• Title/Summary/Keyword: SNPs, single-nucleotide polymorphism

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The Prediction of the Expected Current Selection Coefficient of Single Nucleotide Polymorphism Associated with Holstein Milk Yield, Fat and Protein Contents

  • Lee, Young-Sup;Shin, Donghyun;Lee, Wonseok;Taye, Mengistie;Cho, Kwanghyun;Park, Kyoung-Do;Kim, Heebal
    • Asian-Australasian Journal of Animal Sciences
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    • v.29 no.1
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    • pp.36-42
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    • 2016
  • Milk-related traits (milk yield, fat and protein) have been crucial to selection of Holstein. It is essential to find the current selection trends of Holstein. Despite this, uncovering the current trends of selection have been ignored in previous studies. We suggest a new formula to detect the current selection trends based on single nucleotide polymorphisms (SNP). This suggestion is based on the best linear unbiased prediction (BLUP) and the Fisher's fundamental theorem of natural selection both of which are trait-dependent. Fisher's theorem links the additive genetic variance to the selection coefficient. For Holstein milk production traits, we estimated the additive genetic variance using SNP effect from BLUP and selection coefficients based on genetic variance to search highly selective SNPs. Through these processes, we identified significantly selective SNPs. The number of genes containing highly selective SNPs with p-value <0.01 (nearly top 1% SNPs) in all traits and p-value <0.001 (nearly top 0.1%) in any traits was 14. They are phosphodiesterase 4B (PDE4B), serine/threonine kinase 40 (STK40), collagen, type XI, alpha 1 (COL11A1), ephrin-A1 (EFNA1), netrin 4 (NTN4), neuron specific gene family member 1 (NSG1), estrogen receptor 1 (ESR1), neurexin 3 (NRXN3), spectrin, beta, non-erythrocytic 1 (SPTBN1), ADP-ribosylation factor interacting protein 1 (ARFIP1), mutL homolog 1 (MLH1), transmembrane channel-like 7 (TMC7), carboxypeptidase X, member 2 (CPXM2) and ADAM metallopeptidase domain 12 (ADAM12). These genes may be important for future artificial selection trends. Also, we found that the SNP effect predicted from BLUP was the key factor to determine the expected current selection coefficient of SNP. Under Hardy-Weinberg equilibrium of SNP markers in current generation, the selection coefficient is equivalent to $2^*SNP$ effect.

A Novel Single Nucleotide Polymorphism of the Leptin Receptor Gene Associated with Backfat Thickness in Duroc Pigs (두록 돼지의 등지방두께와 연관된 렙틴수용체 유전자의 신규 SNP 마커)

  • Lee, Kyung-Tai;Lee, Hae-Young;Choi, Bong-Hwan;Kim, Jong-Joo;Kim, Tae-Hun
    • Journal of Life Science
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    • v.26 no.1
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    • pp.1-7
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    • 2016
  • Fatness is one of the most important economic traits in pigs. The leptin receptor (LEPR) gene may be a potential candidate for the fatness quantitative trait locus (QTL) on porcine chromosome 6, due to its position and physiological role. Thus, this study was carried out to evaluate the associations between structural variants in the LEPR gene and economic traits in pigs. We obtained an approximately 114-kb sequence containing the complete genomic DNA of the porcine LEPR gene, using shotgun sequencing of a bacterial artificial chromosome clone. We report the complete genomic structure of the porcine LEPR gene. Dozens of transcription factor-binding sites were found in the 1.2 kb upstream region from the transcription start point. An association study was performed with 550 Duroc pigs for 24 single-nucleotide polymorphisms (SNPs), including 6 SNPs within exons and 18 SNPs within the putative 5‘ regulatory region of the porcine LEPR gene. Among them, one SNP (−790C/G) was significantly associated with backfat thickness and lean meat percentage, whereas the others, including two SNPs with missense polymorphisms, had no effect on any phenotype. These results suggest that SNP −790C/G may be a useful marker for genetic improvements of fatness and leanness in Duroc pigs.

