Common Genetic Variants and Risk for HPV Persistence and Progression to Cervical Cancer

Abstract

HPV infrequently persists and progresses to cervical cancer. We examined host genetic factors hypothesized to play a role in determining which subset of individuals infected with oncogenic human papillomavirus (HPV) have persistent infection and further develop cervical pre-cancer/cancer compared to the majority of infected individuals who will clear infection.

We evaluated 7140 tag single nucleotide polymorphisms (SNPs) from 305 candidate genes hypothesized to be involved in DNA repair, viral infection and cell entry in 416 cervical intraepithelial neoplasia 3 (CIN3)/cancer cases, 356 HPV persistent women (median: 25 months), and 425 random controls (RC) from the 10,049 women Guanacaste Costa Rica Natural History study. We used logistic regression to compute odds ratios and p-trend for CIN3/cancer and HPV persistence in relation to SNP genotypes and haplotypes (adjusted for age). We obtained pathway and gene-level summary of associations by computing the adaptive combination of p-values. Genes/regions statistically significantly associated with CIN3/cancer included the viral infection and cell entry genes 2′,5′ oligoadenylate synthetase gene 3 (OAS3), sulfatase 1 (SULF1), and interferon gamma (IFNG); the DNA repair genes deoxyuridine triphosphate (DUT), dosage suppressor of mck 1 homolog (DMC1), and general transcription factor IIH, polypeptide 3 (GTF2H4); and the EVER1 and EVER2 genes (p<0.01). From each region, the single most significant SNPs associated with CIN3/cancer were OAS3 rs12302655, SULF1 rs4737999, IFNG rs11177074, DUT rs3784621, DMC1 rs5757133, GTF2H4 rs2894054, EVER1/EVER2 rs9893818 (p-trends≤0.001). SNPs for OAS3, SULF1, DUT, and GTF2H4 were associated with HPV persistence whereas IFNG and EVER1/EVER2 SNPs were associated with progression to CIN3/cancer. We note that the associations observed were less than two-fold. We identified variations DNA repair and viral binding and cell entry genes associated with CIN3/cancer. Our results require replication but suggest that different genes may be responsible for modulating risk in the two critical transition steps important for cervical carcinogenesis: HPV persistence and disease progression.

Introduction

Persistent infection with one of approximately 15 types of human papillomavirus (HPV) is necessary for the development of cervical cancer and its immediate precursor, cervical intraepithelial neoplasia grade 3 (CIN3). However, HPV infection is not a sufficient cause of cervical cancer/CIN3 and HPV cofactors have been identified, including oral contraceptive use and smoking [1]. Familial aggregation studies and evaluation of inherited genetic variations further suggest that host genetic factors may also contribute to cervical cancer pathogenesis [2]. A number of studies have evaluated and implicated a role for human leukocyte antigens (HLA) [3], [4]. We previously reported the association between common variants in genes influencing DNA damage, notably, FANCA, associated with both HPV persistence and progression to CIN3/cancer. We also reported a variant in the innate immunity gene IRF3 associated with HPV persistence [5]. Here, we expand our evaluation of host genetic variations in DNA repair, viral infection and cell entry genes and risk for HPV persistence and cervical precancer/cancer.

We evaluated data on 7,140 candidate single nucleotide polymorphisms (SNP) in 305 candidate genes/regions (161 viral infection and cell entry and 144 DNA repair genes). All known DNA repair genes were included [6] and viral infection and cell entry genes were selected based on biological evidence of hypothesized association with cervical cancer, HPV, or other infections. All genes and their selected variants were evaluated for risk of HPV persistence and progression to CIN3/cancer within the population-based Guanacaste cohort in Costa Rica (genes and SNPs are annotated in Table S1). A unique aspect of our effort is the ability to separately evaluate genetic factors associated with the two known and critical transition states in the natural history of cervical cancer – (i) viral persistence and (ii) progression to pre-cancer/cancer.

Results

Pathway-Based Associations

We found the DNA repair pathway as a whole statistically significantly associated with CIN3/cancer (p = 0.0197) and with HPV persistence (p = 0.0472) but not progression (p = 0.7451) (Table 1). These associations appeared driven by genes involved in editing/processing nucleases, modulation of nucleotide pools, and nucleotide excision repair. The family of Fanconi anemia genes was also significantly associated with HPV persistence (p = 0.0326).

