GeneLink: a database to facilitate genetic studies of complex traits.

BACKGROUND: In contrast to gene-mapping studies of simple Mendelian disorders, genetic analyses of complex traits are far more challenging, and high quality data management systems are often critical to the success of these projects. To minimize the difficulties inherent in complex trait studies, we have developed GeneLink, a Web-accessible, password-protected Sybase database. RESULTS: GeneLink is a powerful tool for complex trait mapping, enabling genotypic data to be easily merged with pedigree and extensive phenotypic data. Specifically designed to facilitate large-scale (multi-center) genetic linkage or association studies, GeneLink securely and efficiently handles large amounts of data and provides additional features to facilitate data analysis by existing software packages and quality control. These include the ability to download chromosome-specific data files containing marker data in map order in various formats appropriate for downstream analyses (e.g., GAS and LINKAGE). Furthermore, an unlimited number of phenotypes (either qualitative or quantitative) can be stored and analyzed. Finally, GeneLink generates several quality assurance reports, including genotyping success rates of specified DNA samples or success and heterozygosity rates for specified markers. CONCLUSIONS: GeneLink has already proven an invaluable tool for complex trait mapping studies and is discussed primarily in the context of our large, multi-center study of hereditary prostate cancer (HPC). GeneLink is freely available at http://research.nhgri.nih.gov/genelink.

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.

Genome-wide scan of Swedish families with hereditary prostate cancer: suggestive evidence of linkage at 5q11.2 and 19p13.3.

BACKGROUND: Prostate cancer (CaP) is a common disorder with multiple genetic and environmental factors contributing to the disease. CaP susceptibility loci can be identified through genome-wide scans of high-risk families. METHODS: Allele sharing at 405 markers, distributed across the genome, among 50 families with hereditary prostate cancer, ascertained throughout Sweden, was evaluated through linkage analyses. Genotype data were analyzed utilizing multipoint parametric and non-parametric methods. RESULTS: Two regions provided suggestive evidence for linkage: 19p13.3 (marker D19S209, LOD = 2.91, P = 0.0001) and 5q11.2 (marker D5S407, LOD = 2.24, P = 0.0007). Additional regions with moderate evidence for linkage in the complete set of families, or stratified subsets, were observed on chromosome 1, 4, 6, 7, 8, and X. CONCLUSIONS: Our results provide strong confirmatory evidence of linkage at 19q13.3 and 5q11.2. The lack of confirmation of linkage at several loci identified in other genome-wide scans emphasizes the need to combine linkage data between research groups.

Genome-wide scan for prostate cancer susceptibility genes in the Johns Hopkins hereditary prostate cancer families.

BACKGROUND: Although the subject of intensive study, the genetic influences responsible for familial clustering of prostate cancer remain largely unidentified. Genome-wide scans for linkage in prostate cancer families can be used to systematically search for genes capable of affecting risk for the disease. METHODS: All available family members from 188 families, each having at least three first-degree relatives affected with prostate cancer, were genotyped at 406 markers distributed across the genome at average intervals of less than 10 cM. Genotype data was analyzed using primarily a non-parametric, multipoint approach, although parametric analyses were performed as well. RESULTS: The strongest evidence for linkage was observed at D4S1615, at 4q21 (LOD of 2.8, P = 0.0002). Two other regions had LOD scores over 2.0: at 9q34 (marker D9S1826, LOD = 2.17, P = 0.0008) and at 2q23 (marker D2S151, LOD = 2.03, P = 0.001). An additional 12 regions had LOD scores over 1.0, including markers at 1q24-25 and 7q22 having scores >1.6. Stratifying the linkage results by age of diagnosis indicated that the linkages to chromosomes 2 and 4 were strongest in families with early and late ages of diagnosis, respectively. CONCLUSIONS: Our data implicate several new loci as harboring prostate cancer susceptibility genes, and provide confirmatory evidence of linkage at several loci identified previously in other genome-wide scans, including the three regions (4q21, 9q34, and 2q23) with strongest evidence for prostate cancer linkage. These data also emphasize the need to combine linkage data from large numbers of prostate cancer families in efforts to effectively address the extensive heterogeneity that characterizes genetic aspects of this disease.

Genome-wide scan for prostate cancer susceptibility genes using families from the University of Michigan prostate cancer genetics project finds evidence for linkage on chromosome 17 near BRCA1.

BACKGROUND: Previous linkage studies have suggested prostate cancer susceptibility genes located on chromosomes 1, 20, and X. Several putative prostate cancer candidate genes have also been identified including RNASEL, MSR1, and ELAC2. Presently, these linkage regions and candidate genes appear to explain only a small proportion of hereditary prostate cancer cases suggesting the need for additional whole genome analyses. METHODS: A genome-wide mode-of-inheritance-free linkage scan, using 405 genetic markers, was conducted on 175 pedigrees, the majority containing three or more affected individuals diagnosed with prostate cancer. Stratified linkage analyses were performed based on previously established criteria. RESULTS: Results based on the entire set of 175 pedigrees showed strong suggestive evidence for linkage on chromosome 17q (LOD = 2.36), with strongest evidence coming from the subset of pedigrees with four or more affected individuals (LOD = 3.27). Race specific analyses revealed strong suggestive evidence for linkage in our African-American pedigrees on chromosome 22q (LOD = 2.35). CONCLUSIONS: Genome-wide analysis of a large set of prostate cancer families indicates new areas of the genome that may harbor prostate cancer susceptibility genes. Specifically, our linkage results suggest that there is a prostate cancer susceptibility gene on chromosome 17 that is independent of ELAC2. Further research including combined analyses of independent genome-wide scan data may clarify the most important regions for future investigation.

Localization of a novel melanoma susceptibility locus to 1p22.

Over the past 20 years, the incidence of cutaneous malignant melanoma (CMM) has increased dramatically worldwide. A positive family history of the disease is among the most established risk factors for CMM; it is estimated that 10% of CMM cases result from an inherited predisposition. Although mutations in two genes, CDKN2A and CDK4, have been shown to confer an increased risk of CMM, they account for only 20%-25% of families with multiple cases of CMM. Therefore, to localize additional loci involved in melanoma susceptibility, we have performed a genomewide scan for linkage in 49 Australian pedigrees containing at least three CMM cases, in which CDKN2A and CDK4 involvement has been excluded. The highest two-point parametric LOD score (1.82; recombination fraction [theta] 0.2) was obtained at D1S2726, which maps to the short arm of chromosome 1 (1p22). A parametric LOD score of 4.65 (theta=0) and a nonparametric LOD score of 4.19 were found at D1S2779 in nine families selected for early age at onset. Additional typing yielded seven adjacent markers with LOD scores >3 in this subset, with the highest parametric LOD score, 4.95 (theta=0) (nonparametric LOD score 5.37), at D1S2776. Analysis of 33 additional multiplex families with CMM from several continents provided further evidence for linkage to the 1p22 region, again strongest in families with the earliest mean age at diagnosis. A nonparametric ordered sequential analysis was used, based on the average age at diagnosis in each family. The highest LOD score, 6.43, was obtained at D1S2779 and occurred when the 15 families with the earliest ages at onset were included. These data provide significant evidence of a novel susceptibility gene for CMM located within chromosome band 1p22.