• 제목/요약/키워드: Genome

검색결과 5,321건 처리시간 0.029초

Genetic Variants of IL-13 and IL-4 in the Korean Population: Polymorphisms, Haplotypes and Linkage Disequilibrium

  • Ryu, Ha-Jung;Jung, Ho-Youl;Park, Jung-Sun;Kim, Jun-Woo;Kim, Hyung-Tae;Park, Choon-Sik;Han, Bok-Ghee;Koh, In-Song;Park, Chan;Kimm, Ku-Chan;Oh, Berm-Seok;Lee, Jong-Keuk
    • Genomics & Informatics
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    • 제3권4호
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    • pp.149-153
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    • 2005
  • Asthma is an inflammatory airways disease characterized by bronchial hyperresponsiveness and airways obstruction, which results from a complex interaction of genetic and environmental factors. Interleukin (IL)-13 and IL-4 are important in IgE synthesis and allergic inflammation, therefore genes encoding IL-13 and IL-4 are candidates for predisposition to asthma. In the present study, we screened single-nucleotide polymorphisms (SNPs) in IL-13 and IL-4 and examined whether they are risk factors for asthma. We resequenced all exons and the promoter region in 12 asthma patients and 12 normal controls, and identified 18 SNPs including 2 novel SNPs. The linkage disequilibrium(LD) pattern was evaluated with 16 common SNPs, and haplotypes were also estimated within the block. Although IL-13 and IL-4 are localized within 27 kb on chromosome 5q31 and share many biological profiles, this region was partitioned into 2 blocks. One SNP and three SNPs were determined as haplotype-taggingSNPs (htSNPs) within IL-13 and IL-4 haplotype-block, respectively. No significant associations were observed between any of the SNPs or haplotypes and development of asthma in small number of Korean subjects. However, the genetic variants of IL-13 and IL-4 would provide valuable strategies for the genotyping studies in large population.

D2GSNP: a web server for the selection of Single Nucleotide Polymorphisms within human disease genes

  • Kang Hyo-Jin;Hong Tae-Hui;Chung Won-Hyong;Kim Young-Uk;Jung Jin-Hee;Hwang So-Hyun;Han A-Reum;Kim Young-Joo
    • Genomics & Informatics
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    • 제4권1호
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    • pp.45-47
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    • 2006
  • D2GSNP is a web-based server for the selection of single nucleotide polymorph isms (SNPs) within genes related to human diseases. The D2GSNP is based on a relational database created by downloading and parsing OMIM, GAD, and dbSNP, and merging it with positional information of UCSC Golden Path. Totally our server provides 5,142 and 1,932 non-redundant disease genes from OMIM and GAD, respectively. With the D2GSNP web interface, users can select SNPs within genes responding to certain diseases and get their flanking sequences for further genotyping experiments such as association studies.

Detection of hydin Gene Duplication in Personal Genome Sequence Data

  • Kim, Jong-Il;Ju, Young-Seok;Kim, Shee-Hyun;Hong, Dong-Wan;Seo, Jeong-Sun
    • Genomics & Informatics
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    • 제7권3호
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    • pp.159-162
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    • 2009
  • Human personal genome sequencing can be done with high efficiency by aligning a huge number of short reads derived from various next generation sequencing (NGS) technologies to the reference genome sequence. One of the major obstacles is the incompleteness of human reference genome. We tried to analyze the effect of hidden gene duplication on the NGS data using the known example of hydin gene. Hydin2, a duplicated copy of hydin on chromosome 16q22, has been recently found to be localized to chromosome 1q21, and is not included in the current version of standard human genome reference. We found that all of eight personal genome data published so far do not contain hydin2, and there is large number of nsSNPs in hydin. The heterozygosity of those nsSNPs was significantly higher than expected. The sequence coverage depth in hydin gene was about two fold of average depth. We believe that these unique finding of hydin can be used as useful indicators to discover new hidden multiplication in human genome.