Table 1. Pathway-based tests for significance among DNA repair genes for associations with (i) cervical precancer/cancer, (ii) progression to cervical precancer/cancer, and (iii) HPV persistence.

DNA Repair Pathway	Genes	# genes	# SNPs	(i) CIN3/CA vs RC	(ii) CIN3/CA vs HPV persisters	(iii) HPV persisters vs RC
All genes		138	2985	0.0197	0.7451	0.0473
Base excision repair	UNG, SMUG1, MBD4, TDG, OGG1, MUTYH, NTHL1, MPG, NEIL1, NEIL2, APEX1, APEX2, LIG3, XRCC1, PNKP, PARP1, PARP2	17	363	0.1961	0.6703	0.1609
Chromatin Structure	H2AFX, CHAF1A	2	27	0.6365	0.0912	0.3588
DNA polymerases	POLB, POLG, POLD1, POLE, PCNA, REV3L, MAD2L2, REV1L, POLH, POLI, POLQ, POLK, POLL, POLM, POLN	14	289	0.2588	0.7481	0.6309
Direct reversal of damage	MGMT, ALKBH3	2	105	0.9515	0.9996	0.9975
Editing/processing nucleases	FEN1, TREX1, TREX2, EXO1, SPO11, FLJ35220	6	95	0.0096	0.1961	0.3546
Genes defective in diseases associated with sensitivity to DNA damaging agents	BLM, WRN, RECQL4, ATM	4	101	0.2465	0.2051	0.0732
Fanconi anemia	FANCA, FANCB, FANCC, FANCD2, FANCE, FANCF, FANCG, FANCL , FANCM, FANCN (PALB2), C19ORF40	10	222	0.6062	0.2230	0.0326
Homologous recombination	RAD51, RAD51C, RAD51L3, DMC1 , XRCC2, XRCC3, RAD52, RAD54L, RAD54B, BRCA1, BRCA2, SHFM1, RAD50, MRE11A, MUS81, EME1, EME2	17	364	0.1185	0.7500	0.2318
Mismatch excision repair	MSH2, MSH3, MSH6, MSH4, MSH5, PMS1, MLH1, PMS2, MLH3, PMS2L3	10	254	0.7061	0.1263	0.4253
Modulation of nucleotide pools	NUDT1, DUT , RRM2B.	3	51	0.0181	0.6242	0.2219
Non-homologous end-joining	XRCC5, PRKDC, LIG4, XRCC4, DCLRE1C	5	200	0.4068	0.7096	0.6697
Nucleotide excision repair	XPC, RAD23B, CETN2, RAD23A, XPA, RPA1, RPA2, RAP3, ERCC2, ERCC3, GTF2H1, GTF2H2, GTF2H3, GTF2H4 , GTF2H5, CDK7, CCNH, MNAT1, ERCC5, ERCC1, ERCC4, LIG1, ERCC6, XAB2, DDB1, DDB2, MMS19L	26	607	0.0438	0.7382	0.2982
Other genes with suspected DNA repair function	CDLRE1A, CDLRE1B, RPA4, APTX, NEIL3, RECQL, RECQL5, HEL308, RDM1	9	139	0.1382	0.3793	0.2542
Other conserved DNA damage response genes	ATR, RAD1, RAD9A, HUS1, RAD17, CHEK1, CHEK2, TP53, TREX1, PER1	9	127	0.8380	0.8285	0.4497
Rad6 pathway	UBE2A, UBE2B, RAD18, UBE2V2, UBE2N	5	54	0.6558	0.9324	0.8099

P values are based on the adaptive rank truncated product method.

Gene/Region-Based Associations

Table 2 shows results for 9 genes/regions associated with CIN3/cancer compared to random controls at p<0.01, ordered by their statistical significance. Six of the genes were considered notable with a FDR ≤0.2, including the DNA repair genes - GTF2H4, DUT, and DMC1 – and the viral infection and cell entry related genes - OAS3, SULF1, and IFNG. The association for GTF2H4 and SULF1 were also associated with HPV persistence (p = 0.005). Three regions were statistically significantly associated with progression to CIN3/cancer at p<0.05: TMC6 (EVER1), TMC8 (EVER2), and FLJ35220. All gene-based results are shown in Table S2.

