Many researchers have found that one of the most important characteristics of the structure of linkage disequilibrium is that the human genome can be divided into non-overlapping block partitions in which only a small number of haplotypes are observed. The location and distribution of haplotype blocks can be seen as a population property influenced by population genetic events such as selection, mutation, recombination and population structure. In this study, we investigate the effects of the density of markers relative to the full set of all polymorphisms in the region on the results of haplotype partitioning for five popular haplotype block partition methods: three methods in Haploview (confidence interval, four gamete test, and solid spine), MIG++ implemented in PLINK 1.9 and S-MIG++. We used several experimental datasets obtained by sampling subsets of single nucleotide polymorphism (SNP) markers of chromosome 22 region in the 1000 Genomes Project data and also the HapMap phase 3 data to compare the results of haplotype block partitions by five methods. With decreasing sampling ratio down to 20% of the original SNP markers, the total number of haplotype blocks decreases and the length of haplotype blocks increases for all algorithms. When we examined the marker-independence of the haplotype block locations constructed from the datasets of different density, the results using below 50% of the entire SNP markers were very different from the results using the entire SNP markers. We conclude that the haplotype block construction results should be used and interpreted carefully depending on the selection of markers and the purpose of the study.
Chromosomes, Human, Pair 22 ; Dataset ; Genome ; Genome, Human ; Haplotypes* ; HapMap Project ; Humans ; Linkage Disequilibrium ; Polymorphism, Single Nucleotide* ; Recombination, Genetic

Single-nucleotide polymorphisms (SNPs) have been emerging out of the efforts to research human diseases and ethnic disparities. A semantic network is needed for in-depth understanding of the impacts of SNPs, because phenotypes are modulated by complex networks, including biochemical and physiological pathways. We identified ethnicity-specific SNPs by eliminating overlapped SNPs from HapMap samples, and the ethnicity-specific SNPs were mapped to the UCSC RefGene lists. Ethnicity-specific genes were identified as follows: 22 genes in the USA (CEU) individuals, 25 genes in the Japanese (JPT) individuals, and 332 genes in the African (YRI) individuals. To analyze the biologically functional implications for ethnicity-specific SNPs, we focused on constructing a semantic network model. Entities for the network represented by "Gene," "Pathway," "Disease," "Chemical," "Drug," "ClinicalTrials," "SNP," and relationships between entity-entity were obtained through curation. Our semantic modeling for ethnicity-specific SNPs showed interesting results in the three categories, including three diseases ("AIDS-associated nephropathy," "Hypertension," and "Pelvic infection"), one drug ("Methylphenidate"), and five pathways ("Hemostasis," "Systemic lupus erythematosus," "Prostate cancer," "Hepatitis C virus," and "Rheumatoid arthritis"). We found ethnicity-specific genes using the semantic modeling, and the majority of our findings was consistent with the previous studies - that an understanding of genetic variability explained ethnicity-specific disparities.
Asian Continental Ancestry Group ; Ethnic Groups ; HapMap Project* ; Humans ; Phenotype ; Polymorphism, Single Nucleotide* ; Semantics*

Recently, new methods have been developed for estimating the current and recent changes in effective population sizes. Based on the methods, the effective population sizes of Korean populations were estimated using data from the Korean Association Resource (KARE) project. The overall changes in the population sizes of the total populations were similar to CHB (Han Chinese in Beijing, China) and JPT (Japanese in Tokyo, Japan) of the HapMap project. There were no differences in past changes in population sizes with a comparison between an urban area and a rural area. Age-dependent current and recent effective population sizes represent the modern history of Korean populations, including the effects of World War II, the Korean War, and urbanization. The oldest age group showed that the population growth of Koreans had already been substantial at least since the end of the 19th century.
Asian Continental Ancestry Group ; HapMap Project ; History, Modern 1601- ; Humans ; Korean War ; Linkage Disequilibrium ; Population Density* ; Population Growth ; Rural Population ; Urban Population ; Urbanization ; World War II

OBJECTIVETo explore the feasibility of applying autosomal single nucleotide polymorphisms (SNPs) on parentage testing.

METHODSAll SNP genotyping results of HapMap (r27) were downloaded from the website. With self-made computer programs, SNPs were extracted when their minor allele frequency (MAF) were ≥ 0.30 among all of the 11 HapMap populations. Ninety-six SNPs were chosen and integrated into the Illumina Goldengate bead arrays on the condition that no linkage disequilibrium was found between them. Three father-child-mother trios (9 samples in total) were tested with the arrays. Cumulative paternity index (CPI) was then calculated and compared with genotyping results using 15 short tandem repeats (STRs)(Identifiler(TM)).

RESULTSFamily 1 was found to have nine SNPs or seven STRs that did not conform to the Mendelian laws, Family 2 had 13 such SNPs or seven STRs, and Family 3 only had one such SNP but no STR. For Family 3, when all of the 96 SNPs were used in combine, the CPI was 1207, which had contrasted with the CPI by the 15 STRs, i.e., 355 869.

