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AOP: 644

Title

A descriptive phrase which references both the Molecular Initiating Event and Adverse Outcome.It should take the form “MIE leading to AO”. For example, “Aromatase inhibition leading to reproductive dysfunction” where Aromatase inhibition is the MIE and reproductive dysfunction the AO. In cases where the MIE is unknown or undefined, the earliest known KE in the chain (i.e., furthest upstream) should be used in lieu of the MIE and it should be made clear that the stated event is a KE and not the MIE.  More help

Bulky DNA adducts leading to chromosomal aberrations and mutations

Short name
A name that succinctly summarises the information from the title. This name should not exceed 90 characters. More help
Bulky DNA adducts, chromosomal aberrations, and mutations
The current version of the Developer's Handbook will be automatically populated into the Handbook Version field when a new AOP page is created.Authors have the option to switch to a newer (but not older) Handbook version any time thereafter. More help
Handbook Version v2.8

Graphical Representation

A graphical representation of the AOP.This graphic should list all KEs in sequence, including the MIE (if known) and AO, and the pair-wise relationships (links or KERs) between those KEs. More help
Click to download graphical representation template Explore AOP in a Third Party Tool

Authors

The names and affiliations of the individual(s)/organisation(s) that created/developed the AOP. More help

Point of Contact

The user responsible for managing the AOP entry in the AOP-KB and controlling write access to the page by defining the contributors as described in the next section.   More help
Beckner Andersano   (email point of contact)

Contributors

Users with write access to the AOP page.  Entries in this field are controlled by the Point of Contact. More help
  • Beckner Andersano

Coaches

This field is used to identify coaches who supported the development of the AOP.Each coach selected must be a registered author. More help

OECD Information Table

Provides users with information concerning how actively the AOP page is being developed and whether it is part of the OECD Workplan and has been reviewed and/or endorsed. OECD Project: Assigned upon acceptance onto OECD workplan. This project ID is managed and updated (if needed) by the OECD. OECD Status: For AOPs included on the OECD workplan, ‘OECD status’ tracks the level of review/endorsement of the AOP . This designation is managed and updated by the OECD. Journal-format Article: The OECD is developing co-operation with Scientific Journals for the review and publication of AOPs, via the signature of a Memorandum of Understanding. When the scientific review of an AOP is conducted by these Journals, the journal review panel will review the content of the Wiki. In addition, the Journal may ask the AOP authors to develop a separate manuscript (i.e. Journal Format Article) using a format determined by the Journal for Journal publication. In that case, the journal review panel will be required to review both the Wiki content and the Journal Format Article. The Journal will publish the AOP reviewed through the Journal Format Article. OECD iLibrary published version: OECD iLibrary is the online library of the OECD. The version of the AOP that is published there has been endorsed by the OECD. The purpose of publication on iLibrary is to provide a stable version over time, i.e. the version which has been reviewed and revised based on the outcome of the review. AOPs are viewed as living documents and may continue to evolve on the AOP-Wiki after their OECD endorsement and publication.   More help
OECD Project # OECD Status Reviewer's Reports Journal-format Article OECD iLibrary Published Version
This AOP was last modified on July 20, 2026 08:58

Revision dates for related pages

Page Revision Date/Time
Bulky DNA adducts, increase May 17, 2021 09:48
Inadequate DNA repair March 08, 2024 12:15
Increase, DNA strand breaks December 17, 2024 11:57
Increase, Mutations May 15, 2023 08:47
Increase, Chromosomal aberrations March 08, 2024 12:20
Bulky DNA adducts, increase leads to Increase, DNA strand breaks June 29, 2026 16:53
Bulky DNA adducts, increase leads to Inadequate DNA repair May 17, 2021 09:13
Bulky DNA adducts, increase leads to Increase, Mutations September 14, 2021 16:47
Bulky DNA adducts, increase leads to Increase, Chromosomal aberrations July 19, 2026 18:09
Increase, DNA strand breaks leads to Increase, Mutations January 09, 2023 21:05
Inadequate DNA repair leads to Increase, DNA strand breaks July 03, 2026 13:37
Increase, DNA strand breaks leads to Inadequate DNA repair March 08, 2024 14:56
Inadequate DNA repair leads to Increase, Mutations March 08, 2024 15:00
Inadequate DNA repair leads to Increase, Chromosomal aberrations December 17, 2024 12:37
Increase, DNA strand breaks leads to Increase, Chromosomal aberrations January 09, 2023 21:05
Benzo(a)pyrene March 20, 2020 20:17
Benzo(b)fluoranthene July 03, 2026 11:22
Aristolochic acid May 09, 2017 15:56
Naphthalene July 03, 2026 11:28
Anthracene July 03, 2026 11:29
Phenanthrene November 29, 2016 18:42
Pyrene July 03, 2026 11:30
Benz(a)anthracene July 03, 2026 11:31
Chrysene July 03, 2026 11:31
5-Methylchrysene July 03, 2026 11:32
3-Methylcholanthrene July 03, 2026 11:32
2-Amino-1-methyl-6-phenylimidazo [4,5-b]pyridine July 03, 2026 11:36

