Assessing biases of information contained in pedigrees for the classification of BRCA-genetic variants: a study arising from the ENIGMA analytical working group.

PURPOSE: One way of evaluating family history (FH) for classifying BRCA1/2 variants of uncertain clinical significance (VUS) is to assess the "BRCA-ness" of a pedigree by comparing it to reference populations. The aim of this study was to assess if prediction of BRCA pathogenic variant (mutation) status based on pedigree information differed due to changes in FH since intake, both in families with a pathogenic variant (BRCAm) and in families with wild-type (BRCAwt). PATIENTS AND METHODS: We compared the BRCA1/2 pathogenic variant detection probabilities between intake and most recent pedigree for BRCAm families (n = 64) and BRCAwt (n = 118) using the BRCAPRO software program. RESULTS: Follow-up time between intake and most recent pedigree was significantly longer (p < 0.001) in the BRCAm compared to the BRCAwt families. Among BRCAwt families, the probability to detect a pathogenic variant did not change over time. Conversely, among the BRCAm, this probability was significantly higher for most recent vs. intake pedigree (p = 0.006). CONCLUSION: Clinical scores change significantly over time for BRCAm families. This may be due to differences in follow-up, but also to differences in cancer risks from carrying a pathogenic variant in a highly penetrant gene. To reduce bias, models for VUS classification should incorporate FH collected at intake.

Multigene testing of moderate-risk genes: be mindful of the missense.

BACKGROUND: Moderate-risk genes have not been extensively studied, and missense substitutions in them are generally returned to patients as variants of uncertain significance lacking clearly defined risk estimates. The fraction of early-onset breast cancer cases carrying moderate-risk genotypes and quantitative methods for flagging variants for further analysis have not been established. METHODS: We evaluated rare missense substitutions identified from a mutation screen of ATM, CHEK2, MRE11A, RAD50, NBN, RAD51, RINT1, XRCC2 and BARD1 in 1297 cases of early-onset breast cancer and 1121 controls via scores from Align-Grantham Variation Grantham Deviation (GVGD), combined annotation dependent depletion (CADD), multivariate analysis of protein polymorphism (MAPP) and PolyPhen-2. We also evaluated subjects by polygenotype from 18 breast cancer risk SNPs. From these analyses, we estimated the fraction of cases and controls that reach a breast cancer OR≥2.5 threshold. RESULTS: Analysis of mutation screening data from the nine genes revealed that 7.5% of cases and 2.4% of controls were carriers of at least one rare variant with an average OR≥2.5. 2.1% of cases and 1.2% of controls had a polygenotype with an average OR≥2.5. CONCLUSIONS: Among early-onset breast cancer cases, 9.6% had a genotype associated with an increased risk sufficient to affect clinical management recommendations. Over two-thirds of variants conferring this level of risk were rare missense substitutions in moderate-risk genes. Placement in the estimated OR≥2.5 group by at least two of these missense analysis programs should be used to prioritise variants for further study. Panel testing often creates more heat than light; quantitative approaches to variant prioritisation and classification may facilitate more efficient clinical classification of variants.

Tumour morphology predicts PALB2 germline mutation status.

BACKGROUND: Population-based studies of breast cancer have estimated that at least some PALB2 mutations are associated with high breast cancer risk. For women carrying PALB2 mutations, knowing their carrier status could be useful in directing them towards effective cancer risk management and therapeutic strategies. We sought to determine whether morphological features of breast tumours can predict PALB2 germline mutation status. METHODS: Systematic pathology review was conducted on breast tumours from 28 female carriers of PALB2 mutations (non-carriers of other known high-risk mutations, recruited through various resources with varying ascertainment) and on breast tumours from a population-based sample of 828 Australian women diagnosed before the age of 60 years (which included 40 BRCA1 and 18 BRCA2 mutation carriers). Tumour morphological features of the 28 PALB2 mutation carriers were compared with those of 770 women without high-risk mutations. RESULTS: Tumours arising in PALB2 mutation carriers were associated with minimal sclerosis (odds ratio (OR)=19.7; 95% confidence interval (CI)=6.0-64.6; P=5 × 10(-7)). Minimal sclerosis was also a feature that distinguished PALB2 mutation carriers from BRCA1 (P=0.05) and BRCA2 (P=0.04) mutation carriers. CONCLUSION: This study identified minimal sclerosis to be a predictor of germline PALB2 mutation status. Morphological review can therefore facilitate the identification of women most likely to carry mutations in PALB2.

