, we adopt a point on the need to develop specific policies for the contexts of research in pediatrics and research involving adults who have been deemed incapable of giving informed consent (Box 1, P-t-C point 8). This need is well-established in guidelines for the return of genetic results [14, 34, 35].

Having grounded our P-t-C in current guidance in the field of genetics, our overarching aim was to bring attention to the particular issues associated with epigenetic research data: the challenges that lie ahead for determining clinical validity and actionability in epigenetics; considerations related to environmental exposures and epigenetic marks, including their impact on the sharing of results with others; and, finally, the importance of good communication regarding epigenetic risk (Box 1, P-t-C points 2–5).

Clinical validity of epigenetic research results

Definitive molecular diagnosis of imprinting disorders, such as Beckwith–Wiedemann syndrome (which is mainly caused by genetic or epigenetic defects in the chromosome 11p15.5 region), can sometimes be reached by analysis of epigenetic marks alone [36]. Even for this very rare group of diseases, however, an underlying DNA sequence change (mutation) is commonly required to return a clinical diagnosis. Given the current uncertainty regarding the clinical significance and application of the vast majority of epigenetic data, returning clinically valid, actionable results from epigenetic research studies would require a careful process of scientific and clinical review, both across the field and of individual study results. As more systematic evidence of the epigenetic causes of disease is only beginning to emerge from large-scale epigenome projects [21, 37,38,39,40,41], the establishment of exhaustive criteria for assessing the clinical validity and actionability of epigenetic data would be premature at this time. Therefore, we focused on framing in general terms how epigenetic evidence might eventually compare to genetic data, drawing on the criteria and scoring systems that have evolved over many years to assess the significance and clinical interpretation of genetic variants [42,43,44,45,46]. This entailed breaking down the assessment of epigenetic data that could potentially be communicated to participants into the following constituent areas:

  1. 1.

    The accuracy of the epigenetic data with respect to both the technology used and the source material (cell composition, sample purity).

  2. 2.

    The stability of the epigenetic data. Some epigenetic marks are more dynamic than others, so multiple measurements over time might be required to determine their significance [47, 48].

  3. 3.

    The existing level of evidence that a variant or mark may cause disease or is associated with disease, the magnitude of such disease risk, and the nature of the disease.

  4. 4.

    And finally, the possibility of treating or preventing disease or epigenetic risk variants (for example, by systemic or targeted epigenetic therapy, or through epigenetic screening).

In addition, we proposed specific terminology to conceptualize the typical levels of evidence that are found in discussions of epigenetic risk and disease. Disease-associated or disease-causing variants would thus fall into one of the following groups:

  1. 1.

    Associated variants: variants supported by statistics only (for example, in an epigenome-wide association study (EWAS)).

  2. 2.

    Inferred variants: variants supported by statistics and inferred functional evidence (for example, involvement in a plausible mechanism that has been inferred from additional data).

  3. 3.

    Causal variants: variants supported by statistics and for which disease-causality has been demonstrated (for example, in conjunction with genetic variants or where genetic variants have been ruled out). Causal variants are candidates for clinical validation as a first step towards actionability.

We also point out that epigenetic variants or marks may be diagnostic or useful as ‘biomarkers’ of disease, even if they are not causal (Box 1, P-t-C point 2e). They may also be found to confer protection against disease. We hope that these categories will serve as a starting point for defining levels of evidence in different areas of epigenetics, as has been done in evaluating the clinical validity of gene–disease associations, for example, by the Clinical Genome Resource (ClinGen) [46, 49]. ClinGen is an initiative to provide an authoritative central resource that defines the clinical relevance of genes and genetic variants for use in precision medicine and research. Approaches that are commonly used to demonstrate the causality of epigenetic variants are genetic manipulation of the DNA sequence underlying an epigenetic variant or of the enzymes that are responsible for the establishment or removal of the epigenetic variant, or targeted editing of the epigenetic variant itself [50].

Although we acknowledge that epigenetic variants and their clinical interpretation may differ considerably from genetic variants, we aimed to achieve two goals with this preliminary framework. First, to place the epigenetic research result that a researcher may be considering communicating in the context of a thorough assessment of its analytical, scientific and clinical validity. Second, to frame the result in terms of its likely impact on participants, both in its relevance to participant health and its broader significance. This is particularly complex because of evidence that epigenetic marks may be reversible [48] and may sometimes provide information about an individual’s environmental exposures [51], including information that might be related to their and to others’ behavior [52].

Actionability of epigenetic research results

We considered that ‘actionability’—the potential for action based on the epigenetic data that are returned—should extend beyond strict definitions of clinical utility to include health-related data more broadly. For example, epigenetic data might indicate an environmental or community exposure, resulting in epigenetic risk variants that could be avoided, such as acceleration of the accumulation of altered DNA methylation biomarkers of aging (the epigenetic clock) [53]. Actionability could therefore include clinical actions to prevent or treat disease or epigenetic risk variants, as well as non-clinical actions that could be enabled by knowledge of the epigenetic data, such as health-related life choices, including reproductive decisions (for example, changing diet or other behaviors that might be involved in health-related epigenetic variation).

