• 제목/요약/키워드: single-nucleotide polymorphisms

검색결과 755건 처리시간 0.022초

한우에서 TG와 EDG1 유전자의 단일염기다형 확인 및 도체형질과의 연관성 분석 (Identification of SNPs in TG and EDG1 genes and their relationships with carcass traits in Korean cattle (Hanwoo))

  • 카야디;디아 마하라니;유승희;이승환;이준헌
    • 농업과학연구
    • /
    • 제39권3호
    • /
    • pp.349-355
    • /
    • 2012
  • Thyroglobulin (TG) gene was known to be regulated fat cell growth and differentiation and the endothelial differentiation sphingolipid G-protein-coupled receptor 1 (EDG1) gene involves blood vessel formation and known to be affecting carcass traits in beef cattle. The aim of this study was to identify the single nucleotide polymorphisms (SNPs) in both TG and EDG1 genes and to analyze the association with carcass traits in Korean cattle (Hanwoo). The T354C SNP in TG gene located at the 3' flanking region and c.-312A>G SNP located at 3'-UTR of EDG1 gene were used for genotyping the animals using PCR-RFLP method. Three genotypes were identified in T354C SNP in TG gene and only two AA and AG genotypes were observed for the c.-312A>G SNP in EDG1 gene. The results indicated that T354C SNP in TG gene was not significantly associated with carcass traits. However, the c.-312A>G SNP in EDG1 gene had significant effects on backfat thickness (BF) and yield index (YI). These results may provide valuable information for further candidate gene studies affecting carcass traits in Korean cattle and may use as marker assisted selection for improving the quality of meat in Hanwoo.

Genetic Variants in Interleukin-2 and Risk of Lymphoma among Children in Korea

  • Song, Nan;Han, So-Hee;Lee, Kyoung-Mu;Choi, Ji-Yeob;Park, Sue-K;Jeon, Su-Jee;Lee, Yun-Hee;Ahn, Hyo-Seop;Shin, Hee-Young;Kang, Hyoung-Jin;Koo, Hong-Hoe;Seo, Jong-Jin;Choi, Ji-Eun;Kang, Dae-Hee
    • Asian Pacific Journal of Cancer Prevention
    • /
    • 제13권2호
    • /
    • pp.621-623
    • /
    • 2012
  • To estimate the genetic susceptibility for childhood lymphoma, we conducted an association study for 23 cases and 148 controls. Total 1536 tag single nucleotide polymorphisms (SNPs) were selected in 138 candidate gene regions related to immune responses, apoptosis, the cell cycle, and DNA repair. Twelve SNPs were significantly associated with the risk of lymphoma ($P_{trend}$ <0.05) in six genes ($IL1RN$, $IL2$, $IL12RB1$, $JAK3$, $TNFRSF13B$, and $XRCC3$). The most significant association was seen for $IL2$ variant rs2069762 ($OR_{TG+GG}$ vs. TT=3.43 (1.29-9.11), $P_{trend}$=0.002, min$P$=0.005). These findings suggest that common genetic variants in $IL2$ might play a role in the pathogenesis of childhood lymphoma.

Genome-wide association study identifies 22 new loci for body dimension and body weight traits in a White Duroc×Erhualian F2 intercross population