Rare mutations in XRCC2 increase the risk of breast cancer.

An exome-sequencing study of families with multiple breast-cancer-affected individuals identified two families with XRCC2 mutations, one with a protein-truncating mutation and one with a probably deleterious missense mutation. We performed a population-based case-control mutation-screening study that identified six probably pathogenic coding variants in 1,308 cases with early-onset breast cancer and no variants in 1,120 controls (the severity grading was p < 0.02). We also performed additional mutation screening in 689 multiple-case families. We identified ten breast-cancer-affected families with protein-truncating or probably deleterious rare missense variants in XRCC2. Our identification of XRCC2 as a breast cancer susceptibility gene thus increases the proportion of breast cancers that are associated with homologous recombination-DNA-repair dysfunction and Fanconi anemia and could therefore benefit from specific targeted treatments such as PARP (poly ADP ribose polymerase) inhibitors. This study demonstrates the power of massively parallel sequencing for discovering susceptibility genes for common, complex diseases.

Cannabis, tobacco and domestic fumes intake are associated with nasopharyngeal carcinoma in North Africa.

BACKGROUND: The lifestyle risk factors for nasopharyngeal carcinoma (NPC) in North Africa are not known. METHODS: From 2002 to 2005, we interviewed 636 patients and 615 controls from Algeria, Morocco and Tunisia, frequency-matched by centre, age, sex, and childhood household type (urban/rural). Conditional logistic regression was used to evaluate the association of lifestyles with NPC risk, controlling for socioeconomic status and dietary risk factors. RESULTS: Cigarette smoking and snuff (tobacco powder with additives) intake were significantly associated with differentiated NPC but not with undifferentiated carcinoma (UCNT), which is the major histological type of NPC in these populations. As demonstrated by a stratified permutation test and by conditional logistic regression, marijuana smoking significantly elevated NPC risk independently of cigarette smoking, suggesting dissimilar carcinogenic mechanisms between cannabis and tobacco. Domestic cooking fumes intake by using kanoun (compact charcoal oven) during childhood increased NPC risk, whereas exposure during adulthood had less effect. Neither alcohol nor shisha (water pipe) was associated with risk. CONCLUSION: Tobacco, cannabis and domestic cooking fumes intake are risk factors for NPC in western North Africa.

Evidence for interaction between the TCO and NMTC1 loci in familial non-medullary thyroid cancer.

BACKGROUND: Familial non-medullary thyroid cancer (fNMTC) is a complex genetic disorder that is more aggressive than its sporadic counterpart. Thus far, three genetic loci have been implicated in susceptibility to fNMTC by linkage analysis. METHODS: We used linkage analysis to test the significance of two of the known susceptibility loci for fNMTC, TCO on 19p13 and NMTC1 on 2q21 in 10 fNMTC families, nine of which present with cell oxyphilia, a rare histological phenotype associated with TCO. Furthermore, we used two-locus linkage analysis to examine the possibility that the TCO and NMTC1 loci interact to increase the risk of NMTC. RESULTS: The 10 families provided evidence for linkage at both TCO and NMTC, with LOD scores of 1.56 and 2.85, respectively. Two-locus linkage analysis, using a multiplicative risk model for the development of NMTC, achieved a maximum LOD of 3.92, with an LOD of 4.51 when assuming 70% of families were linked, indicating that the segregation in these families is consistent with an interaction model. Most of this evidence came from a large Tyrolean family that singularly achieved a two-locus LOD of 3.21. CONCLUSIONS: These results provide further evidence that susceptibility genes for fNMTC exist at 19p13 and 2q21, and furthermore, raise the possibility that in a subset of fNMTC pedigrees, these loci interact resulting in significantly increased risk of NMTC for patients that carry both susceptibility loci.

Specific haplotypes of the RET proto-oncogene are over-represented in patients with sporadic papillary thyroid carcinoma.