Abstract

A concise and informative summation of the AOP under development that can stand-alone from the AOP page. The aim is to capture the highlights of the AOP and its potential scientific and regulatory relevance. More help

This AOP network describes the linkage of bulky DNA adduct formation to irreversible genomic damage (chromosomal aberrations and mutations). Irreversible genomic damage is of interest by regulators due to its association with multiple adverse health effects such as cancer and heritable disorders.  

Mutagens are genotoxic substances that bind to the DNA sequence, altering the conformation through substitutions, deletions, adductions, or other complex methods. These mutations are possible in both the non-coding and coding regions of DNA and can lead to a silent or functional mutation. Functionality is determined by the location and type of mutation. Bulky DNA adducts are formed by the covalent bonding of a large organic compound to the DNA structure, causing large conformational shifts. Like mutagens, these chemicals' extent of effect depends on location and size of the compound.  

The molecular initiating event (MIE) of this AOP is an increase in bulky DNA adducts. These adducts form in all cell types due to exogenous (i.e., exposure to pollutants) as well as endogenous chemicals. These adducts require specific methods of repair that are complex due to the structure changes. For these reasons, it is possible that the repair mechanisms that usually perform adequately can become overwhelmed and thus inadequate (KE1). Due to the inadequate repair (KE1), as well as the conformational change from the adducts forming (MIE), mutations (AO1) can arise. DNA adducts that have failed repair can cause lesions in the DNA (KE2). With an inadequate repair (KE1) that is already struggling to repair the adducts (MIE), it can fail to repair the lesions (KE2) which can lead to chromosomal aberrations (AO2) and/or mutations (AO1). 

This AOP’s support is strong due to the depth of understanding of the mechanisms involved. Many of the KERs have robust empirical support while certain KE’s have strong evidence of essentiality. For example, inadequate repair (KE1) has been observed leading to both mutations (AO1) and chromosomal aberrations (AO2) in multiple studies. 

We predict that this AOP will gain traffic due to the increasing interest and understanding of the growing abundance of prototypical stressors found in the environment. This AOP points to critical gaps in research and understanding of this pathway. It will also help to guide research to develop quantitative associations as well as modulating factors connecting the KEs across the AOP while providing novel test methods to understand and evaluate the implications of bulky DNA adducts. 

AOP Development Strategy

Context

Used to provide background information for AOP reviewers and users that is considered helpful in understanding the biology underlying the AOP and the motivation for its development.The background should NOT provide an overview of the AOP, its KEs or KERs, which are captured in more detail below. More help

This AOP examines the effects of increased bulky DNA adducts (MIE), on increased mutations (AO1), and chromosomal aberrations (AO2). In addition to summarizing the current state of knowledge, the AOP aims to identify important evidence gaps, support the development of future AOPs, inform the design of novel testing approaches, and contribute to regulatory decision-making. 

The evidence-gathering strategy focused on individual key events (KEs) and key event relationships (KERs). Bulky DNA adducts can form in any organism containing DNA, thus this AOP is not restricted to a specific taxonomic group, species, sex, or life stage. 

Most KEs and KERs included in this AOP were adapted from AOP 296, Oxidative DNA Damage Leading to Chromosomal Aberrations and Mutations. Rather than oxidative DNA damage, the present AOP introduces bulky DNA adducts as the MIE while retaining much of the downstream biological framework. The objective is to determine whether the existing AOP structure remains valid when an alternative MIE is incorporated, thereby demonstrating the adaptability of the AOP framework to related mechanisms of genotoxicity. 

