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1

재래한우의 혈액단백질 및 효소의 유전적 다형현상

상병찬, 류승희, 이상훈, 한성욱, 이창수

[Kisti 연계] 충남대학교 농업과학연구소 농업과학연구 Vol.22 No.2 1995 pp.170-179

...CC형에서 각각 51.26, 16.81 및 31.93%이었고, 유전자빈도는 Am-I B와 C가 각각 0.597 및 0.403이었다. 6. Hb 좌위는 Hb A와 B 대립유전자가 검출되었으며, 유전자형의 분포는 Hb AA, AB 및 BB형에서 각각 83.19, 16.39 및 0.42%이었고, Hb A와 B의 유전자빈도는 각각 0.914 및 0.086%이었다.

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본 연구는 축협중앙회 한우개량사업소에서 사육하고 있는 한우 238두의 혈청내에 존재하는 혈액 단백질 및 효소의 유전적 다형을 조사하기 위하여, 혈청단백질인 post-transferrin-2(pTf-2), transferrin(Tf), post-albumin(pAlb) 및 albumin(Alb)과 혈청 효소인 ceruloplasmin(Cp) 및 amylase-I(Am-I), 그리고 혈구단백질인 hemoglobin(Hb)을 PAGE(polyacrylamide gel electrophoresis)와 STAGE(starch gel electrophoresis) 방법으로 유전적 다형을 분석하여 이들의 유전자형 및 유전자빈도를 추정하였던바 그 결과는 다음과 같다. 1. 혈청단백질인 pTf-2 좌위는 pTf-2 F와 S의 공우성 대립유전자가 검출되었고, 유전자형은 pTf-2 FF, FS 및 SS 형이 확인되었으며, 이들의 분포는 각각 46.22, 46.64 및 7.14%이었고, 유전자 빈도는 pTf-2 F와 S에서 각각 0.695 및 0.305이었다. 2. Tf 좌위는 Tf A, D1, D2 및 E의 대립유전자가 검출되었으며, 유전자형에 있어서는 Tf AA, ADl, AD2, AE, D1D1, D1D2, D2D2 DIE D2E 및 EE형이 확인되었고, 이들의 분포는 각각 0.84, 13.87, 13.03, 10.92, 22.27, 12.61, 2.94, 15.l3, 6.72 및 1.68%이었으며, 유전자빈도에 있어서는 Tf A, D1, D2 및 E의 빈도가 각각 0.197, 0.430, 0.191 및 0.181이었다. 3. pAlb 좌위는 pAlb F와 S 유전자가 검출되었으며, 유전자형의 분포에 있어서는 pAlb FFFS 및 SS 형이 각각 42.86, 33.19 및 23.95%이었고, 유전자빈도에 있어서는 pAlb F와 S에서 각각 0.595 및 0.405이었으며, Alb에서는 Alb A 유전자 빈도가 1.000이었다. 4. Cp 좌위는 Cp F와 S 유전자가 확인되었으며, 유전자형의 분포는 Cp FF, FS 및 SS 형에서 각각 23.11, 34.87 및 42.02% 이었고, Cp F와 S 유전자빈도는 각각 0.405 및 0.595이었다. 5. Am-I 좌위는 Am-I B와 C 대립유전자가 검출되었으며, 유전자형의 분포는 Am-I BB, BC 및 CC형에서 각각 51.26, 16.81 및 31.93%이었고, 유전자빈도는 Am-I B와 C가 각각 0.597 및 0.403이었다. 6. Hb 좌위는 Hb A와 B 대립유전자가 검출되었으며, 유전자형의 분포는 Hb AA, AB 및 BB형에서 각각 83.19, 16.39 및 0.42%이었고, Hb A와 B의 유전자빈도는 각각 0.914 및 0.086%이었다.