The scope of the data that may potentially be of interest to participants is wide, and we certainly did not intend to suggest returning all results in all circumstances. In particular, we include a point about considering the magnitude and nature of the disease risk in weighing the significance of a result (Box 1, P-t-C point 2d). Current policies for the return of genetic information suggest that the ‘severity’ of the disease to which an individual would be predisposed is likely to be important in deciding how critical the return of a result may be [54]. Epigenetic reversibility may also strengthen the ethical argument in favor of disclosing an epigenetic research result, as it may allow for greater preventive or treatment opportunities. On the other hand, it may also lead to data that are not a definitive indication of an individual’s epigenetic disease risk—hence our specific point about the stability of epigenetic data (Box 1, P-t-C point 2b).

Examples of behaviors and other so-called ‘lifestyle’ exposures with known epigenetic effects include nutrition, smoking, and stress [55,56,57,58]. While their inference is not yet unequivocal, at least quantitatively, especially for the more intangible exposures such as exposure to stress, it is possible that such individual research results could be of interest to research participants. Research in this area, and into other environmental exposures, is growing [59, 60]. For example, the National Institute of Environmental Health Sciences (NIEHS) Toxicant Exposures and Responses by Genomic and Epigenomic Regulators of Transcription (TaRGET) II Consortium recently reported its plans to investigate the conservation of environmentally induced epigenetic alterations across tissues following environmental exposures that have been associated with adverse health outcomes [61]. As exposure science has moved from measuring chemicals in the environment to biomonitoring of such exposures in the population, novel models of community-driven return of results and broader communication plans are emerging [62].

Individual epigenetic information may be of interest to participants who simply wish to know about their own health status or to influence community health decisions. However, such information also has potential implications that extend to the area of public policy, and more specifically, to areas of environmental tort (where injury occurs via toxic exposure) and reproductive tort (where injury occurs either pre-conception or in utero) [63, 64]. For example, evidence is emerging that toxicity from exposure to certain chemical hazards is driven at least in part by epigenetic mechanisms, and researchers have expressed concerns that assisted reproductive technologies may cause epigenetic damage to embryos [28, 64, 65]. Both environmental and reproductive torts are founded on responsibility for harmful exposure and involve proof of three elements: breach of duty, causation, and injury [64, 66, 67]. Of these, the causal element presents a particular conundrum in environmental and reproductive tort because the scientific evidence is not always sufficiently clear to establish a direct causal link between the action entailed in the breach of duty and the harm suffered by the plaintiff [66, 68]. Although evidence of general causation is often provided by epidemiological data, evidence of specific causation requires a more fine-grained understanding (most of the time not available) of the biological mechanisms underlying such statistical associations between exposure and harm. By providing insights at the molecular level into how significant health risks may be acquired through different manners of exposure, epigenetic research could fill the existing gap in establishing actionable evidence of specific causality [67, 69].

Finally, a few studies of transgenerational epigenetic effects, mainly in mouse models, indicate that environmental and behavioral epigenetic signatures could be inherited [8,9,10, 52, 70,71,72,73]. This possibility, if confirmed, might add to the range of research data that could potentially be of interest to individuals, but it may also raise particular privacy concerns because the data would not only expose the environmental and behavioral information of the research participant, but also possibly that of their parents and grandparents.

Disclosure of participants’ epigenetic data to relatives and third parties

Disclosing personal genetic information to biological relatives can sometimes benefit family members who share similar genetic-risk profiles. Even though some patients may be reluctant to disclose—for instance, to prevent unnecessary anxiety for family members [74]—some ethicists have argued that there may sometimes be a moral ‘genetic responsibility’ to share medically relevant information with interested third parties [75, 76]. Nevertheless, this moral responsibility can conflict with the obligation of physicians and researchers to protect patient confidentiality, and physicians may also be legally required to inform a patient about the potential ‘consequences that his or her silence may have on the health of family members’ [77]. In the United States, federal health privacy regulations prohibit the nonconsensual disclosure of health information except in circumstances inapplicable here, such as disclosures to public health or law enforcement officials [78]. The superior approach is for health care providers to counsel, encourage, and support patients to disclose relevant genetic information to their at-risk relatives [79].

Ethical and legal debates about the disclosure of genetic information to third parties have consistently focused on the relevance of such information to the patient’s immediate family, that is, to ‘biological relatives’ who are likely to share innate risks acquired through Mendelian inheritance [80]. However, epigenetic research may soon force us to expand the notion of biological relative—and thus the range of people who could benefit from the disclosure of epigenetic information—to include ‘individuals with shared exposures’, that is, individuals who are likely to share similar epigenetic risk factors [81]. This approach will also benefit researchers who investigate DNA sequence mutations and other changes that are induced by environmental exposures [82].

Consider the following hypothetical scenario: numerous studies have shown that a pesticide causes specific epigenetic changes and phenotypes at the population level. An investigator finds out that one of the research participants in their study, who has worked as a farmer all their life, has these epigenetic marks of exposure to the pesticide. Therefore, the exposure occurred in all likelihood at the workplace. Such a research result could carry a number of direct clinical implications for different ‘categories’ of individuals other than the participant, such as: 1) the farmer’s family (including non-genetically related family members such as adopted children) living near the contaminated site, as well as neighbors, as this information could influence decisions surrounding re-location away from the harmful exposure; 2) employees on the farm who may also be at risk of epigenetic effects resulting from frequent exposure to the pesticide; and 3) these individuals’ future children, if there were a risk of possible transgenerational effects.

