• Title, Summary, Keyword: Single-nucleotide polymorphism (SNP)

Search Result 508, Processing Time 0.046 seconds

UNDERSTANDING OF SINGLE NUCLEOTIDE POLYMORPHISM OF HUMAN GENOME (인간 게놈의 단일염기변형 (Single Nucleotide Polymorphism; SNP)에 대한 이해)

  • Oh, Jung-Hwan;Yoon, Byung-Wook
    • Journal of the Korean Association of Oral and Maxillofacial Surgeons
    • /
    • v.34 no.4
    • /
    • pp.450-455
    • /
    • 2008
  • A Single Nucleotide Polymorphism (SNP) is a small genetic change or variation that can occur within a DNA sequence. It's the difference of one base at specific base pair position. SNP variation occurs when a single nucleotide, such as an A, replaces one of the other three nucleotide letters-C, G, or T. On average, SNP occur in the human population more than 1 percent of the time. They occur once in every 300 nucleotides on average, which means there are roughly 10 million SNPs in the human genome. Because SNPs occur frequently throughout the genome and tend to be relatively stable genetically, they serve as excellent biological markers. They can help scientists locate genes that are associated with disease such as heart disease, cancer, diabetes. They can also be used to track the inheritance of disease genes within families. SNPs may also be associated with absorbance and clearance of therapeutic agents. In the future, the most appropriate drug for an individual could be determined in advance of treatment by analyzing a patient's SNP profile. This pharmacogenetic strategy heralds an era in which the choice of drugs for a particular patient will be based on evidence rather than trial and error (so called "personalized medicine").

Genetic association study of a single nucleotide polymorphism of kallikrein-related peptidase 2 with male infertility

  • Lee, Sun-Hee;Lee, Su-Man
    • Clinical and Experimental Reproductive Medicine
    • /
    • v.38 no.1
    • /
    • pp.6-9
    • /
    • 2011
  • Objective: To investigate a kallikrein-related peptidase 2 (KLK2) single nucleotide polymorphism (SNP) in relation to male infertility because of its role in semen processing. We investigated the genetic association of the KLK2+255G>A genotype with male infertility. Methods: We genotyped the SNP site located in intron 1 (+255G>A, rs2664155) of KLK2 from 218 men with male infertility (cases) and 220 fertile males (controls). Pyrosequencing analysis was performed for the genotyping. Results: The SNP of the KLK2 gene had a statistically significant association with male infertility (p<0.05). The odds ratio for the minor allele (+255A) in the pooled sample was 0.47 (95% confidence intervals, 0.26-0.85) for rs2664155. Conclusion: The relationship of KLK2 SNP to male infertility is statistically significant, especially within the non-azoospermia group. Further study is needed to understand the mechanisms associated with male infertility.

Prediction of Chronic Hepatitis Susceptibility using Single Nucleotide Polymorphism Data and Support Vector Machine (Single Nucleotide Polymorphism(SNP) 데이타와 Support Vector Machine(SVM)을 이용한 만성 간염 감수성 예측)

  • Kim, Dong-Hoi;Uhmn, Saang-Yong;Hahm, Ki-Baik;Kim, Jin
    • Journal of KIISE:Computer Systems and Theory
    • /
    • v.34 no.7
    • /
    • pp.276-281
    • /
    • 2007
  • In this paper, we use Support Vector Machine to predict the susceptibility of chronic hepatitis from single nucleotide polymorphism data. Our data set consists of SNP data for 328 patients based on 28 SNPs and patients classes(chronic hepatitis, healthy). We use leave-one-out cross validation method for estimation of the accuracy. The experimental results show that SVM with SNP is capable of classifying the SNP data successfully for chronic hepatitis susceptibility with accuracy value of 67.1%. The accuracy of all SNPs with health related feature(sex, age) is improved more than 7%(accuracy 74.9%). This result shows that the accuracy of predicting susceptibility can be improved with health related features. With more SNPs and other health related features, SVM prediction of SNP data is a potential tool for chronic hepatitis susceptibility.