This study was conducted to investigate the genetic constitution of blood proteins and enzymes in 238 Korean Native cattle reared at Korean Native Cattle Breeding Center, National Livestock Cooperative Federation. The genetic polymorphisms of post-transferrin-2(pTf-2), transferrin(Tf), post-albumin(pAlb), albumin(Alb), ceruloplamin(Cp), amylase-I(Am-I) and hemoglobin(Hb) were analyzed by using PAGE(polyacrylamide gel electrophoresis) and STAGE(starch gel electrophoresis). The genotypes and gene frequencies were estimated at these loci for each blood proteins and enzymes. The results obtained from this study were summarized as follows : 1. The pTf-2 locus were identified to be genetically controlled by codominant alleles designated pTf-2 F and S, and the distribution of genotypes were 46.22, 46.64 and 7.14% for pTf-2 FF, FS and SS types, and the gene frequencies of the pTf-2 F and S allele were 0,695 and 0.305, respectiveley. 2. The Tf locus were found to be controlled by Tf A, D1, D2 and E alleles, and the distributioin of genotypes were 0.84, 13.87, 13.03, 10.92, 22.27, 12.61, 2.94, 15.51, 6.72 and 1.68% for Tf AA, AD1, AD2, AE, D1D1, D1D2, D1E, D2E and EE types, and the gene frequencies of Tf A, D1, D2 and E were 0.197, 0.430, 0.191 and 0.081, respectively. 3. The pAlb locus were observed to be controlled by two alleles, pAlb F and S, and the distribution of genotypes were 42.86, 33.19 and 23.95% for pAlb FF, FS and SS types, and the gene frequencies were 0.595 and 0.405 for Tf F and S allele, respectively. Also the gene frequencies of Alb was 1.000 of Alb A allele. 4. The Cp locus were identified to be controlled by Cp F and S allele, and the distribution of genotypes were 23.11, 34.87 and 42.02% for Cp FF, FS and SS types, and the gene frequencies were 0.405 and 0.595 for Cp F and S allele, respectively. 5. The Am-I locus were observed to be genetically controlled by Am-I B and C allele, and the distribution of genotypes were 51.26, 16.81 and 31.92% for Am-I BB, BC and CC types, and the gene frequencies of Am-I B and C alleles were 0.597 and 0.403, respectively. 6. The Hb locus were found to be controlled by Hb A and B alleles, and the distribution of genotypes were 93.19, 16.39 and 0.42% for Hb AA, AB and BB types, and the gene frequencies of Hb A and B alleles were 0.914 and 0.086, respectively.

2

No Association of the TGF-β1 29T/C Polymorphism with Breast Cancer Risk in Caucasian and Asian Populations: Evidence from a Meta-Analysis Involving 55, 841 Subjects

Alqumber, Mohammed A.A., Dar, Sajad Ahmad, Haque, Shafiul, Wahid, Mohd, Singh, Rohit, Akhter, Naseem

[Kisti 연계] 아시아태평양암예방학회 Asian Pacific journal of cancer prevention : APJCP Vol.15 No.20 2014 pp.8725-8734

...CC vs TC: OR= 1.022, 95% CI=0.963-1.085, p-value 0.478; CC vs TT: OR= 1.054, 95% CI=0.898-1.236, p-value 0.522; CC vs TT+ TC: OR= 1.031, 95% CI=0.946-1.124, p-value 0.482; TT vs CC+TC: OR= 0.945, 95% CI=0.827-1.080, p-value 0.403). Similarly, in the subgroup analysis by ethnicity, no association was found in Caucasian (C vs T: OR= 1.041, 95% CI=0.932-1.162, p-value 0.475; CC vs TC: OR= 1.031, 95% CI=0.951-1.118, p-value 0.464; CC vs TT: OR= 1.081, 95% CI=0.865-1.351, p-value 0.493; CC vs TT+TC: OR= 1.047, 95% CI=0.929-1.180, p-value 0.453; TT vs CC+TC: OR= 0.929, 95% CI=0.775-1.114, p-value 0.429;) and Asian populations (C vs T: OR= 1.004, 95% CI=0.908-1.111, p-value 0.931; CC vs TC: OR= 0.991, 95% CI=0.896-1.097, p-value 0.865; CC vs TT: OR= 1.015, 95% CI=0.848-1.214, p-value 0.871; CC vs TT+TC: OR= 1.000, 95% CI=0.909-1.101, p-value 0.994; TT vs CC+TC: OR= 0.967, 95% CI=0.808-1.159, p-value 0.720;). No evidence of publication bias was detected during the analysis. No significant association with breast cancer risk was demonstrated overall or on subgroup (Caucasian and Asian) analysis. It can be concluded that TGF-${\beta}1$ 29T/C polymorphism does not play a role in breast cancer susceptibility in overall or ethnicity-specific manner.