BACKGROUND: Papillary thyroid carcinoma (PTC), which may be sporadic (95%) or familial (5%), has a prevalence adjusted for age in the general population of 1:100 000. Somatic rearrangements of the RET proto-oncogene are present in up to 66% of sporadic tumours, while they are rarely found in familial cases. PURPOSE: In order to determine if some variants of this gene, or a combination of them, might predispose to PTC, we looked for an association of RET haplotype(s) in PTC cases and in controls from four countries matched for sex, age, and population. METHODS: Four single nucleotide polymorphisms (SNPs) across the RET coding sequence were typed and haplotype frequencies were estimated. Genotype and haplotype distributions were compared among these cases and controls. RESULTS: Ten haplotypes were observed, the seven most frequent of which have been previously described in sporadic Hirschsprung patients and controls. The single locus analyses suggested association of exon 2 and exon 13 SNPs with sporadic PTC. The haplotype analysis showed over-representation of one haplotype in French and Italian sporadic PTC, whereas a different haplotype was significantly under-represented in French familial PTC. CONCLUSIONS: Our data suggest that some variants of RET and some specific haplotypes may act as low penetrance alleles in the predisposition to PTC.

Population aspects of cancer genetics.

A number of relatively rare, high-risk genes have been identified which predispose to common cancers such as breast, colon, and melanoma. Although these are clearly important in the clinical setting, it is also relevant to discuss the impact of these genes at the population level and to contrast these with that which could be ascribed to more common genetic variants which only confer a modest increased risk of cancer. In this review, we examine inferences about the role of genetics in cancer from ecological studies of incidence patterns from a number of population-based studies of familial and attributable risk. The relationship between the genetic model (genotypic risk, allele frequency, mode of inheritance) and the expected impact in the population in terms of both attributable risk and familial risk is presented. The advantages and limitations of using cancer occurrence in twins to measure the genetic contribution to specific cancer sites is discussed. The potential role of lower-penetrance genes in the overall cancer burden may be significant but may pose significant problems in the public health arena.

Increased risk for nonmedullary thyroid cancer in the first degree relatives of prevalent cases of nonmedullary thyroid cancer: a hospital-based study.

The genetic basis for nonmedullary forms of thyroid cancer (NMTC) is less well established than that of medullary thyroid cancer. However, epidemiological and family studies suggest that a proportion of NMTC may be due to inherited predisposition. To estimate the familial risk of thyroid cancer, we conducted a hospital-based case-control study at the Princess Margaret Hospital in Toronto, Ontario, Canada, and at 2 university hospitals in Montréal, Québec, Canada. We obtained pedigrees from 339 unselected patients diagnosed with NMTC and from 319 unaffected ethnically matched controls. Family histories of cancer were obtained from the cases and controls for 3292 first degree relatives of cases and controls. Seventeen cases (5.0%) and 2 controls (0.6%) reported at least one first degree relative with thyroid cancer. In relatives of patients with thyroid cancer, the incidence of any type of cancer (including NMTC) was 38% higher than in relatives of controls (incidence rate ratio, 1.4; 95% confidence interval, 1.1-1.7). The relative risk for thyroid cancer was 10-fold higher in relatives of cancer patients than in controls (incidence rate ratio, 10.3; 95% confidence interval, 2.2-47.6). Our findings suggest that hereditary or other familial factors are important in a small proportion of NMTC. Molecular studies are needed to determine the genetic basis of cancer susceptibility in these families.

Localization of a susceptibility gene for familial nonmedullary thyroid carcinoma to chromosome 2q21.

The familial form of nonmedullary thyroid carcinoma (NMTC) is a complex genetic disorder characterized by multifocal neoplasia and a higher degree of aggressiveness than its sporadic counterpart. In a large Tasmanian pedigree (Tas1) with recurrence of papillary thyroid carcinoma (PTC), the most common form of NMTC, an extensive genomewide scan revealed a common haplotype on chromosome 2q21 in seven of the eight patients with PTC. To verify the significance of the 2q21 locus, we performed linkage analysis in an independent sample set of 80 pedigrees, yielding a multipoint heterogeneity LOD score (HLOD) of 3.07 (alpha=0.42), nonparametric linkage (NPL) 3.19, (P=.001) at marker D2S2271. Stratification based on the presence of at least one case of the follicular variant of PTC, the phenotype observed in the Tas1 family, identified 17 such pedigrees, yielding a maximal HLOD score of 4.17 (alpha=0.80) and NPL=4.99 (P=.00002) at markers AFMa272zg9 and D2S2271, respectively. These results indicate the existence of a susceptibility locus for familial NMTC on chromosome 2q21.

Major strengths and weaknesses of model-free methods.

