Major gene identification for LPL gene in Korean cattles

Jin, Mi-Hyun; Oh, Do Hoon; Lee, Jea-Young

doi:10.7465/jkdi.2013.24.6.1331

Cited by 4 publications

(1 citation statement)

References 9 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Second, Malonyl-CoA, which is a substrate of the biosynthesis of fatty acids converted into 18:0-CoA by the fatty acid synthase ( FASN ) gene and the stearoyl-CoA desaturase ( SCD ) gene, converts stearic acid (C18:0) and palmitic acid (C16:0) into oleic acid (C18:1), which is an MUFA of the w-9 line [11,14,15]. In addition, a number of SNP combinations influencing the quality of Hanwoo have been found using the SCD , FASN , and LPL genes [16–18]. …”

Section: Introductionmentioning

confidence: 99%

Genetic effects of sterol regulatory element binding proteins and fatty acid-binding protein4 on the fatty acid composition of Korean cattle (Hanwoo)

Oh¹,

Lee

Jang

et al. 2016

Asian-Australas J Anim Sci

Self Cite

View full text Add to dashboard Cite

ObjectiveThis study identifies single-nucleotide polymorphisms (SNP) or gene combinations that affect the flavor and quality of Korean cattle (Hanwoo) by using the SNP Harvester method.MethodsFour economic traits (oleic acid [C18:1], saturated fatty acids), monounsaturated fatty acids, and marbling score) were adjusted for environmental factors in order to focus solely on genetic effects. The SNP Harvester method was used to investigate gene combinations (two-way gene interactions) associated with these economic traits. Further, a multifactor dimensionality reduction method was used to identify superior genotypes in gene combinations.ResultsTable 3 to 4 show the analysis results for differences between superior genotypes and others for selected major gene combinations using the multifactor dimensionality reduction method. Environmental factors were adjusted for in order to evaluate only the genetic effect. Table 5 shows the adjustment effect by comparing the accuracy before and after correction in two-way gene interactions.ConclusionThe g.3977-325 T>C and (g.2988 A>G, g.3977-325 T>C) combinations of fatty acid-binding protein4 were the superior gene, and the superior genotype combinations across all economic traits were the CC genotype at g.3977-325 T>C and the AACC, GACC, GGCC genotypes of (g.2988 A>G, g.3977-325 T>C).

show abstract

Section: Introductionmentioning

confidence: 99%

Genetic effects of sterol regulatory element binding proteins and fatty acid-binding protein4 on the fatty acid composition of Korean cattle (Hanwoo)

Oh¹,

Lee

Jang

et al. 2016

Asian-Australas J Anim Sci

Self Cite

View full text Add to dashboard Cite

show abstract

A survey study of farmers' recognition on reality of Hanwoo raising and improving quality : Focused on Gyeongsangbuk-Do

Kim¹,

Oh²,

Jung³

et al. 2014

Journal of the Korean Data and Information Science Society

View full text Add to dashboard Cite

Major gene identification for SREBPs and FABP4 gene which are associated with fatty acid composition of Korean cattle

Lee¹,

Jang²,

Oh³

2015

Journal of the Korean Data and Information Science Society

Self Cite

View full text Add to dashboard Cite

678Jae-Young Lee · Ji-Eun Jang · Dong-Yep Oh 2013b). 본 논문의 분석에 사용된 경제형질은 올레인산 (oleic acid; C18:1), 불포화지방산 (monounsaturated fatty acid; MUFA), 근내지방도 (marbling score; MS)로, 올레인산과 불포화지방산은 쇠고기의 풍미 를 좋게 해주는 것으로 알려져 있으며 (Yoshimura와 Namikawa, 1983), 쇠고기의 육질에 영향을 주는 근내지방도 또한 다즙성, 풍미와 밀접한 관련이 있다 (Lee 등, 1994(Lee 등, , 2013a Monson 등, 2005;Oh, 2014) Step 0. 전체 SNP그룹을 정한다.Major gene identification for SREBPs and FABP4 gene in Korean cattle 679Step 1. 전체 L개의 SNP그룹에서 랜덤으로 k개의 SNP를 A라는 그룹으로 선택, 나머지는 SN Pi로 둔다.Step 2. SN Pi 중 하나와 A그룹의 SNP를 1:1로 k번 교체하여 각각 스코어를 낸다.Step 3.Step 2에서 계산된 스코어 중 가장 큰 값을 A * 로 정한다.Step 4.Step 3에서 나온 A * 그룹의 스코어와 초기A그룹의 스코어를 비교하여Step 5.Step 4에서 그룹이 결정되었다면, SN Pi+1을 이용하여 Step 2∼Step 4를 반복한다.Step 6.Step 2∼Step 5 (q (반복수)=2 or 3)를 반복하며, 최종으로 나온 A * 스코어가 이전의 A스코어 보다 작을 경우 멈추게 된다. A>T, g.2988 A>G, g.3690 G>A, g.3710 G>C, g.3977-325 T>C, g.4221 A>G를 활용하였다 (Oh, 2014. Table 3.2는 k-평균 군집분석을 통해 이분화 된 데이터의 평균, 표준편 차를 나타낸 표이다. Multifactor-dimensionality reduction reveals high-order interactions among estrogen-metabolism genes in sporadic breast cancer. AbstractDisease of human and economic traits of livestocks are affected a lot by gene combination effect rather than a single gene effect. In this study, we used SNPHarvester method that supplement existing method in order to investigate the interaction of these genes. The used genes are SREBPs (g.3270+10274 C>T, g.13544 T>C) and FABP4 (g.2634+1018 A>T, g.2988 A>G, g.3690 G>A, g.3710 G>C, g.3977-325 T>C, g.4221 A>G) that are closely related to the fatty acid composition affecting the meatiness of Korean cattle. The economic traits which are used are oleic acid (C18:1), monounsaturated fatty acid (MUFA), marbling score (MS). First, we have utilized the SNPHarvester method in order to find excellent gene combination, and then used the multifactor dimensionality reduction method in order to identify excellent genotype in gene combination.

show abstract

Major gene identification for LPL gene in Korean cattles

Cited by 4 publications

References 9 publications

Genetic effects of sterol regulatory element binding proteins and fatty acid-binding protein4 on the fatty acid composition of Korean cattle (Hanwoo)

Genetic effects of sterol regulatory element binding proteins and fatty acid-binding protein4 on the fatty acid composition of Korean cattle (Hanwoo)

A survey study of farmers' recognition on reality of Hanwoo raising and improving quality : Focused on Gyeongsangbuk-Do

Major gene identification for SREBPs and FABP4 gene which are associated with fatty acid composition of Korean cattle

Contact Info

Product

Resources

About