Abstract
Mammalian cells are constantly exposed to genotoxic agents from both endogenous and exogenous sources. Genetic variability in DNA repair contributes to deficient repair and breast cancer risk. Using samples collected in an ongoing, clinic-based, case-control study (253 cases and 268 controls), we tested whether breast cancer risk is associated with four amino acid substitution variants in three DNA repair genes, including XRCC1 Arg194Trp and XRCC1 Arg399Gln in base excision repair, XRCC3 Thr241Met in homologous recombination repair, and ERCC4/XPF Arg415Gln in nucleotide excision repair. Carriers of at least one variant allele of XRCC1 Arg194Trp [Arg/Trp and Trp/Trp versus Arg/Arg, odds ratio (OR) = 1.60, 95% confidence interval (CI) = 0.89–2.87] or two variant alleles of XRCC3 241Met/Metmay have an increased risk of breast cancer (Met/Met versus Thr/Thr and Thr/Met, OR = 1.54, 95% CI = 0.94–2.52). No association between XRCC1 Arg399Gln Dgenotype and breast cancer risk was observed. The genotype distribution of ERCC4/XPF Arg415Gln differed significantly between cases and controls (P = 0.02), and the ERCC4/XPF 415Gln/Gln genotype was found in only seven cases (3%) but not in controls. In addition, breast cancer risk was significantly associated with an increasing number of combined variant alleles of XRCC1 Arg194Trp, XRCC3 Thr241Met, and ERCC4/XPF Arg415Gln in a four-level model (Ptrend = 0.04): OR = 1.0 for those without a variant allele (referent group); OR = 1.04 (95% CI = 0.67–1.61) for those with one variant allele; OR = 1.38 (95% CI = 0.83–2.29) for those with two variant alleles; and age-adjusted OR = 2.60 (95% CI = 1.03–6.59) for those with three or more variant alleles after adjustment for age, family history, age at menarche, age at first live birth, and body mass index. We provide evidence that variants of XRCC1, XRCC3, and ERCC4/XPF genes, particularly in combination, contribute to breast cancer susceptibility.
Introduction
Breast cancer accounts for nearly one-third of all cancer cases diagnosed in American women (1). In 2003, approximately 211,300 women in the United States will be diagnosed with invasive breast cancer, and 39,800 will die of this malignancy (1). Although well-established risk factors, such as age at first child’s birth, nulliparity, and FH7 may account for about 40% of United States breast cancer cases, the majority of cases are attributable to other risk factors (2). It is estimated that about 5% of breast cancer cases are related to rare but highly penetrant genes, such as BRCA1 and BRCA2 (3). However, low-penetrant cancer susceptibility genes may contribute to a large proportion of breast cancer cases because many of them are very common.
Eukaryotic cells are under constant mutagenic assault from endogenous and exogenous sources. IR, an established etiologic agent for breast cancer, and other suspected risk factors, such as chemical carcinogens, alcohol, estrogen, and diet, produce reactive oxygen species, oxidized bases, bulky DNA adducts, and DNA strand breaks (4). Mammalian cells have evolved distinct pathways to repair different types of DNA damage and maintain genomic integrity. Inherited reduction of DNA repair capacity may lead to deletions, amplifications, and/or mutations of critical genes that contribute to breast carcinogenesis (5, 6).
Previous studies have screened DNA repair genes for the presence of polymorphic alleles (7, 8). At least 125 amino acid substitution variants in 37 DNA repair genes have been identified in humans, including genes of NER, BER, and HRR for DSBs. We hypothesize that amino acid substitution variants of DNA repair genes could alter DNA repair capacity and/or fidelity, which may contribute to breast cancer susceptibility. Because different types of DNA damage produced by IR and other breast mutagens are repaired by multiple repair pathways, this study evaluated DNA repair genetic polymorphisms in three repair pathways: (a) X-ray repair complementing defective repair in Chinese hamster cells 1 (XRCC1, exon 6, codon 194 Arg/Trpand exon 10, codon 399 Arg/Gln) for BER; (b) XRCC3 (exon 7, codon 241 Thr/Met) for DSB/HRR; and (c) excision repair cross-complementing rodent repair deficiency, complementation group 4 (ERCC4/XPF; exon 8, codon 415 Arg/Gln) for NER.