Example of returning epigenetic results: Personal Genome Project UK

The Personal Genome Project UK (PGP-UK) [83] conducted a small pilot trial in 2016 to gain experience and a first insight into any issues associated with reporting incidental epigenetic findings to study participants. Using open consent and open access data sharing protocols [84], PGP-UK recruited ten volunteers who agreed to receive incidental epigenetic findings from the analysis of their DNA methylomes in addition to their standard genome reports. Three categories of findings were reported (sex, age, and smoking), for which the analysis was judged to be sufficiently mature based on independent validation and replication. The methylome reports [85] were based on the analysis of around 450,000 genome-wide CpG sites in two specimens (blood and saliva) from each participant [86].

In this small initial trial, there was high participant interest in, and acceptance of, receiving incidental epigenetic findings, as assessed through discussion groups and follow-up with volunteers, particularly the results associated with environmental exposures [86]. This supports our view that results other than clinically actionable results are potentially of great interest to research participants. It also provides limited evidence that participants could also be comfortable with receiving results of uncertain clinical significance, although the level of support provided for the return of results communication process in this trial may not be as feasible for studies involving much larger groups of research participants. Although we expect good communication practices to improve participant understanding of individual results and encourage such efforts, we would not assume that personal preferences regarding the receipt of results would necessarily differ in the absence of such support. Indeed, social science studies have shown that the vast majority of participants in genetics research and biobanking initiatives wish to receive individual results [87,88,89,90,91,92,93,94,95]. Furthermore, a large multi-study survey found that providing a choice of different consent and data sharing models did not have a significant impact on willingness to participate in a biobank [96].

Conclusions and future directions

With these P-t-C, we aimed to draw attention to the ELSI associated with the return of epigenetic research results and we have outlined both the norms that have emerged for genetic research results that are relevant and new issues to consider for epigenetic research.

Much remains to be determined before we can arrive at detailed guidance for the return of specific epigenetic results, such as the recommendations that have been produced for clinical genome sequencing in the USA [97, 98]. This will involve considerable research efforts to better understand fundamental epigenetic and epigenomic processes and their relationship to disease, as well as studies of the clinical validity and actionability of epigenetic data. We believe, however, that discussions about the strength of epigenetic findings and their implications for health and disease must begin now, while our understanding of the role of epigenetics is growing. Although we found it useful to build on ELSI guidance from the field of genetics, epigenetic data raise important new challenges that may eventually lead to a very different framework for the return of results.

Furthermore, as epigenetics is attracting much scientific interest and investment, its health implications and potential to revolutionize the ‘nature versus nurture’ debate have also caught the imagination of the public [99,100,101]. We focused here on the return of individual research results to participants, but the issues of the broader communication and public understanding of epigenetics should not be left out of the discussion. These issues will, in all likelihood, frame both participants’ eventual understanding of any individual research results and the broader societal debate on the implications of epigenetic science. Enhanced approaches for communication with research participants, such as the development of online ‘research portals’ to access and discuss research findings, could provide the public with greater opportunities for interaction with research studies and their results. With these P-t-C, we hope to stimulate innovative, interdisciplinary public conversations about epigenetics and the implications of this science for individuals, families, and societies.

Abbreviations

ELSI:

Ethical, legal, and social issues

IHEC:

International Human Epigenome Consortium

PGP-UK:

Personal Genome Project UK

P-t-C:

Points-to-consider

References

  1. Beyond the genome. Nature. 2015;518:273.

  2. Queiros AC, Beekman R, Vilarrasa-Blasi R, Duran-Ferrer M, Clot G, Merkel A, et al. Decoding the DNA methylome of mantle cell lymphoma in the light of the entire B cell lineage. Cancer Cell. 2016;30:806–21.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  3. Hafner SJ, Lund AH. Great expectations—epigenetics and the meandering path from bench to bedside. Biom J. 2016;39:166–76.

    Google Scholar 

  4. Stahl M, Kohrman N, Gore SD, Kim TK, Zeidan AM, Prebet T. Epigenetics in cancer: a hematological perspective. PLoS Genet. 2016;12:e1006193.

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  5. Mack SC, Witt H, Piro RM, Gu L, Zuyderduyn S, Stutz AM, et al. Epigenomic alterations define lethal CIMP-positive ependymomas of infancy. Nature. 2014;506:445–50.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  6. Allis CD, Jenuwein T. The molecular hallmarks of epigenetic control. Nat Rev Genet. 2016;17:487–500.

    Article  CAS  PubMed  Google Scholar 

  7. Armstrong NJ, Mather KA, Thalamuthu A, Wright MJ, Trollor JN, Ames D, et al. Aging, exceptional longevity and comparisons of the Hannum and Horvath epigenetic clocks. Epigenomics. 2017;9:689–700.

    Article  CAS  PubMed  Google Scholar 

  8. Rothstein MA, Harrell HL, Marchant GE. Transgenerational epigenetics and environmental justice. Environ Epigenet. 2017;3:dvx011.

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  9. Skvortsova K, Iovino N, Bogdanovič O. Functions and mechanisms of epigenetic inheritance in animals. Nat Rev Mol Cell Biol. 2018;19:774–90.