To support this objective, four new KERs are being developed. The first is the adjacent relationship between increased bulky DNA adducts (MIE) and inadequate repair (KE). Three additional non-adjacent KERs are also being evaluated: increased bulky DNA adducts leading directly to increased DNA strand breaks (KE), increased mutations (AO1), and increased chromosomal aberrations (AO2). 

This AOP was developed through the collaborative expertise of researchers at the University of Ottawa, particularly Dr. Carole Yauk, and contributors from the Partnership for the Assessment of Risks from Chemicals (PARC). The project seeks to establish the environmental and regulatory relevance of bulky DNA adduct-forming pollutants and their role in genetic damage. 

Polycyclic aromatic hydrocarbons (PAHs) serve as a representative stressor for this AOP. Following metabolic activation, PAHs can interact with DNA and form covalent bonds with nucleotides, generating bulky DNA adducts (Henkler et al., 2012; Millen et al., 2012). These adducts represent a critical initiating event in the pathway and can disrupt normal DNA structure and function. 

Several validated methods are available for detecting bulky DNA adducts. The ^32P-postlabeling assay is among the most widely used and has undergone numerous methodological refinements to improve sensitivity and application-specific performance (Kovács et al., 2010). Liquid chromatography–tandem mass spectrometry (LC-MS/MS) has also been successfully used for the identification and quantification of bulky DNA adducts (Olsen et al., 2010). 

When bulky DNA adducts are not effectively repaired, they can contribute to altered chromosomal structures, genomic instability, and mutations (Baiken et al., 2021; Henkler et al., 2012). Increased mutation frequencies associated with bulky DNA adduct formation have been observed across multiple tissues and species, demonstrating the broad biological relevance of this mechanism (Akerman et al., 2004; Henkler et al., 2012; Long et al., 2018; Schuster et al., 2024). 

Mutations and genome instability resulting from bulky DNA adducts can be quantified using several experimental approaches. These include in vitro modeling systems (Broschard et al., 1994) and modern error-corrected sequencing technologies, which enable highly sensitive detection of rare mutations (Olsen et al., 2010; Schuster et al., 2024). 

Bulky DNA adducts can also interfere with DNA repair processes, leading to inadequate repair. Deficiencies in repair capacity increase the likelihood that DNA lesions persist and subsequently contribute to DNA strand breaks, chromosomal aberrations, and mutations (Fischer et al., 2018; Liu et al., 2012; Matullo et al., 2001; Mimmler et al., 2016; Thompson et al., 1983). 

DNA strand breaks resulting from inadequate repair can be measured using established methods such as the Comet Assay (Burlinson et al., 2012). In human populations, reduced DNA repair capacity has been associated with elevated mutation frequencies (Matullo et al., 2001), further supporting the importance of repair processes within the pathway. 

Evidence from knockout and knockdown animal models has also highlighted the role of multiple DNA repair pathways in mitigating the effects of bulky DNA adducts. Studies using repair-deficient mice exposed to chemicals known to induce bulky adducts—including PAHs, heterocyclic aromatic amines, and other genotoxic compounds—have demonstrated increased susceptibility to DNA damage and mutagenesis (Fischer et al., 2018; Liu et al., 2012; Matullo et al., 2001; Mimmler et al., 2016; Thompson et al., 1983). 

Overall, the available evidence indicates that inadequate repair is a central mechanistic link within this AOP. Failure to repair bulky DNA adducts increases the persistence of DNA damage, promotes DNA strand breaks, and contributes to the development of both mutations and chromosomal aberrations. These downstream effects collectively support the proposed pathway from bulky DNA adduct formation to adverse genetic outcomes. 

Strategy

Provides a description of the approaches to the identification, screening and quality assessment of the data relevant to identification of the key events and key event relationships included in the AOP or AOP network.This information is important as a basis to support the objective/envisaged application of the AOP by the regulatory community and to facilitate the reuse of its components.  Suggested content includes a rationale for and description of the scope and focus of the data search and identification strategy/ies including the nature of preliminary scoping and/or expert input, the overall literature screening strategy and more focused literature surveys to identify additional information (including e.g., key search terms, databases and time period searched, any tools used). More help

A substantial portion of the documentation and supporting references for this AOP was derived from previously developed AOP descriptions, as well as established key events (KEs) and key event relationships (KERs). 