XRCC1 participates in BER as a scaffolding intermediate with DNA polymerase β, ADP-ribosyltransferase or poly(ADP-ribose) polymerase, and DNA ligase III in the NH2-terminal, central, and COOH-terminal regions, respectively (9). Cells deficient in XRCC1 display hypersensitivity to IR, UV, hydrogen peroxide, and mitomycin C (10). XRCC3 is required for assembly of Rad51 complexes during DNA repair (11). Cells deficient in XRCC3 are sensitive to IR (∼2-fold) and extremely sensitive to cross-linking agents, such as nitrogen mustard and cisplatin (12, 13). ERCC4/XPF forms a tight complex with ERCC1 to incise 5′ to the damage site recognized and repaired by NER (7). The ERCC4/XPF-ERCC1 complex is essential for interstrand cross-link repair mediated by recombination repair mechanisms. Chinese hamster cell lines defective in ERCC1 or ERCC4/XPF are not only hypersensitive to UV but are also extremely sensitive to DNA interstrand cross-link (14).
To date, only five published studies have examined XRCC1 and/or XRCC3 variants and breast cancer risk (15, 16, 17, 18, 19). To the best of our knowledge, this study is the first examining the association between ERCC4/XPF Arg415Glngenotype and breast cancer risk. Importantly, we also explore the potential combined effect of these three DNA repair variants on breast cancer risk.
Materials and Methods
Study Population.
Breast cancer cases and controls were recruited at North Carolina Baptist Hospital from November 1998 to April 2002. Controls were frequency-matched to cases by age (±5 years) and race. The eligibility criteria included: (a) English-speaking and able to comprehend informed consent; (b) no personal history of any cancers, including skin cancer; and (c) at least 18 years of age. Study subjects received a detailed description of the study protocol and signed their informed consent as approved by the medical center’s institutional review board. Newly diagnosed breast cancer cases were recruited at the Wake Forest University Breast Care Center. Cancer-free controls were recruited at the Outpatient Radiology-Breast Screening Center as they presented for routine screening mammography. Exclusion criteria for controls included any previous cancer history, chronic inflammatory diseases, and abnormal current mammogram results. Blood samples (20 ml) were collected from all study subjects. Each woman was asked to complete a self-administered questionnaire, containing demographic information, established breast cancer risk factors, medical history, and FH. A woman with at least one first-degree relative with breast cancer is classified as having a positive FH. Medical records and pathology reports were used to confirm case-control status. The laboratory personnel did not have knowledge of subjects’ case-control status.
PCR-RFLP Genotyping Assays.
Genomic DNA was isolated from 200 μl of whole blood, using the QIAamp DNA Blood Mini Kit (Qiagen, Valencia, CA). The PCR-RFLP methods for XRCC1 and XRCC3 genotypes were described previously (15). The primer pairs used were: (a) XRCC1 Arg194Trp, F5′-GCCCCGTCCCAGGTA-3′ and R5′-AGCCCCAAGACCCTTTCACT-3′; (b) XRCC1 Arg399Gln, F5′-TCTCCCTTGGTCTCCAACCT-3′ and R5′-AGTAGTCTGCTGGCTCTGG-3′; (c) XRCC3 Thr241Met, F5′-GGTCGAGTGACAGTCCAAAC-3′ and R5′-TGCAACGGCTGAGGGTCTT-3′; and (d) ERCC4/XPF Arg415Gln, F5′-GCACAGGGAAACTAGGAGGA-3′ and R5′-TCGACATCTCCTTCCTCTTC-3′. PCR products were digested with specific restriction enzymes that recognized and cut either the wild-type or variant sequence site. The restriction enzyme used for ERCC4/XPF Arg415Glngenotype was XmnI, and the restricted products of Arg/Arg, Arg/Gln, and Gln/Glnhad band sizes of 96/284 bp, 96/284/380 bp, and 380 bp, respectively. Ten percent of random DNA samples were genotyped the second time, yielding complete agreement with the first set of genotype results.
