Runs of homozygosity and testicular cancer risk.

BACKGROUND: Testicular germ cell tumour (TGCT) is highly heritable but > 50% of the genetic risk remains unexplained. Epidemiological observation of greater relative risk to brothers of men with TGCT compared to sons has long alluded to recessively acting TGCT genetic susceptibility factors, but to date none have been reported. Runs of homozygosity (RoH) are a signature indicating underlying recessively acting alleles and have been associated with increased risk of other cancer types. OBJECTIVE: To examine whether RoH are associated with TGCT risk. METHODS: We performed a genome-wide RoH analysis using GWAS data from 3206 TGCT cases and 7422 controls uniformly genotyped using the OncoArray platform. RESULTS: Global measures of homozygosity were not significantly different between cases and controls, and the frequency of individual consensus RoH was not significantly different between cases and controls, after correction for multiple testing. RoH at three regions, 11p13-11p14.3, 5q14.1-5q22.3 and 13q14.11-13q.14.13, were, however, nominally statistically significant at p < 0.01. Intriguingly, RoH200 at 11p13-11p14.3 encompasses Wilms tumour 1 (WT1), a recognized cancer susceptibility gene with roles in sex determination and developmental transcriptional regulation, processes repeatedly implicated in TGCT aetiology. DISCUSSION AND CONCLUSION: Overall, our data do not support a major role in the risk of TGCT for recessively acting alleles acting through homozygosity, as measured by RoH in outbred populations of cases and controls.

Radiogenomics in the Era of Advanced Radiotherapy.

Most radiogenomics studies investigate how genetic variation can help to explain the differences in early and late radiotherapy toxicity between individuals. The field of radiogenomics in photon beam therapy has grown rapidly in recent years, carving out a unique translational discipline, which has progressed from candidate gene studies to larger scale genome-wide association studies, meta-analyses and now prospective validation studies. Genotyping is increasingly sophisticated and affordable, and whole-genome sequencing may soon become readily available as a diagnostic tool in the clinic. The ultimate aim of radiogenomics research is to tailor treatment to the individual with a test based on a combination of treatment, clinical and genetic factors. This personalisation would allow the greatest tumour control while minimising acute and long-term toxicity. Here we discuss the evolution of the field of radiogenomics with reference to the most recent developments and challenges.

Incorporating Genetic Biomarkers into Predictive Models of Normal Tissue Toxicity.

There is considerable variation in the level of toxicity patients experience for a given dose of radiotherapy, which is associated with differences in underlying individual normal tissue radiosensitivity. A number of syndromes have a large effect on clinical radiosensitivity, but these are rare. Among non-syndromic patients, variation is less extreme, but equivalent to a ±20% variation in dose. Thus, if individual normal tissue radiosensitivity could be measured, it should be possible to optimise schedules for individual patients. Early investigations of in vitro cellular radiosensitivity supported a link with tissue response, but individual studies were equivocal. A lymphocyte apoptosis assay has potential, and is currently under prospective validation. The investigation of underlying genetic variation also has potential. Although early candidate gene studies were inconclusive, more recent genome-wide association studies are revealing definite associations between genotype and toxicity and highlighting the potential for future genetic testing. Genetic testing and individualised dose prescriptions could reduce toxicity in radiosensitive patients, and permit isotoxic dose escalation to increase local control in radioresistant individuals. The approach could improve outcomes for half the patients requiring radical radiotherapy. As a number of patient- and treatment-related factors also affect the risk of toxicity for a given dose, genetic testing data will need to be incorporated into models that combine patient, treatment and genetic data.

FGF receptor genes and breast cancer susceptibility: results from the Breast Cancer Association Consortium.