The initial literature identification strategy was informed by expert input from Dr. Carole Yauk, Emmanuelle Demuynck, and contributors at PARC. In parallel, developers of the original AOP had begun investigating the newly proposed KEs and KERs and provided an Excel file containing previously screened studies classified as either relevant or not relevant to the developing AOP. Studies confirmed to be relevant were imported into Covidence for further review. 

Beginning with a key paper recommended by Dr. Yauk, Connected Papers was used to identify related publications through citation mapping. This included both articles that cited the original paper and those referenced within it. 

Because relatively few studies were identified for developing KEs and KERs, through connected papers, the search strategy was expanded using a modified approach based on Huliganga et al. (2022). Broad literature searches were conducted through the University of Ottawa’s Omni search platform using Boolean queries with the “any field contains” option. Searches combined terms representing upstream and downstream KEs, including bulky adduct and chromosome; bulky adducts and chromosomal aberrations; bulky adducts and mutations; inadequate repair and mutation; and inadequate repair and DNA strand breaks. 

Due to time constraints and the use of a single reviewer, only the first 50 results from each search were exported in RIS format and uploaded to Covidence. Inclusion criteria were developed using a modified PECO framework adapted from Huliganga et al. (2022). 

During title and abstract screening, notes were recorded in Covidence to indicate potential relevance to specific KEs or KERs. Full-text screening was then conducted to confirm these preliminary classifications and identify any additional relationships. Studies that provided support for a KE or KER were documented and retained for evidence of evaluation. 

Both biological plausibility and empirical evidence were assessed for each developing KE and KER to identify evidence gaps. This assessment revealed a lack of temporal evidence supporting the relationship between increased bulky DNA adducts (MIE) and chromosomal aberrations (AO2). 

To verify whether supporting studies existed for this relationship, additional targeted searches were conducted. These searches focused exclusively on the KER linking bulky DNA adducts and chromosomal aberrations, including variations of both terms and the use of the “any field contains the exact phrase” search option. The complete search queries are provided below. 

Because these targeted searches returned fewer than 50 results on average, title and abstract screening were conducted directly within Omni rather than through Covidence. However, the same inclusion criteria were applied. In total, 156 articles were screened across all search stages. 

The final search day was the 16th of July using OMNI, supplied by the University of Ottawa, to find any existing support for the KER: Increasing Bulky adducts -> Increase chromosomal aberrations. In this Boolean search, “Bulky DNA adducts” and “chromosomal aberrations" was used to yield 24 articles. Each article was read, first starting with discussion and results to determine if observations were of the desired key events. If the article included one of the desired key events, it was then read for background information and methods to determine inclusion based on the initial criteria. 

A key limitation of this review is the relatively small number of articles assessed. Additionally, the literature searches were conducted on different dates, which may have resulted in the omission of relevant studies or inconsistencies in article retrieval. 

Future reviews would benefit from conducting all searches on a single date and performing a final update search immediately before publication. This approach would help capture newly published studies and improve the completeness and reproducibility of the evidence-gathering process. 

Summary of the AOP

This section is for information that describes the overall AOP.The information described in section 1 is entered on the upper portion of an AOP page within the AOP-Wiki. This is where some background information may be provided, the structure of the AOP is described, and the KEs and KERs are listed. More help

Events:

Molecular Initiating Events (MIE)
An MIE is a specialised KE that represents the beginning (point of interaction between a prototypical stressor and the biological system) of an AOP. More help
Key Events (KE)
A measurable event within a specific biological level of organisation. More help
Adverse Outcomes (AO)
An AO is a specialized KE that represents the end (an adverse outcome of regulatory significance) of an AOP. More help
Type Event ID Title Short name
MIE 1879 Bulky DNA adducts, increase Bulky DNA adducts, increase
KE 155 Inadequate DNA repair Inadequate DNA repair
KE 1635 Increase, DNA strand breaks Increase, DNA strand breaks
AO 185 Increase, Mutations Increase, Mutations
AO 1636 Increase, Chromosomal aberrations Increase, Chromosomal aberrations