ERCC4/XPF 415Gln/Gln Genotype Confirmation.
To confirm the seven samples with the ERCC4/XPF 415Gln/Glngenotype, purified PCR products were sequenced using the ABI PRISM Big Dye Terminator Cycle Sequencing Kit (Applied Biosystems, Foster City, CA) according to the manufacturer’s instructions. Automated sequencing was done by cycle sequencing with Ampli-Taq, FS, whereby each dideoxynucleotide triphosphate contained a different fluorescent dye, and sequencing was performed in one tube. The reaction mixtures were denatured for 2 min at 96°C and then subjected to 25 cycles of denaturation at 96°C for 10 s, annealing at 50°C for 15 s, and extension at 60°C for 4 min. The reaction mixtures were then purified by gel filtration on a CentriSep column, and the filtrate was dried and resuspended in 85% formamide/4 mm EDTA pH (8.0)/8 mg/ml Blue Dextran. The samples were loaded onto a 5% Long Ranger sequencing gel containing urea and electrophoresed for 8 h at approximately 1700 V. The fluorescence data from each dideoxynucleotide triphosphate were read and collected in real time on an ABI PRISM 337 DNA sequencer (Applied Biosystems). The DNA synthesis core laboratory of the Comprehensive Cancer Center maintains the automated sequencer.
Statistical Analysis.
Student’s t tests, χ2 tests, and Fisher’s exact tests were used to compare demographic characteristics between cases and controls. χ2 and Fisher’s exact tests were used to test whether genotype data were consistent with HWE and compare the genotype distributions between cases and controls. Crude ORs and 95% CIs evaluating the association between genotype and cancer risk were calculated. Logistic regression was used to calculate ORs and 95% CIs after adjusting for subject characteristics. All two-way interactions between genotypes were considered. A backward-stepping algorithm was used to remove nonsignificant interactions from the model. All of the statistical analyses were carried out using the Statistical Analysis System (SAS Institute, Cary, NC) for personal computers.
Results
The general characteristics of cases and controls are summarized in Table 1. Age, FH, age at menarche, and parity did not significantly differ between cases and controls. However, age at first birth and BMI differed significantly between cases and controls (P < 0.01). Due to the small sample size of non-Caucasian study subjects (37 cases and 42 controls), we limited our analysis to Caucasian women. Surprisingly, we found 12 controls (35% with FH) who participated in mammographic screening ≤40 years of age. It is very likely that women who realize they are at increased risk for breast cancer may have regular mammographic screenings at a younger age.
Detailed genotype distributions are summarized in Table 2. Variant allele frequencies in cancer-free Caucasians were 5% for XRCC1 194Trp, 34% for XRCC1 399Gln, and 37% for XRCC3 241Met, consistent with previous studies (15, 16, 17). Genotype distributions of controls at each locus were consistent with the HWE. However, genotype distributions of XRCC3 Thr241Met(P < 0.05) and ERCC4/XPF Arg415Gln(P < 0.01) in cases were not consistent with the HWE; excess ERCC4/XPF 415Gln/Glnhomozygotes were observed. Genotype distributions of ERCC4/XPF 415Gln(P = 0.02) differed significantly between cases and controls. The observation of deviation from HWE for Thr241Metand Arg415Glnin cases but not in controls indirectly suggests that variant alleles of these two SNPs may be associated with breast cancer risk. There was a weak association between XRCC1 194Trpallele and breast cancer risk (OR = 1.60 and 95% CI = 0.89–2.87 after adjustment for age, FH, age at menarche, age at first live birth, and BMI). No association between XRCC1 Arg399Glngenotype and breast cancer risk was observed. The XRCC3 Met/Metgenotype showed a suggestive association with breast cancer risk (OR = 1.54 and 95% CI = 0.94–2.52 after adjustment for age, FH, age at menarche, age at first live birth, and BMI). The most interesting observation was that only seven breast cancer cases (3%), but not controls, carried the ERCC4/XPF 415 Gln/Glngenotype, which was confirmed by DNA sequencing.
