Genome-wide linkage analysis of 1,233 prostate cancer pedigrees from the International Consortium for Prostate Cancer Genetics using novel sumLINK and sumLOD analyses.

BACKGROUND: Prostate cancer (PC) is generally believed to have a strong inherited component, but the search for susceptibility genes has been hindered by the effects of genetic heterogeneity. The recently developed sumLINK and sumLOD statistics are powerful tools for linkage analysis in the presence of heterogeneity. METHODS: We performed a secondary analysis of 1,233 PC pedigrees from the International Consortium for Prostate Cancer Genetics (ICPCG) using two novel statistics, the sumLINK and sumLOD. For both statistics, dominant and recessive genetic models were considered. False discovery rate (FDR) analysis was conducted to assess the effects of multiple testing. RESULTS: Our analysis identified significant linkage evidence at chromosome 22q12, confirming previous findings by the initial conventional analyses of the same ICPCG data. Twelve other regions were identified with genome-wide suggestive evidence for linkage. Seven regions (1q23, 5q11, 5q35, 6p21, 8q12, 11q13, 20p11-q11) are near loci previously identified in the initial ICPCG pooled data analysis or the subset of aggressive PC pedigrees. Three other regions (1p12, 8p23, 19q13) confirm loci reported by others, and two (2p24, 6q27) are novel susceptibility loci. FDR testing indicates that over 70% of these results are likely true positive findings. Statistical recombinant mapping narrowed regions to an average of 9 cM. CONCLUSIONS: Our results represent genomic regions with the greatest consistency of positive linkage evidence across a very large collection of high-risk PC pedigrees using new statistical tests that deal powerfully with heterogeneity. These regions are excellent candidates for further study to identify PC predisposition genes.

Genome-wide linkage of 77 families from the African American Hereditary Prostate Cancer study (AAHPC).

BACKGROUND: The African American Hereditary Prostate Cancer (AAHPC) Study was designed to recruit families with early-onset disease fulfilling criteria of >or=4 affected. METHODS: We present a approximately 10 cM genome-wide linkage (GWL) analysis on 77 families including 254 affected and 274 unaffected genotyped. RESULTS: Linkage analysis revealed three chromosomal regions with GENEHUNTER multipoint HLOD scores >or=1.3 for all 77 families at 11q22, 17p11, and Xq21. One family yielded genome-wide significant evidence of linkage (LOD = 3.5) to the 17p11 region with seven other families >or=2.3 in this region. Twenty-nine families with no-male-to-male (MM) transmission gave a peak HLOD of 1.62 (alpha = 0.33) at the Xq21 locus. Two novel peaks >or=0.91 for the 16 families with '>6 affected' occurred at 2p21 and 22q12. CONCLUSIONS: These chromosomal regions in the genome warrant further follow-up based on the hypothesis of multiple susceptibility genes with modest effects, or several major genes segregating in small subsets of families.

Identification of tag single-nucleotide polymorphisms in regions with varying linkage disequilibrium.

We compared seven different tagging single-nucleotide polymorphism (SNP) programs in 10 regions with varied amounts of linkage disequilibrium (LD) and physical distance. We used the Collaborative Studies on the Genetics of Alcoholism dataset, part of the Genetic Analysis Workshop 14. We show that in regions with moderate to strong LD these programs are relatively consistent, despite different parameters and methods. In addition, we compared the selected SNPs in a multipoint linkage analysis for one region with strong LD. As the number of selected SNPs increased, the LOD score, mean information content, and type I error also increased.

Segregation analysis of 1,546 prostate cancer families in Finland shows recessive inheritance.

Prostate cancer (PCa) is the most frequently diagnosed cancer in men worldwide and is likely to be caused by a number of genes with different modes of inheritance, population frequencies and penetrance. The objective of this study was to assess the familial aggregation of PCa in a sample of 1,546 nuclear families ascertained through an affected father and diagnosed during 1988-1993, from the unique, founder population-based resource of the Finnish Cancer Registry. Segregation analysis was performed for two cohorts of 557 early-onset and 989 late-onset families evaluating residual paternal effects and assuming that age at diagnosis followed a logistic distribution after log-transformation. The results did not support an autosomal dominant inheritance as has been reported in many of the hospital-based prostatectomy series. Instead, it confirmed the existence of hereditary PCa in the Finnish population under a complex model that included a major susceptibility locus with Mendelian recessive inheritance and a significant paternal regressive coefficient that is indicative of a polygenic/multifactorial component. The strengths of our study are the homogenous Finnish population, large epidemiological population-based data, histologically confirmed cancer diagnosis done before the PSA-era in Finland and registry based approach. Our results support the evidence that the inheritance of PCa is controlled by major genes and are in line with the previous linkage studies. Moreover, this is the first time a recessive inheritance is suggested to fit PCa in all data even when divided to early and late-onset cohorts.