Table 2. Significance levels (p values) for (i) cervical precancer/cancer, (ii) progression to cervical precancer/cancer, and (iii) HPV persistence, among gene regions with p<0.01 for an association with cervical precancer/cancer.

Gene	Chromosome	# SNPs	(i) CIN3/CA	(ii) CIN3/CA	(iii) HPV persistence+
			vs. RC	vs. HPV persistence	vs. RC
OAS3	12q24.2	36	0.0013*	0.2537	0.1354
GTF2H4	6p21.3	15	0.0018*	0.5355	0.0054
SULF1	8q13.3	77	0.0030*	0.6935	0.0056
DUT	15q15-q21.1	14	0.0038*	0.2399	0.0612
IFNG	12q14	10	0.0038*	0.0511	0.9136
DMC1	17q25.1	14	0.0038*	0.5865	0.4742
TMC8 (EVER2)	17q25.3	22	0.0081	0.0287	0.8114
TMC6 (EVER1)	17q25.3	26	0.0098	0.0309	0.8457
FLJ35220	17q25.3	18	0.0094	0.0232	0.0864

^*FDR p≤0.2.

Results for all gene-based tests are shown in Table S2.

SNP-Based Associations

Consistent with our gene/region-based analyses, we found evidence of an altered risk (approximately 2-fold) for CIN3/cancer for one or more SNPs in eight of the nine genes/regions with p-trends ≤0.001 (Table 3, SNPs ordered alphabetically by gene name). Of the four genes associated with HPV persistence, SNPs in DUT (rs3784621), GTF2H4 (rs2894054, rs6926723), OAS3 (rs12302655), and SULF1 (rs4737999, rs4284050, rs10108002) had significant p-trend<0.05. Of the genes/regions associated with progression to CIN3/cancer, SNPs in IFNG (rs11177074) and between EVER2/TMC8 and EVER1/TMC6 (rs9893818) were statistically significant at p<0.05. Odds ratios and 95% confidence intervals for these SNPs are shown in Table S3 (all data for all SNPs are shown in Table S4). We note that other SNPs associated with CIN3/cancer included those in the OAS1, OAS2, and POLN genes (Table 3). As for OAS3, the associations with OAS1 and OAS2 were significant for HPV persistence whereas POLN was associated with disease progression.

Table 3. Significance levels (p values) for (i) cervical precancer/cancer, (ii) progression to cervical precancer/cancer, and (iii) HPV persistence, among SNPs with p≤0.001 for an association with cervical precancer/cancer.

Gene	rs #	(i) CIN3/CA	(ii) CIN3/CA	(iii) HPV persistence
		vs. RC	vs. HPV persistence	Vs. RC
DMC1	RS5757133	0.0007	0.1590	0.1114
DUT	RS3784621	0.0004*	0.1280	0.0262
GTF2H4	RS2894054	0.0001*	0.8742	0.0002
GTF2H4	RS6926723	0.0004	0.6840	0.0034
IFNG	RS11177074	0.0003	0.0095	0.4011
OAS1	RS12307655	0.0005*	0.2790	0.0034
OAS2	RS718802	0.0001	0.1844	0.0057
OAS3	RS12302655	0.00008	0.1909	0.0025
POLN	RS17132382	0.0011	0.0103	0.5304
SULF1	RS4737999	0.0001*	0.8918	0.0020
SULF1	RS4284050	0.0007	0.4994	0.0020
SULF1	RS10108002	0.0010	0.5160	0.0181
TMC8,TMC6	RS9893818	0.0003	0.0019	0.8434

^*p<0.05 in oncogenic HPV+ restricted analyses.

SNP p values with FDR p<0.2 are denoted with astericks. Complete results for SNP-based results are shown in Supplemental Materials (Table S3 (SNPs listed in Table 2) and Table S4 (all)).

Haplotype Associations

Results from haplotype-based analyses (defined by blocks of linkage disequilibrium) were generally consistent with the gene/region- and SNP-based findings. Haplotypes statistically significantly associated with CIN3/cancer included SNPs implicated in SNP-based analysis (as shown in Table S5 for DUT, GTF2H4 and SULF1 where haplotype blocks could be constructed). No new regions of interest were identified in haplotype analysis using the sliding window approach of 3 SNPs (data not shown).