    Article  CAS  PubMed  Google Scholar 

  10. Boskovic A, Rando OJ. Transgenerational epigenetic inheritance. Annu Rev Genet. 2018;52:21–41.

    Article  CAS  PubMed  Google Scholar 

  11. Cho MK. Understanding incidental findings in the context of genetics and genomics. J Law Med Ethics. 2008;36(2):280–5, 212.

    Article  PubMed  PubMed Central  Google Scholar 

  12. Wolf SM. The past, present, and future of the debate over return of research results and incidental findings. Genet Med. 2012;14:355–7.

    Article  PubMed  PubMed Central  Google Scholar 

  13. Jarvik GP, Amendola LM, Berg JS, Brothers K, Clayton EW, Chung W, et al. Return of genomic results to research participants: the floor, the ceiling, and the choices in between. Am J Hum Genet. 2014;94:818–26.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  14. Knoppers BM, Nguyen MT, Sénécal K, Tasse AM, Zawati MH. Next-generation sequencing and the return of results. Cold Spring Harb Perspect Med. 2016. https://doi.org/10.1101/cshperspect.a026724.

    Article  PubMed  PubMed Central  Google Scholar 

  15. Joly Y, Dyke SOM, Cheung WA, Rothstein MA, Pastinen T. Risk of re-identification of epigenetic methylation data: a more nuanced response is needed. Clin Epigenetics. 2015;7:45.

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  16. Wright ML, Ralph JL, Ohm JE, Anderson CM. DNA methylation in complex disease: applications in nursing research, practice, and policy. Nurs Outlook. 2013;61:235–41.

    Article  PubMed  Google Scholar 

  17. Sandoval J, Peiro-Chova L, Pallardo FV, Garcia-Gimenez JL. Epigenetic biomarkers in laboratory diagnostics: emerging approaches and opportunities. Expert Rev Mol Diagn. 2013;13:457–71.

    Article  CAS  PubMed  Google Scholar 

  18. Samuel N, Villani A, Fernandez CV, Malkin D. Management of familial cancer: sequencing, surveillance and society. Nat Rev Clin Oncol. 2014;11:723–31.

    Article  PubMed  Google Scholar 

  19. Carter AC, Chang HY, Church G, Dombkowski A, Ecker JR, Gil E, et al. Challenges and recommendations for epigenomics in precision health. Nat Biotechnol. 2017;35:1128–32.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  20. International Human Epigenome Consortium. http://ihec-epigenomes.org/about. Accessed 6 May 2019.

  21. Stunnenberg HG, International human epigenome Consortium, Hirst M. The international human epigenome Consortium: a blueprint for scientific collaboration and discovery. Cell. 2016;167:1897.

    Article  CAS  PubMed  Google Scholar 

  22. Council of Europe. Convention for the protection of human rights and dignity of the human being with regard to the application of biology and medicine: convention on human rights and biomedicine. 1997. https://rm.coe.int/168007cf98. Accessed 6 May 2019.

    Google Scholar 

  23. Council for International Organizations of medical sciences (CIOMS) and World Health Organization (WHO). International ethical guidelines for epidemiological studies. 2009. https://cioms.ch/wp-content/uploads/2017/01/International_Ethical_Guidelines_LR.pdf. Accessed 6 May 2019.

    Google Scholar 

  24. World Medical Association. WMA declaration of Helsinki—ethical principles for medical research involving human subjects. 2018. www.wma.net/policies-post/wma-declaration-of-helsinki-ethical-principles-for-medical-research-involving-human-subjects/. Accessed 6 May 2019.

    Google Scholar 

  25. Bundesministerium der Justiz und für Verbraucherschultz. Gesetz über genetische Untersuchungen bei Menschen (Gendiagnostikgesetz—GenDG). 2009. www.gesetze-im-internet.de/gendg/BJNR252900009.html. Accessed 6 May 2019.

  26. US Government Publishing Office. Public Law 110–233. Genetic Information Nondiscrimination Act of 2008. www.govinfo.gov/content/pkg/PLAW-110publ233/pdf/PLAW-110publ233.pdf. Accessed 6 May 2019.

  27. Canada Justice Laws Website. Genetic non-discrimination act. 2017. https://laws-lois.justice.gc.ca/eng/acts/G-2.5/page-1.html#h-1. Accessed 6 May 2019.

    Google Scholar 

  28. Rothstein MA, Cai Y, Marchant GE. The ghost in our genes: legal and ethical implications of epigenetics. Health Matrix Clevel. 2009;19:1–62.

    PubMed  PubMed Central  Google Scholar 

  29. Rothstein MA. Epigenetic exceptionalism. J Law Med Ethics. 2013;41:733–6.

    Article  PubMed  Google Scholar 

  30. Dyke SO, Cheung WA, Joly Y, Ammerpohl O, Lutsik P, Rothstein MA, et al. Epigenome data release: a participant-centered approach to privacy protection. Genome Biol. 2015;16:142.

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  31. Dupras C, Song L, Saulnier KM, Joly Y. Epigenetic discrimination: emerging applications of epigenetics pointing to the limitations of policies against genetic discrimination. Front Genet. 2018;9:202.

