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Relationship: 3799

Title

A descriptive phrase which clearly defines the two KEs being considered and the sequential relationship between them (i.e., which is upstream, and which is downstream). More help

Bulky DNA adducts, increase leads to Increase, Chromosomal aberrations

Upstream event
The causing Key Event (KE) in a Key Event Relationship (KER). More help
Downstream event
The responding Key Event (KE) in a Key Event Relationship (KER). More help

Key Event Relationship Overview

The utility of AOPs for regulatory application is defined, to a large extent, by the confidence and precision with which they facilitate extrapolation of data measured at low levels of biological organisation to predicted outcomes at higher levels of organisation and the extent to which they can link biological effect measurements to their specific causes.Within the AOP framework, the predictive relationships that facilitate extrapolation are represented by the KERs. Consequently, the overall WoE for an AOP is a reflection in part, of the level of confidence in the underlying series of KERs it encompasses. Therefore, describing the KERs in an AOP involves assembling and organising the types of information and evidence that defines the scientific basis for inferring the probable change in, or state of, a downstream KE from the known or measured state of an upstream KE. More help

AOPs Referencing Relationship

AOP Name Adjacency Weight of Evidence Quantitative Understanding Point of Contact Author Status OECD Status
Bulky DNA adducts leading to chromosomal aberrations and mutations non-adjacent Beckner Andersano (send email) Under development: Not open for comment. Do not cite

Taxonomic Applicability

Latin or common names of a species or broader taxonomic grouping (e.g., class, order, family) that help to define the biological applicability domain of the KER.In general, this will be dictated by the more restrictive of the two KEs being linked together by the KER.  More help
Term Scientific Term Evidence Link
all species all species High NCBI

Sex Applicability

An indication of the the relevant sex for this KER. More help
Sex Evidence
Unspecific High

Life Stage Applicability

An indication of the the relevant life stage(s) for this KER.  More help
Term Evidence
All life stages High

Key Event Relationship Description

Provides a concise overview of the information given below as well as addressing details that aren’t inherent in the description of the KEs themselves. More help

This KER describes the relationship between increased Bulky DNA adduct formation (upstream KD/MIE) and increased chromosomal aberrations (downstream KE/AO2). The likelihood of chromosomal aberrations (downstream KE/AO2) increases with the accumulation and persistence of DNA adducts, particularly bulky adducts that substantially distort DNA structure and interfere with normal DNA replication and repair. Under these conditions, DNA damage is more likely to be converted into structural chromosomal alterations, resulting in an increased frequency of chromosomal aberrations. 

Evidence Collection Strategy

Include a description of the approach for identification and assembly of the evidence base for the KER. For evidence identification, include, for example, a description of the sources and dates of information consulted including expert knowledge, databases searched and associated search terms/strings.  Include also a description of study screening criteria and methodology, study quality assessment considerations, the data extraction strategy and links to any repositories/databases of relevant references.Tabular summaries and links to relevant supporting documentation are encouraged, wherever possible. More help

Evidence was collected for this KER in two methods. The initial method being through expert knowledge from Dr. Carole Yauk, Emmanuelle Demuynck, and the research team at PARC. The second strategy followed that described in Huliganga (2025).  

The initial articles collected were from expert knowledge through presentation as well as previous searches conducted by the PARC team with Emmanuelle as a lead. Notably, the paper provided by Dr. Yauk was used to look for direct connections in connectedpapers.com. Any paper with direct connections, that being a forward or backward citation, were collected. The papers provided by Emmanuelle and the PARC team were already sorted in an Excel spreadsheet. These were then sorted for which were labeled as having “relevance” to the overall AOP and collected. The final two collections were conducted on 6/26/2026 and 7/15/2026, using OMNI (provided by the University of Ottawa). The searches consisted of Boolean strings using either “any field contains” or “any phrase contains exact phrase” requirements with the titles of the KEs as the terms (e.g. “any field contains ‘Bulky adducts’ AND ‘chromosomal aberrations’”). A full list of terms used has been included below. 

The initial search strategy was very focused due to the project deadline. For this reason, the searches were restricted to:  Bulky adduct and chromosome;   Bulky adduct and chromosomal aberrations;  Bulky adducts and mutations;  Inadequate repair and mutation; and   Inadequate repair and DNA strand breaks. 

All articles from expert sources were added to covidence.com for tracking systematic review of the articles. For the searches using OMNI, only the top 50 results were downloaded to RIS file and submitted to covidence.com for review. During this time, covidence was able to remove duplicates as well as help organize inclusion criteria following a modified PECO like that in Huliganga (2025). The inclusion criteria, for this specific KER, included: Bulky DNA adducts, Chromosomal aberrations (or any combination of these two), All species, all life stages. During review of the titles and abstracts it was noted on each paper the reason for inclusion to the next step or the reason for exclusion from the review. Once they reached full text review, the paper was reviewed for relevant data, graphs, methods, as well as background of the KER. Once all papers were reviewed, the data was extracted and placed into the corresponding KER. The final search day, on the 15th of July, was not included in Covidence.com, as there were only 24 articles and it was found easier to read through each paper separately and determine inclusion at the point of reading using the same inclusion criteria. 