Polymorphisms in the TNF-α Gene and Extended HLA and TNF-α Haplotypes in Koreans (한국인에서의 TNF-α 유전자 다형성과 HLA/TNF-α 일배체형의 분포)

  • Park, Yoon June;Park, Hye Jin;Park, Myoung Hee
    • IMMUNE NETWORK
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    • v.2 no.4
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    • pp.242-247
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    • 2002
  • Background: Tumor necrosis factor-alpha (TNF-$\alpha$) is known to play an important role in various conditions such as inflammation, autoimmunity, apoptosis, insulin resistance and sleep induction. Five single nucleotide polymorphisms (SNPs) have been known to affect the transcriptional activities of TNF-$\alpha$: -1,031T/C, -863C/A, -857C/T, -308G/A and -238G/A. Methods: We have investigated 5 SNPs of the promoter region of TNF-$\alpha$ gene, the distribution of 5-locus TNF-$\alpha$ haplotypes, and their haplotypic associations with previously typed HLA-A, -B and -DRB1 loci in 107 healthy unrelated Koreans. TNF-$\alpha$ SNPs were typed using PCR-single-strand conformation polymorphism (SSCP) and PCR-restriction fragment length polymorphism (RFLP) methods. Results: The allele frequencies of -1,031C, -863A, -857T, -308A, and-238A, which are known as the high-producer-type, were 19.3%, 15.9%, 14.0%, 5.9%, and 2.9%, respectively. The frequency of -308A allele, known to be associated with autoimmune diseases, was 5.9% in Koreans which was lower than Caucasians (14~17%) and somewhat higher than Japanese (1.7%). Five most common TNF-$\alpha$ haplotypes (-1,031/-863/-857/-308/-238) comprised over 95% of total haplotypes: TCCGG (58.4%), CACGG (14.8%), TCTGG (13.7%), TCCAG (5.3%), and CCCGA (3.1%). Strong positive associations (P<0.001) were observed between TCCGG and B62; between CACGG and B51, $DRB1^*0901$; between TCTGG and B35, B54, B59, $DRB1^*1201$; and between TCCAG and A33, B58, $DRB1^*0301$, $DRB1^*1302$. Five most common extended haplotypes (>3%) comprised around 16% of total haplotypes: A33-B58-TCCAG-$DRB1^*1302$, A24-B52-TCCGG-$DRB1^*1502$, A33-B44-TCCGG-$DRB1^*1302$, A24-B7-TCCGG-$DRB1^*0101$, and A11-B62-TCCGG-$DRB1^*0406$. The distribution of extended HLA and TNF-$\alpha$ haplotypes showed that most of HLA haplotypes were almost exclusively associated with particular TNF-$\alpha$ haplotypes. Conclusion: The results obtained in this study would be useful as basic data for anthropologic studies and disease association studies in Koreans.

Genetic characterisation of PPARG, CEBPA and RXRA, and their influence on meat quality traits in cattle

  • Goszczynski, Daniel Estanislao;Mazzucco, Juliana Papaleo;Ripoli, Maria Veronica;Villarreal, Edgardo Leopoldo;Rogberg-Munoz, Andres;Mezzadra, Carlos Alberto;Melucci, Lilia Magdalena;Giovambattista, Guillermo
    • Journal of Animal Science and Technology
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    • v.58 no.4
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    • pp.14.1-14.9
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    • 2016
  • Background: Peroxisome proliferator-activated receptor gamma (PPARG), CCAAT/enhancer binding protein alpha (CEBPA) and retinoid X receptor alpha (RXRA) are nuclear transcription factors that play important roles in regulation of adipogenesis and fat deposition. The objectives of this study were to characterise the variability of these three candidate genes in a mixed sample panel composed of several cattle breeds with different meat quality, validate single nucleotide polymorphisms (SNPs) in a local crossbred population (Angus - Hereford - Limousin) and evaluate their effects on meat quality traits (backfat thickness, intramuscular fat content and fatty acid composition), supporting the association tests with bioinformatic predictive studies. Results: Globally, nine SNPs were detected in the PPARG and CEBPA genes within our mixed panel, including a novel SNP in the latter. Three of these nine, along with seven other SNPs selected from the Single Nucleotide Polymorphism database (SNPdb), including SNPs in the RXRA gene, were validated in the crossbred population (N = 260). After validation, five of these SNPs were evaluated for genotype effects on fatty acid content and composition. Significant effects were observed on backfat thickness and different fatty acid contents (P < 0.05). Some of these SNPs caused slight differences in mRNA structure stability and/or putative binding sites for proteins. Conclusions: PPARG and CEBPA showed low to moderate variability in our sample panel. Variations in these genes, along with RXRA, may explain part of the genetic variation in fat content and composition. Our results may contribute to knowledge about genetic variation in meat quality traits in cattle and should be evaluated in larger independent populations.