    Article  PubMed  PubMed Central  Google Scholar 

  32. Knoppers BM, Avard D, Sénécal K, Zawati MH. P3G International Paediatrics Platform Members. Return of whole-genome sequencing results in paediatric research: a statement of the P3G international paediatrics platform. Eur J Hum Genet. 2014;22:3–5.

    Article  CAS  PubMed  Google Scholar 

  33. van El CG, Cornel MC, Borry P, Hastings RJ, Fellmann F, Hodgson SV, et al. Whole-genome sequencing in health care. Recommendations of the European Society of Human Genetics. Eur J Hum Genet. 2013;21:580–4 and Suppl 1:S1–5.

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  34. Holm IA, Savage SK, Green RC, Juengst E, McGuire A, Kornetsky S, et al. Guidelines for return of research results from pediatric genomic studies: deliberations of the Boston Children's Hospital Gene Partnership informed cohort oversight board. Genet Med. 2014;16:547–52.

    Article  PubMed  Google Scholar 

  35. Zawati MH, Parry D, Knoppers BM. The best interests of the child and the return of results in genetic research: international comparative perspectives. BMC Med Ethics. 2014;15:72.

    Article  PubMed  PubMed Central  Google Scholar 

  36. Brioude F, Kalish JM, Mussa A, Foster AC, Bliek J, Ferrero GB, et al. Expert consensus document: clinical and molecular diagnosis, screening and management of Beckwith–Wiedemann syndrome: an international consensus statement. Nat Rev Endocrinol. 2018;14:229–49.

    Article  PubMed  PubMed Central  Google Scholar 

  37. Astle WJ, Elding H, Jiang T, Allen D, Ruklisa D, Mann AL, et al. The allelic landscape of human blood cell trait variation and links to common complex disease. Cell. 2016;167:1415–29.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  38. Chen L, Ge B, Casale FP, Vasquez L, Kwan T, Garrido-Martin D, et al. Genetic drivers of epigenetic and transcriptional variation in human immune cells. Cell. 2016;167:1398–414.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  39. Novakovic B, Habibi E, Wang SY, Arts RJ, Davar R, Megchelenbrink W, et al. Beta-glucan reverses the epigenetic state of LPS-induced immunological tolerance. Cell. 2016;167(5):1354–68 e14.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  40. Javierre BM, Burren OS, Wilder SP, Kreuzhuber R, Hill SM, Sewitz S, et al. Lineage-specific genome architecture links enhancers and non-coding disease variants to target gene promoters. Cell. 2016;167:1369–84.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  41. Sun W, Poschmann J, Cruz-Herrera Del Rosario R, Parikshak NN, Hajan HS, Kumar V, et al. Histone acetylome-wide association study of autism spectrum disorder. Cell. 2016;167:1385–97.

    Article  CAS  PubMed  Google Scholar 

  42. Richards CS, Bale S, Bellissimo DB, Das S, Grody WW, Hegde MR, et al. ACMG recommendations for standards for interpretation and reporting of sequence variations: revisions 2007. Genet Med. 2008;10:294–300.

    Article  CAS  PubMed  Google Scholar 

  43. Plon SE, Eccles DM, Easton D, Foulkes WD, Genuardi M, Greenblatt MS, et al. Sequence variant classification and reporting: recommendations for improving the interpretation of cancer susceptibility genetic test results. Hum Mutat. 2008;29:1282–91.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  44. Spurdle AB, Healey S, Devereau A, Hogervorst FB, Monteiro AN, Nathanson KL, et al. ENIGMA—evidence-based network for the interpretation of germline mutant alleles: an international initiative to evaluate risk and clinical significance associated with sequence variation in BRCA1 and BRCA2 genes. Hum Mutat. 2012;33:2–7.

    Article  CAS  PubMed  Google Scholar 

  45. Claustres M, Kozich V, Dequeker E, Fowler B, Hehir-Kwa JY, Miller K, et al. Recommendations for reporting results of diagnostic genetic testing (biochemical, cytogenetic and molecular genetic). Eur J Hum Genet. 2014;22:160–70.

    Article  PubMed  Google Scholar 

  46. Strande NT, Riggs ER, Buchanan AH, Ceyhan-Birsoy O, DiStefano M, Dwight SS, et al. Evaluating the clinical validity of gene-disease associations: an evidence-based framework developed by the clinical genome resource. Am J Human Genet. 2017;100:895–906.

    Article  CAS  Google Scholar 

  47. Luo C, Hajkova P, Ecker JR. Dynamic DNA methylation: in the right place at the right time. Science. 2018;361:1336–40.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  48. Ziller MJ, Gu H, Muller F, Donaghey J, Tsai LT, Kohlbacher O, et al. Charting a dynamic DNA methylation landscape of the human genome. Nature. 2013;500:477–81.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  49. Rehm HL, Berg JS, Brooks LD, Bustamante CD, Evans JP, Landrum MJ, et al. ClinGen—the clinical genome resource. New Engl J Med. 2015;372:2235–42.

    Article  CAS  PubMed  Google Scholar 

  50. Stricker SH, Koferle A, Beck S. From profiles to function in epigenomics. Nat Rev Genet. 2017;18:51–66.

    Article  CAS  PubMed  Google Scholar 

  51. Feil R, Fraga MF. Epigenetics and the environment: emerging patterns and implications. Nat Rev Genet. 2012;13:97–109.