Relationships Between Two Key Events (Including MIEs and AOs)

This table summarizes all of the KERs of the AOP and is populated in the AOP-Wiki as KERs are added to the AOP.Each table entry acts as a link to the individual KER description page. More help

Network View

This network graphic is automatically generated based on the information provided in the MIE(s), KEs, AO(s), KERs and Weight of Evidence (WoE) summary tables. The width of the edges representing the KERs is determined by its WoE confidence level, with thicker lines representing higher degrees of confidence. This network view also shows which KEs are shared with other AOPs. More help

Prototypical Stressors

A structured data field that can be used to identify one or more “prototypical” stressors that act through this AOP. Prototypical stressors are stressors for which responses at multiple key events have been well documented. More help

Life Stage Applicability

The life stage for which the AOP is known to be applicable. More help
Life stage Evidence
All life stages High

Taxonomic Applicability

Latin or common names of a species or broader taxonomic grouping (e.g., class, order, family) can be selected.In many cases, individual species identified in these structured fields will be those for which the strongest evidence used in constructing the AOP was available. More help
Term Scientific Term Evidence Link
all species all species High NCBI

Sex Applicability

The sex for which the AOP is known to be applicable. More help
Sex Evidence
Unspecific High

Overall Assessment of the AOP

Addressess the relevant biological domain of applicability (i.e., in terms of taxa, sex, life stage, etc.) and Weight of Evidence (WoE) for the overall AOP as a basis to consider appropriate regulatory application (e.g., priority setting, testing strategies or risk assessment). More help

Domain of Applicability

Addressess the relevant biological domain(s) of applicability in terms of sex, life-stage, taxa, and other aspects of biological context. More help

Essentiality of the Key Events

The essentiality of KEs can only be assessed relative to the impact of manipulation of a given KE (e.g., experimentally blocking or exacerbating the event) on the downstream sequence of KEs defined for the AOP. Consequently, evidence supporting essentiality is assembled on the AOP page, rather than on the independent KE pages that are meant to stand-alone as modular units without reference to other KEs in the sequence. The nature of experimental evidence that is relevant to assessing essentiality relates to the impact on downstream KEs and the AO if upstream KEs are prevented or modified. This includes: Direct evidence: directly measured experimental support that blocking or preventing a KE prevents or impacts downstream KEs in the pathway in the expected fashion. Indirect evidence: evidence that modulation or attenuation in the magnitude of impact on a specific KE (increased effect or decreased effect) is associated with corresponding changes (increases or decreases) in the magnitude or frequency of one or more downstream KEs. More help

Evidence Assessment

Addressess the biological plausibility, empirical support, and quantitative understanding from each KER in an AOP. More help

Known Modulating Factors

Modulating factors (MFs) may alter the shape of the response-response function that describes the quantitative relationship between two KES, thus having an impact on the progression of the pathway or the severity of the AO.The evidence supporting the influence of various modulating factors is assembled within the individual KERs. More help
Modulating Factor (MF) Influence or Outcome KER(s) involved
     

Quantitative Understanding

Optional field to provide quantitative weight of evidence descriptors.  More help

Considerations for Potential Applications of the AOP (optional)

Addressess potential applications of an AOP to support regulatory decision-making.This may include, for example, possible utility for test guideline development or refinement, development of integrated testing and assessment approaches, development of (Q)SARs / or chemical profilers to facilitate the grouping of chemicals for subsequent read-across, screening level hazard assessments or even risk assessment. More help

References

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

Alexandra S. Long, Christine L. Lemieux, Volker M. Arlt, Paul A. White, Tissue-specific in vivo genetic toxicity of nine polycyclic aromatic hydrocarbons assessed using the Muta™Mouse transgenic rodent assay, Toxicology and Applied Pharmacology, Volume 290, 2016, Pages 31-42, ISSN 0041-008X, https://doi.org/10.1016/j.taap.2015.11.010. 

