Skip to main content
  • Research article
  • Open access
  • Published:

Evaluation of NTHL1, NEIL1, NEIL2, MPG, TDG, UNG and SMUG1genes in familial colorectal cancer predisposition



The observation that germline mutations in the oxidative DNA damage repair gene MUTYH cause colorectal cancer (CRC) provides strong evidence that dysregulation of the base excision repair (BER) pathway influences disease susceptibility. It is conceivable that germline sequence variation in other BER pathway genes such as NTHL1, NEIL1, NEIL2, MPG, TDG, UNG and SMUG1 also contribute to CRC susceptibility.


To evaluate whether sequence variants of NTHL1, NEIL1, NEIL2, MPG, TDG, UNG and SMUG1 genes might act as CRC susceptibility alleles, we screened the coding sequence and intron-exon boundaries of these genes in 94 familial CRC cases in which involvement of known genes had been excluded.


Three novel missense variants were identified NEIL2 C367A, TDG3 A196G and UNG2 C262T in patients, which were not observed in 188 healthy control DNAs.


We detected novel germline alterations in NEIL2, TDG and UNG patients with CRC. The results suggest a limited role for NTHL1, NEIL1, NEIL2, MPG, TDG, UNG and SMUG1 in development of CRC.

Peer Review reports


A recent twin study indicates that approximately a third of all colorectal cancers (CRC) involve an inherited predisposition [1]. Germline mutations in the known CRC genes (APC, mismatch repair (MMR) genes, MUTYH/MYH, SMAD4, ALK3 and STK11/LKB1) do not, however, account for all of the familial risk of the disease. The observation that mutations in MUTYH predispose to CRC [2, 3]has provided strong evidence that dysregulation of the base excision repair (BER) pathway contributes to disease susceptibility. MUTYH functions as a DNA glycosylase responsible for excision of adenines mis-incorporated opposite 8-oxo-7,8-dihydro-2'-deoxyguanosine (8-oxoG), a stable product of oxidative DNA damage [4]. The BER pathway plays a pivotal role in protecting against oxidative DNA damage and is especially relevant in colorectum, which is characterised by high levels of oxygen radicals generated by bacteria and dietary carcinogens [5, 6].

In addition to MUTYH a number of other DNA glycosylases participate in BER. These include endonuclease III-like 1 (NTHL1, MIM 602556) which acts on oxidized pyrimidine residues; endonuclease VIII-like 1 (NEIL1, MIM 608844) and endonuclease VIII-like 2, (NEIL2, MIM 608933) which initiate the first step in BER by cleaving reactive oxygen species (ROS) damaged bases; N-methylpurine DNA glycosylase (MPG; MIM 156565) which removes a diverse group of damaged bases, including cytotoxic and mutagenic alkylation adducts of purine; thymine-DNA glycosylase (TDG, MIM 601423) which initiates repair of G/T and G/U mismatches, commonly associated with CpG islands, by removing thymine and uracil moieties; uracil-DNA glycosylase (UNG, MIM 191525) which removes uracil in DNA resulting from deamination of cytosine or replicative incorporation of dUMP, and single-strand-selective monofunctional uracil-DNA glycosylase 1 (SMUG1; MIM 607753) which removes uracil from single- and double-stranded DNA in nuclear chromatin.

To evaluate whether germline variants of NTHL1, NEIL1, NEIL2, MPG, TDG, UNG and SMUG1 genes might act as CRC susceptibility alleles, we have screened the coding sequence and intron-exon boundaries of these genes in 94 familial CRC cases.