Different Real Time PCR Approaches for the Fine Quantification of SNP's Alleles in DNA Pools: Assays Development, Characterization and Pre-validation

  • Mattarucchi, Elia;Marsoni, Milena;Binelli, Giorgio;Passi, Alberto;Lo Curto, Francesco;Pasquali, Francesco;Porta, Giovanni
    • BMB Reports
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    • v.38 no.5
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    • pp.555-562
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    • 2005
  • Single nucleotide polymorphisms (SNPs) are becoming the most common type of markers used in genetic analysis. In the present report a SNP has been chosen to test the applicability of Real Time PCR to discriminate and quantify SNPs alleles on DNA pools. Amplification Refractory Mutation System (ARMS) and Mismatch Amplification Mutation Assay (MAMA) has been applied. Each assay has been pre-validated testing specificity and performances (linearity, PCR efficiency, interference limit, limit of detection, limit of quantification, precision and accuracy). Both the approaches achieve a precise and accurate estimation of the allele frequencies on pooled DNA samples in the range from 5% to 95% and don't require standard curves or calibrators. The lowest measurement that could be significantly distinguished from the background noise has been determined around the 1% for both the approaches, allowing to extend the range of quantifications from 1% to 99%. Furthermore applicability of Real Time PCR assays for general diagnostic purposes is discussed.

A Study on the Comparison between E-MDR and D-MDR in Continuous Data (연속형 데이터에서 E-MDR과 D-MDR방법 비교)

  • Lee, Jea-Young;Lee, Ho-Guen
    • Communications for Statistical Applications and Methods
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    • v.16 no.4
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    • pp.579-586
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    • 2009
  • We have used multifactor dimensionality reduction(MDR) method to study interaction effect of statistical model in general. But MDR method cannot be applied in all cases. It can be applied to the only case-control data. So, two methods are suggested E-MDR and D-MDR method using regression tree algorithm and dummy variables. We applied the methods on the identify interaction effects of single nucleotide polymorphisms(SNPs) responsible for longissimus mulcle dorsi area(LMA), carcass cold weight(CWT) and average daily gain(ADG) in a Hanwoo beef cattle population. Finally, we compare the results using permutation test.

Genome-wide association study to identify canine hip dysplasia loci in dogs

  • Kang, Ji Min;Seo, Dongwon;Lee, Soo Hyun;Lee, Doo Ho;Kim, Yeong Kuk;Choi, Bong Hwan;Lee, Seung Hwan
    • Journal of Animal Science and Technology
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    • v.62 no.3
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    • pp.306-312
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    • 2020
  • Korean army dogs are raised for special purposes and have contributed much to society. However, several diseases occur in dogs. Canine hip dysplasia (CHD) is a musculoskeletal disorder that occurs frequently in Korean army dogs and interferes with their activities. If we could control CHD, this would have a positive effect on their performance. This study performed a genome-wide association study (GWAS) in 69 Korean army dogs to find significant loci for CHD using 170K single nucleotide polymorphisms (SNPs). CHD was classified according to the Norberg angle criterion. The control group comprised 62 dogs classified as relatively normal, and 7 dogs with severe CHD formed the case group. From the GWAS analysis, we concluded that SNPs present on chromosome 4 might have a significant impact on the overall expression of canine hip dysplasia.

