China ; Human Genome Project ; Humans ; International Cooperation

Population genetic and human genetic studies are being accelerated with genome technology and data sharing. Accordingly, in the past 10 years, several countries have initiated genetic research using genome technology and identified the genetic architecture of the ethnic groups living in the corresponding country or suggested the genetic foundation of a social phenomenon. Genetic research has been conducted from epidemiological studies that previously described the health or disease conditions in defined population. This perspective summarizes national genome projects conducted in the past 10 years and introduces case studies to utilize genomic data in genetic research.
Epidemiologic Studies ; Ethnic Groups ; Genetic Research ; Genetics ; Genome ; Genome, Human* ; Genomics ; Human Genome Project* ; Humans ; Humans* ; Information Dissemination

Population genetic and human genetic studies are being accelerated with genome technology and data sharing. Accordingly, in the past 10 years, several countries have initiated genetic research using genome technology and identified the genetic architecture of the ethnic groups living in the corresponding country or suggested the genetic foundation of a social phenomenon. Genetic research has been conducted from epidemiological studies that previously described the health or disease conditions in defined population. This perspective summarizes national genome projects conducted in the past 10 years and introduces case studies to utilize genomic data in genetic research.
Epidemiologic Studies ; Ethnic Groups ; Genetic Research ; Genetics ; Genome ; Genome, Human ; Genomics ; Human Genome Project ; Humans ; Humans ; Information Dissemination

This article is a mini-review that provides a general overview for next-generation sequencing (NGS) and introduces one of the most popular NGS applications, whole genome sequencing (WGS), developed from the expansion of human genomics. NGS technology has brought massively high throughput sequencing data to bear on research questions, enabling a new era of genomic research. Development of bioinformatic software for NGS has provided more opportunities for researchers to use various applications in genomic fields. De novo genome assembly and large scale DNA resequencing to understand genomic variations are popular genomic research tools for processing a tremendous amount of data at low cost. Studies on transcriptomes are now available, from previous-hybridization based microarray methods. Epigenetic studies are also available with NGS applications such as whole genome methylation sequencing and chromatin immunoprecipitation followed by sequencing. Human genetics has faced a new paradigm of research and medical genomics by sequencing technologies since the Human Genome Project. The trend of NGS technologies in human genomics has brought a new era of WGS by enabling the building of human genomes databases and providing appropriate human reference genomes, which is a necessary component of personalized medicine and precision medicine.
Chromatin Immunoprecipitation ; Computational Biology ; DNA ; Epigenomics ; Genetics, Medical ; Genome* ; Genome, Human ; Genomics ; High-Throughput Nucleotide Sequencing ; Human Genome Project ; Humans ; Methylation ; Precision Medicine ; Sequence Analysis, RNA ; Transcriptome

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

Watson and Crick published a paper on the double helical structure of DNA in Nature in April 25, 1953. The human genome is contained in the 23 pairs of chromosomes and in the mitochondrial DNA of each cell. The Human Genome Project was launched in 1990 under the direction of Watson and concluded in 2003, on the 50th anniversary of Watson and Crick paper. Over 6 billion of nucleotides of genetic codes are in single cells. There are 23,000 protein coding genes and the remainder are non-coding DNA, regulatory DNA. Since the completion of Human Genome Project, these huge genomic information has been translated into clinically usable medical information. With the advent of massively parallel DNA sequencing, known as next generation DNA sequencing, the cost and turn-around time were significantly reduced so that the era of Whole Genome Sequencing entered into hospitals and medical clinics. On June 16, 2014 American Society of Human Genetics revised its mission statement as follows. "Our mission is to advance human genetics in science, health and society through research, education and advocacy". Finally medical genetics nestled its roots in the midst of genetics and genomics.
Anniversaries and Special Events ; Clinical Coding ; Clinical Medicine* ; DNA ; DNA, Mitochondrial ; Education ; Genetic Code ; Genetics ; Genetics, Medical ; Genome ; Genome, Human ; Genomics ; Human Genome Project ; Humans ; Missions and Missionaries ; Nucleotides ; Sequence Analysis, DNA*

