Mark Gibbs
Fred Hutchinson Cancer Research Center
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American Journal of Human Genetics | 1999
Mark Gibbs; Janet L. Stanford; Richard A. McIndoe; Gail P. Jarvik; Suzanne Kolb; Ellen L. Goode; Lisa Chakrabarti; Eugene F. Schuster; Valerie A. Buckley; Elizabeth L. Miller; Susan Brandzel; Sarah Li; Leroy Hood; Elaine A. Ostrander
Combining data from a genomic screen in 70 families with a high risk for prostate cancer (PC) with data from candidate-region mapping in these families and an additional 71 families, we have localized a potential hereditary PC-susceptibility locus to chromosome 1p36. Because an excess of cases of primary brain cancer (BC) have been observed in some studies of families with a high risk for PC, and because loss of heterozygosity at 1p36 is frequently observed in BC, we further evaluated 12 families with both a history of PC and a blood relative with primary BC. The overall LOD score in these 12 families was 3.22 at a recombination fraction (theta) of .06, with marker D1S507. On the basis of an a priori hypothesis, this group was stratified by age at diagnosis of PC. In the younger age group (mean age at diagnosis <66 years), a maximum two-point LOD score of 3.65 at straight theta = .0 was observed, with D1S407. This linkage was rejected in both early- and late-onset families without a history of BC (LOD scores -7.12 and -6.03, respectively, at straight theta = .0). After exclusion of 3 of the 12 families that had better evidence of linkage to previously described PC-susceptibility loci, linkage to the 1p36 region was suggested by a two-point LOD score of 4.74 at straight theta = .0, with marker D1S407. We conclude that a significant proportion of these families with both a high risk for PC and a family member with BC show linkage to the 1p36 region.
American Journal of Human Genetics | 2000
Mark Gibbs; Janet L. Stanford; Gail P. Jarvik; Marta Janer; Michael Badzioch; Mette A. Peters; Ellen L. Goode; Suzanne Kolb; Lisa Chakrabarti; Morgan Shook; Ryan Basom; Elaine A. Ostrander; L Hood
A 10-cM genomewide scan of 94 families with hereditary prostate cancer, including 432 affected men, was used to identify regions of putative prostate cancer-susceptibility loci. There was an average of 3.6 affected, genotyped men per family, and an overall mean age at diagnosis of 65.4 years. A total of 50 families were classified as early onset (mean age at diagnosis <66 years), and 44 families were classified as later onset (mean age at diagnosis > or =66 years). When the entire data set is considered, regions of interest (LOD score > or =1.5) were identified on chromosomes 10, 12, and 14, with a dominant model of inheritance. Under a recessive model LOD scores > or =1.5 were found on chromosomes 1, 8, 10, and 16. Stratification by age at diagnosis highlighted a putative susceptibility locus on chromosome 11, among the later-onset families, with a LOD score of 3. 02 (recombination fraction 0) at marker ATA34E08. Overall, this genomic scan suggests that there are multiple prostate cancer loci responsible for the hereditary form of this common and complex disease and that stratification by a variety of factors will be required for identification of all relevant genes.
American Journal of Human Genetics | 1999
Mark Gibbs; Lisa Chakrabarti; Janet L. Stanford; Ellen L. Goode; Suzanne Kolb; Eugene F. Schuster; Valerie A. Buckley; Morgan Shook; Leroy Hood; Gail P. Jarvik; Elaine A. Ostrander
One hundred fifty-two families with prostate cancer were analyzed for linkage to markers spanning a 20-cM region of 1q42.2-43, the location of a putative prostate cancer-susceptibility locus (PCAP). No significant evidence for linkage was found, by use of both parametric and nonparametric tests, in our total data set, which included 522 genotyped affected men. Rejection of linkage may reflect locus heterogeneity or the confounding effects of sporadic disease in older-onset cases; therefore, pedigrees were stratified into homogeneous subsets based on mean age at diagnosis of prostate cancer and number of affected men. Analyses of these subsets also detected no significant evidence for linkage, although LOD scores were positive at higher recombination fractions, which is consistent with the presence of a small proportion of families with linkage. The most suggestive evidence of linkage was in families with at least five affected men (nonparametric linkage score of 1.2; P=.1). If heterogeneity is assumed, an estimated 4%-9% of these 152 families may show linkage in this region. We conclude that the putative PCAP locus does not account for a large proportion of these families with prostate cancer, although the linkage of a small subset is compatible with these data.