Evidence Supporting this KER

Addresses the scientific evidence supporting KERs in an AOP setting the stage for overall assessment of the AOP. More help

The scientific evidence supporting this KER is generally strong particularly with respect to dose-response and incidence concordance. Multiple studies have demonstrated consistent increases in upstream and downstream events across a range of exposure levels and biological tissues, while epidemiological observations show an association between adduct formation and chromosomal aberrations in exposed populations with polymorphisms. Temporal concordance remains less well established, as relatively few studies have directly measured both key events within the same experimental design. This limitation introduces some uncertainty regarding the precise progression of events. Nevertheless, the mechanistic relationship is supported by substantial biological plausibility and convergent empirical evidence from both experimental and observational studies. Overall, despite gaps in temporal evidence and direct event-to-event measurements, the weight of evidence supports a high level of confidence in this KER.  

Biological Plausibility
Addresses the biological rationale for a connection between KEupstream and KEdownstream.  This field can also incorporate additional mechanistic details that help inform the relationship between KEs, this is useful when it is not practical/pragmatic to represent these details as separate KEs due to the difficulty or relative infrequency with which it is likely to be measured.   More help

Bulky DNA adducts distort DNA structure and impede DNA replication (Kaufman et al., 1989, Muipalli A., 2015; Rossner et al., 2015). The adducts are repaired through nucleotide excision repair (NER) which is a very well understood molecular pathway (Gillet et al., 2006; Reardon et al., 2005). Persistent adducts can stall replication forks and generate replication stress (Kaufman et al., 1989), leading to fork collapse and formation of DNA double-strand breaks (Kaufmann et al., 1989). Double-strand breaks are particularly important precursors of chromosomal aberrations because inaccurate repair through pathways such as non-homologous end joining can result in chromosome deletions, translocations, inversions, and other structural alterations (Nikolova et al., 2014; Rossner et al., 2015). Consistent with this mechanism, exposure to benzo[a]pyrene and its reactive metabolite BPDE induces bulky DNA adduct formation, increases markers of DNA double-strand breaks, and is associated with elevated frequencies of chromosomal damage including micronuclei and chromosomal translocations (Kaufmann, 1989; Georgiadis et al., 2004; Long et al., 2018; Rossner et al., 2021). Thus, the relationship between bulky DNA adduct formation and chromosomal aberrations is biologically plausible and supported by established understanding of replication stress, DNA repair failure, and double-strand break generation. 

Uncertainties and Inconsistencies
Addresses inconsistencies or uncertainties in the relationship including the identification of experimental details that may explain apparent deviations from the expected patterns of concordance. More help

The empirical evidence supporting this KER primarily addresses dose concordance and incidence concordance with limited information regarding temporal concordance. This limitation reduces confidence in the quantitative characterization of the relationship. Additionally, without direct adduct measurement, it is difficult to determine downstream sensitivity or other experimental or biological factors. Overall, these limitations introduce uncertainty into the overall weight of evidence supporting the KER. 

Known modulating factors

This table captures specific information on the MF, its properties, how it affects the KER and respective references.1.) What is the modulating factor? Name the factor for which solid evidence exists that it influences this KER. Examples: age, sex, genotype, diet 2.) Details of this modulating factor. Specify which features of this MF are relevant for this KER. Examples: a specific age range or a specific biological age (defined by...); a specific gene mutation or variant, a specific nutrient (deficit or surplus); a sex-specific homone; a certain threshold value (e.g. serum levels of a chemical above...) 3.) Description of how this modulating factor affects this KER. Describe the provable modification of the KER (also quantitatively, if known). Examples: increase or decrease of the magnitude of effect (by a factor of...); change of the time-course of the effect (onset delay by...); alteration of the probability of the effect; increase or decrease of the sensitivity of the downstream effect (by a factor of...) 4.) Provision of supporting scientific evidence for an effect of this MF on this KER. Give a list of references.  More help
Modulating Factor (MF) MF Specification Effect(s) on the KER Reference(s)
Genetic Polymorphism  Any polymorphism impacting nucleotide excision repair, or double strand break repair   An increase in DNA adducts levels (KE upstream) and similar trends in aberrant chromosomes (KE downstream).  Georgiadis et al., 2004; Georgiadis et al., 2005
Damaged Repair Inhibition of ATR-interacting protein (recruits protein kinase ATR as key event in DNA damage response)  A significantly slight increase in aberrations (before inhibition) with a dramatic increase in ATR inhibition.   Mimmler et al., 2016 
Response-response Relationship
Provides sources of data that define the response-response relationships between the KEs.  More help

The graphs below were created using RStudio (version 4.6.1) and using AIC to find the models of best fit. Data was sourced from Long et al., 2018.  

Time-scale
Information regarding the approximate time-scale of the changes in KEdownstream relative to changes in KEupstream (i.e., do effects on KEdownstream lag those on KEupstream by seconds, minutes, hours, or days?). More help

The ability to detail and develop a time-scale relationship for the two KEs is very complex and tissue-specific. Like in dose-response, each tissue has a different rate of metabolism, adduct formation, micronuclei formation, and repair. This causes a need for tissue specific timescales and not one larger organism wide timescale. 