Detection of SNPs involved in the development of asthma with genetic algorithms (유전 알고리즘을 이용한 천식과 단일염기다형성(SNP)의 연관성)

  • Leem, Sang-Seob;Kim, Seung-Hyun;Wee, Kyu-Bum
    • Proceedings of the Korea Information Processing Society Conference
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    • 2007.05a
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    • pp.605-608
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    • 2007
  • 천식(Asthma)과 같은 복합질환(Complex Disease)의 원인과 작용 모델을 찾기 위해서 여러가지 통계적인 방법들과 기계 학습(Machine Learning)의 방법 등이 사용되고 있다. 본 연구에서는 유전 알고리즘을 이용하여 천식 환자와 대조군들을 분류할 수 있는 단일염기 다형성(SNP, Single Nucleotide Polymorphism)의 조합에 대하여 조사한다.

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The Genetic Variations of NOD2 Are Associated With White Blood Cell Counts

  • Jin, Hyun-Seok;Park, Sangwook
    • Biomedical Science Letters
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    • v.24 no.4
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    • pp.334-340
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    • 2018
  • The cytoplasmic elicitor, nucleotide-binding domain and leucine-rich repeat containing domain receptors (NLRs) is well established molecules in its role in inflammatory response. Among 22 NLR receptors, NOD2 is one of the intensively studied genes of elucidating for the inflammatory bowel disease and Crohn's disease as well. Recent research have accumulated that common genetic mutations in Parkinson's disease (PD) are increasingly related to the susceptibility to Crohn's disease. In this study, with the Korean Genome and Epidemiology Study, we aimed to perform the association between NOD2 polymorphisms and blood cell counts [WBC (white blood cell) count, RBC (red blood cell) count, platelet count], which linked supposedly to cytoplasmic inflammatory responses with clinical specialty. Linear regression analyses were performed, controlling for residential area, sex, and age as covariates. As a results, 12 SNPs from NOD2 gene were significantly associated with WBC counts (Bonferroni correction P-value criteria < 0.05/23=0.00218). In this study, we could ensure an association with NOD2 gene and WBC counts. This is the first report to have relationship between SNPs of NOD2 gene and WBC counts.

Genome-wide Single Nucleotide Polymorphism-based Assay for Phylogenetic Relationship of the Flammulina velutipes (팽이버섯(Flammulina velutipes)의 Genome-wide SNP (Single Nucleotide Polymorphism)에 의한 계통 분석)

  • Woo, Sung-I;Kim, Eun-Seon;Han, Jae-Gu;Jang, Kab Yeul;Shin, Pyung-Gyun;Oh, Youn-Lee;Oh, Min Ji;Jo, Sung-Hwan;Lee, Jeong-Hee;Kim, Kyung-Soo;Kong, Won-Sik
    • The Korean Journal of Mycology
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    • v.43 no.4
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    • pp.231-238
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    • 2015
  • Genome-wide reanalyzed data of 25 Flammulina strains were compared against the reference genome (KACC42780) to establish a genome-wide single nucleotide polymorphism (SNP). The rate of mapping differences between the strains reflected in the strain variation in its result. Genome-wide SNPs distribution divided into types of homozygous SNP and heterozygous SNP moreover all of the strains demonstrated a wide variation in all of the regions. In the further study of topological relationship between the collected strains, phylogenetic tree was separated into 3 major groups. Group I contained F. velutipes var. related strains of ASI 4062, 4148, 4195. Group 2 contained strains that are different species of ASI 4188 F. elastica, ASI 4190 F. fennae, and ASI 4194 F. rossica. The other 19 strains F. velutipes were classified as a single group. However, further experiment to discriminate its genetic relationship between the white group and brown group did not verify its validity. The inferred tree exhibited a phylogenetic relationship between Korea white fruitbody forming strains of ASI 4210, 4166, 4178 and Japan white fruitbody forming strains of ASI 4209, 4167 confirmed to be genetically closely related.