Genetic Epidemiology | 2000
Ellen L. Goode; Janet L. Stanford; Lisa Chakrabarti; Mark Gibbs; Suzanne Kolb; Richard A. McIndoe; Valerie A. Buckley; Eugene F. Schuster; Cassandra L. Neal; Elizabeth L. Miller; Susan Brandzel; Leroy Hood; Elaine A. Ostrander; Gail P. Jarvik
Confirmation of linkage and estimation of the proportion of families who are linked in large independent datasets is essential to understanding the significance of cancer susceptibility genes. We report here on an analysis of 150 high‐risk prostate cancer families (2,176 individuals) for potential linkage to the HPC1 prostate cancer susceptibility locus at 1q24‐25. This dataset includes 640 affected men with an average age at prostate cancer diagnosis of 66.8 years (range, 39–94), representing the largest collection of high‐risk families analyzed for linkage in this region to date. Linkage to multiple 1q24‐25 markers was strongly rejected for the sample as a whole (lod scores at theta = 0 ranged from –30.83 to –18.42). Assuming heterogeneity, the estimated proportion of families linked (alpha) at HPC1 in the entire dataset was 2.6%, using multipoint analysis. Because locus heterogeneity may lead to false rejection of linkage, data were stratified based on homogeneous subsets. When restricted to 21 Caucasian families with five or more affected family members and mean age at diagnosis < = 65 years, the lod scores at theta = 0 remained less than –4.0. These results indicate that the overall portion of hereditary prostate cancer families whose disease is due to inherited variation in HPC1 may be less than originally estimated. Genet. Epidemiol. 18:251–275, 2000.
Human Heredity | 2001
Mette A. Peters; Gail P. Jarvik; Marta Janer; Lisa Chakrabarti; Suzanne Kolb; Ellen L. Goode; Mark Gibbs; Charles C. DuBois; Eugene F. Schuster; Leroy Hood; Elaine A. Ostrander; Janet L. Stanford
Objectives: A recent linkage analysis of 360 families at high risk for prostate cancer identified the q27–28 region on chromosome X as the potential location of a gene involved in prostate cancer susceptibility. Here we report on linkage analysis at this putative HPCX locus in an independent set of 186 prostate cancer families participating in the Prostate Cancer Genetic Research Study (PROGRESS). Methods: DNA samples from these families were genotyped at 8 polymorphic markers spanning 14.3 cM of the HPCX region. Results: Two-point parametric analysis of the total data set resulted in positive lod scores at only two markers, DXS984 and DXS1193, with scores of 0.628 at a recombination fraction (θ) of 0.36 and 0.012 at θ = 0.48, respectively. The stratification of pedigrees according to the assumed mode of transmission increased the evidence of linkage at DXS984 in 81 families with no evidence of male-to-male transmission (lod = 1.062 at θ = 0.28). Conclusions: Although this analysis did not show statistically significant evidence for the linkage of prostate cancer susceptibility to Xq27–28, the results are consistent with a small percentage of families being linked to this region. The analysis further highlights difficulties in replicating linkage results in an etiologically heterogeneous, complexly inherited disease.
International Journal of Cancer | 2003
Erin M. Conlon; Ellen L. Goode; Mark Gibbs; Janet L. Stanford; Michael Badzioch; Marta Janer; Suzanne Kolb; Lee Hood; Elain A. Ostrander; Gail P. Jarvik; Ellen M. Wijsman
Previous studies have suggested strong evidence for a hereditary component to prostate cancer (PC) susceptibility. Here, we analyze 3,796 individuals in 263 PC families recruited as part of the ongoing Prostate Cancer Genetic Research Study (PROGRESS). We use Markov chain Monte Carlo (MCMC) oligogenic segregation analysis to estimate the number of quantitative trait loci (QTLs) and their contribution to the variance in age at onset of hereditary PC (HPC). We estimate 2 covariate effects: diagnosis of PC before and after prostate‐specific antigen (PSA) test availability, and presence/absence of at least 1 blood relative with primary neuroepithelial brain cancer (BC). We find evidence that 2 to 3 QTLs contribute to the variance in age at onset of HPC. The 2 QTLs with the largest contribution to the total variance are both effectively dominant loci. We find that the covariate for diagnosis before and after PSA test availability is important. Our findings for the number of QTLs contributing to HPC and the variance contribution of these QTLs will be instructive in mapping and identifying these genes.
Genetic Epidemiology | 2001
Kyriacos Markianos; Scott Carlson; Mark Gibbs
We present a joint linkage analysis of eight data sets collected for asthma. Three of the data sets are full genome scans, while the remaining five concentrate on a 40‐cM region on chromosome 5. We perform the analysis using one qualitative and one quantitative phenotype: asthma status and IgE level. Considering all data sets simultaneously, we do not find evidence for linkage to asthma affection status beyond the level expected to occur by chance twice per genome scan. In contrast, we observe significant linkage to IgE level on chromosome 6.
Nature Genetics | 2001
Mette A. Peters; Janet L. Stanford; Mike D. Badzioch; Suzanne Kolb; Marta Janer; Ellen L. Goode; Mark Gibbs; Leroy Hood; Elaine A. Ostrander; Gail P. Jarvik
Genome-wide scan for high-risk prostate cancer families with breast cancer reveals new loci for prostate cancer and breast cancer
Cancer Research | 1997
Janet L. Stanford; Jeanette J. Just; Mark Gibbs; Kristine G. Wicklund; Cassandra L. Neal; Brent A. Blumenstein; Elaine A. Ostrander
Genomics | 1997
Cathryn S. Mellersh; Amelia A. Langston; Gregory M. Acland; Melissa A. Fleming; Kunal Ray; Neil Wiegand; Leigh V. Francisco; Mark Gibbs; Gustavo D. Aguirre; Elaine A. Ostrander