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D E Goldgar

Publications and source records attributed to D E Goldgar.

At least 19 recordsLinked to original sources
PubMed2002

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.

Alleles↗
PubMed2002

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.

Age Factors↗
PubMed2001

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.

Carcinoma, Papillary↗
PubMed2001

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.

Chromosome Mapping↗
PubMed2001

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.

Adolescent↗
PubMed1999

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.

Adult↗
PubMed1997

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.

Chromosome Mapping↗
PubMed1997

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.

Canada↗
PubMed1997

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.

BRCA2 Protein↗
PubMed1997

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.

Chromosome Mapping↗
PubMed1996

Interobserver concordance in discriminating clinical atypia of melanocytic nevi, and correlations with histologic atypia.

BACKGROUND: The clinical features attributed to atypical (formerly ¿dysplastic") nevi and to the atypical multiple mole melanoma syndrome have been used in clinical practice, as well as experimentally, to assign melanoma risk. Little information is available, however, on the interobserver reliability in assessing those features. OBJECTIVE: Our purposes were to quantify interobserver and intraobserver concordances in recognizing certain atypical characteristics of nevi and to correlate the clinical assessments with the histologic characteristics. METHODS: Three observers evaluated clinical photographs of 100 pigmented lesions (predominantly melanocytic nevi, with some lentigines and seborrheic keratoses) from 95 subjects, of whom 85 were family members of four multiple melanoma kindreds and 10 were spouses. Each lesion was rated for border irregularity, color variegation, surface contour irregularity, pigment diffusion, and macularity versus papularity. Predictions were made as to the histologic diagnoses and presence of melanocytic atypia for those lesions judged to be nevi. RESULTS: The pair-wise concordances before agreement on specific criteria were quantified by kappa statistics, which indicated slight to fair agreement in judging the atypical clinical characteristics; concordances increased to moderate levels after consensus development of criteria for color variegation and assessment of macularity, but agreement on the other features remained limited. Whereas macularity and color variegation did correlate somewhat with higher grades of histologic atypia, correlations were generally low between the clinical and histologic diagnoses. CONCLUSION: There is limited interobserver reliability in the clinical assessment of nevus atypia, although correlations do exist between some atypical characteristics and grades of histologic atypia. Because of the low concordances, the clinical discrimination of the melanoma-associated atypical nevus phenotype should rely more on quantitative aspects of the trait, such as total numbers or maximal sizes of nevi, rather than on the subjective determinations of atypia.

Dermatitis, Seborrheic↗
PubMed1996

Ovarian cancer risk in BRCA1 carriers is modified by the HRAS1 variable number of tandem repeat (VNTR) locus.

Women who carry a mutation in the BRCA1 gene (on chromosome 17q21), have an 80% risk of breast cancer and a 40% risk of ovarian cancer by the age of 70 (ref. 1). The variable penetrance of BRCA1 suggests that other genetic and non-genetic factors play a role in tumourigenesis in these individuals. The HRAS1 variable number of tandem repeats (VNTR) polymorphism, located 1 kilobase (kb) downstream of the HRAS1 proto-oncogene (chromosome 11p15.5) is one possible genetic modifier of cancer penetrance. Individuals who have rare alleles of the VNTR have an increased risk of certain types of cancers, including breast cancer (2-4). To investigate whether the presence of rare HRAS1 alleles increases susceptibility to hereditary breast and ovarian cancer, we have typed a panel of 307 female BRCA1 carriers at this locus using a PCR-based technique. The risk for ovarian cancer was 2.11 times greater for BRCA1 carriers harbouring one or two rare HRAS1 alleles, compared to carriers with only common alleles (P = 0.015). The magnitude of the relative risk associated with a rare HRAS1 allele was not altered by adjusting for the other known risk factors for hereditary ovarian cancer (5). Susceptibility to breast cancer did not appear to be affected by the presence of rare HRAS1 alleles. This study is the first to show the effect of a modifying gene on the penetrance of an inherited cancer syndrome.

Adult↗
PubMed1996

The complete BRCA2 gene and mutations in chromosome 13q-linked kindreds.

Breast carcinoma is the most common malignancy among women in developed countries. Because family history remains the strongest single predictor of breast cancer risk, attention has focused on the role of highly penetrant, dominantly inherited genes in cancer-prone kindreds (1). BRCA1 was localized to chromosome 17 through analysis of a set of high-risk kindreds (2), and then identified four years later by a positional cloning strategy (3). BRCA2 was mapped to chromosomal 13q at about the same time (4). Just fifteen months later, Wooster et al. (5) reported a partial BRCA2 sequence and six mutations predicted to cause truncation of the BRCA2 protein. While these findings provide strong evidence that the identified gene corresponds to BRCA2, only two thirds of the coding sequence and 8 out of 27 exons were isolated and screened; consequently, several questions remained unanswered regarding the nature of BRCA2 and the frequency of mutations in 13q-linked families. We have now determined the complete coding sequence and exonic structure of BRCA2 (GenBank accession #U43746), and examined its pattern of expression. Here, we provide sequences for a set of PCR primers sufficient to screen the entire coding sequence of BRCA2 using genomic DNA. We also report a mutational analysis of BRCA2 in families selected on the basis of linkage analysis and/or the presence of one or more cases of male breast cancer. Together with the specific mutations described previously, our data provide preliminary insight into the BRCA2 mutation profile.

BRCA2 Protein↗
PubMed1996

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.

BRCA1 Protein↗
PubMed1996

Haplotype and phenotype analysis of six recurrent BRCA1 mutations in 61 families: results of an international study.

Several BRCA1 mutations have now been found to occur in geographically diverse breast and ovarian cancer families. To investigate mutation origin and mutation-specific phenotypes due to BRCA1, we constructed a haplotype of nine polymorphic markers within or immediately flanking the BRCA1 locus in a set of 61 breast/ovarian cancer families selected for having one of six recurrent BRCA1 mutations. Tests of both mutations and family-specific differences in age at diagnosis were not significant. A comparison of the six mutations in the relative proportions of cases of breast and ovarian cancer was suggestive of an effect (P = .069), with 57% of women presumed affected because of the 1294 del 40 BRCA1 mutation having ovarian cancer, compared with 14% of affected women with the splice-site mutation in intron 5 of BRCA1. For the BRCA1 mutations studied here, the individual mutations are estimated to have arisen 9-170 generations ago. In general, a high degree of haplotype conservation across the region was observed, with haplotype differences most often due to mutations in the short-tandem-repeat markers, although some likely instances of recombination also were observed. For several of the instances, there was evidence for multiple, independent, BRCA1 mutational events.

Alleles↗
PubMed1995

Screening for linkage using a multipoint identity-by-descent method.

The multipoint identity-by-descent method (MIM) was used to analyze simulated data for quantitative traits from GAW9. A two-stage method of implementation was used. First, polymorphic markers spaced 6-12 cM apart were used to identify chromosomes of interest for each trait Q1-Q4; and second, for each of these chromosomes, markers spaced 2 cM apart were used to confirm the linkage detected and refine the region for the susceptibility loci. MIM performed well at both levels of mapping, correctly detecting major genes for trait Q3 on chromosome 2, trait Q2 on chromosome 1, and trait Q4 on chromosome 5.

Analysis of Variance↗