SNP (Single Nucleotide Polymorphism) Detection Using Indicator-free DNA (비수식화 DNA를 이용한 SNP의 검출)

  • Choi, Yong-Sung;Park, Dae-Hee;Kwon, Young-Soo
    • Proceedings of the Korean Institute of Electrical and Electronic Material Engineers Conference
    • /
    • /
    • pp.224-226
    • /
    • 2003
  • In this paper, we succeeded SNP discrimination of DNA hybridization on microarray using new electrochemical system. Using the electrochemical method with a label-free DNA has Performed DNA chip microarray. This method is based on redox of an electrochemical ligand. We developed scanning system with high performance.

  • PDF

Main SNP Identification of Hanwoo Carcass Weight with Multifactor Dimensionality Reduction(MDR) Method (MULTIFACTOR DIMENSIONALITY REDUCTION(MDR)을 이용한 한우 도체중에서의 주요 SNP 규명)

  • Lee, Jea-Young;Kim, Dong-Chul
    • The Korean Journal of Applied Statistics
    • /
    • v.21 no.1
    • /
    • pp.53-63
    • /
    • 2008
  • It is commonly believed that disease of human or economic traits of livestock are caused not by single gene acting alone, but by multiple genes interacting with one an-other. This issue is difficult due to the limitations of parametric statistical method like as logistic regression for detection of gene effects that are dependent solely on interactions with other genes and with environmental exposures. Multifactor dimensionality reduction (MDR) nonparametric statistical method, to improve the identification of single nucleotide polymorphism (SNP) associated with the Hanwoo(Korean cattle) carcass cold weight, is applied and compared with ANOVA results.

Comparison of the Affymetrix SNP Array 5.0 and Oligoarray Platforms for Defining CNV

  • Kim, Ji-Hong;Jung, Seung-Hyun;Hu, Hae-Jin;Yim, Seon-Hee;Chung, Yeun-Jun
    • Genomics & Informatics
    • /
    • v.8 no.3
    • /
    • pp.138-141
    • /
    • 2010
  • Together with single nucleotide polymorphism (SNP), copy number variations (CNV) are recognized to be the major component of human genetic diversity and used as a genetic marker in many disease association studies. Affymetrix Genome-wide SNP 5.0 is one of the commonly used SNP array platforms for SNP-GWAS as well as CNV analysis. However, there has been no report that validated the accuracy and reproducibility of CNVs identified by Affymetrix SNP array 5.0. In this study, we compared the characteristics of CNVs from the same set of genomic DNAs detected by three different array platforms; Affymetrix SNP array 5.0, Agilent 2X244K CNV array and NimbleGen 2.1M CNV array. In our analysis, Affymetrix SNP array 5.0 seems to detect CNVs in a reliable manner, which can be applied for association studies. However, for the purpose of defining CNVs in detail, Affymetrix Genome-wide SNP 5.0 might be relatively less ideal than NimbleGen 2.1M CNV array and Agilent 2X244K CNV array, which outperform Affymetrix array for defining the small-sized single copy variants. This result will help researchers to select a suitable array platform for CNV analysis.

Advantages of the single nucleotide polymorphism-based noninvasive prenatal test

  • Kim, Kunwoo
    • Journal of Genetic Medicine
    • /
    • v.12 no.2
    • /
    • pp.66-71
    • /
    • 2015
  • Down syndrome screening with cell-free DNA (cfDNA) in the maternal plasma has recently received much attention in the prenatal diagnostic field. Indeed, a large amount of evidence has already accumulated to show that screening tests with cfDNA are more sensitive and specific than conventional maternal serum and/or ultrasound screening. Globally, more than 1,000,000 of these noninvasive prenatal tests (NIPTs) have been performed to date. There are several different methods for NIPTs that are currently commercially available, including shotgun massively parallel sequencing, targeted massively parallel sequencing, and single nucleotide polymorphism (SNP)-based methods. All of these methods have their own advantages and disadvantages. In this review, I will focus specifically on the SNP-based NIPT.