BACKGROUND: Breast cancer is one of the most common malignancies in women. Genome-wide association studies have identified FGFR2 as a breast cancer susceptibility gene. Common variation in other fibroblast growth factor (FGF) receptors might also modify risk. We tested this hypothesis by studying genotyped single-nucleotide polymorphisms (SNPs) and imputed SNPs in FGFR1, FGFR3, FGFR4 and FGFRL1 in the Breast Cancer Association Consortium. METHODS: Data were combined from 49 studies, including 53 835 cases and 50 156 controls, of which 89 050 (46 450 cases and 42 600 controls) were of European ancestry, 12 893 (6269 cases and 6624 controls) of Asian and 2048 (1116 cases and 932 controls) of African ancestry. Associations with risk of breast cancer, overall and by disease sub-type, were assessed using unconditional logistic regression. RESULTS: Little evidence of association with breast cancer risk was observed for SNPs in the FGF receptor genes. The strongest evidence in European women was for rs743682 in FGFR3; the estimated per-allele odds ratio was 1.05 (95% confidence interval=1.02-1.09, P=0.0020), which is substantially lower than that observed for SNPs in FGFR2. CONCLUSION: Our results suggest that common variants in the other FGF receptors are not associated with risk of breast cancer to the degree observed for FGFR2.

Work readiness of graduate health professionals.

BACKGROUND AND AIM: The current exploratory study investigated work readiness among graduate health professionals. DESIGN AND PARTICIPANTS: A critical incident technique was used to elicit perceptions regarding: strategies and skills that constitute work readiness among health professionals and the work readiness factors that help or hinder health graduates' transition and integration into the workplace. Fifteen medical graduates, 26 nursing graduates and five organisational representatives from a regional hospital in Victoria, Australia participated. METHOD: Data were collected via qualitative interviews. RESULTS: Participants discussed a total of 92 critical incidents; 52 related to helping and 40 to hindering work readiness factors that impacted graduates' transition and integration experiences. A follow-up thematic analysis indentified four critical work readiness factors: social intelligence, organisational acumen, work competence and personal characteristics. While graduates and organisational representatives considered each factor important, some differences between the groups emerged. Organisational representative's perceived social intelligence and clinical skills critical graduate competencies, yet graduates were unprepared in these areas. CONCLUSION: The identified work readiness factors were consistent with past research and warrant further investigation of work readiness among a larger group of graduate health professionals in a range of contexts.

A replicated association between polymorphisms near TNFα and risk for adverse reactions to radiotherapy.

BACKGROUND: Response to radiotherapy varies between individuals both in terms of efficacy and adverse reactions. Finding genetic determinants of radiation response would allow the tailoring of the treatment, either by altering the radiation dose or by surgery. Despite a growing number of studies in radiogenomics, there are no well-replicated genetic association results. METHODS: We carried out a candidate gene association study and replicated the result using three additional large cohorts, a total of 2036 women scored for adverse reactions to radiotherapy for breast cancer. RESULTS: Genetic variation near the tumour necrosis factor alpha gene is shown to affect several clinical endpoints including breast induration, telangiectasia and overall toxicity. In the combined analysis homozygosity for the rare allele increases overall toxicity (P=0.001) and chance of being in the upper quartile of risk with odds ratio of 2.46 (95% confidence interval 1.52-3.98). CONCLUSION: We have identified that alleles of the class III major histocompatibility complex region associate with overall radiotherapy toxicity in breast cancer patients by using internal replication through a staged design. This is the first well-replicated report of a genetic predictor for radiotherapy reactions.

The use of scoring rubrics to determine clinical performance in the operating suite.

UNLABELLED: This research evolved out of the need to examine the validity and inter-rater reliability of a set of performance-based scoring rubrics designed to measure competencies within the operating suite. METHOD: Both holistic and analytical rubrics were developed aligned to the ACORN Standard [Australian College of Operating Room Nurses Standard NR4, 2004. ACORN Competency Standards for Perioperative Nurses: Standard NR4: The Instrument Nurse in the Perioperative Environment. Australian College of Operating Room Nurses Ltd, Adelaide] and underpinned by the Dreyfus model (1981). Three video clips that captured varying performance of nurses performing as instrument nurses in the operating suite were recorded and used as prompts by expert raters, who judged the performance using the rubrics. RESULTS: The study found that the holistic rubrics led to more consistent judgments than the analytical rubrics, yet the latter provided more diagnostic information for intervention purposes. Despite less consistency, the Analytical Observation Form had sufficient construct validity to satisfy the requirements of criterion referencing as determined by the Item Separation Index (Rasch, 1960), including high internal consistency and greater inter-rater reliability when average ratings were used. CONCLUSION: The study was an empirical investigation of the use of concomitant Analytical and Holistic Rubrics to determine various levels of performance in the operating suite including inter-rater reliability. The methodology chosen was theoretically sound and sufficiently flexible to be used to develop other competencies within the operating suite.