  • Ji, Jiuxiu;Zhou, Lisheng;Guo, Yuanmei;Huang, Lusheng;Ma, Junwu
    • Asian-Australasian Journal of Animal Sciences
    • /
    • 제30권8호
    • /
    • pp.1066-1073
    • /
    • 2017
  • Objective: Growth-related traits are important economic traits in the swine industry. However, the genetic mechanism of growth-related traits is little known. The aim of this study was to screen the candidate genes and molecular markers associated with body dimension and body weight traits in pigs. Methods: A genome-wide association study (GWAS) on body dimension and body weight traits was performed in a White $Duroc{\times}Erhualian$ $F_2$ intercross by the illumina PorcineSNP60K Beadchip. A mixed linear model was used to assess the association between single nucleotide polymorphisms (SNPs) and the phenotypes. Results: In total, 611 and 79 SNPs were identified significantly associated with body dimension traits and body weight respectively. All SNPs but 62 were located into 23 genomic regions (quantitative trait loci, QTLs) on 14 autosomal and X chromosomes in Sus scrofa Build 10.2 assembly. Out of the 23 QTLs with the suggestive significance level ($5{\times}10^{-4}$), three QTLs exceeded the genome-wide significance threshold ($1.15{\times}10^{-6}$). Except the one on Sus scrofa chromosome (SSC) 7 which was reported previously all the QTLs are novel. In addition, we identified 5 promising candidate genes, including cell division cycle 7 for abdominal circumference, pleiomorphic adenoma gene 1 and neuropeptides B/W receptor 1 for both body weight and cannon bone circumference on SSC4, phosphoenolpyruvate carboxykinase 1, and bone morphogenetic protein 7 for hip circumference on SSC17. Conclusion: The results have not only demonstrated a number of potential genes/loci associated with the growth-related traits in pigs, but also laid a foundation for studying the genes' role and further identifying causative variants underlying these loci.

한우 myostatin 유전자의 SNP 및 발현분석 (SNP and Expression Analyses of Myostatin Gene in Korean Cattle (Hanwoo))

  • 유성란;정기철;상병찬;이준헌
    • 농업과학연구
    • /
    • 제31권2호
    • /
    • pp.97-104
    • /
    • 2004
  • 주로 근섬유에서 발현되는 Myostatin 유전자는 근육의 발달 및 성장과 관련하여 근육이 발달하는 것을 조절하는 유전자로서 성장 분화와 관련된 TGF-${\beta}$ family에 속한다. 소에서 이중 근육(double muscling) 표현형을 보이는 개체를 조사한 결과, myostatin 유전자가 돌연변이 되어 있음을 확인하였다. 소의 중요한 경제형질인 육질과 육량을 포함한 근육의 발달과 밀접한 관련이 있는 myostatin 유전자의 SNP와 발현특성을 분석함으로서 한우의 개량을 위한 기초 자료를 얻기 위하여 본 연구를 수행하였다. 그 결과, 한우에서 유용한 marker로 사용이 가능한 nt2385부위에 SNP가 존재함이 확인되었다. 또한 여러 근육 및 기관에서의 myostatin 발현양상도 비교하여 본 바 myostatin 유전자는 근육에서만 발현하며, 근육간 발현양의 차이를 보임을 알 수 있다.

  • PDF

Identification of a Bromodomain-containing Protein 2 (BRD2) Gene Polymorphic Variant and Its Effects on Pork Quality Traits in Berkshire Pigs

  • Lee, Dong Ju;Hwang, Jung Hye;Ha, Jeongim;Yu, Go Eun;Kwon, Seulgi;Park, Da Hye;Kang, Deok Gyeong;Kim, Tae Wan;Park, Hwa Chun;An, Sang Mi;Kim, Chul Wook
    • 한국축산식품학회지
    • /
    • 제38권4호
    • /
    • pp.703-710
    • /
    • 2018
  • Bromodomain-containing protein 2 (BRD2) is a nuclear serine/threonine kinase involved in transcriptional regulation. We investigated the expression and association of the BRD2 gene as a candidate gene for meat quality traits in Berkshire pigs. BRD2 mRNA was expressed at relatively high levels in muscle tissue. Statistical analysis revealed that the c.1709G>C polymorphism of the BRD2 gene was significantly associated with carcass weight, meat color ($a^*$, redness), protein content, cooking loss, water-holding capacity, carcass temperatures 4, 12 and 24 h postmortem, and the 24 h postmortem pH in 384 Berkshire pigs. Therefore, this polymorphism in the porcine BRD2 gene may be used as a candidate genetic marker to improve meat quality traits in pigs.