Two-way interactions between three genotypes (XRCC1 Arg194Trp, XRCC3 Thr241Met, and ERCC4/XPF Arg415Gln) were then included in separate logistic models assessing cancer risk. The only significant two-way interaction was between XRCC1 Arg194Trpand ERCC4/XPF Arg415Gln(P < 0.05). The data in Table 3 suggest a potential gene-gene interaction when we combined the variant alleles of XRCC1, XRCC3, and ERCC4/XPF in a four-level model (P = 0.04, test for linear trend): OR = 1.0 for those without any variant allele (referent group); OR = 1.04 (95% CI = 0.67–1.61) for those with one variant allele; OR = 1.38 (95% CI = 0.83–2.29) for those with two variant alleles; and OR = 2.60 (95% CI = 1.03–6.59) for those with three or more variant alleles after adjustment for age, FH, age at menarche, age at first live birth, and BMI. The odds of having cancer were not higher for subjects having one or two variant alleles than for subjects with no variant alleles; however, for subjects having three or more variant alleles, the odds of having cancer increased dramatically.
Discussion
Studies conducted over the past few years have identified variant alleles for a number of DNA repair genes, some of which may modify DNA repair capacity. Characterization of these genotypic variations in DNA repair functions and their association with cancer may help to elucidate cancer etiology (20). With limited sample size, our current data suggest that amino acid substitution variants of DNA repair genes in three repair pathways, particularly in combination, may contribute to breast cancer susceptibility.
Our current data suggest that the XRCC1 194Trpallele may be associated with breast cancer risk, consistent with our previous findings with a different study population (15). However, the XRCC1 Arg194Trpwas not associated with breast cancer risk in another study (16). The Arg194Trpresides in a hydrophobic region of the XRCC1 protein, located between the DNA polymerase β and the ADP-ribosyltransferase-interacting domains (7). XRCC1 coordinates the steps of BER through many protein-protein interactions. The functional significance of the Arg194Trpregion is not clear, and more studies are needed to define its role in daily oxidative damage and DNA strand-break repair.
As a member of HRR, XRCC3 is required for DSB repair and, thus, contributes to cellular genomic stability. Although the XRCC3 Thr241Metpolymorphism does not reside in known XRCC3 functional domains (7), our data support the previous results that indicated that homozygote individuals with the Met/Metgenotype had an increased risk compared with carriers of the Thr/Thrgenotype (17). We did not observe an age-dependent difference in the distribution of the XRCC3 Thr241Metgenotype in cases aged less than 50 years compared with those aged 50 years and over (P = 0.28), as suggested previously (17). The data from a previous study demonstrated that cells expressing the XRCC3 241Metvariant allele were active for DSB/HRR and were not more sensitive to the interstrand cross-linking agent mitomycin C (21). However, their data showed a small but nonsignificant effect (13% decrease) of the XRCC3 241Metvariant allele on homology-directed repair activity (0.15 ± 0.02% for the wild-type allele versus 0.13 ± 0.04% for the variant allele) and mitomycin C hypersensitivity (survival fraction of 0.18 ± 0.005 for the wild-type allele versus 0.17 ± 0.001 for the variant allele, 6% difference; Ref. 21). Although these small differences may be within experimental error, their data suggest a potential functional role of the XRCC3 Thr241Metvariant allele.
