Biomedical subjects

Chien-Hsiun Chen

Publications and source records attributed to Chien-Hsiun Chen.

9 recordsLinked to original sources

PubMed2006

Long contiguous stretches of homozygosity in the human genome.

Single nucleotide polymorphisms (SNPs) are the most common sequence variation in the human genome; they have been successfully used in mapping disease genes and more recently in studying population genetics and cancer genetics. In a population-based association study using high-density oligonucleotide arrays for whole-genome SNP genotyping, we discovered that in the genomes of unrelated Han Chinese, 34 out of 515 (6.6%) individuals contained long contiguous stretches of homozygosity (LCSHs), ranging in the size from 2.94 to 26.27 Mbp (10.22+/-5.95 Mbp). Four out of four (100%) Taiwan aborigines also demonstrated this genetic characteristic. The number of LCSH regions increased markedly in the offspring of consanguineous marriages. LCSH was also detected in Caucasian samples (11/42; 26.2%) and African American samples (2/42; 4.76%). A total of 26 LCSH regions were recurrently detected among Han Chinese, Taiwan aborigines, and Caucasians. DNA copy number determination by hybridization intensity analysis and real-time quantitative PCR (qPCR) excluded deletion as the cause of LCSH. Our results suggest that LCSHs are common in the human genome of the outbred population and this genetic characteristic could have a significant impact on population genetics and disease gene studies.

Black or African American↗

PubMed2006

Glutamate decarboxylase genes and alcoholism in Han Taiwanese men.

OBJECTIVE: Glutamate decarboxylase (GAD), the rate-limiting enzyme in the synthesis of gamma-aminobutyric acid (GABA), may be involved in the development of alcoholism. This study examined the possible roles of the genes that code for 2 forms of GAD (GAD1 and GAD2) in the development of alcoholism. METHOD: An association study was conducted among 140 male alcoholic subjects meeting the DSM-III-R criteria for alcohol dependence and 146 controls recruited from the Han Taiwanese in community and clinical settings. Psychiatric assessment of drinking conditions was conducted using a Chinese version of the Schedules for Clinical Assessment in Neuropsychiatry. The SHEsis and Haploview programs were used in statistical analyses. RESULTS: Nine single-nucleotide polymorphisms (SNPs) at the GAD1 gene were valid for further statistics. Between alcoholic subjects and controls, significant differences were found in genotype distributions of SNP1 (p=0.000), SNP2 (p=0.015), SNP4 (p=0.015), SNP5 (p=0.031), SNP6 (p=0.012), and SNP8 (p=0.004) and in allele distributions of SNP1 (p=0.001), SNP2 (p=0.009), and SNP8 (p=0.009). Permutation tests of SNP1, SNP2, and SNP8 demonstrated significant differences in allele frequencies but not in 2 major haplotype blocks. Three valid SNPs at the GAD2 gene demonstrated no associations with alcoholism. Further permutation tests in the only 1 haplotype block or individual SNPs demonstrated no significant differences. CONCLUSIONS: This is the first report indicating a possible significant role of the GAD1 gene in the development of alcohol dependence and/or the course of alcohol withdrawal and outcome of alcoholism.

Adult↗

PubMed2005

Data mining of the GAW14 simulated data using rough set theory and tree-based methods.

Rough set theory and decision trees are data mining methods used for dealing with vagueness and uncertainty. They have been utilized to unearth hidden patterns in complicated datasets collected for industrial processes. The Genetic Analysis Workshop 14 simulated data were generated using a system that implemented multiple correlations among four consequential layers of genetic data (disease-related loci, endophenotypes, phenotypes, and one disease trait). When information of one layer was blocked and uncertainty was created in the correlations among these layers, the correlation between the first and last layers (susceptibility genes and the disease trait in this case), was not easily directly detected. In this study, we proposed a two-stage process that applied rough set theory and decision trees to identify genes susceptible to the disease trait. During the first stage, based on phenotypes of subjects and their parents, decision trees were built to predict trait values. Phenotypes retained in the decision trees were then advanced to the second stage, where rough set theory was applied to discover the minimal subsets of genes associated with the disease trait. For comparison, decision trees were also constructed to map susceptible genes during the second stage. Our results showed that the decision trees of the first stage had accuracy rates of about 99% in predicting the disease trait. The decision trees and rough set theory failed to identify the true disease-related loci.

Computer Simulation↗

PubMed2005

Construction of endophenotypes for complex diseases in the presence of heterogeneity.

Endophenotypes such as behavior disorders have been increasingly adopted in genetic studies for complex traits. For efficient gene mapping, it is essential that an endophenotype is associated with the disease of interest and is inheritable or co-segregating within families. In this study, we proposed a strategy to construct endophenotypes to analyze the Genetic Analysis Workshop 14 simulated dataset. Initially, generalized estimating equation models were employed to identify phenotypes that were correlated to the disease (affected status) in combination with the family structures in data. Endophenotypes were then constructed with consideration of heterogeneity as functions of the identified phenotypes. Genome scans on the constructed endophenotypes were carried out using family-based association analysis. For comparison, genome scans were also performed with the original affected status. The family-based association analysis using the endophenotypes correctly identified the same susceptible gene in about 80 of the 100 replicates.

Chromosomes, Human, Pair 3↗

PubMed2005

A novel functional VKORC1 promoter polymorphism is associated with inter-individual and inter-ethnic differences in warfarin sensitivity.

Warfarin, a commonly prescribed anticoagulant, exhibited large inter-individual and inter-ethnic differences in the dose required for its anticoagulation effect. Asian populations, including Chinese, require a much lower maintenance dose than Caucasians, for which the mechanisms still remain unknown. We determined DNA sequence variants in CYP2C9 and VKORC1 in 16 Chinese patients having warfarin sensitivity (< or = 1.5 mg/day, n = 11) or resistance (> or = 6.0 mg/day, n = 5), 104 randomly selected Chinese patients receiving warfarin, 95 normal Chinese controls and 92 normal Caucasians. We identified three CYP2C9 variants, CYP2C9*3, T299A and P382L, in four warfarin-sensitive patients. A novel VKORC1 promoter polymorphism (-1639 G > A) presented in the homozygous form (genotype AA) was found in all warfarin-sensitive patients. The resistant patients were either AG or GG. Among the 104 randomly selected Chinese patients receiving warfarin, AA genotype also had lower dose than the AG/GG genotype (P < 0.0001). Frequencies of AA, AG and GG genotypes were comparable in Chinese patients receiving warfarin (79.7, 17.6 and 2.7%) and normal Chinese controls (82, 18 and 0%), but differed significantly from Caucasians (14, 47 and 39%) (P < 0.0001). The promoter polymorphism abolished the E-box consensus sequences and dual luciferase assay revealed that VOKRC1 promoter with the G allele had a 44% increase of activity when compared with the A allele. The differences in allele frequencies of A/G allele and its levels of VKORC1 promoter activity may underscore the inter-individual differences in warfarin dosage as well as inter-ethnic differences between Chinese and Caucasians.

Adult↗

PubMed2005

HLA-B*5801 allele as a genetic marker for severe cutaneous adverse reactions caused by allopurinol.

Allopurinol, a commonly prescribed medication for gout and hyperuricemia, is a frequent cause of severe cutaneous adverse reactions (SCAR), which include the drug hypersensitivity syndrome, Stevens-Johnson syndrome, and toxic epidermal necrolysis. The adverse events are unpredictable and carry significant morbidity and mortality. To identify genetic markers for allopurinol-SCAR, we carried out a case-control association study. We enrolled 51 patients with allopurinol-SCAR and 228 control individuals (135 allopurinol-tolerant subjects and 93 healthy subjects from the general population), and genotyped for 823 SNPs in genes related to drug metabolism and immune response. The initial screen revealed strong association between allopurinol-SCAR and SNPs in the MHC region, including BAT3 (encoding HLA-B associated transcript 3), MSH5 (mutS homolog 5), and MICB (MHC class I polypeptide-related sequence B) (P < 10(-7)). We then determined the alleles of HLA loci A, B, C, and DRB1. The HLA-B*5801 allele was present in all (100%) 51 patients with allopurinol-SCAR, but only in 20 (15%) of 135 tolerant patients [odds ratio 580.3 (95% confidence interval, 34.4-9780.9); corrected P value = 4.7 x 10(-24)] and in 19 (20%) of 93 of healthy subjects [393.51 (23.23-6665.26); corrected P value = 8.1 x 10(-18)]. HLA alleles A*3303, Cw*0302, and DRB1*0301 were in linkage disequilibrium and formed an extended haplotype with HLA-B*5801. Our results indicated that allopurinol-SCAR is strongly associated with a genetic predisposition in Han Chinese. In particular, HLA-B*5801 allele is an important genetic risk factor for this life-threatening condition.

Aged↗

PubMed2004

Association between transforming growth factor-beta1 gene C-509T and T869C polymorphisms and rheumatic heart disease.

BACKGROUND: Scarring and collagen deposition in the valves and destruction of myocytes may result from the combined effects of a smoldering rheumatic process and a constant trauma to the mitral valve or aortic valve by the turbulent flow in rheumatic heart disease (RHD). Transforming growth factor-beta1 (TGF-beta1) may be responsible for the increased valvular fibrosis and calcification in the pathogenesis of RHD. However, the role of TGF-beta1 genetic variant in RHD has not been studied. This case-controlled study was carried out to investigate the possible relationship between the TGF-beta1 gene C-509T and T869C polymorphisms and RHD among the Chinese population in Taiwan. METHODS: A group of 115 patients with RHD documented by using echocardiography and 100 age- and sex-matched healthy control patients were studied. TGF-beta1 gene C-509T and T869C polymorphisms were identified with polymerase chain reaction-based restriction analysis. RESULTS: A significant difference was seen in the distribution of genotypes between patients with RHD and control patients for either TGF-beta1 C-509T polymorphism (P <.0001) or T869C polymorphism (P <.0001). The frequency of TGF-beta1 C-509T CC genotype was lower in the RHD group than in the control group (chi2 = 19.05, P <.0001), which suggests that this genotype may confer protective effects against RHD. A significant difference was seen in the distribution of allelic frequency between patients with RHD and control patients for TGF-beta1 T869C polymorphism (P =.04). The odds ratio (OR) for risk of RHD associated with TGF-beta1 T869C T allele was 1.49 (95% CI, 1.02-2.19). Further categorization of patients with RHD into mitral valve disease and combined valve disease subgroups revealed no statistical difference in these gene polymorphisms when compared with the 2 subgroups. CONCLUSIONS: Patients with RHD have a lower frequency of TGF-beta1 C-509T CC genotype and a higher frequency of T869C T allele, which supports a role for the TGF-beta1 gene C-509T and T869C polymorphisms in determining the risk/protection of RHD in Taiwan Chinese patients.

Adult↗

PubMed2003

A genome-wide scan using tree-based association analysis for candidate loci related to fasting plasma glucose levels.

BACKGROUND: In the analysis of complex traits such as fasting plasma glucose levels, researchers often adjust the trait for some important covariates before assessing gene susceptibility, and may at times encounter confounding among the covariates and the susceptible genes. Previously, the tree-based method has been employed to accommodate the heterogeneity in complex traits. In this study, we performed a genome-wide screen on fasting glucose levels in the offspring generation of the Framingham Heart Study provided by the Genetic Analysis Workshop 13. We defined one quantitative trait and converted it to a dichotomous trait based on a predetermined cut-off value, and performed association analyses using regression and classification trees for the two traits, respectively. A marker was interpreted as positive if at least one of its alleles exhibited association in both analyses. Our purpose was to identify candidate genes susceptible to fasting glucose levels in the presence of other covariates. The covariates entered in the analysis including sex, body mass index, and lipids (total plasma cholesterol, high density lipoprotein cholesterol, and triglycerides) of the subjects, and those of their parents. RESULTS: Four out of seven positive regions in chromosomes 1, 2, 6, 11, 16, 18, and 19 from our analyses harbored or were very close to previously reported diabetes related genes or potential candidate genes. CONCLUSION: This screen method that employed tree-based association showed promise for identifying candidate loci in the presence of covariates in genome scans for complex traits.

Adult Children↗

PubMed2002

Segregation analysis of blood pressure and body mass index in a rural US community.

To assess evidence for a gene with large effect on systolic blood pressure (SBP), diastolic blood pressure (DBP), and body mass index (BMI), we conducted segregation analyses on 261 nuclear families collected from a rural Caucasian community in Michigan. The families were ascertained through a hypertensive proband. Each phenotype was adjusted for significant covariate effects (e.g., gender and age). We used class D regressive models to conduct the segregation analyses. Our analysis results support the segregation of a major gene for BMI, but not for SBP or DBP. A recessive locus effect provided the best explanation for BMI where approximately 43% of the variance of BMI was due to this gene.

Adult↗