• Genes and Genomics
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• 제40권12호
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• pp.1331-1338
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• 2018

Although there have been plenty of dominance deviation analysis, few studies have dealt with multiple phenotypes. Because researchers focused on multiple phenotypes (final weight and backfat thickness) of Landrace pigs, the classification of the genes was possible. With genome-wide association studies (GWASs), we analyzed the additive and dominance effects of the single nucleotide polymorphisms (SNPs). The classification of the pig genes into four categories (overdominance in final weight, overdominance in backfat thickness and overdominance in final weight, underdominance in backfat thickness, etc.) can enable us not only to analyze each phenotype's dominant effects, but also to illustrate the gene ontology (GO) analysis with different aspects. We aimed to determine the additive and dominant effect in backfat thickness and final weight and performed GO analysis. Using additive model and dominance deviation analysis in GWASs, Landrace pigs' overdominant and underdominant SNP effects in final weight and backfat thickness were surveyed. Then through GO analysis, we investigated the genes that were classified in the GWASs. The major GO terms of the underdominant effects in final weight and overdominant effects in backfat thickness were ion transport with the SLC8A3, KCNJ16, P2RX7 and TRPC3 genes. Interestingly, the major GO terms in the underdominant effects in the final weight and the underdominant effects in the backfat thickness were the regulation of ion transport with the STAC, GCK, TRPC6, UBASH3B, CAMK2D, CACNG4 and SCN4B genes. These results demonstrate that ion transport and ion transport regulation genes have distinct dominant effects. Through GWASs using the mode of linear additive model and dominance deviation, overdominant effects and underdominant effects in backfat thickness was contrary to each other in GO terms (ion transport and ion transport regulation, respectively). Additionally, because ion transport and ion transport regulation genes are associative with adipose tissue accumulation, we could infer that these two groups of genes had to do with unique fat accumulation mechanisms in Landrace pigs.

• Asian-Australasian Journal of Animal Sciences
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• 제31권12호
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• pp.1863-1870
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• 2018

Objective: The Bayesian first-order antedependence models, which specified single nucleotide polymorphisms (SNP) effects as being spatially correlated in the conventional BayesA/B, had more accurate genomic prediction than their corresponding classical counterparts. Given advantages of $BayesC{\pi}$ over BayesA/B, we have developed hyper-$BayesC{\pi}$, ante-$BayesC{\pi}$, and ante-hyper-$BayesC{\pi}$ to evaluate influences of the antedependence model and hyperparameters for $v_g$ and $s_g^2$ on $BayesC{\pi}$.Methods: Three public data (two simulated data and one mouse data) were used to validate our proposed methods. Genomic prediction performance of proposed methods was compared to traditional $BayesC{\pi}$, ante-BayesA and ante-BayesB. Results: Through both simulation and real data analyses, we found that hyper-$BayesC{\pi}$, ante-$BayesC{\pi}$ and ante-hyper-$BayesC{\pi}$ were comparable with $BayesC{\pi}$, ante-BayesB, and ante-BayesA regarding the prediction accuracy and bias, except the situation in which ante-BayesB performed significantly worse when using a few SNPs and ${\pi}=0.95$. Conclusion: Hyper-$BayesC{\pi}$ is recommended because it avoids pre-estimated total genetic variance of a trait compared with $BayesC{\pi}$ and shortens computing time compared with ante-BayesB. Although the antedependence model in $BayesC{\pi}$ did not show the advantages in our study, larger real data with high density chip may be used to validate it again in the future.

• Journal of Animal Science and Technology
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• 제62권6호
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• pp.765-776
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• 2020

The retinal degenerative disease, progressive retinal atrophy (PRA) is a major reason of vision impairment in canine population. Canine PRA signifies an inherently dissimilar category of retinal dystrophies which has solid resemblances to human retinis pigmentosa. Even though much is known about the biology of PRA, the knowledge about the intricate connection among genetic loci, genes and pathways associated to this disease in dogs are still remain unknown. Therefore, we have performed a genome wide association study (GWAS) to identify susceptibility single nucleotide polymorphisms (SNPs) of PRA. The GWAS was performed using a case-control based association analysis method on PRA dataset of 129 dogs and 135,553 markers. Further, the gene-set and pathway analysis were conducted in this study. A total of 1,114 markers associations with PRA trait at p < 0.01 were extracted and mapped to 640 unique genes, and then selected significant (p < 0.05) enriched 35 gene ontology (GO) terms and 5 Kyoto Encyclopedia of Genes and Genomes (KEGG) pathways contain these genes. In particular, apoptosis process, homophilic cell adhesion, calcium ion binding, and endoplasmic reticulum GO terms as well as pathways related to focal adhesion, cyclic guanosine monophosphate)-protein kinase G signaling, and axon guidance were more likely associated to the PRA disease in dogs. These data could provide new insight for further research on identification of potential genes and causative pathways for PRA in dogs.