To the best of our knowledge, this study is the first to evaluate the ERCC4/XPF Arg415Glnpolymorphism and breast cancer risk. The most intriguing observation is that only seven breast cancer cases (3%), but not controls, carry the ERCC4/XPF 415 Gln/Glngenotype. We have also pilot-tested this SNP in a prostate cancer case-control study (94 controls and 131 cases); no subjects with homozygous variants were identified in either group; the variant allele frequencies were 6.4% for controls and 8.0% for cases, respectively. It is not clear whether the ERCC4/XPF 415 Gln/Glngenotype may play a unique role in breast cancer. XPF patients show mild DNA repair deficiencies and a later onset of skin cancer compared with patients from other XP complementation groups (22). Some XPF disease-related mutations are located near the Arg415Glnregion within exon 8. Future studies are warranted to evaluate the functional significance of ERCC4/XPF Arg415Glnvariant in DNA repair and breast cancer susceptibility.
Considering multiple pathways for repairing diverse DNA damages induced by endogenous and exogenous carcinogens, genetic variants in multiple repair pathways may have a joint or additive effect on breast cancer risk. Therefore, genotypes and phenotypes in different repair pathways must be evaluated simultaneously to fully assess cancer susceptibility. Although our results must be validated in larger population-based studies, our current data suggest a potential gene-gene interaction among variant alleles of XRCC1, XRCC3, and ERCC4/XPF in breast cancer risk. Because BER, HRR, and NER play critical roles in repairing various types of DNA damage, combined genetic variants of these three repair pathways may contribute to a greater risk of breast cancer.
The functional significance of DNA repair SNPs and human cancer risk is currently the subject of intense study, and many challenges must be overcome. In this study, we demonstrate that amino acid substitution variants of XRCC1, XRCC3, and ERCC4/XPF genes, particularly in combination, are associated with susceptibility to breast cancer. However, we should note that the sample size of our study has limited power for assessing gene-gene interactions. Therefore, our findings must be interpreted with caution, and larger studies are warranted to further test multiple DNA repair genetic variants in breast cancer susceptibility.
Grant support: Supported by NIH/National Cancer Institute Grants CA73629 and CA91221 (to J. J. H.), CA81330 (to M. S. M.), and an American Cancer Society grant RPG-97-115-01 (to J. J. H.). Work performed at Lawrence Livermore National Laboratory was under the auspices of US Department of Energy Contract #W-7405-ENG-48 to the University of California.
The costs of publication of this article were defrayed in part by the payment of page charges. This article must therefore be hereby marked advertisement in accordance with 18 U.S.C. Section 1734 solely to indicate this fact.
Requests for reprints: Jennifer J. Hu, Department of Cancer Biology, Wake Forest University School of Medicine, Medical Center Boulevard, Winston-Salem, North Carolina 27157. Phone: (336) 713-7654; Fax: (336) 713-7661; E-mail: [email protected]
The abbreviations used are: IR, ionizing radiation; BER, base excision repair; CI, confidence interval; DSB, double-strand break; FH, family history; HWE, Hardy-Weinberg equilibrium; HRR, homologous recombination repair; NER, nucleotide excision repair; OR, odds ratio; SNP, single-nucleotide polymorphism; BMI, body mass index.