CONCLUSIONWhen applied to paternity testing, the paternity exclusion (PE) value for a SNP is usually less than 1/3 of that of a STR. The proportion of SNPs not comforming to the Mendelian laws for the tested SNPs may not be as high as that of inconsistent STRs over all tested STRs. Because of the low mutation rate of a SNP, the CPI will be greatly reduced even if one SNP did not conform to the Mendelian laws. Therefore, highly accurate testing methods are required to reduce artificial errors when applying SNPs for paternity testing.

Fathers ; Female ; Genetic Testing ; methods ; Genotype ; HapMap Project ; Humans ; Male ; Mothers ; Paternity ; Polymorphism, Single Nucleotide ; genetics

Recent rapid advances in genetic research are ushering us into the genome sequence era, where an individual's genome information is utilized for clinical practice. The most spectacular results of the human genome study have been provided by genome-wide association studies (GWASs). This is a review of the history of GWASs as related to my work. Further efforts are necessary to make full use of its potential power to medicine.
Genetic Research ; Genome ; Genome, Human ; Genome-Wide Association Study ; HapMap Project ; Human Genome Project ; Humans

Most psychiatric disorders are some kinds of complex genetic traits. Identifying the causal genes of psychiatric disorders has been challenging. Through recent revolutionary advances, such as the HapMap Project and the development of high-throughput genotyping chips, the genome-wide association study (GWAS) has recently become possible and is now in the spotlight in psychiatric genetics. In this article, we reviewed the concepts, rationale, designs and general steps of GWAS, and also introduced a few previous GWAS of several psychiatric disorders.
Genome-Wide Association Study ; HapMap Project

Most psychiatric disorders are some kinds of complex genetic traits. Identifying the causal genes of psychiatric disorders has been challenging. Through recent revolutionary advances, such as the HapMap Project and the development of high-throughput genotyping chips, the genome-wide association study (GWAS) has recently become possible and is now in the spotlight in psychiatric genetics. In this article, we reviewed the concepts, rationale, designs and general steps of GWAS, and also introduced a few previous GWAS of several psychiatric disorders.
Genome-Wide Association Study ; HapMap Project

The human genomic project and the international HapMap project were designed to create a genome-wide database of patterns of human genetic variation, with the expectation that these patterns would be useful for genetic association studies of common diseases, thus lead to molecular diagnosis and personnel therapy. The article briefly reviewed the creation, target and achievement of those two projects. Furthermore, the authors have given four suggestions in facing to the opportunities and challenges brought by the two projects, including cultivation improvement of elites, cross binding of multi-subjects, strengthening construction of research base and initiation of natural key scientific project.
Genome, Human ; Genomics ; HapMap Project ; Humans ; Oral Medicine

Sequences from the clones of full-length enriched cDNA libraries serve as valuable resources for functional genomics related studies, genome annotation and SNP discovery. We analyzed 7,392 high-quality chromatograms (Phred value >30) obtained from sequencing the 5' ends of clones derived from full-length enriched cDNA libraries of Korean native pigs including brainstem, liver, cerebellum, neocortex and spleen libraries. In addition, 50,000 EST sequence trace files obtained from GenBank were combined with our sequences to identify cSNPs in silico. The process generated 11,324 contigs, of which 2,895 contigs contained at least one SNP and among them 610 contigs had a minimum of one sequence from Korean native pigs. Of 610 contigs, we randomly selected 262 contigs and performed in silico analysis for the identification of cSNPs. From the results, we identified 1,531 putative coding single nucleotide polymorphisms (cSNPs) and the SNP detection frequency was one SNP per 465 bp. A large-scale sequencing result of clones from full-length enriched cDNA libraries and identified cSNPs will serve as a useful resource to functional genomics related projects such as a pig HapMap project in the near future
Brain Stem ; Cerebellum ; Clinical Coding ; Clone Cells ; Computer Simulation ; Databases, Nucleic Acid ; DNA, Complementary ; Gene Library ; Genome ; Genomics ; HapMap Project ; Liver ; Neocortex ; Polymorphism, Single Nucleotide ; Spleen ; Swine

Genome-wide association (GWA) studies may benefit from the inclusion of imputed SNPs into their dataset. Due to its predictive nature, the imputation process is typically not perfect. Thus, it would be desirable to develop a scheme for filtering out the imputed SNPs by maximizing the concordance with the observed genotypes. We report such a scheme, which is based on the combination of several parameters that are calculated by PLINK, a popular GWA analysis software program. We imputed the genotypes of 8,842 Korean individuals, based on approximately 2 million SNP genotypes of the CHB+JPT panel in the International HapMap Project Phase II data, complementing the 352k SNPs in the original Affymetrix 5.0 dataset. A total of 333,418 SNPs were found in both datasets, with a median concordance rate of 98.7%. The concordance rates were calculated at different ranges of parameters, such as the number of proxy SNPs (NPRX), the fraction of successfully imputed individuals (IMPUTED), and the information content (INFO). The poor concordance that was observed at the lower values of the parameters allowed us to develop an optimal combination of the cutoffs (IMPUTED> or =0.9 and INFO> or =0.9). A total of 1,026,596 SNPs passed the cutoff, of which 94,364 were found in both datasets and had 99.4% median concordance. This study illustrates a conservative scheme for filtering imputed SNPs that would be useful in GWA studies
Complement System Proteins ; Genome-Wide Association Study ; Genotype ; HapMap Project ; Humans ; Polymorphism, Single Nucleotide ; Proxy