Biomedical subjects

David V Conti

Publications and source records attributed to David V Conti.

23 records · Page 2Linked to original sources

PubMed2003

Hierarchical modeling of linkage disequilibrium: genetic structure and spatial relations.

Linkage disequilibrium (LD) mapping offers much promise for the positional cloning of disease-causing genes. However, conventional estimates of LD may fluctuate substantially across contiguous genomic regions, because of population-specific phenomena such as mutation, genetic drift, population structure, and variations in allele frequencies. This fluctuation makes it difficult to interpret patterns of LD and distinguish where a causal gene is located. To address this issue, we propose hierarchical modeling of LD (HLD) for fine-scale mapping. This approach incorporates information on haplotype block structure and chromosomal spatial relations to refine the pattern of LD, increasing the ability to localize disease genes. Here, we present a framework for HLD, a simulation study assessing the performance of HLD under various scenarios, and an application of HLD to existing data. This work demonstrates that hierarchical modeling of linkage disequilibrium is a valuable and flexible approach for fine-scale mapping.

Chromosome Mapping↗

PubMed2003

Prostate cancer aggressiveness locus on chromosome segment 19q12-q13.1 identified by linkage and allelic imbalance studies.

Whole-genome scan studies recently identified a locus on chromosome segments 19q12-q13.11 linked to prostate tumor aggressiveness by use of the Gleason score as a quantitative trait. We have now completed finer-scale linkage mapping across this region that confirmed and narrowed the candidate region to 2 cM, with a peak between markers D19S875 and D19S433. We also performed allelic imbalance (AI) studies across this region in primary prostate tumors from 52 patients unselected for family history or disease status. A high level of AI was observed, with the highest rates at markers D19S875 (56%) and D19S433 (60%). Furthermore, these two markers defined a smallest common region of AI of 0.8 Mb, with 15 (29%) prostate tumors displaying interstitial AI involving one or both markers. In addition, we noted a positive association between AI at marker D19S875 and extension of tumor beyond the margin (P = 0.02) as well as a higher Gleason score (P = 0.06). These data provide strong evidence that we have mapped a prostate tumor aggressiveness locus to chromosome segments 19q12-q13.11 that may play a role in both familial and non-familial forms of prostate cancer.

Aged↗

PubMed2003

Bayesian modeling of complex metabolic pathways.

Many chronic diseases are the result of a complex sequence of biochemical reactions involving exposures to various environmental agents, metabolized by a number of different genes. Routine epidemiologic analyses of such associations have tended to rely on standard contingency table or logistic regression methods, typically focusing on one variable at a time or pairwise combinations. We consider two statistical alternatives to this approach, one based on Bayesian model averaging, one based on pharmacokinetic modeling of the biochemical pathways. These approaches are illustrated using data from a case-control study of colorectal polyps in relation to tobacco smoking and consumption of well done red meat, both viewed as sources of heterocyclic amines and polycyclic aromatic hydrocarbons. The new analyses are structured in a manner that attempts to take advantage of prior knowledge of the metabolism of these classes of compounds and the various genes that regulate these pathways.

Bayes Theorem↗

PubMed2003

CYP3A4 and CYP3A5 genotypes, haplotypes, and risk of prostate cancer.

Previous case-only studies have shown that men with the CYP3A4*1B promoter variant are at an increased risk of developing more aggressive forms of prostate cancer. However, no changes in CYP3A4 activity have been found in CYP3A4*1B carriers, suggesting that its association with disease may simply reflect linkage disequilibrium with another functional variant. CYP3A5 is located within 200 kb of CYP3A4, and a variant in CYP3A5 (*1/*3) correlates with function of the CYP3A5 enzyme. In this study, the potential effect of CYP3A4*1B and CYP3A5*1 on prostate cancer risk and aggressiveness were evaluated in a family-based case-control population. The CYP3A4*1B variant was positively associated with prostate cancer among Caucasians with more aggressive disease [odds ratio (OR), 1.91; 95% confidence interval (CI), 1.02-3.57; P=0.04], and inversely associated with risk among Caucasians with less aggressive disease (OR, 0.08; 95% CI, 0.01-0.49; P=0.006) and men with an age of diagnosis <63 (OR, 0.51; 95% CI, 0.26-1.00; P=0.05). The CYP3A5*1 variant was inversely associated with prostate cancer, especially among Caucasians with less aggressive disease (OR, 0.42; 95% CI, 0.22-0.78; P=0.006). As expected based on these genotype-level results, the CYP3A4*1B/CYP3A5*3 haplotype was positively associated with disease (OR, 2.91; 95% CI, 1.36-6.23; P=0.006), and the CYP3A4*1B/CYP3A5*1 haplotype was inversely associated with risk among Caucasians with less aggressive disease (OR, 0.07; 95% CI, 0.01-0.51; P=0.009). These findings suggest that the CYP3A4 and CYP3A5 variants, or other alleles on the haplotypes they help distinguish, are associated with prostate cancer risk and aggressiveness.

Age Factors↗

PubMedDate not supplied

Prostate cancer aggressiveness locus on chromosome 7q32-q33 identified by linkage and allelic imbalance studies.

The biologic aggressiveness of prostate tumors is an important indicator of prognosis. Chromosome 7q32-q33 was recently reported to show linkage to more aggressive prostate cancer, based on Gleason score, in a large sibling pair study. We report confirmation and narrowing of the linked region using finer-scale genotyping. We also report a high frequency of allelic imbalance (AI) defined within this locus in a series of 48 primary prostate tumors from men unselected for family history or disease status. The highest frequency of AI was observed with adjacent markers D7S2531 (52%) and D7S1804 (36%). These two markers delineated a common region of AI, with 24 tumors exhibiting interstitial AI involving one or both markers. The 1.1-Mb candidate region contains relatively few transcripts. Additionally, we observed positive associations between interstitial AI at D7S1804 and early age at diagnosis (P=.03) as well as a high combined Gleason score and tumor stage (P=.06). Interstitial AI at D7S2531 was associated with a positive family history of prostate cancer (P=.05). These data imply that we have localized a prostate cancer tumor aggressiveness loci to chromosome 7q32-q33 that is involved in familial and nonfamilial forms of prostate cancer.

Aged↗