This chapter discusses some of the principal advantages and disadvantages inherent in the use of model-free (MF) methods. The principal advantage is that one does not need to specify, a priori, a genetic model for the trait of interest, which often is not known for many complex phenotypes of interest. On the other hand, as with all nonparametric approaches, use of model-free methods results in reduced power for detection of linkage compared with model-based methods when the model is correctly specified. The MF methods also have a potential for computational simplicity and are ideally suited for analysis of specific relative sets such as affected sibpairs. The MF methods are ideally suited to the analysis of quantitative traits for which finding and implementing a suitable genetic model for use in a parametric linkage analysis may be cumbersome. On the other hand, for discrete traits, most model-free methods allow for only a simple definition of "affected," making it difficult to consider such factors as age at onset, diagnostic accuracy of phenotype, or sex-specific disease risks. A factor that can be viewed as both a strength and weakness of MF methods is the large number of statistical approaches and implementation options of model-free methods; while providing a number of choices for the more sophisticated users, such variety also may lead to the risk of overanalysis of the data by selecting the approach that gives the desired result. In the end, the choice between model-free and model-based methods will largely depend on the nature of the phenotype under study and the existing knowledge base about its underlying mode of inheritance.

Genetic heterogeneity in familial nonmedullary thyroid carcinoma: exclusion of linkage to RET, MNG1, and TCO in 56 families. NMTC Consortium.

Epidemiological studies show a very high relative risk for first degree relatives of probands with thyroid cancer. The familial form of nonmedullary thyroid carcinoma (NMTC) gives a more severe phenotype and appears earlier than its sporadic counterpart. Moreover, benign thyroid pathologies are often observed in NMTC kindreds. Little is known about the genetic risk factors of the disease. To study them, an international consortium has been organized at the International Agency for Research on Cancer over the past 2 yr to collect biological samples from NMTC families. The only genes known to be directly involved in susceptibility to NMTC are MNG1 on chromosome 14q32 and TCO on chromosome 19q13.2, previously localized by us and others. In addition to those two genes, the genes for Cowden's syndrome and familial adenomatous polyposis are associated with thyroid cancer, but not as an indicative phenotype. Another important gene in thyroid carcinogenesis is RET, which is mutated in the majority of cases of hereditary medullary thyroid cancer and rearranged in an important fraction of sporadic cases of NMTC. Here we report the result of a linkage analysis performed on the 56 more informative kindreds we have collected through the international consortium. Linkage analysis using both parametric and nonparametric methods excluded MNG1, TCO, and RET as major genes of susceptibility to NMTC and demonstrated that this trait is characterized by genetic heterogeneity.

Multipoint genomic scanning for quantitative loci: effects of map density, sibship size and computational approach.

Multipoint interval mapping (MIM) and the MAPMAKER/SIBS program (M/S) are two methods of mapping quantitative loci by examining identity by descent (IBD) sharing in a region spanned by multiple microsatellite DNA markers. For the purpose of comparison, we simulated a quantitative trait controlled by a two-locus model, and evaluated the power and genome-wide false positive rate of both approaches. Based on our simulation, we examined the effects of marker density (5 cM, 10 cM and 20 cM) and sibship size (2, 3, 4 and 5) on the power to detect linkage. Our results indicate that a 10 cM map provides the optimal trade-off between power and type I error, and that the power of MIM increases with sibship size and, in general, performs better than MAPMAKER/SIBS. Furthermore, we conclude that using a reasonable sample of randomly ascertained sibships, it is possible to map a quantitative trait locus (QTL) which accounts for 25% of the phenotypic variance.

Familial nontoxic multinodular thyroid goiter locus maps to chromosome 14q but does not account for familial nonmedullary thyroid cancer.

Thyroid goiter is a common condition that is often associated with iodine deficiency. Familial forms of goiter in areas not known to feature iodine deficiency are much less common. We have performed a genomic search on a single large Canadian family with 18 cases of nontoxic multinodular goiter in which 2 individuals also had papillary lesions highly suggestive of papillary carcinoma. A locus on chromosome 14q (MNG1 [multinodular goiter 1]) has been identified, with a maximal two-point LOD score of 3.8 at D14S1030 and a multipoint LOD score of 4.88 at the same marker, defined by D14S1062 (upper boundary) and D14S267 (lower boundary). The gene encoding thyroid-stimulating hormone receptor (TSHR), which is located on chromosome 14q, is outside the linked region. To determine the role of this gene in familial nonmedullary thyroid cancer (NMTC), we studied 37 smaller pedigrees each containing at least two cases of NMTC. Analysis by both parametric and nonparametric methods indicates that only a very small proportion of familial NMTC (point estimate 0.001, support intervals 0-.6 under a dominant model) is attributable to MNG1.