Known Feedforward/Feedback loops influencing this KER
Define whether there are known positive or negative feedback mechanisms involved and what is understood about their time-course and homeostatic limits. More help

No positive or negative feedback mechanisms related to this KER were identified in the literature reviewed. Consequently, there is currently no evidence to indicate whether feedback/feedforward loops influence this relationship, nor is there information available on their time-course, persistence, or homeostatic limits. It should be noted that this conclusion is based on the studies identified in the present literature search. Relevant publications may exist but were not captured due to limitations in search terminology, database coverage, or the number of papers assessed.  

Domain of Applicability

A free-text section of the KER description that the developers can use to explain their rationale for the taxonomic, life stage, or sex applicability structured terms. More help

Due to the conserved structure of DNA across cellular organisms, the potential for bulky adduct formation exists across taxa, sexes, and life stages. Bulky DNA adducts can form in a wide range of cell types following exposure to endogenous and exogenous genotoxic agents (Long et al., 2018). The cellular processes involved in DNA damage recognition and repair are also broadly conserved across species. While quantitative differences in adduct formation and repair may occur among taxa, sexes, and developmental stages, elevated levels of persistent DNA adduct increase the likelihood of chromosomal aberrations in dividing cells. Therefore, this KER is considered broadly applicable across taxa, sexes, and life stages. 

References

List of the literature that was cited for this KER description. More help

Bi, Xiaohui, et al. “DNA Polymerase κ Is Specifically Required for Recovery from the Benzo[a]Pyrene-Dihydrodiol Epoxide (BPDE)-Induced S-Phase Checkpoint.” The Journal of Biological Chemistry [United States], vol. 280, no. 23, June 2005, pp. 22343–55, https://doi.org/10.1074/jbc.M501562200. 

Georgiadis, P., et al. “Impact of Phase I or Phase II Enzyme Polymorphisms on Lymphocyte DNA Adducts in Subjects Exposed to Urban Air Pollution and Environmental Tobacco Smoke.” Toxicology Letters [Shannon], vol. 149, no. 1, April 2004, pp. 269–80, https://doi.org/10.1016/j.toxlet.2003.12.038. 

Georgiadis, Panagiotis, et al. “Interactions between CYP1A1 Polymorphisms and Exposure to Environmental Tobacco Smoke in the Modulation of Lymphocyte Bulky DNA Adducts and Chromosomal Aberrations.” Carcinogenesis (New York) [Oxford], vol. 26, no. 1, January 2005, pp. 93–101, https://doi.org/10.1093/carcin/bgh294. 

Kaufmann, William K. “Pathways of Human Cell Post-Replication Repair.” Carcinogenesis (New York) [Oxford], vol. 10, no. 1, January 1989, pp. 1–11, https://doi.org/10.1093/carcin/10.1.1. 

Long, Alexandra S., et al. “Benchmark Dose Analyses of Multiple Genetic Toxicity Endpoints Permit Robust, Cross-Tissue Comparisons of MutaMouse Responses to Orally Delivered Benzo[a]Pyrene.” Archives of Toxicology [Berlin/Heidelberg], vol. 92, no. 2, February 2018, pp. 967–82, https://doi.org/10.1007/s00204-017-2099-2. 

Mimmler, Maximilian, et al. “DNA Damage Response Curtails Detrimental Replication Stress and Chromosomal Instability Induced by the Dietary Carcinogen PhIP.” Nucleic Acids Research [England], vol. 44, no. 21, December 2016, pp. 10259–76, https://doi.org/10.1093/nar/gkw791. 

Nikolova, Teodora, et al. “The γH2AX Assay for Genotoxic and Nongenotoxic Agents: Comparison of H2AX Phosphorylation with Cell Death Response.” Toxicological Sciences [United States], vol. 140, no. 1, July 2014, pp. 103–17, https://doi.org/10.1093/toxsci/kfu066. 

Pavel Rossner, et al. “Genetic Toxicology and Carcinogenesis.” Toxicology for the Health and Pharmaceutical Sciences, edited by Antonio Peña-Fernández et al., 1st ed., CRC Press, 2022, pp. 81–97, https://doi.org/10.1201/9780203730584-5. 

Rossner, Pavel, et al. “Molecular Epidemiology Focused on Airborne Carcinogens.” Air Pollution and Health Effects, edited by Srikanth S. Nadadur and John W. Hollingsworth, Springer London, Limited, 2015, pp. 185–212, https://doi.org/10.1007/978-1-4471-6669-6_7. 

Tu, Lan Chun, et al. “Hedamycin, a DNA Alkylator, Induces γH2AX and Chromosome Aberrations: Involvement of Phosphatidylinositol 3-Kinase–Related Kinases and DNA Replication Fork Movement.” Molecular Cancer Therapeutics, vol. 4, no. 8, August 2005, pp. 1175–85, https://doi.org/10.1158/1535-7163.MCT-05-0054.