Common variants in mismatch repair genes and risk of colorectal cancer.

BACKGROUND AND AIMS: The mismatch repair (MMR) genes are in charge of maintaining genomic integrity. Mutations in the MMR genes are at the origin of a familial form of colorectal cancer (CRC). This syndrome accounts for only a small proportion of the excess familial risk of CRC. The characteristics of the alleles that account for the remainder of cases are unknown. To assess the putative associations between common variants in MMR genes and CRC, we performed a genetic case-control study using a single-nucleotide polymorphism (SNP) tagging approach. PATIENTS AND METHODS: A total of 2299 cases and 2284 unrelated controls were genotyped for 68 tagging SNPs in seven MMR genes (MLH1, MLH3, MSH2, MSH3, MSH6, PMS1 and PMS2). Genotype frequencies were measured in cases and controls and analysed using univariate analysis. Haplotypes were constructed and analysed using logistic regression. We also carried out a two-locus interaction analysis and a global test analysis. RESULTS: Genotype frequencies were found to be marginally different in cases and controls for MSH3 rs26279 with a rare homozygote OR = 1.31 [95% confidence interval (CI) 1.05 to 1.62], p(trend) = 0.04. We found a rare MLH1 (frequency <5%) haplotype, increasing the risk of colorectal cancer: (OR = 9.76; 95% CI, 1.25 to 76.29; p = 0.03). The two-locus interaction analysis has exhibited signs of interaction between SNPs located in genes MSH6 and MSH2. Global testing has showed no evidence of interaction. CONCLUSION: It is unlikely that common variants in MMR genes contribute significantly to colorectal cancer.

Multi-factor dimensionality reduction applied to a large prospective investigation on gene-gene and gene-environment interactions.

It is becoming increasingly evident that single-locus effects cannot explain complex multifactorial human diseases like cancer. We applied the multi-factor dimensionality reduction (MDR) method to a large cohort study on gene-environment and gene-gene interactions. The study (case-control nested in the EPIC cohort) was established to investigate molecular changes and genetic susceptibility in relation to air pollution and environmental tobacco smoke (ETS) in non-smokers. We have analyzed 757 controls and 409 cases with bladder cancer (n=124), lung cancer (n=116) and myeloid leukemia (n=169). Thirty-six gene variants (DNA repair and metabolic genes) and three environmental exposure variables (measures of air pollution and ETS at home and at work) were analyzed. Interactions were assessed by prediction error percentage and cross-validation consistency (CVC) frequency. For lung cancer, the best model was given by a significant gene-environment association between the base excision repair (BER) XRCC1-Arg399Gln polymorphism, the double-strand break repair (DSBR) BRCA2-Asn372His polymorphism and the exposure variable 'distance from heavy traffic road', an indirect and robust indicator of air pollution (mean prediction error of 26%, P<0.001, mean CVC of 6.60, P=0.02). For bladder cancer, we found a significant 4-loci association between the BER APE1-Asp148Glu polymorphism, the DSBR RAD52-3'-untranslated region (3'-UTR) polymorphism and the metabolic gene polymorphisms COMT-Val158Met and MTHFR-677C>T (mean prediction error of 22%, P<0.001, mean CVC consistency of 7.40, P<0.037). For leukemia, a 3-loci model including RAD52-2259C>T, MnSOD-Ala9Val and CYP1A1-Ile462Val had a minimum prediction error of 31% (P<0.001) and a maximum CVC of 4.40 (P=0.086). The MDR method seems promising, because it provides a limited number of statistically stable interactions; however, the biological interpretation remains to be understood.

Interactions between genes involved in the antioxidant defence system and breast cancer risk.