Cancer risks in two large breast cancer families linked to BRCA2 on chromosome 13q12-13.

The penetrance of the BRCA2 gene on chromosome 13q12-13 has been estimated in two large, systematically ascertained, linked families, by use of a maximum-likelihood method to incorporate both cancer-incidence data and 13q marker typings in the families. The cumulative risk of breast cancer in female gene carriers was estimated to be 59.8% by age 50 years (95% confidence interval [95% CI] 25.9%-78.5%) and 79.5% by age 70 years (95% CI 28.9%-97.5%). The cumulative risk of breast cancer in male carriers was estimated to be 6.3% (95% CI 1.4%-25.6%) by age 70 years. There was no evidence of any risk difference between the two families. These results indicate that the lifetime breast cancer risk in BRCA2 carriers, for at least a subset of mutations, is comparable to that for BRCA1. A significant excess of ovarian cancer in gene carriers was observed (relative risk 17.69, based on three cases), but the absolute risk of ovarian cancer was less than that reported for BRCA1. Significant excesses of laryngeal cancer (relative risk 7.67, based on two possible carriers) and prostate cancer (relative risk 2.89, based on five possible carriers) were also observed. One case of ocular melanoma, as well as a second eye cancer of unspecified histology, occurred in obligate gene carriers.

Optimal strategies for mapping complex diseases in the presence of multiple loci.

Recent advances in genome technology have led to mapping and subsequent isolation, by positional cloning, of a number of genes for common and/or complex human diseases. It therefore will be possible to utilize information about a known locus in the search for additional, perhaps less penetrant, genes for a particular disease. It is also unclear, under these situations, what the optimal sampling strategy should be. To address these questions, we have calculated the expected LOD score for localizing one locus in a variety of two-locus models of disease, for four different pedigree structures, and under three different scenarios regarding knowledge/testing of one of the two loci. These design considerations are evaluated by use of a cost function that incorporates the costs of ascertaining different family structures, the relative costs of genotyping and mutation testing family members, and the amount of information provided by each family structure and testing scenario. The results indicate that, in most cases, affected sib pairs are a particularly poor strategy, especially when linkage or mutation data are available at the known locus. We also demonstrate that prescreening the sample of families for mutations at known susceptibility loci is, in general, a cost-effective strategy.

The performance of MIM in comparison with MAPMAKER/SIBS to detect QTLs.

This paper summarizes the results of searching for evidence of loci contributing to simulated quantitative traits which are associated with a common genetic disease using two multipoint identity by descent (IBD) sharing methods: MIM and MAPMAKER/SIBS. In brief, by varying the lod-score threshold from 1 to 3, we found that MIM and MAPMAKER/SIBS have similar power to detect linkage, but MAPMAKER/SIBS consistently produces a higher number of false positives.

Comparison of BRCA1 polymorphisms, rare sequence variants and/or missense mutations in unaffected and breast/ovarian cancer populations.

Inherited mutations in the BRCA1 gene are known to confer a predisposition to breast and ovarian cancer. We have first characterized 19 sequence variants in the BRCA1 gene during mutation screening by direct sequencing using DNA samples from breast/ovarian cancer patients or obligate carriers. The frequencies of these sequence variants were then compared with those found in control populations of women. Among the 10 sequence variants showing an estimated frequency of the less common allele above 0.05, Q/R356, L/P871, E/G1038, K/R1183 and S/G1613 result in a change of amino acids, 2201C/T, 2430T/C and 4427C/T are silent mutations and the two others, 4209-141C/A and 5272 + 66A/G, are intronic polymorphisms. These frequent polymorphisms, with the exception of Q/R356, were in complete or significant pairwise linkage disequilibrium as evaluated in our control populations. With one exception (L/P871), none of these variants had statistically significant (P < 0.05) differences in allele frequency between breast/ovarian cancer patients or obligate carriers and our control populations. Four rare sequence variants designated 710C-->T, D693N, R841W and S1040N were found in both unaffected and breast/ovarian cancer populations, while the missense mutations M1008I, E1219D, R1347G, T1561I and M1628V were detected only once in our patient population. When a functional test is available, it will be important to determine the consequence on the BRCA1 activity of these rare sequence variants and missense mutations.