Discussion

In this population-based study, we found nine genes/regions associated with CIN3/cancer, 6 of which remained significant at a FDR≤0.2 – three DNA repair genes (GTF2H4, DUT, and DMC1) and three viral infection and cell entry related genes (OAS3, SULF1, and IFNG). A unique aspect of our study is the ability to separately evaluate associations with the two important transition steps in the natural history of cervical cancer – viral persistence and progression to precancer/cancer. Of the regions/genes found to be important, the association was primarily with HPV persistence for GTF2H4 and SULF1. IFNG and the epidermodysplasia verruciformis (EV)-associated genes (TMC6-EVER1 and TMC8-EVER2) were primarily associated with progression to CIN3/cancer. All top genes derived from the gene/region- and SNP-based analyses are annotated and briefly described in Table 4.

Table 4. Description of top-ranked genes.

Gene (Alias)	Chromosome	Gene Description*	Gene ontology**	Additional Comments	Selected References
DNA repair
DMC1	17q25.1 ?22q13.1	Dosage suppressor of mck1 homolog, meiosis-specific homologous recombination	Female gamete generation; meiosis; reciprocal meiotic recombination; spermatogenesis; ATP binding; DNA binding	Rad51 homolog, meiosis	(6)
DUT	15q15-q21.1	Deoxyuridine triphosphatase	DNA replication; nucleobase, nucleoside, nucleotide and nucleic acid metabolic process; dUTP disphosphatase activity	Modulation of nucleotide pools	(6)
FLJ35220 (ENDOV)	17q25.3	Hypothetical protein FLJ35220		Editing/processing nucleases; incision 3′ of hypoxanthine and uracil	(6)
GTF2H4	6p21.3	General transcription factor IIH, polypeptide 4	DNA repair; nucleotide-excision repair, DNA damage removal; RNA elongation from RNA polymerase II promoter	Nucleotide excision repair; core TFIIH subunit p52	(6)
POLN (POL4P)	4p16.2	Polymerase (DNA directed) nu	DNA-dependent DNA replication; DNA-directed DNA polymerase activity	DNA polymerase; DNA crosslink repair	(6)
HPV binding/immune-related genes
IFNG	12q14	Interferon, gamma	Cell cycle arrest; cell motion; signal tranduction	Cytokine with role in innate/adaptive immunity against viral/bacterial infections; role in tumor control	OMIM
OAS1	12q24.2	2′-5′-oligoadenylate synthetase 1	Nucleobase, nucleoside, nucleotide and nucleic acid metabolic process	Role in resistance to viral infection via degradation of viral and cellular RNAs and impairment of viral replication. Also implicated in control of cell growth, differentiation, and apoptosis.	OMIM
OAS2	12q24.2	2′-5′-oligoadenylate synthetase 2	Nucleobase, nucleoside, nucleotide and nucleic acid metabolic process	Resistance to viral infection (see OAS1)	OMIM
OAS3	12q24.2	2′-5′-oligoadenylate synthetase 3	Nucleobase, nucleoside, nucleotide and nucleic acid metabolic process	Resistance to viral infection (see OAS1)	OMIM
SULF1	8q13.3	Sulfatase 1	Heparin sulfate proteoglycan metabolic process; arylsulfatase activity	Coreceptor for heparin-binding growth factors and cytokines; involved in cell signaling	OMIM
TMC8 (EVER2)	17q25.3	Transmembrane channel-like 8		Epidermodysplasia verruciformis susceptibility gene	(20)
TMC6 (EVER1)	17q25.3	Transmembrane channel-like 6		Epidermodysplasia verruciformis susceptibility gene	(20)

^*As defined in NCBI Entrez Gene (http://www.ncbi.nlm.nih.gov/sites/entrez); **Gene Ontology annotation (http://www.geneontology.org/); OMIM: http://www.ncbi.nlm.nih.gov/sites/entrez; GeneCards: http://www.genecards.org; (1) Supplement to Wood RD, Mitchell M, Lindahl T Mutation Research 2005 (http://www.cgal.icnet.uk/DNA_Repair_Genes.html); (2) Orth G. Host defenses against human papillomaviruses: lessons from epidermodysplasia verruciformis. Curr Top Microbiol Immunol. 2008;321:59-83.