Demographic characteristics of study population
Characteristics . | Categories . | Cases (n = 253) . | Controls (n = 268) . | P a . |
---|---|---|---|---|
Age (yrs) | Mean ± SD | 59.12 ± 13.3 | 59.92 ± 12.3 | 0.47 |
≤50 | 77 (30%) | 75 (28%) | 0.69 | |
51–60 | 54 (21%) | 53 (20%) | ||
61–70 | 67 (27%) | 70 (26%) | ||
≥71 | 55 (22%) | 70 (26%) | ||
FH | None | 192 (76%) | 213 (79%) | 0.77 |
Mother or sister | 52 (20%) | 51 (19%) | ||
Mother and sister | 5 (2%) | 4 (2%) | ||
Missing | 4 (2%) | 0 (0%) | ||
Age at menarche (yrs) | ≤12 | 113 (45%) | 111 (41%) | 0.13 |
13–14 | 96 (38%) | 125 (47%) | ||
≥15 | 38 (15%) | 30 (11%) | ||
Missing | 6 (2%) | 2 (1%) | ||
Parity | Nulliparous | 37 (15%) | 39 (15%) | 0.92 |
≥1 | 212 (84%) | 229 (85%) | ||
Missing | 4 (1%) | 0 (0%) | ||
Age at first live birth (yrs) | ≤24 | 138 (55%) | 111 (41%) | 0.002 |
25–29 | 50 (20%) | 84 (31%) | ||
≥30 or Nulliparous | 59 (23%) | 73 (27%) | ||
Missing | 6 (2%) | 0 (0%) | ||
BMI (kg/m2) | Mean ± SD | 27.41 ± 5.56 | 26.20 ± 5.25 | 0.01 |
Characteristics . | Categories . | Cases (n = 253) . | Controls (n = 268) . | P a . |
---|---|---|---|---|
Age (yrs) | Mean ± SD | 59.12 ± 13.3 | 59.92 ± 12.3 | 0.47 |
≤50 | 77 (30%) | 75 (28%) | 0.69 | |
51–60 | 54 (21%) | 53 (20%) | ||
61–70 | 67 (27%) | 70 (26%) | ||
≥71 | 55 (22%) | 70 (26%) | ||
FH | None | 192 (76%) | 213 (79%) | 0.77 |
Mother or sister | 52 (20%) | 51 (19%) | ||
Mother and sister | 5 (2%) | 4 (2%) | ||
Missing | 4 (2%) | 0 (0%) | ||
Age at menarche (yrs) | ≤12 | 113 (45%) | 111 (41%) | 0.13 |
13–14 | 96 (38%) | 125 (47%) | ||
≥15 | 38 (15%) | 30 (11%) | ||
Missing | 6 (2%) | 2 (1%) | ||
Parity | Nulliparous | 37 (15%) | 39 (15%) | 0.92 |
≥1 | 212 (84%) | 229 (85%) | ||
Missing | 4 (1%) | 0 (0%) | ||
Age at first live birth (yrs) | ≤24 | 138 (55%) | 111 (41%) | 0.002 |
25–29 | 50 (20%) | 84 (31%) | ||
≥30 or Nulliparous | 59 (23%) | 73 (27%) | ||
Missing | 6 (2%) | 0 (0%) | ||
BMI (kg/m2) | Mean ± SD | 27.41 ± 5.56 | 26.20 ± 5.25 | 0.01 |
P associated with either Student’s t, χ2, or Fisher’s exact test.
DNA repair genotypes in breast cancer cases and controls
SNPs . | Subjects . | Genotypea . | . | . | P b . | WV vs. WW . | VV vs. WW . | WV/VV vs. WW . | VV vs. WV/WV . | ||
---|---|---|---|---|---|---|---|---|---|---|---|
. | . | WW . | WV . | VV . | . | OR (95% CI)c . | OR (95% CI)c . | OR (95% CI)c . | OR (95% CI)c . | ||
XRCC1 | Controls | 242 | 23 | 1 | Referent | Referent | Referent | Referent | |||
Arg194Trp | Cases | 211 | 31 | 4 | 0.14 | 1.47 (0.80–2.70) | NAd | 1.60 (0.89–2.87) | NA | ||
XRCC1 | Controls | 115 | 123 | 29 | Referent | Referent | Referent | Referent | |||
Arg399Gln | Cases | 99 | 122 | 30 | 0.69 | 1.02 (0.70–1.51) | 1.07 (0.58–1.96) | 1.03 (0.71–1.49) | 1.05 (0.59–1.87) | ||
