Biomedical subjects

Bao-Li Chang

Publications and source records attributed to Bao-Li Chang.

10 recordsLinked to original sources

PubMed2004

Mutational analysis of PINX1 in hereditary prostate cancer.

BACKGROUND: Telomerase activity is increased in most tumors. PinX1 has recently been identified as a critical component in regulating telomerase activity. The PinX1 gene is located within chromosomal region 8p22-23, a region associated with LOH and potentially linked to increased prostate cancer risk. METHODS: PINX1 was re-sequenced in 159 hereditary prostate cancer (HPC) probands. Four non-synonymous coding variants were genotyped in 159 HPC families. RESULTS: Thirty-nine polymorphisms were identified in the HPC screening panel. Ten coding polymorphisms were identified, seven (Gln50His, Leu91Met, Gln206His, Arg215Ile, Thr220Ala, Ser254Cys, and Glu414Ala) of which were non-synonymous. The most common variants Thr220Ala and Ser254Cys were not significantly over-transmitted from affected parent to affected offspring. CONCLUSIONS: Based on these results, we conclude that PINX1 is not a major factor for HPC risk.

Cell Cycle Proteins↗

PubMed2004

Interaction effect of PTEN and CDKN1B chromosomal regions on prostate cancer linkage.

The tumor suppressor functions of PTEN and CDKN1B have been extensively characterized. Recent data from mouse models suggest that, for some organs, the combined action of both PTEN and CDKN1B has a stronger tumor suppressor function than each alone; for the prostate, heterozygous knockout of both genes leads to 100% penetrance for prostate cancer. To assess whether such an interaction contributes to an increased risk of prostate cancer in humans, we performed a series of epistatic PTEN and CDKN1B interaction analyses in a collection of 188 high-risk hereditary prostate cancer families. Two different analytical approaches were performed; a nonparametric linkage (NPL) regression analysis that simultaneously models allele sharing at these two regions in all families, and an ordered subset analysis (OSA) that assesses linkage evidence at a target region in a subset of families based on the magnitude of allele sharing at the reference region. The strongest evidence of interaction effect was observed at 10q23-24 and 12p11-13 from both the NPL regression analysis (P = 0.0002) in all families and the OSA analyses in subsets of families. A LOD-delta of 3.15 (P = 0.01) was observed at 10q23-24 among 54 families with the highest NPL scores at 12p11-13, and a LOD-delta of 2.63 (P = 0.02) was observed at 12p11-13 among 34 families with the highest NPL scores at 10q23-24. The evidence for the interaction was stronger when using additional fine-mapping markers in the PTEN (10q23) and CDKN1B (12p13) regions. Our data are consistent with epistatic interactions between the PTEN and CDKN1B genes affecting risk for prostate cancer and demonstrate the utility of modeling epistatic effects in linkage analysis to detect susceptibility genes of complex diseases.

Aged↗

PubMed2004

Identification of a prostate cancer susceptibility locus on chromosome 7q11-21 in Jewish families.

Results from over a dozen prostate cancer susceptibility genome-wide scans, encompassing some 1,500 hereditary prostate cancer families, indicate that prostate cancer is an extremely heterogeneous disease with multiple loci contributing to overall susceptibility. In an attempt to reduce locus heterogeneity, we performed a genomewide linkage scan for prostate cancer susceptibility genes with 36 Jewish families, which represent a stratification of hereditary prostate cancer families with potentially increased locus homogeneity. The 36 Jewish families represent a combined dataset of 17 Jewish families from the Fred Hutchinson Cancer Research Center-based Prostate Cancer Genetic Research Study dataset and 19 Ashkenazi Jewish families collected at Johns Hopkins University. All available family members, including 94 affected men, were genotyped at markers distributed across the genome with an average interval of <10 centimorgans. Nonparametric multipoint linkage analyses were the primary approach, although parametric analyses were performed as well. Our strongest signal was a significant linkage peak at 7q11-21, with a nonparametric linkage (NPL) score of 3.01 (P = 0.0013). Simulations indicated that this corresponds to a genomewide empirical P = 0.006. All other regions had NPL P values >/=0.02. After genotyping additional markers within the 7q11-21 peak, the NPL score increased to 3.35 (P = 0.0004) at D7S634 with an allele-sharing logarithm of odds of 3.12 (P = 0.00007). These studies highlight the utility of analyzing defined sets of families with a common origin for reducing locus heterogeneity problems associated with studying complex traits.

Adult↗

PubMed2003

Exploring pleiotropy using principal components.