Ascertainment of cases and controls

Study subjects were ascertained as part of the National Study of Colorectal Cancer (NSCCG). Details of the NSCCG study design are available online [7, 8]. Briefly, the NSCCG was established in March 1999 and is an ongoing study to investigate the role of genetic factors in the aetiology of CRC. To date over 6,000 cases with histologically verified adenocarcinoma of the colon or rectum have been recruited from clinics throughout the United Kingdom. A standardised questionnaire was used to collect phenotypic and family history information from cases and all were asked to provide blood samples for the extraction of DNA. The current study is based on CRC cases that reported family history of CRC in at least one first-degree relative. The 94 cases with the earliest age of CRC were selected. No cases carried biallelic MUTYH mutations or a truncating mutation in APC (associated with familial adenomatous polyposis). Germline mismatch repair gene mutations were excluded by microsatellite instability testing (BAT25, BAT26) in archival tumour specimens. Although not totally comprehensive it provides a relatively robust method of excluding inherited MMR mutations. Controls were cancer free individuals who were spouses or friends of cancer cases selected to match the sex and age of the cases as closely as possible. All study subjects were Caucasian of British ancestry and current UK residents. Genomic DNA was extracted and quantified from the venous blood samples by standard methods.

Table 1 NTHL1, NEIL1, NEIL2, MPG, TDG, UNG and SMUG1 gnes screened for germline mutations.

Informed consent was obtained from all participants and the study was undertaken with local ethical board approval in accordance with the tenets of the Helsinki Declaration.

Mutational analysis

The coding regions and intron-exon boundaries of NTHL1, NEIL1, NEIL2, MPG, TDG, UNG and SMUG1 were PCR amplified. Amplifying primers were designed using the genomic sequence for each gene [9] in conjunction with Primer3 software [10]. Primer sequences and PCR conditions for each gene are detailed in Table 3. PCR products were hybridised and heteroduplexes assayed for small intragenic mutations by conformation sensitive gel electrophoresis (CSGE) [11]. Genomic DNA from cases showing mobility shifts was sequenced using the BigDyeTerminator Cycle Sequencingkit and a 3730xl automated sequencer (Applied Biosystems, Foster City, USA). All mutations were confirmed by sequencing at least two independent PCR products.

Table 3 Sequences of primers and PCR conditions used to screen BER genes.

Bio-informatics analysis

We applied two in silico algorithms, the PolyPhen algorithm [12, 13] and the SIFT algorithm [14, 15], to predict the putative impact of missense variants on protein function.


DNAs from the 94 familial CRC without germline mutations in the known CRC predisposition loci were screened for sequence variants in NTHL1, NEIL1, NEIL2, MPG, TDG, UNG and SMUG1. The average age at diagnosis of CRC in the cases was 54.8 years (SD, 9.3 years; median age 56 years). Of the cases 59 had been diagnosed with colonic disease and 54 were male.

In total 22 sequence variants were identified (Table 2). Eleven of the variants were detected in intronic (not involving consensus splice sites) or untranslated regions. One variant, rs5745908 maps to the second base of the donor splice site in intron 1 of NEIL1. Of these twelve variants, ten have been previously reported as polymorphisms (sequence variants with minor allele frequency greater or equal to 1%) in the dbSNP database [16]. On the basis of the likely absence of effect on protein function and the fact that most were seen in multiple cases, we consider it unlikely that these intronic variants represent high-risk CRC cancer susceptibility alleles. Therefore, these were not additionally investigated. Ten exonic variants were identified. None of the variants caused translational frameshifts or nonsense codons and three were synonymous (i.e. maintaining the amino acid sequence of the translated protein; Table 2). Of the three synonymous variants, two were known polymorphisms documented in dbSNP and only one was a novel change. Seven non-synonymous changes were identified and of these four were documented in dbSNP as polymorphisms. To investigate the population frequency of the three novel missense alterations identified in single unrelated cases (NEIL2 C367A, TDG3 A196G and UNG2 C262T) the relevant exons were screened in 188 cancer-free controls. None of these variants were detected in the controls. The three novel missense variants detected in familial CRC cases were predicted to be probably damaging by both the Polyphen and SIFT algorithms. NEIL2 C367A was detected in a 65-year-old male with CRC. The individual's brother, sister and nephew had also been diagnosed with CRC. Variant TDG3 A196G was identified in a 66-year-old male with rectal cancer. The patient's sister died of CRC at age 47. Variant UNG2 C262T was identified in a male with colonic cancer diagnosed at age 53 whose mother and maternal aunt had CRC diagnosed at age 77 and 72 respectively. Unfortunately for reasons of clinical governance we were not in a position to evaluate tumour blocks from relatives to test for segregation of alleles.