Prediction of an Essential Gene with Potential Drug Target Property in Streptococcus suis Using Comparative Genomics

  • Zaman, Aubhishek
    • Interdisciplinary Bio Central
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    • 제4권4호
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    • pp.11.1-11.8
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    • 2012
  • Genes that are indispensable for survival are referred to as essential gene. Due to the momentous significance of these genes for cellular activity they can be selected potentially as drug targets. Here in this study, an essential gene for Streptococcus suis was predicted using coherent statistical analysis and powerful genome comparison computational method. At first the whole genome protein scatter plot was generated and subsequently, on the basis of statistical significance, a reference genome was chosen. The parameters set forth for selecting the reference genome was that the genome of the query (Streptococcus suis) and subject must fall in the same genus and yet they must vary to a good degree. Streptococcus pneumoniae was found to be suitable as the reference genome. A whole genome comparison was performed for the reference (Streptococcus pneumoniae) and the query genome (Streptococcus suis) and 14 conserved proteins from them were subjected to a screen for potential essential gene property. Among those 14 only one essential gene was found to be with impressive similarity score between reference and query. The essential gene encodes for a type of 'Clp protease'. Clp proteases play major roles in degrading misfolded proteins. Results found here should help formulating a drug against Strptococcus suis which is responsible for mild to severe clinical conditions in human. However, like many other computational studies, the study has to be validated furthermore through in vitro assays for concrete proof.

BioPlace: A Web-Based Collaborative Environment for Effective Genome Research

  • Ahn, Geon-Tae;Kim, Jin-Hong;Kang, Kyung-Mi;Lee, Myung-Joon;Han, In-Seob
    • Journal of Microbiology and Biotechnology
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    • 제14권5호
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    • pp.1081-1085
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    • 2004
  • Genome research has become very popular in most nations. In order to enhance the efficiency of collaboration among genome research groups, ways to store and share data, communicate with each other, be guided through right research strategies, and to easily use well-established databases. In addition, since techniques and softwares for genome research groups are well established, a similar research road map could commonly be applied. In this study, we developed a web-based work place for effective genome research, named 'BioPlace.' From the beginning of writing a proposal, research members can work on the same environment with convenient aid to share files or data. BioPlace provides various ways of collaboration methods among genome researchers. The BioPlace system supports two types of workplaces, namely 'Personal Workspace' and 'Team Workspace.' For each BioPlace user, a Persona] Workspace is provided, while a Team Workspace is provided for each group with the same purpose. In addition, BioPlace provides a 'General Research Road Map' for genome research, and several Korean user interfaces for BLAST, PDB, and Primer3. We expect that BioPlace may facilitate collaboration of genome research among the experienced scientists and help beginners in many different ways as well.

A data management system for microbial genome projects

  • Ki-Bong Kim;Hyeweon Nam;Hwajung Seo and Kiejung Park
    • 한국생물정보학회:학술대회논문집
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    • 한국생물정보시스템생물학회 2000년도 International Symposium on Bioinformatics
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    • pp.83-85
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    • 2000
  • A lot of microbial genome sequencing projects is being done in many genome centers around the world, since the first genome, Haemophilus influenzae, was sequenced in 1995. The deluge of microbial genome sequence data demands new and highly automatic data flow system in order for genome researchers to manage and analyze their own bulky sequence data from low-level to high-level. In such an aspect, we developed the automatic data management system for microbial genome projects, which consists mainly of local database, analysis programs, and user-friendly interface. We designed and implemented the local database for large-scale sequencing projects, which makes systematic and consistent data management and retrieval possible and is tightly coupled with analysis programs and web-based user interface, That is, parsing and storage of the results of analysis programs in local database is possible and user can retrieve the data in any level of data process by means of web-based graphical user interface. Contig assembly, homology search, and ORF prediction, which are essential in genome projects, make analysis programs in our system. All but Contig assembly program are open as public domain. These programs are connected with each other by means of a lot of utility programs. As a result, this system will maximize the efficiency in cost and time in genome research.

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Drug-Induced Haploinsufficiency of Fission Yeast Provides a Powerful Tool for Identification of Drug Targets

  • PARK, JO-YOUNG;YOUNG-JOO JANG;SEOG-JONG YOU;YOUNG-SOOK KIL;EUN-JUNG KANG;JEE-HEE AHN;YOUNG-KWON RYOO;MIN-YOUN LEE;MISUN WON
    • Journal of Microbiology and Biotechnology
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    • 제13권2호
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    • pp.317-320
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    • 2003
  • Genome-wide systematic deletion mutants were generated using a PCR-based targeted mutagenesis of Schizosacchaaromyces pombe. In a drug-sensitivity assay using thiabendazole(TBZ), an inhibitor of microtubule assembly, a heterozygous nda2 mutant ($nda2^+/nda2^-$), deleting one copy of nda2 encoding the microtubule subunit alpha1 demonstrated a distinct sensitivity to TBZ, indicating TBZ-induced haploinsufficiency. This result suggests that profiling drug-induced haploinsufficiency can be exploited to identify target genes for drugs and discover new drugs.