Results for our DNA repair pathway-based analyses were consistent with our individual SNP-based results. Specifically, we found that genes within nucleotide excision repair (which includes GTF2H4) and modulation of nucleotide pools (which includes DUT) to be associated with HPV persistence. The DNA repair family of editing/processing of nucleases was associated with progression to CIN3/cancer and though several genes were statistically significant, none were notable at FDR < 0.2. The association between the Fanconi Anemia family of genes with HPV persistence is also consistent with our previous analyses that reported FANCA variants associated with HPV persistence (5). There have been no reports of polymorphisms in GTF2H4, DUT or DMC with HPV persistence, cervical cancer, or any other cancer to date. However, GTF2H4 is located on chromosome 6p21.3 within the HLA region and is thus of note as a number of studies have investigated HLA Class II and I genes with cervical cancer and have consistently identified alleles (e.g., HLA-DRB*1301) associated with cervical cancer [4]. Whether the observed association between GTF2H4 variants and HPV persistence is due to its biological function and its capacity as a DNA repair gene or to potential linkage disequilibrium with HLA requires further evaluation.

Variants in two genes postulated to play a role in viral and HPV binding, OAS3 and SULF1, were also associated with HPV persistence in our population. OAS3 plays a role in resistance to viral infection via degradation of viral and cellular RNAs and impairment of viral replication. Specifically, the OAS family of genes (OAS1, OAS2, OAS3) is induced by interferon. When enzymatically active OAS are bound to viral RNA, RNase L is activated, resulting in the degradation of viral RNA [7]. Notably, OAS1 and OAS2 SNPs were also associated with HPV persistence in our population (Table 3). SULF1 (sulfatase 1) is involved in cell signaling and is a coreceptor for heparin-binding growth factors and cytokines. Sulfs potentially play a role in a cellular feed-back mechanism where they edit the sulfation of multiple heparin sulfate proteoglycans [8]. This is of particular interest as heparin sulfate proteoglycans are thought to be the primary attachment factor for HPV and treatment with heparin and heparin sulfate have inhibited infection of some HPV types [9].

Three genes were associated primarily with progression to CIN3/cancer including IFNG, a cytokine that plays a role in innate immunity against viral or bacterial infections. It also induces the OAS family of genes which leads to degradation of viral RNA. We also report an association between genes in EVER1/TMC6 and EVER2/TMC8 and a SNP that lies between the two genes with progression to CIN3/cancer. Mutations in either EVER1 or EVER2 genes are well-documented in the rare skin carcinoma, epidermodysplasia verruciformis (EV), which is characterized by infection with HPV5 [10]. That common polymorphisms within EVER1 and EVER2 are also associated with progression to CIN3/cancer may potentially suggest a larger role, though modest, for EVER1 and EVER2 genes in HPV susceptibility and subsequent risk for disease.

As described previously [5], study limitations may include potential survival bias as the supplemental cases identified in Guanacaste were retrospectively ascertained and DNA was not obtained for deceased cases. Another limitation is our inability to evaluate invasive cervical cancer separately. Future studies with larger numbers of cases will be needed to address whether specific genes are involved in the transition from in situ to invasive disease. Although we targeted a priori genes and used a FDR of <0.2 to determine which genes were notable, we cannot exclude the possibility of false positives (or false negatives). Importantly, because our population comprises Costa Ricans and genes were tagged based on Caucasian and Yoruban populations where data are available from HapMap, it is plausible that gene coverage in our Costa Rican population is incomplete. Study strengths include our population-based study design. This design approximates a case-cohort design since the proportion of women in the cohort with CIN3 or cancer is small. Another study strength is our ability to evaluate genes relevant for HPV persistence and genes relevant for disease progression. Further, our study had rigorous follow-up, HPV testing and pathology review for case definitions. Our tag-SNP approach also allowed for broader coverage of each a priori gene/region investigation, compared to prior candidate SNP-based genotyping approaches. Our evaluation of the DNA repair pathway was near complete based on most recent literature and allowed for pathway-based analyses. However, our viral binding and cell entry genes were not amenable to similar analyses. We acknowledge that our a priori approach sampled a small subset of genes in the genome and we therefore likely missed other important associations. Increased power and replication of our results are required and larger efforts in genome-wide association studies should shed additional light on genes and regions of significance for cervical cancer. Our study, however, remains the only one designed to delineate between associations with HPV persistence and progression to CIN3/cancer.