Analysis of unmapped regions associated with long deletions in Korean whole genome sequences based on short read data

  • Lee, Yuna;Park, Kiejung;Koh, Insong
    • Genomics & Informatics
    • /
    • 제17권4호
    • /
    • pp.40.1-40.9
    • /
    • 2019
  • While studies aimed at detecting and analyzing indels or single nucleotide polymorphisms within human genomic sequences have been actively conducted, studies on detecting long insertions/deletions are not easy to orchestrate. For the last 10 years, the availability of long read data of human genomes from PacBio or Nanopore platforms has increased, which makes it easier to detect long insertions/deletions. However, because long read data have a critical disadvantage due to their relatively high cost, many next generation sequencing data are produced mainly by short read sequencing machines. Here, we constructed programs to detect so-called unmapped regions (UMRs, where no reads are mapped on the reference genome), scanned 40 Korean genomes to select UMR long deletion candidates, and compared the candidates with the long deletion break points within the genomes available from the 1000 Genomes Project (1KGP). An average of about 36,000 UMRs were found in the 40 Korean genomes tested, 284 UMRs were common across the 40 genomes, and a total of 37,943 UMRs were found. Compared with the 74,045 break points provided by the 1KGP, 30,698 UMRs overlapped. As the number of compared samples increased from 1 to 40, the number of UMRs that overlapped with the break points also increased. This eventually reached a peak of 80.9% of the total UMRs found in this study. As the total number of overlapped UMRs could probably grow to encompass 74,045 break points with the inclusion of more Korean genomes, this approach could be practically useful for studies on long deletions utilizing short read data.

Pure additive contribution of genetic variants to a risk prediction model using propensity score matching: application to type 2 diabetes

  • Park, Chanwoo;Jiang, Nan;Park, Taesung
    • Genomics & Informatics
    • /
    • 제17권4호
    • /
    • pp.47.1-47.12
    • /
    • 2019
  • The achievements of genome-wide association studies have suggested ways to predict diseases, such as type 2 diabetes (T2D), using single-nucleotide polymorphisms (SNPs). Most T2D risk prediction models have used SNPs in combination with demographic variables. However, it is difficult to evaluate the pure additive contribution of genetic variants to classically used demographic models. Since prediction models include some heritable traits, such as body mass index, the contribution of SNPs using unmatched case-control samples may be underestimated. In this article, we propose a method that uses propensity score matching to avoid underestimation by matching case and control samples, thereby determining the pure additive contribution of SNPs. To illustrate the proposed propensity score matching method, we used SNP data from the Korea Association Resources project and reported SNPs from the genome-wide association study catalog. We selected various SNP sets via stepwise logistic regression (SLR), least absolute shrinkage and selection operator (LASSO), and the elastic-net (EN) algorithm. Using these SNP sets, we made predictions using SLR, LASSO, and EN as logistic regression modeling techniques. The accuracy of the predictions was compared in terms of area under the receiver operating characteristic curve (AUC). The contribution of SNPs to T2D was evaluated by the difference in the AUC between models using only demographic variables and models that included the SNPs. The largest difference among our models showed that the AUC of the model using genetic variants with demographic variables could be 0.107 higher than that of the corresponding model using only demographic variables.

Performance Comparison of Two Gene Set Analysis Methods for Genome-wide Association Study Results: GSA-SNP vs i-GSEA4GWAS