Compelling evidence for a prostate cancer gene at 22q12.3 by the International Consortium for Prostate Cancer Genetics.

Previously, an analysis of 14 extended, high-risk Utah pedigrees localized in the chromosome 22q linkage region to 3.2 Mb at 22q12.3-13.1 (flanked on each side by three recombinants) contained 31 annotated genes. In this large, multi-centered, collaborative study, we performed statistical recombinant mapping in 54 pedigrees selected to be informative for recombinant mapping from nine member groups of the International Consortium for Prostate Cancer Genetics (ICPCG). These 54 pedigrees included the 14 extended pedigrees from Utah and 40 pedigrees from eight other ICPCG member groups. The additional 40 pedigrees were selected from a total pool of 1213 such that each pedigree was required to contain both at least four prostate cancer (PRCA) cases and exhibit evidence for linkage to the chromosome 22q region. The recombinant events in these 40 independent pedigrees confirmed the previously proposed region. Further, when all 54 pedigrees were considered, the three-recombinant consensus region was narrowed down by more than a megabase to 2.2 Mb at chromosome 22q12.3 flanked by D22S281 and D22S683. This narrower region eliminated 20 annotated genes from that previously proposed, leaving only 11 genes. This region at 22q12.3 is the most consistently identified and smallest linkage region for PRCA. This collaborative study by the ICPCG illustrates the value of consortium efforts and the continued utility of linkage analysis using informative pedigrees to localize genes for complex diseases.

A major locus for hereditary prostate cancer in Finland: localization by linkage disequilibrium of a haplotype in the HPCX region.

BACKGROUND: Prostate cancer (PRCA) is the most common cancer in males in the western world. In Finland PRCA has an age-adjusted incidence of 81.5 per 100,000. We previously reported that in Finland, the late-onset cases in families with "no-male-to-male" (NMM) transmission of PRCA accounted for most of the linkage to the HPCX region (Xq27-28). The aim of the present study was to test for linkage disequilibrium (LD) and haplotype-sharing around marker DXS1205 between cases from hereditary prostate cancer (HPC) families and population controls. The initial allelic association was performed between 108 PRCA cases and 257 population controls genotyped for 23 markers in the Xq26-28 region. This resulted in a highly significant nominal one-sided Fisher's exact P-value of 0.0003 for allele ''180'' of marker DXS1205. Subsequently, a similar level of significance was observed for the same allele for marker DXS1205 (P=0.0002) when comparing 60 NMM cases and 257 controls. These results were still significant after Bonferroni correction for multiple testing. Fine mapping efforts included the genotyping of four additional markers D3S2390, bG82i1.9, bG82i1.1, bG82i1.0 and four single nucleotide polymorphisms (SNPs) to augment the original markers around DXS1205. RESULTS: Our major finding is that markers extending from ''D3S2390'' to ''bG82i1.0'' flank the critical locus, about 150 kb. Levin and Bertell's LD measure (delta), a guide to localization of a possible variant, was 0.42 and 0.41 for alleles of markers bG82i1.9 and DXS1205, respectively. CONCLUSIONS: In this study, the most significant haplotype comprised the three tightly linked, contiguous markers: ''cen-bG82i1.9-SNP-Hap B-bG82i1.1-tel'' [''197-2-234''] among several possible haplotypes (nominal Fisher's one-sided P=0.003). The two transcription units mapping within this interval are the LDOC1 and SPANXC genes. Positional cloning of the HPCX gene(s) is being facilitated by this exploration of the Xq26-28 region. This study represents the first report identifying a haplotype in the Xq27-28 region for an association between HPCX and X-linked prostate cancer with no-male-to-male transmission in the Finnish population.