The aim of the study is to examine the association between multilocus genotypes across 10 genes encoding proteins in the antioxidant defence system and breast cancer. The 10 genes are SOD1, SOD2, GPX1, GPX4, GSR, CAT, TXN, TXN2, TXNRD1 and TXNRD2. In all, 2271 cases and 2280 controls were used to examine gene-gene interactions between 52 single nucleotide polymorphisms (SNPs) that are hypothesised to tag all common variants in the 10 genes. The statistical analysis is based on three methods: unconditional logistic regression, multifactor dimensionality reduction and hierarchical cluster analysis. We examined all two- and three-way combinations with unconditional logistic regression and multifactor dimensionality reduction, and used a global approach with all SNPs in the hierarchical cluster analysis. Single-locus studies of an association of genetic variants in the antioxidant defence genes and breast cancer have been contradictory and inconclusive. It is the first time, to our knowledge, the association between multilocus genotypes across genes coding for antioxidant defence enzymes and breast cancer is investigated. We found no evidence of an association with breast cancer with our multilocus approach. The search for two-way interactions gave experiment-wise significance levels of P=0.24 (TXN [t2715c] and TXNRD2 [g23524a]) and P=0.58 (GSR [c39396t] and TXNRD2 [a442g]), for the unconditional logistic regression and multifactor dimensionality reduction, respectively. The experiment-wise significance levels for the three-way interactions were P=0.94 (GPX4 [t2572c], TXN [t2715c] and TXNRD2 [g23524a]) and P=0.29 (GSR [c39396t], TXN [t2715c] and TXNRD2 [a442g]) for the unconditional logistic regression and multifactor dimensionality reduction, respectively. In the hierarchical cluster analysis neither the average across four rounds with replacement of missing values at random (P=0.12) nor a fifth round with more balanced proportion of missing values between cases and controls (P=0.17) was significant.

Single-nucleotide polymorphisms in the RB1 gene and association with breast cancer in the British population.

A substantial proportion of the familial risk of breast cancer may be attributable to genetic variants each contributing a small effect. pRb controls the cell cycle and polymorphisms within it are candidates for such low penetrance susceptibility alleles, since the gene has been implicated in several human tumours, particularly breast cancer. The purpose of this study was to determine whether common variants in the RB1 gene are associated with breast cancer risk. We assessed 15 tagging single-nucleotide polymorphisms (SNPs) using a case-control study design (n< or = 4474 cases and n < or = 4560 controls). A difference in genotype frequencies was found between cases and controls for rs2854344 in intron 17 (P-trend = 0.007) and rs198580 in intron 19 (P-trend = 0.018). Carrying the minor allele of these SNPs appears to confer a protective effect on breast cancer risk (odd ratio (OR) = 0.86 (0.76-0.96) for rs2854344 and OR = 0.80 (0.66-0.96) for rs198580). However, after adjusting for multiple testing these associations were borderline with an adjusted P-trend = 0.068 for the most significant SNP (rs2854344). The RB1 gene is not known to contain any coding SNPs with allele frequencies > or = 5% but several intronic variants are in perfect linkage disequilibrium with the associated SNPs. Replication studies are needed to confirm the associations with breast cancer.

DNA repair polymorphisms and cancer risk in non-smokers in a cohort study.

Environmental carcinogens contained in air pollution, such as polycyclic aromatic hydrocarbons, aromatic amines or N-nitroso compounds, predominantly form DNA adducts but can also generate interstrand cross-links and reactive oxygen species. If unrepaired, such lesions increase the risk of somatic mutations and cancer. Our study investigated the relationships between 22 polymorphisms (and their haplotypes) in 16 DNA repair genes belonging to different repair pathways in 1094 controls and 567 cancer cases (bladder cancer, 131; lung cancer, 134; oral-pharyngeal cancer, 41; laryngeal cancer, 47; leukaemia, 179; death from emphysema and chronic obstructive pulmonary disease, 84). The design was a case-control study nested within a prospective investigation. Among the many comparisons, few polymorphisms were associated with the diseases at the univariate analysis: XRCC1-399 Gln/Gln variant homozygotes [odds ratios (OR) = 2.20, 95% confidence intervals (CI) = 1.16-4.17] and XRCC3-241 Met/Met homozygotes (OR = 0.51, 95% CI = 0.27-0.96) and leukaemia. The recessive model in the stepwise multivariate analysis revealed a possible protective effect of XRCC1-399Gln/Gln in lung cancer (OR = 0.22, 95% CI = 0.05-0.98), and confirmed an opposite effect (OR = 2.47, 95% CI = 1.02-6.02) in the leukaemia group. Our results also suggest that the XPD/ERCC1-GAT haplotype may modulate leukaemia (OR = 1.28, 95% CI = 1.02-1.61), bladder cancer (OR = 1.38, 95% CI = 1.06-1.79) and possibly other cancer risks. Further investigations of the combined effects of polymorphisms within these DNA repair genes, smoking and other risk factors may help to clarify the influence of genetic variation in the carcinogenic process.