    Article  CAS  PubMed  Google Scholar 

  52. Bohacek J, Mansuy IM. Molecular insights into transgenerational non-genetic inheritance of acquired behaviours. Nat Rev Genet. 2015;16:641–52.

    Article  CAS  PubMed  Google Scholar 

  53. Horvath S, Raj K. DNA methylation-based biomarkers and the epigenetic clock theory of ageing. Nat Rev Genet. 2018;19:371–84.

    Article  CAS  PubMed  Google Scholar 

  54. Wolf SM, Lawrenz FP, Nelson CA, Kahn JP, Cho MK, Clayton EW, et al. Managing incidental findings in human subjects research: analysis and recommendations. J Law Med Ethics. 2008;36:219–48 211.

    Article  PubMed  PubMed Central  Google Scholar 

  55. Burdge GC, Lillycrop KA. Nutrition, epigenetics, and developmental plasticity: implications for understanding human disease. Annu Rev Nutr. 2010;30:315–39.

    Article  CAS  PubMed  Google Scholar 

  56. Zeilinger S, Kuhnel B, Klopp N, Baurecht H, Kleinschmidt A, Gieger C, et al. Tobacco smoking leads to extensive genome-wide changes in DNA methylation. PLoS One. 2013;8:e63812.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  57. Zhang Y, Yang RX, Burwinkel B, Breitling LP, Brenner H. F2RL3 methylation as a biomarker of current and lifetime smoking exposures. Environ Health Perspect. 2014;122:131–7.

    Article  PubMed  Google Scholar 

  58. Kertes DA, Kamin HS, Hughes DA, Rodney NC, Bhatt S, Mulligan CJ. Prenatal maternal stress predicts methylation of genes regulating the hypothalamic-pituitary-adrenocortical system in mothers and newborns in the Democratic Republic of Congo. Child Dev. 2016;87:61–72.

    Article  PubMed  PubMed Central  Google Scholar 

  59. National Institute of Environmental Health Sciences (NIEHS). Toxicant exposures and responses by genomic and epigenomic regulators of transcription (TaRGET) program. www.niehs.nih.gov/research/supported/health/envepi/target/index.cfm. Accessed 6 May 2019.

  60. National Institute of Environmental Health Sciences (NIEHS). Transgenerational inheritance in mammals after environmental exposure (TIME) program. www.niehs.nih.gov/research/supported/health/envepi/time/index.cfm. Accessed 6 May 2019.

  61. Wang T, Pehrsson EC, Purushotham D, Li D, Zhuo X, Zhang B, et al. The NIEHS TaRGET II Consortium and environmental epigenomics. Nat Biotechnol. 2018;36:225–7.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  62. Morello-Frosch R, Varshavsky J, Liboiron M, Brown P, Brody JG. Communicating results in post-Belmont era biomonitoring studies: lessons from genetics and neuroimaging research. Environ Res. 2015;136:363–72.

    Article  CAS  PubMed  Google Scholar 

  63. Vidaki A, Daniel B, Court DS. Forensic DNA methylation profiling—potential opportunities and challenges. Forensic Sci Int Genet. 2013;7:499–507.

    Article  CAS  PubMed  Google Scholar 

  64. Wiener CJ. Transgenerational tort liability for epigenetic disease. DePaul J Health Care Law. 2011;13:319–37.

    Google Scholar 

  65. Menezo Y, Clement P, Dale B. DNA methylation patterns in the early human embryo and the epigenetic/imprinting problems: a plea for a more careful approach to human assisted reproductive technology (ART). Int J Mol Sci. 2019;20:1342.

    Article  PubMed Central  Google Scholar 

  66. Schleiter KE. Proving causation in environmental litigation. Virtual Mentor. 2009;11:456–60.

    Article  PubMed  Google Scholar 

  67. Laubach K. Epigenetics and toxic torts: how epidemiological evidence informs causation. Wash Lee L Rev. 2016;73:1019–62.

    Google Scholar 

  68. Mykitiuk R, Cattapan A, Pioro M. Notions of reproductive harm in Canadian law: addressing exposures to household chemicals as reproductive torts. Osgoode Digital Commons 2015;Paper 2372. https://digitalcommons.osgoode.yorku.ca/scholarly_works/2372/. Accessed 6 May 2019.

  69. Hedlund M. Epigenetic responsibility. Med Stud. 2012;3:171–83.

    Article  Google Scholar 

  70. Radford EJ, Ito M, Shi H, Corish JA, Yamazawa K, Isganaitis E, et al. In utero effects. In utero undernourishment perturbs the adult sperm methylome and intergenerational metabolism. Science. 2014;345:1255903.

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  71. Ost A, Lempradl A, Casas E, Weigert M, Tiko T, Deniz M, et al. Paternal diet defines offspring chromatin state and intergenerational obesity. Cell. 2014;159:1352–64.

    Article  PubMed  CAS  Google Scholar 

  72. Hao C, Gely-Pernot A, Kervarrec C, Boudjema M, Becker E, Khil P, et al. Exposure to the widely used herbicide atrazine results in deregulation of global tissue-specific RNA transcription in the third generation and is associated with a global decrease of histone trimethylation in mice. Nucleic Acids Res. 2016;44:9784–802.