Table 2 Sequence changes in BER genes in familial colorectal cancer cases and controls


We have sought to identify pathogenic germline mutations in seven genes encoding components of the BER system. To empower our analysis we have studied familial cases in which involvement of the known CRC predisposition genes has been excluded. In ascertaining familial cases we have relied on reported information. While inaccuracy in reported family histories is a theoretic limitation, studies have shown that cancers such as CRC are generally reliably reported in first-degree relatives [17].

While MYH associated polyposis is an autosomal recessive disease we purposely did not restrict our analysis to individuals with these phenotypes as there is no evidence a priori that mutations in other BER will operate in a similar fashion, hence it is appropriate to consider all models of inheritance. None of the patients studied harboured clearly pathogenic biallelic sequence variants, nor was there strong evidence that any single variant was disease causing.

We cannot exclude the possibility that a minority of mutations have been missed, but under test conditions we have found that CSGE can detect all small insertions or deletions and 70% of single base substitutions. Here the technique detected a number of single base substitution polymorphisms hence there is over a 90% probability that an allele conferring a 2-fold increase in CRC risk with a population frequency = 1% will have been identified through screening the 94 familial cases. Based on the number of patients we have screened for constitutive mutations we can conclude with 95% probability that germline variation in any of these genes will at best not account for more than 3% of all familial CRCs in the British population (upper 95% confidence interval of point estimate).

We detected a number of novel germline alterations in NEIL2, TDG, UNG genes in patients with CRC. Three novel missense variants detected in familial CRC cases were predicted to be probably damaging by both the Polyphen and SIFT algorithms. While these algorithms have been demonstrated in benchmarking studies to successfully categorise 80% of amino acid substitutions [18], predictions about the functional consequences of amino acid changes are not definitive and require validation in functional assays. Overall results suggest at best a limited role for these variants in predisposition.

The substrates of the BER glycosylases overlap and therefore there is functional redundancy within the oxidative DNA damage repair system. On this basis it is perhaps not surprising that we did not identify disease causing mutations in our study. Such an assertion does not however, take into account the fact that mutation of MUTYH is causative of CRC. Finally, our current analyses do not exclude the possibility that sequence variants in the genes we analysed are associated with low penetrance CRC susceptibility. Evaluation of this hypothesis will require additional studies comparing the frequency of gene sequence variants in large series of CRC cancer cases and healthy controls.


We report here the first NEIL2, TDG, UNG germline alterations in patients with CRC. However, the rarity of such alterations suggests a limited role for sequence variation in defining predisposition. Notwithstanding, germline variants in these genes do exist and may be associated with susceptibility, but further studies including functional analyses are needed for confirmation.



adenomatosis polyposis coli


base excision repair


colorectal cancer


conformation sensitive gel electrophoresis


mismatch repair


N-@methylpurine DNA glycosylase


MutY, E.coli, homolog of


endonuclease VIII-like 1


endonuclease VIII-like 2


National Study of Colorectal Cancer


endonuclease III-like 1


reactive oxygen species


single-strand-selective monofunctional uracil-dna glycosylase 1


thymine-DNA glycosylase


uracil-DNA glycosylase


  1. Lichtenstein P, Holm NV, Verkasalo PK, Iliadou A, Kaprio J, Koskenvuo M, Pukkala E, Skytthe A, Hemminki K: Environmental and heritable factors in the causation of cancer--analyses of cohorts of twins from Sweden, Denmark, and Finland. N Engl J Med. 2000, 343 (2): 78-85. 10.1056/NEJM200007133430201.

    Article  CAS  PubMed  Google Scholar 

  2. Al-Tassan N, Chmiel NH, Maynard J, Fleming N, Livingston AL, Williams GT, Hodges AK, Davies DR, David SS, Sampson JR, Cheadle JP: Inherited variants of MYH associated with somatic G:C-->T:A mutations in colorectal tumors. Nat Genet. 2002, 30 (2): 227-232. 10.1038/ng828.