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The transforming growth factor-${\beta}1$ (TGF-${\beta}1$) gene 29 T/C polymorphism is thought to be associated with breast cancer risk. However, reports are largely conflicting and underpowered. We therefore conducted a meta-analysis of all available case-control studies relating the TGF-${\beta}1$ 29T/C polymorphism to the risk of developing breast cancer by including a total of 31 articles involving 24,021 cases and 31,820 controls. Pooled ORs were generated for the allele contrasts, with additive genetic, dominant genetic and recessive genetic models. Subgroup analysis was also performed by ethnicity for the TGF-${\beta}1$ 29T/C polymorphism. No association was found in the overall analysis (C vs T: OR=1.028, 95% CI=0.949-1.114, p-value 0.500; CC vs TC: OR= 1.022, 95% CI=0.963-1.085, p-value 0.478; CC vs TT: OR= 1.054, 95% CI=0.898-1.236, p-value 0.522; CC vs TT+ TC: OR= 1.031, 95% CI=0.946-1.124, p-value 0.482; TT vs CC+TC: OR= 0.945, 95% CI=0.827-1.080, p-value 0.403). Similarly, in the subgroup analysis by ethnicity, no association was found in Caucasian (C vs T: OR= 1.041, 95% CI=0.932-1.162, p-value 0.475; CC vs TC: OR= 1.031, 95% CI=0.951-1.118, p-value 0.464; CC vs TT: OR= 1.081, 95% CI=0.865-1.351, p-value 0.493; CC vs TT+TC: OR= 1.047, 95% CI=0.929-1.180, p-value 0.453; TT vs CC+TC: OR= 0.929, 95% CI=0.775-1.114, p-value 0.429;) and Asian populations (C vs T: OR= 1.004, 95% CI=0.908-1.111, p-value 0.931; CC vs TC: OR= 0.991, 95% CI=0.896-1.097, p-value 0.865; CC vs TT: OR= 1.015, 95% CI=0.848-1.214, p-value 0.871; CC vs TT+TC: OR= 1.000, 95% CI=0.909-1.101, p-value 0.994; TT vs CC+TC: OR= 0.967, 95% CI=0.808-1.159, p-value 0.720;). No evidence of publication bias was detected during the analysis. No significant association with breast cancer risk was demonstrated overall or on subgroup (Caucasian and Asian) analysis. It can be concluded that TGF-${\beta}1$ 29T/C polymorphism does not play a role in breast cancer susceptibility in overall or ethnicity-specific manner.

3

Association Between the FAS/FASL Polymorphisms and Gastric Cancer Risk: A Meta-Analysis

Tian, Jing, Pan, Feng, Li, Jing, Ma, Yan, Cen, Han, Pan, Hai-Feng, Pan, Yue-Yin, Ye, Dong-Qing

[Kisti 연계] 아시아태평양암예방학회 Asian Pacific journal of cancer prevention : APJCP Vol.13 No.3 2012 pp.945-951

...CC versus TT: OR = 1.352, 95% CI = 1.043-1.752, Ph = 0.461, $I^2$ = 0.0) polymorphisms with gastric cancer was found in the codominant model. However, we did not detect any association between gastric cancer and the FAS -670A>G polymorphism. In the subgroup analysis by ethnicity, similar elevated risks were also observed in Asian population for FAS -1377G>A (AA versus GG: OR = 1.309, 95% CI = 1.041-1.646, Ph = 0.240, $I^2$ = 27.3) and FASL -844T>C (CC versus TT: OR = 1.420, 95% CI = 1.081-1.865, Ph = 0.524, $I^2$ = 0.0) polymorphisms. Conclusions: This meta-analysis indicated that FAS -1377G>A and FASL -844T>C polymorphisms might be associated with gastric cancer risk.

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Objective: FAS/FASL gene promoter polymorphisms have been repeatedly associated with gastric cancer risk, but findings are inconclusive across studies. To address a more precise estimation of the relationship, a meta-analysis was performed. Methods: Data were collected from the Pubmed, Medline and EMBASE databases, with the last report up to 1 December, 2011. Crude ORs with 95% CIs were used to assess the strength of the association by (1) the additive, (2) the codominant, (3) the dominant, and (4) the recessive models. Results: A total of seven studies, including six studies on FAS -1377G>A polymorphism, five studies on FAS -670A>G polymorphism, and six studies on FASL -844T>C polymorphism, were identified in the current meta-analysis. Overall, an association of FAS -1377G>A (AA versus GG: OR = 1.313, 95% CI = 1.045-1.650, Ph = 0.347, $I^2$ = 10.8) and FASL -844T>C (CC versus TT: OR = 1.352, 95% CI = 1.043-1.752, Ph = 0.461, $I^2$ = 0.0) polymorphisms with gastric cancer was found in the codominant model. However, we did not detect any association between gastric cancer and the FAS -670A>G polymorphism. In the subgroup analysis by ethnicity, similar elevated risks were also observed in Asian population for FAS -1377G>A (AA versus GG: OR = 1.309, 95% CI = 1.041-1.646, Ph = 0.240, $I^2$ = 27.3) and FASL -844T>C (CC versus TT: OR = 1.420, 95% CI = 1.081-1.865, Ph = 0.524, $I^2$ = 0.0) polymorphisms. Conclusions: This meta-analysis indicated that FAS -1377G>A and FASL -844T>C polymorphisms might be associated with gastric cancer risk.

 
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