Genome-Wide SNP Calling Using Next Generation Sequencing Data in Tomato

  • Kim, Ji-Eun;Oh, Sang-Keun;Lee, Jeong-Hee;Lee, Bo-Mi;Jo, Sung-Hwan
    • Molecules and Cells
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    • 제37권1호
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    • pp.36-42
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    • 2014
  • The tomato (Solanum lycopersicum L.) is a model plant for genome research in Solanaceae, as well as for studying crop breeding. Genome-wide single nucleotide polymorphisms (SNPs) are a valuable resource in genetic research and breeding. However, to do discovery of genome-wide SNPs, most methods require expensive high-depth sequencing. Here, we describe a method for SNP calling using a modified version of SAMtools that improved its sensitivity. We analyzed 90 Gb of raw sequence data from next-generation sequencing of two resequencing and seven transcriptome data sets from several tomato accessions. Our study identified 4,812,432 non-redundant SNPs. Moreover, the workflow of SNP calling was improved by aligning the reference genome with its own raw data. Using this approach, 131,785 SNPs were discovered from transcriptome data of seven accessions. In addition, 4,680,647 SNPs were identified from the genome of S. pimpinellifolium, which are 60 times more than 71,637 of the PI212816 transcriptome. SNP distribution was compared between the whole genome and transcriptome of S. pimpinellifolium. Moreover, we surveyed the location of SNPs within genic and intergenic regions. Our results indicated that the sufficient genome-wide SNP markers and very sensitive SNP calling method allow for application of marker assisted breeding and genome-wide association studies.

Genome-wide Association Study Identified TIMP2 Genetic Variant with Susceptibility to Osteoarthritis

  • Keam, Bhum-Suk;Hwang, Joo-Yeon;Go, Min-Jin;Heo, Jee-Yeon;Park, Mi-Sun;Lee, Ji-Young;Kim, Nam-Hee;Park, Miey;Oh, Ji-Hee;Kim, Dong-Hyun;Jeong, Jin-Young;Lee, Jong-Young;Han, Bok-Ghee;Lee, Ju-Young
    • Genomics & Informatics
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    • 제9권3호
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    • pp.121-126
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    • 2011
  • Osteoarthritis (OA) is the most common degenerative joint disorder in the elderly population. To identify OA-associated genetic variants and candidate genes, we conducted a genome-wide association study (GWAS). A total 3,793 samples (476 cases: wrist + knee and 3317 controls) from a community-based epidemiological study were genotyped using the Affymetrix SNP 5.0. An intronic SNP (rs4789934) in the TIMP2 (tissue inhibitor of metalloproteinase-2) showed the most significance with OA (odd ratio [OR] = 2.06, 95% confidence interval [CI] = 1.52-2.81, p = $4.01{\times}10^{-6}$). Furthermore, a poly-morphism (rs1352677) in the NKAIN2 ($Na^+/K^+$ transporting ATPase interacting 2) was suggestively associated with OA (OR = 1.43, CI = 1.22-1.66, p = $7.01{\times}10^{-6}$). The present study provides new insights into the identification of genetic predisposing factors for OA.

Genome Mapping of an Extreme Thermophile, Thermus caldophilus GK24

  • Park, Jong Hoon;Park, Byung Chul;Koch, Suk Hoon;Kim, Joong Soo;Koh, Jeong Heon;Yang, Moon Hee;Kim, Yong Sung;Kim, Cheorl Ho;Kim, Myoung Hee;Kwon, Suk Tae;Lee, Dae-Sil
    • Genomics & Informatics
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    • 제1권1호
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    • pp.50-54
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    • 2003
  • Genome of an extreme thermophile, Thermus caldophilus GK24 has been analyzed to construct the genomic map. The genomic DNAs encapsulated in agarose gel were digested with SspI, EcoRI, SpeI, and HpaI restriction endonucleases, and then the resulting genomic DNA fragments were analyzed by pulsed-field gel electrophoresis. Its restriction map has been constructed by analyzing sizes of the restriction fragments obtained from both complete and partial digestions. The circular form of its genome was composed of about 1.98 Mbp and a megaplasmid. The genomic loci for the genes of xylose isomerase, thioredoxin, tRNA-16S rRNA, 23S rRNA, L5 ribosomal protein, ADP-glucose pyrophosphorylase, DNA-ligase, and Tca DNA polymerase were determined by both Southern hybridization and PCR.