    Article  CAS  PubMed  Google Scholar 

  3. Sieber OM, Lipton L, Crabtree M, Heinimann K, Fidalgo P, Phillips RK, Bisgaard ML, Orntoft TF, Aaltonen LA, Hodgson SV, Thomas HJ, Tomlinson IP: Multiple colorectal adenomas, classic adenomatous polyposis, and germ-line mutations in MYH. N Engl J Med. 2003, 348 (9): 791-799. 10.1056/NEJMoa025283.

    Article  PubMed  Google Scholar 

  4. Slupska MM, Luther WM, Chiang JH, Yang H, Miller JH: Functional expression of hMYH, a human homolog of the Escherichia coli MutY protein. J Bacteriol. 1999, 181 (19): 6210-6213.

    CAS  PubMed  PubMed Central  Google Scholar 

  5. Ames BN, Gold LS: Endogenous mutagens and the causes of aging and cancer. Mutat Res. 1991, 250 (1-2): 3-16.

    Article  CAS  PubMed  Google Scholar 

  6. Huycke MM, Gaskins HR: Commensal bacteria, redox stress, and colorectal cancer: mechanisms and models. Exp Biol Med (Maywood). 2004, 229 (7): 586-597.

    CAS  Google Scholar 

  7. National Study of Colorectal Cancer Genetics Trial. []

  8. Royal Marsden Hospital Trust/Institute of Cancer Research Family History and DNA Registry. []

  9. University of California Santa Cruz (UCSC) Human Genome Browser. []

  10. Primer3. []

  11. Ganguly A, Rock MJ, Prockop DJ: Conformation-sensitive gel electrophoresis for rapid detection of single-base differences in double-stranded PCR products and DNA fragments: evidence for solvent-induced bends in DNA heteroduplexes. Proc Natl Acad Sci U S A. 1993, 90 (21): 10325-10329. 10.1073/pnas.90.21.10325.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  12. Polymorphism Phenotyping (PolyPhen). []

  13. Ramensky V, Bork P, Sunyaev S: Human non-synonymous SNPs: server and survey. Nucleic Acids Res. 2002, 30 (17): 3894-3900. 10.1093/nar/gkf493.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  14. Sorting Intolerant from Tolerant (SIFT). []

  15. Ng PC, Henikoff S: Predicting deleterious amino acid substitutions. Genome Res. 2001, 11 (5): 863-874. 10.1101/gr.176601.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  16. National Center for Biotechnology Information (NCBI) dbSNP Database. [http://wwwncbinlmnihgov/SNP/]; .

  17. Kerber RA, Slattery ML: Comparison of self-reported and database-linked family history of cancer data in a case-control study. Am J Epidemiol. 1997, 146 (3): 244-248.

    Article  CAS  PubMed  Google Scholar 

  18. Xi T, Jones IM, Mohrenweiser HW: Many amino acid substitution variants identified in DNA repair genes during human population screenings are predicted to impact protein function. Genomics. 2004, 83 (6): 970-979. 10.1016/j.ygeno.2003.12.016.

    Article  CAS  PubMed  Google Scholar 

Pre-publication history

Download references


We are grateful to all the study participants and their clinicians. Funding for this work was supported by grants from Cancer Research UK. The NSCCG is supported by NCRN (National Cancer Research Network) and CORE.

Author information

Authors and Affiliations


Corresponding author

Correspondence to Richard S Houlston.

Additional information

Competing interests

The author(s) declare that they have no competing interests.

Authors' contributions

PB, TB, JV, SL and IC carried out the genetic studies. PB and RSH were responsible for drafting and revising the manuscript. PB and RSH were involved in design of the study, providing important intellectual content and acquisition of the study material. All authors read and approved the final manuscript.

Rights and permissions

Open Access This article is published under license to BioMed Central Ltd. This is an Open Access article is distributed under the terms of the Creative Commons Attribution License ( ), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Reprints and permissions

About this article

Cite this article

Broderick, P., Bagratuni, T., Vijayakrishnan, J. et al. Evaluation of NTHL1, NEIL1, NEIL2, MPG, TDG, UNG and SMUG1genes in familial colorectal cancer predisposition. BMC Cancer 6, 243 (2006).

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: