No abstract available.
Genetic Testing

No abstract available.
Adenosine Triphosphatases/*genetics ; Amino Acid Substitution ; Cation Transport Proteins/*genetics ; Genotype ; Haplotypes ; Hepatolenticular Degeneration/diagnosis/*genetics ; Humans ; Mutation ; Republic of Korea

The prediction of externally visible characteristics from DNA has been studied for forensic genetics over the last few years. Externally visible characteristics include hair, skin, and eye color, height, and facial morphology, which have high heritability. Recent studies using genome-wide association analysis have identified genes and variations that correlate with human visible phenotypes and developed phenotype prediction programs. However, most prediction models were constructed and validated based on genotype and phenotype information on Europeans. Therefore, we need to validate prediction models in diverse ethnic populations. In this study, we selected potentially useful variations for forensic science that are associated with hair and eye color, iris pattern, and facial morphology, based on previous studies, and analyzed their frequencies in 1,920 Koreans. Among 20 single nucleotide polymorphisms (SNPs), 10 SNPs were polymorphic, 6 SNPs were very rare (minor allele frequency < 0.005), and 4 SNPs were monomorphic in the Korean population. Even though the usability of these SNPs should be verified by an association study in Koreans, this study provides 10 potential SNP markers for forensic science for externally visible characteristics in the Korean population.
DNA ; Eye Color ; Forensic Genetics ; Forensic Sciences ; Gene Frequency ; Genotype ; Hair ; Hair Color ; Humans ; Iris ; Phenotype ; Polymorphism, Single Nucleotide ; Skin

C-terminal SRC kinase (CSK) is a ubiquitously expressed, cytosolic enzyme that phosphorylates and inactivates several SRC family protein tyrosine kinases. Recent genomewide association studies have implicated CSK in the regulation of blood pressure. The current study aim is to determine the blood pressure association of the genes regulated by CSK down-regulation. The CSK mRNA expression was downregulated in vascular smooth muscle cells using small interfering RNA (siRNA). CSK mRNA levels fell by 90% in cells that were treated with CSK siRNA; the RNA from these cells was examined by microarray using the Illumina HumanRef-8 v3 platform, which comprises 24,526 reference mRNA probes. On treatment with CSK siRNA, 19 genes were downregulated by more than 2-fold and 13 genes were upregulated by more than 2-fold. Three (CANX, SLC30A7, and HMOX1) of them revealed more than 3 fold differential expression. Interestingly, the HMOX1 SNPs were associated with diastolic blood pressure in the 7551 Koreans using Korea Association REsource data, and the result was supported by the other reports that HMOX1 linked to blood vessel maintenance. Among the remaining 29 differentially expressed genes, seven (SSBP1, CDH2, YWHAE, ME2, PFTK1, G3BP2, and TUFT1) revealed association with both systolic and diastolic blood pressures. The CDH2 gene was linked to blood pressures. Conclusively, we identified 32 differentially expressed genes which were regulated by CSK reduction, and two (HOMX1 and CDH2) of them might influence the blood pressure regulation through CSK pathway.
Blood Pressure ; Blood Vessels ; Cytosol ; Down-Regulation ; Glycosaminoglycans ; Humans ; Korea ; Muscle, Smooth, Vascular ; Phosphotransferases ; Polymorphism, Single Nucleotide ; Protein-Tyrosine Kinases ; RNA ; RNA, Messenger ; RNA, Small Interfering ; src-Family Kinases

Fibrinogen alpha chain (FGA), a subunit of fibrinogen, might be a potential player for type 2 diabetes mellitus (T2DM), since the plasma levels of fibrinogen is known to be related to the incidence of T2DM. To elucidate the potential role of FGA in T2DM, we investigated whether FGA genetic variations are relevant in T2DM in the Korean population. Seven FGA single nucleotide polymorphisms (SNPs) were genotyped in Ansung and Ansan cohorts (474 T2DM subjects and 470 normal controls) in Korea. The association between SNPs and T2DM was determined by logistic regression analysis. Genetic relevance of SNPs to T2DM-related phenotypes was investigated by multiple linear regression analysis. Statistical analysis revealed that among seven FGA SNPs, significant associations with T2DM were observed in FGA rs2070011 (p=0.013-0.034, OR=0.72~ 0.79), rs6050 (p=0.026~0.048, OR=1.24~1.37), and rs2070022 (p=0.016~0.039, OR=0.70~0.72). Two SNPs, rs2070011 and rs6050, also showed significant association with T2DM-related phenotypes such as triglyceride (p=0.005~0.011 for rs2070011 and p=0.003~0.008 for rs6050), total cholesterol (p=0.01 for rs2070011 and p=0.024 for rs6050) and fasting glucose (p=0.035~ 0.036 for rs2070011 and p=0.048 for rs6050) in 470 normal controls. Our association study implies that FGA might be an important genetic factor in T2DM pathogenesis in the Korean population by affecting plasma lipid and glucose levels.
Cholesterol ; Cohort Studies ; Diabetes Mellitus, Type 2 ; Fasting ; Fibrinogen ; Genetic Variation ; Glucose ; Incidence ; Korea ; Linear Models ; Logistic Models ; Phenotype ; Plasma ; Polymorphism, Single Nucleotide

Recent genomewide association studies of large samples have identified genes that are associated with blood pressure. The Global Blood Pressure Genetics (Global BPgen) and Cohorts for Heart and Aging Research in Genome Epidemiology (CHARGE) consortiums identified 14 loci that govern blood pressure on a genomewide significance level, one of which is CASZ1 confirmed in both Europeans and Asians. CASZ1 is a zinc finger transcription factor that controls apoptosis and cell fate and suppresses neuroblastoma tumor growth by reprogramming gene expression, like a tumor suppressor. To validate the function of CASZ1 in blood pressure, we decreased Casz1 mRNA levels in mice by siRNA. Casz1 siRNA reduced mRNA levels by 59% in a mouse cell line. A polyethylenimine-mixed siRNA complex was injected into mouse tail veins, reducing Casz1 mRNA expression to 45% in the kidney. However, blood pressure in the treated mice was unaffected, despite a 55% reduction in Casz1 mRNA levels in the kidney on multiple siRNA injections daily. Even though Casz1 siRNA-treated mice did not experience any significant change in blood pressure, our study demonstrates the value of in vivo siRNA injection in analyzing the function of candidate genes identified by genomewide association studies.
Aging ; Animals ; Apoptosis ; Asian Continental Ancestry Group ; Blood Pressure ; Cell Line ; Cohort Studies ; Gene Expression ; Genome ; Heart ; Humans ; Kidney ; Mice ; Neuroblastoma ; RNA, Messenger ; RNA, Small Interfering ; Transcription Factors ; Veins ; Zinc Fingers

Oxidative stress, which results in an excessive product of reactive oxygen species (ROS), is one of the fundamental mechanisms of the development of hypertension. In the vascular system, ROS have physical and pathophysiological roles in vascular remodeling and endothelial dysfunction. In this study, ROS-hypertension-related genes were collected by the biological literature-mining tools, such as SciMiner and gene2pubmed, in order to identify the genes that would cause hypertension through ROS. Further, single nucleotide polymorphisms (SNPs) located within these gene regions were examined statistically for their association with hypertension in 6,419 Korean individuals, and pathway enrichment analysis using the associated genes was performed. The 2,945 SNPs of 237 ROS-hypertension genes were analyzed, and 68 genes were significantly associated with hypertension (p < 0.05). The most significant SNP was rs2889611 within MAPK8 (p = 2.70 x 10(-5); odds ratio, 0.82; confidence interval, 0.75 to 0.90). This study demonstrates that a text mining approach combined with association analysis may be useful to identify the candidate genes that cause hypertension through ROS or oxidative stress.
Data Mining ; Genetic Association Studies ; Hypertension ; Mining ; Odds Ratio ; Oxidative Stress ; Oxygen ; Polymorphism, Single Nucleotide ; Reactive Oxygen Species

During the last decade, large community cohorts have been established by the Korea National Institutes of Health (KNIH), and enormous epidemiological and clinical data have been accumulated. Using these information and samples in the cohorts, KNIH set out to do a large-scale genome-wide association study (GWAS) in 2007, and the Korea Association REsource (KARE) consortium was launched to analyze the data to identify the underlying genetic risk factors of diseases and diverse health indexes, such as blood pressure, obesity, bone density, and blood biochemical traits. The consortium consisted of 6 research divisions, formed by 25 principal investigators in 19 organizations, including 18 universities, 2 institutes, and 1 company. Each division focused on one of the following subjects: the identification of genetic factors, the statistical analysis of gene-gene interactions, the genetic epidemiology of gene-environment interactions, copy number variation, the bioinformatics related to a GWAS, and a GWAS of nutrigenomics. In this special issue, the study results of the KARE consortium are provided as 9 articles. We hope that this special issue might encourage the genomics community to share data and scientists, including clinicians, to analyze the valuable Korean data of KARE.
Academies and Institutes ; Blood Pressure ; Bone Density ; Coat Protein Complex I ; Cohort Studies ; Computational Biology ; Gene-Environment Interaction ; Genome-Wide Association Study ; Genomics ; Humans ; Korea ; Molecular Epidemiology ; National Institutes of Health (U.S.) ; Nutrigenomics ; Obesity ; Research Personnel ; Risk Factors

Most common diseases are caused by multiple genetic and environmental factors. Among the genetic factors, single nucleotide polymorphisms (SNPs) are common DNA sequence variations in individuals and can serve as important genetic markers. Recently, investigations of gene-based and whole genome-based SNPs have been applied to association studies for marker discovery. However, SNPs are so population-specific that the association needs to be verified. Fifty-five genes and 384 SNPs were selected based on association with disease. Genotypes of 337 SNPs in candidate genes were determined using Illumina Sentrix Array Matrix (SAM) chips by an allelespecific extension method in 364 unrelated Korean individuals. Allelic frequencies of SNPs were compared with those of other populations obtained from the International HapMap database. Minor allele frequencies, linkage disequilibrium blocks, tagSNPs, and haplotypes of functional candidate SNPs in 55 genetic disease-associated genes were provided. Our data may provide useful information for the selection of genetic markers for genebased genetic disease-association studies of the Korean population.
Base Sequence ; Gene Frequency ; Genetic Markers ; Genotype ; Haplotypes ; HapMap Project ; Linkage Disequilibrium ; Polymorphism, Single Nucleotide*

The human genome has evolved as a consequence of evolutionary forces, such as natural selection. In this study, we investigated natural selection on the human genes by comparing the numbers of nonsynonymous(NS) and synonymous (S) mutations in individual genes. We initially collected all coding SNP data of all human genes from the public dbSNP. Among the human genes, we selected 3 different selection groups of genes: positively selected genes (NS/S > or = 3), negatively selected genes (NS/S < or = 1/3) and neutral selection genes (0.9 < NS/S < 1.1). We characterized human genes targeted by natural selection. Negatively selected human genes were markedly associated with disease occurrence, but not positively selected genes. Interestingly, positively selected genes displayed an increase in potentially deleterious nonsynonymous SNPs with an increased frequency of tryptophan and tyrosine residues, suggesting a correlation with protective effects against human disease. Furthermore, our nonsynonymous/synonymous ratio data imply that specific human genes, such as ALMS1 and SPTBN5 genes, are differentially selected among distinct populations. We confirmed that inferences of natural selection using the NS/S ratio can be used extensively to identify functional genes selected during the evolutionary adaptation process.
Clinical Coding ; Genome, Human ; Humans ; Polymorphism, Single Nucleotide ; Selection, Genetic ; Tryptophan ; Tyrosine