    CAS  PubMed  PubMed Central  Google Scholar 

  73. Hanson MA, Skinner MK. Developmental origins of epigenetic transgenerational inheritance. Environ Epigenet. 2016. https://doi.org/10.1093/eep/dvw002.

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  74. Gaff CL, Clarke AJ, Atkinson P, Sivell S, Elwyn G, Iredale R, et al. Process and outcome in communication of genetic information within families: a systematic review. Eur J Hum Genet. 2007;15:999–1011.

    Article  PubMed  Google Scholar 

  75. Gilbar R. Communicating genetic information in the family: the familial relationship as the forgotten factor. J Med Ethics. 2007;33:390–3.

    Article  PubMed  PubMed Central  Google Scholar 

  76. Etchegary H, Fowler K. They had the right to know.’ Genetic risk and perceptions of responsibility. Psychol Health. 2008;23:707–27.

    Article  PubMed  Google Scholar 

  77. Black L, McClellan KA. Familial communication of research results: a need to know? J Law Med Ethics. 2011;39:605–13.

    Article  PubMed  Google Scholar 

  78. U.S. Department of health and human services. Health Insurance Portability and Accountability Act Privacy Rule 45 CFR pts 160, 164. https://www.ihs.gov/privacyact/includes/themes/responsive2017/display_objects/documents/PvcFR01.pdf. Accessed 6 May 2019.

  79. Rothstein MA. Reconsidering the duty to warn genetically at-risk relatives. Genet Med. 2018;20:285–90.

    Article  PubMed  Google Scholar 

  80. Nycum G, Knoppers BM, Avard D. Intra-familial obligations to communicate genetic risk information: what foundations? What forms? McGill J Law Health. 2009;3:21–48.

    Google Scholar 

  81. Vears DF, D’Abramo F. Health, wealth and behavioural change: an exploration of role responsibilities in the wake of epigenetics. J Community Genet. 2018;9:153–67.

    Article  PubMed  Google Scholar 

  82. The Human Exposome Project. https://humanexposomeproject.com/. Accessed 6 May 2019.

  83. Personal Genome Project: UK. https://www.personalgenomes.org.uk/. Accessed 6 May 2019.

  84. Lunshof JE, Chadwick R, Vorhaus DB, Church GM. From genetic privacy to open consent. Nat Rev Genet. 2008;9:406–11.

    Article  CAS  PubMed  Google Scholar 

  85. Personal Genome Project: UK. PGP-UK data reports. www.personalgenomes.org.uk/data/. Accessed 6 May 2019.

  86. PGP-UK Consortium. Personal genome project UK (PGP-UK): a research and citizen science hybrid project in support of personalized medicine. BMC Med Genet. 2018;11:108.

    Google Scholar 

  87. Kaufman D, Murphy J, Scott J, Hudson K. Subjects matter: a survey of public opinions about a large genetic cohort study. Genet Med. 2008;10:831–9.

    Article  PubMed  Google Scholar 

  88. Allen NL, Karlson EW, Malspeis S, Lu B, Seidman CE, Lehmann LS. Biobank participants’ preferences for disclosure of genetic research results: perspectives from the OurGenes, OurHealth, OurCommunity project. Mayo Clin Proc. 2014;89:738–46.

    Article  PubMed  Google Scholar 

  89. Fleming J, Critchley C, Otlowski M, Stewart C, Kerridge I. Attitudes of the general public towards the disclosure of individual research results and incidental findings from biobank genomic research in Australia. Intern Med J. 2015;45:1274–9.

    Article  CAS  PubMed  Google Scholar 

  90. Meulenkamp TM, Gevers SK, Bovenberg JA, Koppelman GH, Vlieg AV, Smets EMA. Communication of biobanks’ research results: what do (potential) participants want? Am J Med Genet A. 2010;152A:2482–92.

    Article  PubMed  Google Scholar 

  91. Loud JT, Bremer RC, Mai PL, Peters JA, Giri N, Stewart DR, et al. Research participant interest in primary, secondary, and incidental genomic findings. Genet Med. 2016;18:1218–25.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  92. Jelsig AM, Qvist N, Brusgaard K, Ousager LB. Research participants in NGS studies want to know about incidental findings. Eur J Hum Genet. 2015;23:1423–6.

    Article  PubMed  PubMed Central  Google Scholar 

  93. Wynn J, Martinez J, Duong J, Chiuzan C, Phelan JC, Fyer A, et al. Research participants’ preferences for hypothetical secondary results from genomic research. J Genet Couns. 2017;26:841–51.

    Article  PubMed  Google Scholar 

  94. Yamamoto K, Hachiya T, Fukushima A, Nakaya N, Okayama A, Tanno K, et al. Population-based biobank participants’ preferences for receiving genetic test results. J Hum Genet. 2017;62:1037–48.

