• Title/Summary/Keyword: single-nucleotide polymorphisms

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Global Genetic Analysis

  • Elahi, Elahe;Kumm, Jochen;Ronaghi, Mostafa
    • BMB Reports
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    • v.37 no.1
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    • pp.11-27
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    • 2004
  • The introduction of molecular markers in genetic analysis has revolutionized medicine. These molecular markers are genetic variations associated with a predisposition to common diseases and individual variations in drug responses. Identification and genotyping a vast number of genetic polymorphisms in large populations are increasingly important for disease gene identification, pharmacogenetics and population-based studies. Among variations being analyzed, single nucleotide polymorphisms seem to be most useful in large-scale genetic analysis. This review discusses approaches for genetic analysis, use of different markers, and emerging technologies for large-scale genetic analysis where millions of genotyping need to be performed.

Obesity: Interactions of Genome and Nutrients Intake

  • Doo, Miae;Kim, Yangha
    • Preventive Nutrition and Food Science
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    • v.20 no.1
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    • pp.1-7
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    • 2015
  • Obesity has become one of the major public health problems all over the world. Recent novel eras of research are opening for the effective management of obesity though gene and nutrient intake interactions because the causes of obesity are complex and multifactorial. Through GWASs (genome-wide association studies) and genetic variations (SNPs, single nucleotide polymorphisms), as the genetic factors are likely to determine individuals' obesity predisposition. The understanding of genetic approaches in nutritional sciences is referred as "nutrigenomics". Nutrigenomics explores the interaction between genetic factors and dietary nutrient intake on various disease phenotypes such as obesity. Therefore, this novel approach might suggest a solution for the effective prevention and treatment of obesity through individual genetic profiles and help improve health conditions.

Prediction and Analysis of Breast Cancer Related Deleterious Non-Synonymous Single Nucleotide Polymorphisms in the PTEN Gene

  • Naidu, C Kumaraswamy;Suneetha, Y
    • Asian Pacific Journal of Cancer Prevention
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    • v.17 no.4
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    • pp.2199-2203
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    • 2016
  • One of the most common cancer types faced by the women around the world is breast cancer. Among the several low, moderate and high penetrance genes conferring susceptibility to breast cancer, PTEN is one which is known to be mutated in many tumor types. In this study, we predicted and analyzed the impact of three deleterious coding non-synonymous single nucleotide polymorphisms rs121909218 (G129E), rs121909229 (R130Q) and rs57374291 (D107N) in the PTEN gene on the phenotype of breast tumors using computational tools SIFT, Polyphen-2, PROVEAN, MUPro, POPMusic and the GETAREA server.

Tetra Primer ARMS PCR Optimization to Detect Single Nucleotide Polymorphisms of the CYP2E1 Gene

  • Suhda, Saihas;Paramita, Dewi Kartikawati;Fachiroh, Jajah
    • Asian Pacific Journal of Cancer Prevention
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    • v.17 no.7
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    • pp.3065-3069
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    • 2016
  • Single nucleotide polymorphism (SNP) detection has been used extensively for genetic association studies of diseases including cancer. For mass, yet accurate and more economic SNP detection we have optimized tetra primer amplification refractory mutation system polymerase chain reaction (ARMS PCR) to detect three SNPs in the cytochrome P450 2E1 (CYP2E1) gene locus; i.e. rs3813865, rs2070672 and rs3813867. The optimization system strategies used were (1) designing inner and outer primers; (2) determining of their optimum primer concentration ratios; and (3) determining of the optimum PCR annealing temperature. The tetra primer ARMS PCR result could be directly observed using agarose gel electrophoresis. The method succesfully determined three SNPs in CYP2E1 locus, the results being consistent with validation using DNA sequencing and restriction fragment length polymorphisms (RFLP).