Approximately 45% of the human genome is comprised of transposable elements (TEs). Results from the Human Genome Project have emphasized the biological importance of TEs. Many studies have revealed that TEs are not simply "junk" DNA, but rather, they play various roles in processes, including genome evolution, gene expression regulation, genetic instability, and cancer disposition. The effects of TE insertion in the genome varies from negligible to disease conditions. For the past two decades, many studies have shown that TEs are the causative factors of various genetic disorders and cancer. TEs are a subject of interest worldwide, not only in terms of their clinical aspects but also in basic research, such as evolutionary tracking. Although active TEs contribute to genetic instability and disease states, non-long terminal repeat transposons are well studied, and their roles in these processes have been confirmed. In this review, we will give an overview of the importance of TEs in studying genome evolution and genetic instability, and we suggest that further in-depth studies on the mechanisms related to these phenomena will be useful for both evolutionary tracking and clinical diagnostics.
DNA ; DNA Transposable Elements* ; Gene Expression ; Gene Expression Regulation ; Genome* ; Genome, Human ; Human Genome Project ; Humans ; Terminal Repeat Sequences

After the initial enthusiasm of the human genome project, it became clear that without additional data pertaining to the epigenome, i.e., how the genome is marked at specific developmental periods, in different tissues, as well as across individuals and species-the promise of the genome sequencing project in understanding biology cannot be fulfilled. This realization prompted several large-scale efforts to map the epigenome, most notably the Encyclopedia of DNA Elements (ENCODE) project. While there is essentially a single genome in an individual, there are hundreds of epigenomes, corresponding to various types of epigenomic marks at different developmental times and in multiple tissue types. Unprecedented advances in next-generation sequencing (NGS) technologies, by virtue of low cost and high speeds that continue to improve at a rate beyond what is anticipated by Moore's law for computer hardware technologies, have revolutionized molecular biology and genetics research, and have in turn prompted innovative ways to reduce the problem of measuring cellular events involving DNA or RNA into a sequencing problem. In this article, we provide a brief overview of the epigenome, the various types of epigenomic data afforded by NGS, and some of the novel discoveries yielded by the epigenomics projects. We also provide ample references for the reader to get in-depth information on these topics.
Biology ; Computers ; DNA ; Epigenomics* ; Genetics ; Genome ; Human Genome Project ; Jurisprudence ; Methylation ; Molecular Biology ; RNA ; Virtues

Until recently, since the Human Genome Project, the general view has been that the majority of the human genome is composed of junk DNA and has little or no selective advantage to the organism. Now we know that this conclusion is an oversimplification. In April 2003, the National Human Genome Research Institute (NHGRI) launched an international research consortium called Encyclopedia of DNA Elements (ENCODE) to uncover non-coding functional elements in the human genome. The result of this project has identified a set of new DNA regulatory elements, based on novel relationships among chromatin accessibility, histone modifications, nucleosome positioning, DNA methylation, transcription, and the occupancy of sequence-specific factors. The project gives us new insights into the organization and regulation of the human genome and epigenome. Here, we sought to summarize particular aspects of the ENCODE project and highlight the features and data that have recently been released. At the end of this review, we have summarized a case study we conducted using the ENCODE epigenome data.
Chromatin ; DNA ; DNA Methylation ; DNA, Intergenic ; Genome, Human ; Histones ; Human Genome Project ; Humans ; Imidazoles ; National Human Genome Research Institute (U.S.) ; Nitro Compounds ; Nucleosomes

The human-associated microbiota is diverse, varies between individuals and body sites, and is important in human health. Microbes in human body play an essential role in immunity, health, and disease. The human microbiome has been studies using the advances of next-generation sequencing and its metagenomic applications. This has allowed investigation of the microbial composition in the human body, and identification of the functional genes expressed by this microbial community. The gut microbes have been found to be the most diverse and constitute the densest cell number in the human microbiota; thus, it has been studied more than other sites. Early results have indicated that the imbalances in gut microbiota are related to numerous disorders, such as inflammatory bowel disease, colorectal cancer, diabetes, and atopy. Clinical therapy involving modulating of the microbiota, such as fecal transplantation, has been applied, and its effects investigated in some diseases. Human microbiome studies form part of human genome projects, and understanding gleaned from studies increase the possibility of various applications including personalized medicine.
Cell Count ; Colorectal Neoplasms ; Human Body ; Human Genome Project ; Humans ; Precision Medicine ; Inflammatory Bowel Diseases ; Metagenome ; Metagenomics ; Transplants