VCS: Tool for Visualizing Copy Number Variation and Single Nucleotide Polymorphism

  • Kim, HyoYoung;Sung, Samsun;Cho, Seoae;Kim, Tae-Hun;Seo, Kangseok;Kim, Heebal
    • Asian-Australasian Journal of Animal Sciences
    • /
    • v.27 no.12
    • /
    • pp.1691-1694
    • /
    • 2014
  • Copy number variation (CNV) or single nucleotide phlyorphism (SNP) is useful genetic resource to aid in understanding complex phenotypes or deseases susceptibility. Although thousands of CNVs and SNPs are currently avaliable in the public databases, they are somewhat difficult to use for analyses without visualization tools. We developed a web-based tool called the VCS (visualization of CNV or SNP) to visualize the CNV or SNP detected. The VCS tool can assist to easily interpret a biological meaning from the numerical value of CNV and SNP. The VCS provides six visualization tools: i) the enrichment of genome contents in CNV; ii) the physical distribution of CNV or SNP on chromosomes; iii) the distribution of log2 ratio of CNVs with criteria of interested; iv) the number of CNV or SNP per binning unit; v) the distribution of homozygosity of SNP genotype; and vi) cytomap of genes within CNV or SNP region.

Development and Validation of Single Nucleotide Polymorphism (SNP) Markers from an Expressed Sequence Tag (EST) Database in Olive Flounder (Paralichthys olivaceus)

  • Kim, Jung Eun;Lee, Young Mee;Lee, Jeong-Ho;Noh, Jae Koo;Kim, Hyun Chul;Park, Choul-Ji;Park, Jong-Won;Kim, Kyung-Kil
    • Development and Reproduction
    • /
    • v.18 no.4
    • /
    • pp.275-286
    • /
    • 2014
  • To successful molecular breeding, identification and functional characterization of breeding related genes and development of molecular breeding techniques using DNA markers are essential. Although the development of a useful marker is difficult in the aspect of time, cost and effort, many markers are being developed to be used in molecular breeding and developed markers have been used in many fields. Single nucleotide polymorphisms (SNPs) markers were widely used for genomic research and breeding, but has hardly been validated for screening functional genes in olive flounder. We identified single nucleotide polymorphisms (SNPs) from expressed sequence tag (EST) database in olive flounder; out of a total 4,327 ESTs, 693 contigs and 514 SNPs were detected in total EST, and these substitutions include 297 transitions and 217 transversions. As a result, 144 SNP markers were developed on the basis of 514 SNP to selection of useful gene region, and then applied to each of eight wild and culture olive flounder (total 16 samples). In our experimental result, only 32 markers had detected polymorphism in sample, also identified 21 transitions and 11 transversions, whereas indel was not detected in polymorphic SNPs. Heterozygosity of wild and cultured olive flounder using the 32 SNP markers is 0.34 and 0.29, respectively. In conclusion, we identified SNP and polymorphism in olive flounder using newly designed marker, it supports that developed markers are suitable for SNP detection and diversity analysis in olive flounder. The outcome of this study can be basic data for researches for immunity gene and characteristic with SNP.

Rapid Identification of Ginseng Cultivars (Panax ginseng Meyer) Using Novel SNP-Based Probes

  • Jo, Ick-Hyun;Bang, Kyong-Hwan;Kim, Young-Chang;Lee, Jei-Wan;Seo, A-Yeon;Seong, Bong-Jae;Kim, Hyun-Ho;Kim, Dong-Hwi;Cha, Seon-Woo;Cho, Yong-Gu;Kim, Hong-Sig
    • Journal of Ginseng Research
    • /
    • v.35 no.4
    • /
    • pp.504-513
    • /
    • 2011
  • In order to develop a novel system for the discrimination of five ginseng cultivars (Panax ginseng Meyer), single nucleotide polymorphism (SNP) genotyping assays with real-time polymerase chain reaction were conducted. Nucleotide substitution in gDNA library clones of P. ginseng cv. Yunpoong was targeted for the SNP genotyping assay. From these SNP sites, a set of modified SNP specific fluorescence probes (PGP74, PGP110, and PGP130) and novel primer sets have been developed to distinguish among five ginseng cultivars. The combination of the SNP type of the five cultivars, Chungpoong, Yunpoong, Gopoong, Kumpoong, and Sunpoong, was identified as 'ATA', 'GCC', 'GTA', 'GCA', and 'ACC', respectively. This study represents the first report of the identification of ginseng cultivars by fluorescence probes. An SNP genotyping assay using fluorescence probes could prove useful for the identification of ginseng cultivars and ginseng seed management systems and guarantee the purity of ginseng seed.