G.S Akerman, B.A Rosenzweig, O.E Domon, L.J McGarrity, L.R Blankenship, C.A Tsai, S.J Culp, J.T MacGregor, F.D Sistare, J.J Chen, S.M Morris, Gene expression profiles and genetic damage in benzo(a)pyrene diol epoxide-exposed TK6 cells, Mutation Research - Fundamental and Molecular Mechanisms of Mutagenesis, Volume 549, Issues 1–2, 2004, Pages 43-64, ISSN 1386-1964, https://doi.org/10.1016/j.mrfmmm.2003.11.013.  

Baiken Y, Kanayeva D, Taipakova S, Groisman R, Ishchenko AA, Begimbetova D, Matkarimov B and Saparbaev M (2021) Role of Base Excision Repair Pathway in the Processing of Complex DNA Damage Generated by Oxidative Stress and Anticancer Drugs. Front. Cell Dev. Biol. 8:617884. doi: 10.3389/fcell.2020.617884 

Fischer, J.M.F., Zubel, T., Jander, K. et al. PARP1 protects from benzo[a]pyrene diol epoxide-induced replication stress and mutagenicity. Arch Toxicol 92, 1323–1340 (2018). https://doi.org/10.1007/s00204-017-2115-6 

P Georgiadis, N.A Demopoulos, J Topinka, G Stephanou, M Stoikidou, M Bekyrou, K Katsouyianni, R Sram, H Autrup, S.A Kyrtopoulos, 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, Volume 149, Issues 1–3, 2004, Pages 269-280, ISSN 0378-4274, https://doi.org/10.1016/j.toxlet.2003.12.038.  

Henkler, F., Stolpmann, K., Luch, A. (2012). Exposure to Polycyclic Aromatic Hydrocarbons: Bulky DNA Adducts and Cellular Responses. In: Luch, A. (eds) Molecular, Clinical and Environmental Toxicology. Experientia Supplementum, vol 101. Springer, Basel. https://doi.org/10.1007/978-3-7643-8340-4_5  

Huliganga E, Marchetti F, O'Brien JM, Chauhan V, Yauk CL. A Case Study on Integrating a New Key Event Into an Existing Adverse Outcome Pathway on Oxidative DNA Damage: Challenges and Approaches in a Data-Rich Area. Front Toxicol. 2022 Apr 28;4:827328. doi: 10.3389/ftox.2022.827328. PMID: 35573276; PMCID: PMC9097222.  

Lan Chun Tu, Sei ichi Matsui, Terry A. Beerman; Hedamycin, a DNA alkylator, induces γH2AX and chromosome aberrations: Involvement of phosphatidylinositol 3-kinase–related kinases and DNA replication fork movement. Mol Cancer Ther 1 August 2005; 4 (8): 1175–1185. https://doi.org/10.1158/1535-7163.MCT-05-0054  

Leslie Recio, Lee R. Shugart, Abraham W. Hsie, The relationship between benzo(a)pyrene diol-epoxide-DNA adducts and mutagenicity in the CHOHPGRT assay, Fundamental and Applied Toxicology, Volume 8, Issue 2, 1987, Pages 243-252, ISSN 0272-0590, https://doi.org/10.1016/0272-0590(87)90123-0.  

Lívia Anna, Reetta Holmila, Katalin Kovács, Erika Győrffy, Zoltán Győri, Judit Segesdi, János Minárovits, Ibolya Soltész, Szilárd Kostič, Attila Csekeő, Kirsti Husgafvel-Pursiainen, Bernadette Schoket, Relationship between TP53 tumour suppressor gene mutations and smoking-related bulky DNA adducts in a lung cancer study population from Hungary, Mutagenesis, Volume 24, Issue 6, November 2009, Pages 475–480, https://doi.org/10.1093/mutage/gep031  

Long, A.S., Wills, J.W., Krolak, D. et al. Benchmark dose analyses of multiple genetic toxicity endpoints permit robust, cross-tissue comparisons of MutaMouse responses to orally delivered benzo[a]pyrene. Arch Toxicol 92, 967–982 (2018). https://doi.org/10.1007/s00204-017-2099-2  

Matullo, G., Guarrera, S., Carturan, S., Peluso, M., Malaveille, C., Davico, L., Piazza, A. and Vineis, P. (2001), DNA repair gene polymorphisms, bulky DNA adducts in white blood cells and bladder cancer in a case-control study. Int. J. Cancer, 92: 562-567. https://doi.org/10.1002/ijc.1228 