• Nutrition Research and Practice
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• 제17권4호
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• pp.789-802
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• 2023

BACKGROUND/OBJECTIVES: Habitual coffee consumption was inversely associated with type 2 diabetes (T2D) and hyperglycemia in observational studies, but the causality of the association remains uncertain. This study tested a causal association of genetically predicted coffee consumption with T2D using the Mendelian randomization (MR) method. SUBJECTS/METHODS: We used five single-nucleotide polymorphisms (SNPs) as instrumental variables (IVs) associated with habitual coffee consumption in a previous genome-wide association study among Koreans. We analyzed the associations between IVs and T2D, fasting blood glucose (FBG), 2h-postprandial glucose (2h-PG), and glycated haemoglobin (HbA1C) levels. The MR results were further evaluated by standard sensitivity tests for possible pleiotropism. RESULTS: MR analysis revealed that increased genetically predicted coffee consumption was associated with a reduced prevalence of T2D; ORs per one-unit increment of log-transformed cup per day of coffee consumption ranged from 0.75 (0.62-0.90) for the weighted mode-based method to 0.79 (0.62-0.99) for Wald ratio estimator. We also used the inverse-variance-weighted method, weighted median-based method, MR-Egger method, and MR-PRESSO method. Similarly, genetically predicted coffee consumption was inversely associated with FBG and 2h-PG levels but not with HbA1c. Sensitivity measures gave similar results without evidence of pleiotropy. CONCLUSIONS: A genetic predisposition to habitual coffee consumption was inversely associated with T2D prevalence and lower levels of FBG and 2h-PG profiles. Our study warrants further exploration.

• Journal of Korean Biological Nursing Science
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• 제25권1호
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• pp.73-85
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• 2023

Purpose: This study focused on identifying the interaction effects of genetic and lifestyle-environmental factors on the development of type 2 diabetes mellitus (T2D). Methods: Study subjects were selected from the Korean Genome and Epidemiology Study (KoGES) from 2001 to 2014. Data on genetic variations, anthropometric measurements, biochemical data, and seven lifestyle factors (diet, physical activity, alcohol drinking, smoking, sleep, depression, and stress) were obtained from 4,836 Koreans aged between 40 and 59 years, including those with T2D at baseline (n = 1,209), newly developed T2D (n= 1,298) and verified controls (n = 3,538). The genetic risk score (GRS) was calculated by using 11 single-nucleotide polymorphisms (SNPs) related to T2D development and the second quartile was used as the reference category. A Cox proportional hazards regression model was used to evaluate the associations of GRS and lifestyle factors with T2D risk, controlling for covariates. Results: Multivariate regression analysis revealed that GRS was the strongest risk factor for T2D, and body mass index (BMI), smoking, drinking, and spicy food preference also increased the risk. Lifestyle/environmental factors that showed significant interactions with GRS were BMI, current smoking, current drinking, fatty food preference, and spicy food preference. Conclusions: Interactions between genetic factors and lifestyle/environmental factors were associated with an increased risk of T2D. The results will be useful to provide a new perspective on genetic profiling for the earlier detection of T2D risk and clues for personalized interventions, which might be more effective prevention strategies or therapies in individuals with a genetic predisposition to T2D.

• Animal Bioscience
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• 제37권5호
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• pp.826-831
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• 2024

Objective: The major histocompatibility complex in chicken demonstrates a great range of variations within varities, breeds, populations and that can eventually influence their immuneresponses. The preset study was conducted to understand the major histocompatibility complex-B (MHC-B) variability in five major populations of Bangladesh native chicken: Aseel, Hilly, Junglefowl, Non-descript Deshi, and Naked Neck. Methods: These five major populations of Bangladesh native chicken were analyzed with a subset of 89 single nucleotide polymorphisms (SNPs) in the high-density MHC-B SNP panel and Kompetitive Allele-Specific polymerase chain reaction genotyping was applied. To explore haplotype diversity within these populations, the results were analyzed both manually and computationally using PHASE 2.1 program. The phylogenetic investigations were also performed using MrBayes program. Results: A total of 136 unique haplotypes were identified within these five Bangladesh chicken populations, and only one was shared (between Hilly and Naked Neck). Phylogenetic analysis showed no distinct haplotype clustering among the five populations, although they were shared in distinct clades; notably, the first clade lacked Naked Neck haplotypes. Conclusion: The present study discovered a set of unique MHC-B haplotypes in Bangladesh chickens that could possibly cause varied immune reponses. However, further investigations are required to evaluate their relationships with global chicken populations.