In summary, our results require replication but build upon our previous report of potential host genetic variants relevant for HPV persistence and those relevant for progression to CIN3/cancer. If replicated, additional studies to pinpoint the causal SNP(s) and determine their biological relevance should be pursued. Future efforts should include further dissection of long-term persistence that likely leads to progression compared to short-term persistence that is less likely to progress to CIN3/cancer. The role of host gene and HPV methylation and their role on causal genes should also be considered. These data are important for future research in evaluating the interplay between viral and host genetics in determining risk of HPV persistence and for progression to CIN3/cancer.

Methods

Study Population

The present study was nested within a population-based cohort study of women in Guanacaste, Costa Rica. Details of the cohort study methods [11], [12] and of the sub-population selected for genetic analyses [5] have been reported elsewhere. Briefly, the Guanacaste HPV natural history study is a population-based cohort of 10,049 women recruited over an 18-month period in 1993–94 and followed for seven years. For cohort participants, cervical cells were available for HPV DNA testing as previously described [11], [12], and buffy coat specimens were available for host gene polymorphism testing.

Women selected for the genetic study included: (i) all women in the cohort histologically confirmed with prevalent or incident CIN3 or cancer (n = 184); (ii) all women in the cohort with evidence of HPV persistence, defined as women positive for the same HPV type at two consecutive visits (n = 432) (median length of persistence: 25 months); and (iii) a random selection of controls from the cohort (n = 492) [5]. As described previously [5], we also included 331 supplemental CIN3 and cancer cases from Guanacaste who were not participants in the natural history study but were independently diagnosed with CIN3 or cancer during the same period in which our natural history study was conducted. We note that these supplemental cases were slightly older because of the larger proportion of cancers compared to our cohort-based cases where there was a higher proportion of CIN3. Allele frequencies were comparable between our cohort and supplemental cases, justifying the combining of the two groups for genetic analyses (5).

Ethics Statement

The study was approved by both the US NCI and Costa Rica Institutional Review Boards and all subjects signed informed consent.

Laboratory Methods

DNA extraction

DNA was extracted from buffy coats with PureGene purification kits/Autopure protocol (Gentra Systems) at SeraCare (Frederick, MD). For the supplemental cases the DNA extraction was done at the University of Costa Rica using the same kit/protocol.

HPV testing

PCR-based HPV DNA testing with L1 MY09/MY11 consensus primer methods [11], [13], [14] was conducted on cervical cells stored in standard transport media (Qiagen, Germantown, MD) from the natural history study only. Because cervical cells were not obtained from the supplemental cases, HPV results are not available for these women. For purposes of HPV-restricted analyses, supplemental precancer/cancer cases are presumed to be HPV-positive due to the present knowledge that oncogenic HPV is an established and necessary risk factor for cervical precancer/cancer.

Host genotyping

Genotyping of tag SNPs from 305 candidate genes/regions (Genes and SNPs annotated in Table S1) hypothesized to be involved in cervical cancer progession or HPV persistence was conducted at the NCI Core Genotyping Facility (Advanced Technology Center, Gaithersburg, MD; http://snp500cancer.nci.nih.gov) [15] using a custom-designed iSelect Infinium assay (Illumina, www.illumina.com). The Infinium included a total of 27,904 tag SNPs, of which our candidate genes/regions represented 7,765 SNPs. Tag SNPs for the 305 candidate genes were chosen from the designable set of common SNPs (minor allele frequency (MAF)>5%) genotyped in the Caucasian (CEU) and Yoruban (YRI) population sample of the HapMap Project (Data Release 20/Phase II, NCBI Build 36.1 assembly, dbSNPb126) using the software Tagzilla (http://tagzilla.nci.nih.gov/), which implements a tagging algorithm based on the pairwise binning method of Carlson et al. [16]. Because there is no Costa Rican population in the HapMap Project for which we could select SNPs, we included tagging for the YRI in addition to the CEU population to improve our probability of achieving gene coverage in our population. For each original target gene, SNPs within the region spanning 20 kb 5′ of the start of transcription (exon 1) to 10 kb 3′ of the end of the last exon were grouped using a binning threshold of r²>0.8 to define a gene/region. When there were multiple transcripts available for genes, only the primary transcript was assessed.