    Article  PubMed  PubMed Central  Google Scholar 

  95. O'Daniel J, Haga SB. Public perspectives on returning genetics and genomics research results. Public Health Genomics. 2011;14:346–55.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  96. Sanderson SC, Brothers KB, Mercaldo ND, Clayton EW, Antommaria AHM, Aufox SA, et al. Public attitudes toward consent and data sharing in biobank research: a large multi-site experimental survey in the US. Am J Hum Genet. 2017;100:414–27.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  97. Green RC, Berg JS, Grody WW, Kalia SS, Korf BR, Martin CL, et al. ACMG recommendations for reporting of incidental findings in clinical exome and genome sequencing. Genet Med. 2013;15:565–74.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  98. ACMG Board of Directors. ACMG policy statement: updated recommendations regarding analysis and reporting of secondary findings in clinical genome-scale sequencing. Genet Med. 2015;17:68–9.

    Article  Google Scholar 

  99. Juengst ET, Fishman JR, McGowan ML, Settersten RA Jr. Serving epigenetics before its time. Trends Genet. 2014;30:427–9.

    Article  CAS  PubMed  Google Scholar 

  100. Lappé M. Epigenetics, media coverage, and parent responsibilities in the post-genomic era. Curr Genetic Med Rep. 2016;4:92–7.

    Article  Google Scholar 

  101. Seitz SB. State of epigenetics in public discourse in epigenetics. In: Heil R, Seitz SB, König H, Robienski J, editors. Epigenetics: ethical, legal and social aspects. Wiesbaden: Springer; 2016. p. 109–23.

    Google Scholar 

  102. International human epigenome Consortium. Suggested policy: points-to-consider on the return of epigenetic research results. http://ihec-epigenomes.org/fileadmin/user_upload/documents/Points-to-Consider_on_the_Return_of_Epigenetic_Research_Results.pdf. Accessed 6 May 2019.

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Acknowledgments

We would like to thank Dena Procaccini, Elise Feingold, Nicole Lockhart, Dave Kaufman, Adrian Thorogood, Ma’n Zawati, and Bartha Knoppers for helpful comments on the P-t-C, and Dena Procaccini and Tony Kwan for assistance with IHEC project management.

Funding

SOMD, KMS, CD, TP, and YJ acknowledge funding for the McGill Epigenomics Mapping Centre from the Canadian Institutes of Health Research (EP1–120608, EP1–120609, and CEE-151618). SOMD is also supported by Genome Quebec, Genome Canada, the Government of Canada, and the Ministère de l’Économie, Innovation et Exportation du Québec (Can-SHARE grant 141210), and by the Canada Research Chair in Law and Medicine. SB and APW acknowledge funding from the National Institute for Health Research (NIHR) University College London Hospitals (UCLH) Biomedical Research Centre (BRC369/CN/SB/101310) and from the NIHR Blood & Transplant Research Unit (BTRU) (NIHR-BTRU-2014-10074). The views expressed are those of the authors and not necessarily those of the NIHR or the Department of Health and Social Care. RS acknowledges funding for research in the field of epigenetics from the German Federal Ministry of Education and Research within the frameworks of the Imprinting Network (01GM1513F), the RESET-AID Network (01KU1502A), and the ICGC-DE-Mining Project (01KU1505G).

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Author notes

  1. Katie M. Saulnier and Charles Dupras contributed equally to this work.

Authors and Affiliations

  1. Centre of Genomics and Policy, Faculty of Medicine, McGill University, Montreal, Quebec, H3A 0G1, Canada

    Stephanie O. M. Dyke, Katie M. Saulnier, Charles Dupras & Yann Joly

  2. Montreal Neurological Institute, Faculty of Medicine, McGill University, Montreal, Quebec, H3A 2B4, Canada

    Stephanie O. M. Dyke

  3. UCL Cancer Institute, University College London, London, WC1E 6DD, UK

    Amy P. Webster & Stephan Beck

  4. The Hastings Center, Garrison, NY, 10524-4125, USA

    Karen Maschke

  5. Institute for Bioethics, Health Policy and Law, University of Louisville School of Medicine, Louisville, KY, 40202, USA

    Mark Rothstein

  6. Institute of Human Genetics, Ulm University Medical Center, 89091, Ulm, Germany

    Reiner Siebert

  7. Saarland University, 66123, Saarbrücken, Germany

    Jörn Walter

  8. Department of Human Genetics, McGill University and Genome Quebec Innovation Centre, Montreal, Quebec, H3A 0G1, Canada

    Tomi Pastinen

  9. Center for Pediatric Genomic Medicine, Children’s Mercy Kansas City, Kansas City, MO, 64108, USA

    Tomi Pastinen

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  1. Stephanie O. M. Dyke
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Contributions

SOMD chaired the IHEC Bioethics Workgroup Return of Results Subgroup (ROR Subgroup) and led the research and discussion presented here (with the exception of the UK-PGP pilot study led by SB). All authors were members of the ROR Subgroup and contributed to the research and manuscript preparation. All authors read and approved the final manuscript.

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Correspondence to Stephanie O. M. Dyke.

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Dyke, S.O.M., Saulnier, K.M., Dupras, C. et al. Points-to-consider on the return of results in epigenetic research. Genome Med 11, 31 (2019). https://doi.org/10.1186/s13073-019-0646-6

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  • DOI: https://doi.org/10.1186/s13073-019-0646-6

Keywords

  • Return of results
  • Incidental findings
  • Epigenetics
  • ELSI

Genome Medicine

ISSN: 1756-994X

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