XRCC3 | Controls | 104 | 129 | 35 | Referent | Referent | Referent | Referent | |||
Thr241Met | Cases | 96 | 105 | 51 | 0.07 | 0.85 (0.57–1.27) | 1.41 (0.83–2.42) | 0.98 (0.67–1.41) | 1.54 (0.94–2.52) | ||
ERCC4/XPF | Controls | 236 | 32 | 0 | Referent | Referent | Referent | Referent | |||
Arg415Gln | Cases | 217 | 29 | 7 | 0.02 | 0.96 (0.54–1.69) | NA | 1.23 (0.72–2.09) | NA |
SNPs . | Subjects . | Genotypea . | . | . | P b . | WV vs. WW . | VV vs. WW . | WV/VV vs. WW . | VV vs. WV/WV . | ||
---|---|---|---|---|---|---|---|---|---|---|---|
. | . | WW . | WV . | VV . | . | OR (95% CI)c . | OR (95% CI)c . | OR (95% CI)c . | OR (95% CI)c . | ||
XRCC1 | Controls | 242 | 23 | 1 | Referent | Referent | Referent | Referent | |||
Arg194Trp | Cases | 211 | 31 | 4 | 0.14 | 1.47 (0.80–2.70) | NAd | 1.60 (0.89–2.87) | NA | ||
XRCC1 | Controls | 115 | 123 | 29 | Referent | Referent | Referent | Referent | |||
Arg399Gln | Cases | 99 | 122 | 30 | 0.69 | 1.02 (0.70–1.51) | 1.07 (0.58–1.96) | 1.03 (0.71–1.49) | 1.05 (0.59–1.87) | ||
XRCC3 | Controls | 104 | 129 | 35 | Referent | Referent | Referent | Referent | |||
Thr241Met | Cases | 96 | 105 | 51 | 0.07 | 0.85 (0.57–1.27) | 1.41 (0.83–2.42) | 0.98 (0.67–1.41) | 1.54 (0.94–2.52) | ||
ERCC4/XPF | Controls | 236 | 32 | 0 | Referent | Referent | Referent | Referent | |||
Arg415Gln | Cases | 217 | 29 | 7 | 0.02 | 0.96 (0.54–1.69) | NA | 1.23 (0.72–2.09) | NA |
WW, wild-type/wild-type; WV, wild-type/variant; VV, variant/variant.
Fisher’s exact test for genotype distributions.
OR adjusted for age, FH, age at menarche, age at first live birth, and BMI using logistic regression.
NA, not applicable.
Number of DNA repair variant alleles and breast cancer risk
Total no. of variant allelesa . | Controls (n = 266) . | Cases (n = 246) . | Adjusted OR (95% CI)b . |
---|---|---|---|
0 | 87 (33%) | 67 (27%) | Referent |
1 | 114 (43%) | 95 (39%) | 1.04 (0.67–1.61) |
2 | 57 (21%) | 66 (27%) | 1.38 (0.83–2.29) |
3+ | 8 (3%) | 18 (7%) | 2.60 (1.03–6.59)c |
Total no. of variant allelesa . | Controls (n = 266) . | Cases (n = 246) . | Adjusted OR (95% CI)b . |
---|---|---|---|
0 | 87 (33%) | 67 (27%) | Referent |
1 | 114 (43%) | 95 (39%) | 1.04 (0.67–1.61) |
2 | 57 (21%) | 66 (27%) | 1.38 (0.83–2.29) |
3+ | 8 (3%) | 18 (7%) | 2.60 (1.03–6.59)c |
XRCC1 Arg194Trp, XRCC3 Thr241Met, and ERCC4/XPF Arg415Glngenotypes were included in the model.
OR adjusted for age, FH, age at menarche, age at first live birth, and BMI using logistic regression.
P = 0.04, test for linear trend.
Acknowledgments
We are grateful to the participants of the study. We also acknowledge the contributions of Shirley Cothren, Judy Lovelace, Nadine Shelton, Joel Anderson, Joseph Moore, the Breast Screening Center, and the Breast Care Center.