Quality control (QC)

Tag SNPs that failed manufacturing (ordered but did not convert), failed validation (no amplification or clustering) and assays that had less than 80% completion or 80% concordance with the 90 Hapmap CEU samples used for validation were excluded (n = 104). SNPs with low completion rate (<90% of samples) were further excluded (N = 138). SNPs with QC discordance among our 100 QC duplicates and among HapMap samples <98% were excluded (n = 383). We also excluded samples with a low completion rate (<90%) (N = 7). Hardy–Weinberg equilibrium was evaluated among controls. SNPs showing evidence of deviation from Hardy–Weinberg proportions (n = 49, p<0.0001) are denoted in Table S1. Though our QC data did not suggest any obvious genotyping error and we present their results, we note caution in interpretation of these select results. Of the 7,765 a priori SNPs, 7,140 SNPs were included in our present analysis.

Final analytic population

We evaluated a total of 416 women diagnosed with CIN3 or cancer, 356 women with HPV persistent infection, and 425 random controls for whom validated genotyping results were obtained.

Statistical Analysis

Pathway- and gene/region-based analyses

We obtained pathway- and gene/region-based summary of associations using the adaptive combination of p-values [17], [18], which combines gene-level association evidence through adaptive rank truncated product method. To account for multiple comparisons, we applied the false discovery rate (FDR) method of Benjamini and Hochberg [19]. Pathway-based analyses were conducted for DNA repair genes; they were not conducted for viral infection and cell entry genes as only select genes were targeted for evaluation and together do not fully represent a pathway.

SNP-based associations

We calculated odds ratios (OR) and 95% confidence intervals (95% CI) for each genotype with each disease outcome, using the homozygous wild type (WT) genotype as the referent group. We first compared CIN3/cancer cases to random controls. We further evaluated whether the statistically significant associations for CIN3/cancer were consistent for HPV persistence and/or disease progression with the following respective comparisons: (i) HPV persisters compared to random controls and (ii) CIN3/cancer cases compared to HPV persisters.

We conducted both crude and analyses adjusted for age (<30, 30–49, 50+ years). For each outcome, we calculated the P _trend based on the three-level ordinal variable (0, 1, and 2) of homozygote WT, heterozygote, and homozygote variant in a logistic regression model. For evaluating associations with HPV persistence, we also conducted analyses where HPV persistence and controls were restricted to any oncogenic-HPV infection (16, 18, 31, 33, 35, 39, 45, 51, 52, 56, 58, 59, 68). All logistic regression models were unconditional and conducted using SAS version 9.1 (SAS Institute, Cary, NC).

Haplotype analyses

We conducted haplotype analyses using two methods. First, we evaluated risk of cancer, progression and HPV persistence associated with haplotypes defined by SNPs within a sliding window of three loci across a gene (Haplo Stats, version 1.2.1, haplo.score.slide, http://mayoresearch.mayo.edu/mayo/research/schaid_lab/software.cfm) on all genes. A global score statistic was used to summarize the evidence of association of disease with the haplotypes for each window. Second, we visualized haplotype structures for genes where p<0.01 for gene/region-based analysis using Haploview, version 3.11 [20] based on measures of pairwise linkage disequilibrium between SNPs. For blocks of linkage disequilibrium, we obtained ORs and 95% CIs for the underlying haplotypes under the assumption of an additive model (haplo.glm, minimum haplotype frequency 1%). All haplotype analyses were adjusted for age.

Acknowledgments

We sincerely thank Drs. Chris Buck and Patricia Day for their scientific contributions in suggesting candidate genes for evaluation with regard to their relevance in HPV binding. We are grateful to Sabrina Chen from the Information Management Services, Inc. (IMS) for data management and programming support. We are grateful to Amy Hutchinson and Belynda Hicks for their management of this genotyping effort at the NCI Core Genotyping Facility and for their scientific contributions to our research efforts. Results were presented in part at the 25^th International Papillomavirus Conference, Malmo, Sweden, May 2009.

Supporting Information

Table S1

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Table S2

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Table S3

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Table S4

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Table S5

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