A candidate gene approach to searching for low-penetrance breast and prostate cancer genes.

Most cases of breast and prostate cancer are not associated with mutations in known high-penetrance genes, indicating the involvement of multiple low-penetrance risk alleles. Studies that have attempted to identify these genes have met with limited success. The National Cancer Institute Breast and Prostate Cancer Cohort Consortium--a pooled analysis of multiple large cohort studies with a total of more than 5,000 cases of breast cancer and 8,000 cases of prostate cancer--was therefore initiated. The goal of this consortium is to characterize variations in approximately 50 genes that mediate two pathways that are associated with these cancers--the steroid-hormone metabolism pathway and the insulin-like growth factor signalling pathway--and to associate these variations with cancer risk.

Common polymorphisms in checkpoint kinase 2 are not associated with breast cancer risk.

A substantial proportion of the familial risk of breast cancer may be attributable to genetic variants each contributing a small effect. Polymorphisms in DNA repair genes are good candidates for such low penetrance breast cancer susceptibility alleles. Checkpoint kinase 2 (CHEK2) is a kinase in which the yeast counterpart regulates a cell cycle checkpoint and causes cells to arrest proliferation after DNA damage. A rare, protein truncating mutation in the CHEK2 gene has recently been shown to confer a modest risk of breast cancer. The aim of this study was to determine whether common polymorphic variants in CHEK2 are associated with an increase in breast cancer risk. We assessed two variants in CHEK2 using a case control study design (n = 1786 cases and 1828 controls). No differences in genotype frequencies were found between cases and control for either the IVS1 + 38insa or the a1013g polymorphisms (P = 0.3 and 0.2 respectively), and no genotype-specific risk was significantly different from unity. The haplotype frequency distribution in cases and controls were also similar (P = 0.3). We conclude that the CHEK2 polymorphisms IVS + 1a and a1013g do not confer an increased risk of breast cancer. It is also unlikely that other, as yet unidentified, common polymorphisms that affect risk are present in the gene in the British population.

Sampling distribution of summary linkage disequilibrium measures.

The design of association studies is critically dependent upon the extent of linkage disequilibrium (LD) across different genomic regions, often summarised in terms of the mean absolute value of summary linkage disequilibrium measures. The two most commonly used measures are D' for estimating the magnitude or extent of LD, and Delta which is directly proportional to the power of LD mapping. We studied the sampling distribution of the mean of /D'/ and /Delta/ statistics for varying sample size and major allele frequencies. When the sample size is small or one allele frequency is extreme, estimates of the magnitude of association based on the mean of /D'/ can be substantially inflated. This inflation is more marked when the haplotype frequencies have been inferred from genotype counts. The net effect of this means that smaller studies will tend to show higher levels of LD. The magnitude of this inflation can be reduced by use of a bootstrap correction, and by avoiding using markers with extreme allele frequencies. In contrast, the /Delta/ statistic is much less affected by sample size and high major allele frequencies. These effects are illustrated with real data on 36 SNPs typed in an Ashkenasi Jewish population.

Polymorphisms in CYP1A1 and smoking: no association with breast cancer risk.