A standard multivariate principal components (PCs) method was utilized to identify clusters of variables that may be controlled by a common gene or genes (pleiotropy). Heritability estimates were obtained and linkage analyses performed on six individual traits (total cholesterol (Chol), high and low density lipoproteins, triglycerides (TG), body mass index (BMI), and systolic blood pressure (SBP)) and on each PC to compare our ability to identify major gene effects. Using the simulated data from Genetic Analysis Workshop 13 (Cohort 1 and 2 data for year 11), the quantitative traits were first adjusted for age, sex, and smoking (cigarettes per day). Adjusted variables were standardized and PCs calculated followed by orthogonal transformation (varimax rotation). Rotated PCs were then subjected to heritability and quantitative multipoint linkage analysis. The first three PCs explained 73% of the total phenotypic variance. Heritability estimates were above 0.60 for all three PCs. We performed linkage analyses on the PCs as well as the individual traits. The majority of pleiotropic and trait-specific genes were not identified. Standard PCs analysis methods did not facilitate the identification of pleiotropic genes affecting the six traits examined in the simulated data set. In addition, genes contributing 20% of the variance in traits with over 0.60 heritability estimates could not be identified in this simulated data set using traditional quantitative trait linkage analyses. Lack of identification of pleiotropic and trait-specific genes in some cases may reflect their low contribution to the traits/PCs examined or more importantly, characteristics of the sample group analyzed, and not simply a failure of the PC approach itself.

Blood Pressure↗

PubMed2003

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.

Aged↗

PubMed2003

CYP17 polymorphisms in relation to risks of prostate cancer and benign prostatic hyperplasia: a population-based study in China.

Because androgens likely play a key role in prostate growth and prostate cancer development, variants of genes involved in androgen biosynthesis may be related to prostate cancer risk. The enzyme P450c17alpha, encoded by the CYP17 gene, catalyzes the conversion of progesterone and pregnenolone into precursors of potent androgens. In the 5' promoter region of the CYP17 gene, a T (A1 allele) to C substitution (A2 allele) has been hypothesized to increase CYP17 gene expression, resulting in higher levels of androgens. To investigate a possible role of CYP17 in prostate diseases, we evaluated the risk of prostate cancer and benign prostatic hyperplasia (BPH) in relation to variation in CYP17 genotype in a population-based case-control study conducted in Shanghai, China. The study included 174 prostate cancer cases, 182 BPH cases and 274 population controls. We observed no statistically significant overall associations of CYP17 genotypes with prostate cancer risk, although associations of the A1/A1 (odds ratio (OR) =1.42, 95% confidence interval (CI) 0.83-2.48) and A1/A2 (OR 1.41, 95% CI 0.91-2.17) genotypes with prostate cancer were suggested. A similar association of the A1/A1 genotype with BPH was suggested. We found no associations of CYP17 genotypes with serum sex hormone levels or other biomarkers after correction for multiple comparisons. Large population-based studies are needed to clarify whether CYP17 plays a role in prostate cancer risk and whether genotype effects vary in different racial/ethnic and other subgroups.

Aged↗

PubMed2003

Association between genetic polymorphisms in the prostate-specific antigen gene promoter and serum prostate-specific antigen levels.

BACKGROUND: Recent evidence suggests that genetic variation in the promoter of the prostate-specific antigen (PSA) gene may contribute to individual variation in serum PSA levels. However, polymorphisms associated with variations in PSA levels have not been identified. METHODS: We used the polymerase chain reaction to amplify the promoter region of the PSA genes (nucleotide positions -3873 to -5749 with respect to the start of transcription) of 409 healthy white men at risk for lung disease. Polymerase chain reaction products were sequenced to identify polymorphisms in the PSA gene promoter and to genotype the men for common single nucleotide polymorphisms (SNPs) and were cloned into luciferase reporter constructs to assay PSA promoter activity in human LNCaP prostate cancer cells. Analysis of variance was used to test the association of polymorphism frequencies with mean serum PSA levels. All statistical tests were two-sided. RESULTS: The -4643G/A SNP (G allele) had a 21.2% prevalence and was associated with increases in serum PSA levels (P =.017) and PSA promoter activity (P<.001). The -5412C/T SNP (C allele) had a 22.0% prevalence and was associated with an increase in serum PSA levels (P =.0015). The -5429T/G SNP (G allele) had a 23.0% prevalence, was associated with an increase in serum PSA levels (P =.021), and was in linkage disequilibrium with the -5412C/T SNP. The promoter activity of the -5412 C/-5429 G haplotype was higher than that of the -5412 T/-5429 T haplotype (P<.001). CONCLUSIONS: Genetic variations in the PSA promoter are associated with serum PSA levels in men without prostatic disease. PSA promoter genotype information may help to refine models of PSA cutoff values.