Hereditary prostate cancer in Finland: fine-mapping validates 3p26 as a major predisposition locus.

In a recent genome-wide linkage (GWL) analysis of Finnish families at high risk for prostate cancer, we found two novel putative susceptibility loci at 3p25-p26 and 11q14. Here, we report the fine-mapping of these two critical regions at high resolution with 39 microsatellite markers in 16 families, including multiplex families that were not used in the GWL scan. The maximum multipoint HLOD was 3.39 at 3p26 and 1.42 at 11q14. The highest LOD scores were seen around markers D3S1270 and D3S4559 (alpha=0.89), covering approximately two megabases. The two known genes in this region CHL1 (cell adhesion molecule with homology to L1CAM) and CNTN6 (contactin 6) were screened for exonic mutations in the families showing the strongest linkage, but no disease-segregating sequence variants were observed. The recombination map pointed to a region proximal to the area of best linkage, suggesting that more genes may need to be investigated as candidates. These results provide strong evidence for the existence of a prostate cancer susceptibility gene at 3p26 in Finnish prostate cancer families. This locus has not been strongly linked with hereditary prostate cancer in other populations. However, the mildly positive 3p LOD scores in a recent GWL analysis of patients from the United States suggest that the locus may also be important in other populations.

Segregation analysis of 389 Icelandic pedigrees with Breast and prostate cancer.

Breast cancer and prostate cancer are the most commonly occurring cancers in females and males, respectively. The objective of this project was to test the hypothesis that breast cancer in females and prostate cancer in males represent homologous cancers that may be controlled by one or more common unidentified genes that may explain some of the observed familial aggregation. We modeled the transmission of a breast-prostate cancer phenotype in 389 pedigrees ascertained through a breast cancer proband drawn from the Icelandic Cancer Registry. Assuming that age at diagnosis of this combined phenotype followed a logistic distribution, segregation analyses were performed to evaluate residual parental effects, a sibship covariate, and a dichotomous cohort effect. The most parsimonious model was a Mendelian codominant model, which could partly explain the familial aggregation of both cancers. Inheritance of a putative high-risk allele (A) predicted gender-specific mean ages of onset for females as 53.8 years, 59.7 years, and 65.6 years for the putative AA, AB, and BB genotypes, respectively. Similarly, the predicted means were 73.7 years, 75.6 years, and 78.3 years, respectively, among males. Under this codominant model, the lifetime risk of a woman being affected was 19% by age 80 years. This implies that when prostate cancer among male relatives of breast cancer probands (unselected for family history or early-onset disease) is considered a pleiotrophic effect of the same gene that increases the risk for breast cancer, women are predicted to have a less than 1 in 5 risk of developing breast cancer when they carry the putative high-risk allele. However, this is a higher risk than in the general Icelandic population. Our results suggest that BRCA2 mutations alone are inadequate to explain all of the excess clustering of prostate cancer cases in families of breast cancer probands, and that additional genes conferring excess risk to both breast and prostate cancer may exist in this population.

Genome-wide scan for linkage in finnish hereditary prostate cancer (HPC) families identifies novel susceptibility loci at 11q14 and 3p25-26.

BACKGROUND: In order to identify predisposition loci to hereditary prostate cancer (HPC), we performed a genome-wide linkage analysis using samples from a genetically homogeneous population, with 13 Finnish multiplex prostate cancer families. METHODS: Altogether 87 DNA samples were genotyped from 13 families. Logarithm-of-odds (LOD) scores were calculated for all autosomes using FASTLINK and GENEHUNTER designating all unaffected men and all women as unknown. RESULTS: The highest LOD scores in the affected-only analyses were found at 11q14, where the two-point LOD score was 2.97 (theta = 0.0 at D11S901), GENEHUNTER heterogeneity LOD (HLOD) of 3.36, and a non-parametric-linkage (NPL) score of 2.67 (P = 0.008). A second positive site was at 3p25-26, with a two-point LOD score of 2.57 (theta = 0.01 at D3S1297), HLOD of 2.15, and NPL score of 2.27 (P = 0.02). CONCLUSIONS: The results suggest two HPC regions in the Finnish population, which have not been reported previously and warrant further study.