Several studies have investigated polymorphisms in CYP1A1 and breast cancer risk with inconsistent results. We have carried out a population based case-control study of the Thr461Asn and Ile462Val polymorphisms in CYP1A1 to clarify their importance in determining breast cancer susceptibility. A total of 1873 cases and 712 controls were genotyped for Thr461Asn and 1948 cases and 1355 controls were genotyped for Ile462Val. We have also investigated a putative interaction between smoking and CYP1A1 genotype and breast cancer risk using a case only study design. The genotype distribution of Thr461Asp in controls was close to that expected under Hardy-Weinberg equilibrium (HWE). We detected no significant differences in genotype frequencies between breast cancer cases and controls (P = 0.68). Compared with the Thr/Thr homozygotes there was no significant risk for either the Thr/Asp heterozygote [OR = 1.1 (95% CI 0.8-1.4)] or the Asp/Asp homozygote [OR = 0.4 (0.02-6.1)]. The genotype distribution of Ile462Val in controls was also close to that expected under HWE with no significant differences between breast cancer cases and the controls (P = 0.44). No significant risk was found for either the Ile/Val heterozygote [OR = 0.8 (0.6-1.1)] or the Val/Val homozygote [OR = 2.7 (0.3-24)] compared with the Ile/Ile homozygotes. Furthermore, subgroup analyses revealed no effect of age or menopausal status on genotypic risks, and we found no evidence for an interaction between genotype and smoking habit or alcohol consumption and susceptibility to breast cancer. We combined our data for the Ile462Val polymorphism with those from four other published studies, but even with >5000 subjects, none of the genotype-associated risks achieved statistical significance, and there was no consistent pattern to the risks associated with increasing Val allele dosage [Ile/Val OR = 0.9 (0.7-1.1), Val/Val OR = 2.3 (0.4-12), and Val carrier OR = 1.0 (0.9-1.1)].

A common variant in BRCA2 is associated with both breast cancer risk and prenatal viability.

Inherited mutations in the gene BRCA2 predispose carriers to early onset breast cancer, but such mutations account for fewer than 2% of all cases in East Anglia. It is likely that low penetrance alleles explain the greater part of inherited susceptibility to breast cancer; polymorphic variants in strongly predisposing genes, such as BRCA2, are candidates for this role. BRCA2 is thought to be involved in DNA double strand break-repair. Few mice in which Brca2 is truncated survive to birth; of those that do, most are male, smaller than their normal littermates and have high cancer incidence. Here we show that a common human polymorphism (N372H) in exon 10 of BRCA2 confers an increased risk of breast cancer: the HH homozygotes have a 1.31-fold (95% CI, 1.07-1.61) greater risk than the NN group. Moreover, in normal female controls of all ages there is a significant deficiency of homozygotes compared with that expected from Hardy-Weinberg equilibrium, whereas in males there is an excess of homozygotes: the HH group has an estimated fitness of 0.82 in females and 1.38 in males. Therefore, this variant of BRCA2 appears also to affect fetal survival in a sex-dependent manner.

The extent of linkage disequilibrium in four populations with distinct demographic histories.

The design and feasibility of whole-genome-association studies are critically dependent on the extent of linkage disequilibrium (LD) between markers. Although there has been extensive theoretical discussion of this, few empirical data exist. The authors have determined the extent of LD among 38 biallelic markers with minor allele frequencies >.1, since these are most comparable to the common disease-susceptibility polymorphisms that association studies aim to detect. The markers come from three chromosomal regions-1,335 kb on chromosome 13q12-13, 380 kb on chromosome 19q13.2, and 120 kb on chromosome 22q13.3-which have been extensively mapped. These markers were examined in approximately 1,600 individuals from four populations, all of European origin but with different demographic histories; Afrikaners, Ashkenazim, Finns, and East Anglian British. There are few differences, either in allele frequencies or in LD, among the populations studied. A similar inverse relationship was found between LD and distance in each genomic region and in each population. Mean D' is.68 for marker pairs <5 kb apart and is.24 for pairs separated by 10-20 kb, and the level of LD is not different from that seen in unlinked marker pairs separated by >500 kb. However, only 50% of marker pairs at distances <5 kb display sufficient LD (delta>.3) to be useful in association studies. Results of the present study, if representative of the whole genome, suggest that a whole-genome scan searching for common disease-susceptibility alleles would require markers spaced < or = 5 kb apart.