Maximilian Mimmler, Simon Peter, Alexander Kraus, Svenja Stroh, Teodora Nikolova, Nina Seiwert, Solveig Hasselwander, Carina Neitzel, Jessica Haub, Bernhard H. Monien, Petra Nicken, Pablo Steinberg, Jerry W. Shay, Bernd Kaina, Jörg Fahrer, DNA damage response curtails detrimental replication stress and chromosomal instability induced by the dietary carcinogen PhIP, Nucleic Acids Research, Volume 44, Issue 21, December 2016, Pages 10259–10276, https://doi.org/10.1093/nar/gkw791  

Merlo DF, Agramunt S, Anna L, Besselink H, Botsivali M, Brady NJ, Ceppi M, Chatzi L, Chen B, Decordier I, Farmer PB, Fleming S, Fontana V, Försti A, Fthenou E, Gallo F, Georgiadis P, Gmuender H, Godschalk RW, Granum B, Hardie LJ, Hemminki K, Hochstenbach K, Knudsen LE, Kogevinas M, Kovács K, Kyrtopoulos SA, Løvik M, Nielsen JK, Nygaard UC, Pedersen M, Rydberg P, Schoket B, Segerbäck D, Singh R, Sunyer J, Törnqvist M, van Loveren H, van Schooten FJ, Vande Loock K, von Stedingk H, Wright J, Kleinjans JC, Kirsch-Volders M, van Delft JH; NewGeneris Consortium. Micronuclei in cord blood lymphocytes and associations with biomarkers of exposure to carcinogens and hormonally active factors, gene polymorphisms, and gene expression: the NewGeneris cohort. Environ Health Perspect. 2014 Feb;122(2):193-200. doi: 10.1289/ehp.1206324. Epub 2013 Nov 19. PMID: 24252472; PMCID: PMC3914866.  

Millen, A. L., Sharma, P., & Wetmore, S. D. (2012). C8-Linked Bulky Guanosine DNA Adducts: Experimental And Computational Insights Into Adduct Conformational Preferences And Resulting Mutagenicity. Future Medicinal Chemistry, 4(15), 1981–2007. https://doi.org/10.4155/fmc.12.138  

Mohammad Shoeb, Helen C.S. Meier, James M. Antonini, Telomeres in toxicology: Occupational health, Pharmacology & Therapeutics, Volume 220, 2021, 107742, ISSN 0163-7258, https://doi.org/10.1016/j.pharmthera.2020.107742.  

Nan Mei, Volker M. Arlt, David H. Phillips, Robert H. Heflich, Tao Chen, DNA adduct formation and mutation induction by aristolochic acid in rat kidney and liver, Mutation Research - Fundamental and Molecular Mechanisms of Mutagenesis, Volume 602, Issues 1–2, 2006, Pages 83-91, ISSN 1386-1964, https://doi.org/10.1016/j.mrfmmm.2006.08.004. 

Olsen AK, Andreassen Å, Singh R, Wiger R, Duale N, et al. (2010) Environmental Exposure of the Mouse Germ Line: DNA Adducts in Spermatozoa and Formation of De Novo Mutations during Spermatogenesis. PLOS ONE 5(6): e11349. https://doi.org/10.1371/journal.pone.0011349 

Panagiotis Georgiadis, Jan Topinka, Dimitris Vlachodimitropoulos, Melpomeni Stoikidou, Maria Gioka, Georgia Stephanou, Herman Autrup, Nikolaos A. Demopoulos, Klea Katsouyanni, Radim Sram, Soterios A. Kyrtopoulos, Interactions between CYP1A1 polymorphisms and exposure to environmental tobacco smoke in the modulation of lymphocyte bulky DNA adducts and chromosomal aberrations, Carcinogenesis, Volume 26, Issue 1, January 2005, Pages 93–101, https://doi.org/10.1093/carcin/bgh294 

Paul A White, George R Douglas, David H Phillips, Volker M Arlt, Quantitative relationships between lacZ mutant frequency and DNA adduct frequency in Muta™Mouse tissues and cultured cells exposed to 3-nitrobenzanthrone, Mutagenesis, Volume 32, Issue 2, 1 March 2017, Pages 299–312, https://doi.org/10.1093/mutage/gew067  

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