Research of genetic polymorphisms of Sasang Constitution - focusing on SNP of MTHFR gene - (사상체질의 유전적 다형성 연구 - MTHFR의 단일염기다형성을 중심으로 -)

  • Song, Il-Byung;Lee, Su-Kyung
    • Journal of Sasang Constitutional Medicine
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    • v.13 no.2
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    • pp.177-181
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    • 2001
  • Sasang Constitutional Medicine is based on the diversity of Human being and medically developed the response variation to diseases and medicines. The diversity is categorized as four from physiology, pathology, symptoms, to therapy. So that is related the difference of individual characteristics in Western Science. Single nucleotide polymorphism is the basic tool to research genetic polymorphisms. We researched the polymorphism site of MTHFR gene on 1p36.3, which is relatively reported the occlusive vascular disease. In the clinical research of brain infarction, the occurrence was different according to constitution. The 677C/T Polymorphism site of MTHFR was not significantly different in constitution group. But this research was the first trial about the single nucleotide polymorphism according to constitution. The more researchs of many genes are necessary to find the characteristics of constitution.

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SNP Detection Using Indicator-free DNA Chip (비수식화 DNA를 이용한 유전자 검출)

  • Choi, Yong-Sung;Moon, Jong-Dae;Lee, Kyung-Sup
    • Proceedings of the Korean Institute of Electrical and Electronic Material Engineers Conference
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    • 2006.06a
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    • pp.410-411
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    • 2006
  • High throughput analysis using a DNA chip microarray is powerful tool in the post genome era. Less labor-intensive and lower cost-performance is required. Thus, this paper aims to develop the multi-channel type label-free DNA chip and detect SNP (Single nucleotide polymorphisms). At first, we fabricated a high integrated type DNA chip array by lithography technology. Various probe DNAs were immobilized on the microelectrode array. We succeeded to discriminate of DNA hybridization between target DNA and mismatched DNA on microarray after immobilization of a various probe DNA and hybridization of label-free target DNA on. the electrodes simultaneously. This method is based on redox of an electrochemical ligand.

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Detection of SNP Using Microelectrode Array Biochip (마이크로전극어레이형 바이오칩을 이용한 SNP의 검출)

  • Choi, Yong-Sung;Kwon, Young-Soo;Paek, Dae-Hee
    • Proceedings of the Korean Institute of Electrical and Electronic Material Engineers Conference
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    • 2004.07b
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    • pp.845-848
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    • 2004
  • High throughput analysis using a DNA chip microarray is powerful tool in the post genome era. Less labor-intensive and lower cost-performance is required. Thus, this paper aims to develop the multi-channel type label-free DNA chip and detect SNP (Single nucleotide polymorphisms). At first, we fabricated a high integrated type DNA chip array by lithography technology. Various probe DNAs were immobilized on the microelectrode array. We succeeded to discriminate of DNA hybridization between target DNA and mismatched DNA on microarray after immobilization of a various probe DNA and hybridization of label-free target DNA on the electrodes simultaneously. This method is based on redox of an electrochemical ligand.

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Genetic association of polymorphisms in porcine RGS16 with porcine circovirus viral load in naturally infected Yorkshire pigs

  • Lee, Seung-Hoon;Lim, Kyu-Sang;Hong, Ki-Chang;Kim, Jun-Mo
    • Journal of Animal Science and Technology
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    • v.63 no.6
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    • pp.1223-1231
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    • 2021
  • Regulator of G protein signaling 16 (RGS16) is known to be associated with porcine circovirus type 2 (PCV2). PCV2 associated disease (PCVAD) is a serious problem in the swine industry. The representative symptoms of PCVAD are high viral titer proliferation and decreased average daily gain. In this study, we identified single nucleotide polymorphisms (SNPs) in the RGS16 region, including the upstream region. Of the 22 identified SNPs, rs332913874, rs326071195, and rs318298586 were genotyped in 142 Yorkshire pigs. These SNPs were significantly associated with the PCV2 viral load. Moreover, the haplotype combination was also related to the PCV2 viral load. The haplotype and diplotype analysis also had a significant difference with the PCV2 viral load. Taken together, our results suggest that RGS16 SNPs considerably affect the PCV2 viral load.