  • Kwon, Ji-Sun;Kim, Ji-Hye;Nam, Doug-U;Kim, Sang-Soo
    • Genomics & Informatics
    • /
    • 제10권2호
    • /
    • pp.123-127
    • /
    • 2012
  • Gene set analysis (GSA) is useful in interpreting a genome-wide association study (GWAS) result in terms of biological mechanism. We compared the performance of two different GSA implementations that accept GWAS p-values of single nucleotide polymorphisms (SNPs) or gene-by-gene summaries thereof, GSA-SNP and i-GSEA4GWAS, under the same settings of inputs and parameters. GSA runs were made with two sets of p-values from a Korean type 2 diabetes mellitus GWAS study: 259,188 and 1,152,947 SNPs of the original and imputed genotype datasets, respectively. When Gene Ontology terms were used as gene sets, i-GSEA4GWAS produced 283 and 1,070 hits for the unimputed and imputed datasets, respectively. On the other hand, GSA-SNP reported 94 and 38 hits, respectively, for both datasets. Similar, but to a lesser degree, trends were observed with Kyoto Encyclopedia of Genes and Genomes (KEGG) gene sets as well. The huge number of hits by i-GSEA4GWAS for the imputed dataset was probably an artifact due to the scaling step in the algorithm. The decrease in hits by GSA-SNP for the imputed dataset may be due to the fact that it relies on Z-statistics, which is sensitive to variations in the background level of associations. Judicious evaluation of the GSA outcomes, perhaps based on multiple programs, is recommended.

Identification of a Copy Number Variation on Chromosome 20q13.12 Associated with Osteoporotic Fractures in the Korean Population

  • Park, Tae-Joon;Hwang, Mi Yeong;Moon, Sanghoon;Hwang, Joo-Yeon;Go, Min Jin;Kim, Bong-Jo
    • Genomics & Informatics
    • /
    • 제14권4호
    • /
    • pp.216-221
    • /
    • 2016
  • Osteoporotic fractures (OFs) are critical hard outcomes of osteoporosis and are characterized by decreased bone strength induced by low bone density and microarchitectural deterioration in bone tissue. Most OFs cause acute pain, hospitalization, immobilization, and slow recovery in patients and are associated with increased mortality. A variety of genetic studies have suggested associations of genetic variants with the risk of OF. Genome-wide association studies have reported various single-nucleotide polymorphisms and copy number variations (CNVs) in European and Asian populations. To identify CNV regions associated with OF risk, we conducted a genome-wide CNV study in a Korean population. We performed logistic regression analyses in 1,537 Korean subjects (299 OF cases and 1,238 healthy controls) and identified a total of 8 CNV regions significantly associated with OF (p < 0.05). Then, one CNV region located on chromosome 20q13.12 was selected for experimental validation. The selected CNV region was experimentally validated by quantitative polymerase chain reaction. The CNV region of chromosome 20q13.12 is positioned upstream of a family of long non-coding RNAs, LINC01260. Our findings could provide new information on the genetic factors associated with the risk of OF.

Demographic Trends in Korean Native Cattle Explained Using Bovine SNP50 Beadchip

  • Sharma, Aditi;Lim, Dajeong;Chai, Han-Ha;Choi, Bong-Hwan;Cho, Yongmin
    • Genomics & Informatics
    • /
    • 제14권4호
    • /
    • pp.230-233
    • /
    • 2016
  • Linkage disequilibrium (LD) is the non-random association between the loci and it could give us a preliminary insight into the genetic history of the population. In the present study LD patterns and effective population size (Ne) of three Korean cattle breeds along with Chinese, Japanese and Mongolian cattle were compared using the bovine Illumina SNP50 panel. The effective population size (Ne) is the number of breeding individuals in a population and is particularly important as it determines the rate at which genetic variation is lost. The genotype data in our study comprised a total of 129 samples, varying from 4 to 39 samples. After quality control there were ~29,000 single nucleotide polymorphisms (SNPs) for which $r^2$ value was calculated. Average distance between SNP pairs was 1.14 Mb across all breeds. Average $r^2$ between adjacent SNP pairs ranged between was 0.1 for Yanbian to 0.3 for Qinchuan. Effective population size of the breeds based on $r^2$ varied from 16 in Hainan to 226 in Yanbian. Amongst the Korean native breeds effective population size of Brindle Hanwoo was the least with Ne = 59 and Brown Hanwoo was the highest with Ne = 83. The effective population size of the Korean cattle breeds has been decreasing alarmingly over the past generations. We suggest appropriate measures to be taken to prevent these local breeds in their native tracts.