Aged↗

PubMed2003

Evaluation of SRD5A2 sequence variants in susceptibility to hereditary and sporadic prostate cancer.

BACKGROUND: The 5 alpha-reductase type II (SRD5A2) catalyzes the conversion of testosterone into the more potent androgen, dihydrotestosterone (DHT), and is thus believed to be the key enzyme for the control of intracellular DHT level in the prostate. Several single nucleotide polymorphisms (SNPs) in the SRD5A2 gene have been found to alter enzymatic activities and were associated with prostate cancer risk or clinical features in several case-control studies. However, the role of SRD5A2 sequence variants in the susceptibility to hereditary prostate cancer (HPC) has not been evaluated to date. METHODS: Three SNPs in the SRD5A2 gene (A49T, V89L, and C682G) and two microsatellite markers near SRD5A2 were genotyped in 159 HPC families to assess their linkage to prostate cancer. In addition, the three SNPs were also genotyped in 245 sporadic cases and 222 unaffected controls to assess their association with hereditary and sporadic prostate cancer. RESULTS: Weak evidence for linkage in the SRD5A2 chromosomal region was observed in the 159 HPC families (HLOD = 0.87, P = 0.04). Stronger evidence for linkage was observed in Caucasian families (HLOD = 1.10, P = 0.02). When stratified by the SNP A49T, no significant evidence for linkage was observed in families with or without the "T" allele. Similarly, family-based association tests failed to observe significant over-transmission of any risk alleles of SNPs A49T, V89L, and C682G to affected offspring. Finally, no significant differences in the distributions of SNPs A49T, V89L, and C682G were found among the HPC probands, sporadic cases, and controls. CONCLUSIONS: Polymorphisms of SRD5A2 are unlikely to significantly increase susceptibility to hereditary or sporadic prostate cancer in the study populations.

Aged↗

PubMed2002

Sequence variants in the human 25-hydroxyvitamin D3 1-alpha-hydroxylase (CYP27B1) gene are not associated with prostate cancer risk.

BACKGROUND: 1,25-dihydroxyvitamin D(3) has been shown to have antiproliferative properties on normal and neoplastic prostatic cells. 25-hydroxyvitamin D(3) 1-alpha-hydroxylase, the enzyme that catalyzes the final step of vitamin D synthesis, converting 25-hydroxyvitamin D(3) to 1,25-dihydroxyvitamin D(3), is expressed in the prostate. METHODS: The human 25-hydroxyvitamin D(3) 1-alpha-hydroxylase gene (CYP27B1) was resequenced in a case/control panel consisting of 64 individuals (48 Caucasians and 16 African Americans), with equal numbers of hereditary prostate cancer cases, sporadic cases, and unaffected controls. Three frequent single nucleotide polymorphisms (SNPs) were genotyped in 245 prostate cancer cases and 222 controls. RESULTS: Six noncoding SNPs were identified in the CYP27B1 gene. No significant difference was found in allele and genotype frequencies between sporadic cases and unaffected controls for the three genotyped SNPs. CONCLUSION: This study suggests that the CYP27B1 gene does not play a major role as a prostate cancer susceptibility gene.

25-Hydroxyvitamin D3 1-alpha-Hydroxylase↗

PubMed2002

Germline sequence variants of the LZTS1 gene are associated with prostate cancer risk.

The 8p22 through p23 region has been identified as a potential site for genes associated with prostate cancer. The gene LZTS1 has been mapped to the 8p22 through p23 region and identified as a potential tumor suppressor based on loss of heterozygosity studies using primary esophageal tumors. Sequence analysis of mRNA from various tumors has revealed multiple mutations and aberrant mRNA transcripts. The most recent report associates LZTS1 function with stabilization of p34(cdc2) during the late S-G2/M stage of mitosis, affecting normal cell growth. In this study, a detailed DNA sequence analysis of LZTS1 was performed in a screening panel consisting of sporadic and hereditary prostate cancer (HPC) cases and unaffected controls. Twenty-four SNP, 15 of which were novel, were identified in germline DNA. Four coding SNP were identified. Eleven informative SNP were genotyped in 159 HPC probands, 245 sporadic prostate cancer cases, and 222 unaffected controls. Four of these SNP were statistically significant for association with prostate cancer (P < or = 0.04). These results add evidence supporting a role of LZTS1 in prostate cancer risk.

Base Sequence↗