• Genomics & Informatics
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• 제21권4호
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• pp.48.1-48.8
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• 2023

Liver cancer is the fourth leading cause of death worldwide. Well-known risk factors include hepatitis B virus and hepatitis C virus, along with exposure to aflatoxins, excessive alcohol consumption, obesity, and type 2 diabetes. Genomic variants play a crucial role in mediating the associations between these risk factors and liver cancer. However, the specific variants involved in this process remain under-explored. This study utilized a bioinformatics approach to identify genetic variants associated with liver cancer from various continents. Single-nucleotide polymorphisms associated with liver cancer were retrieved from the genome-wide association studies catalog. Prioritization was then performed using functional annotation with HaploReg v4.1 and the Ensembl database. The prevalence and allele frequencies of each variant were evaluated using Pearson correlation coefficients. Two variants, rs2294915 and rs2896019, encoded by the PNPLA3 gene, were found to be highly expressed in the liver tissue, as well as in the skin, cell-cultured fibroblasts, and adipose-subcutaneous tissue, all of which contribute to the risk of liver cancer. We further found that these two SNPs (rs2294915 and rs2896019) were positively correlated with the prevalence rate. Positive associations with the prevalence rate were more frequent in East Asian and African populations. We highlight the utility of this population-specific PNPLA3 genetic variant for genetic association studies and for the early prognosis and treatment of liver cancer. This study highlights the potential of integrating genomic databases with bioinformatic analysis to identify genetic variations involved in the pathogenesis of liver cancer. The genetic variants investigated in this study are likely to predispose to liver cancer and could affect its progression and aggressiveness. We recommend future research prioritizing the validation of these variations in clinical settings.

• 한국가금학회지
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• 제43권4호
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• pp.273-279
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• 2016

GHSR 유전자 변이에 대한 선행연구는 몇몇의 변이가 닭의 성장형질에 영향을 미칠 수 있으며, 유전자마커로써 활용될 수 있음을 보고하였다. 하지만 한국재래계를 대상으로 하는 유전연구는 매우 미흡하고, 외래계 대상의 유전자마커의 도입에는 검증실험이 선 요구된다. 따라서 본 논문은 GHSR 유전자의 성장형질과의 연관성을 확인하며, 한국재래계에 적용할 수 있는 유전자마커를 제시하고자 하였다. 국립축산과학원에서 사육 중인 6계통의 한국재래계 220수를 공시재료로 하여 닭의 체중과의 연관성이 보고된 바 있는 GHSR 유전자의 c.739+726SNP 유전자형을 PCR-RFLP 방법을 통하여 분석하였다. 이후 집단 내에서 30수를 선발하여 염기서열 분석을 수행함으로써 한국재래계내 유전자 변이를 확인하였다. c.739+726SNP을 포함하여 염기서열 분석을 통해 파악된 유전자 변이와 한국재래계의 경제형질과의 연관성 분석에는 SPSS version 22.0을 이용하였다. c.739+726SNP은 전체계 군(n=220)에서 150일령 체중과 270일령 체중과의 연관성을 확인할 수 있었으며(p<0.01), 모색에 의해 구분된 계통별 분석에서는 한국재래계(Gray) 계군에서 150일령 체중과의 연관성이(p<0.05), 한국재래계(White) 계군에서 산란수와 연관성이 확인되었다(p<0.05). 또한 염기서열 분석을 통해서 확인한 513A>G, 517A>T SNP 유전자형에 따라 각각 체중과 산란수에서 통계적으로 유의미한 차이를 확인할 수 있었다(p<0.05). 이러한 결과는 외래육계와 유전적 차이를 가지는 한국재래계의 유전정보를 제공하고, 적합한 분자유전마커를 개발하는데 기초자료로 활용될 수 있을 것이며, GHSR 유전자내의 유전변이가 분자유전마커 기반의 선발육종에 사용될 수 있을 것이라 사료된다.

• Clinical and Experimental Pediatrics
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• 제52권11호
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• pp.1260-1266
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• 2009

목 적 : 특발성 신증후군은 소아의 가장 흔한 일차성 사구체 질환 중의 하나이다. 신증후군은 초기 경구 스테로이드 치료에 대한 반응에 따라서 임상적으로 스테로이드 반응성 신증후군과 스테로이드 저항성 신증후군으로 분류될 수 있다. 그러나 현재까지 신증후군에서 스테로이드의 정확한 작용 기전은 알려져 있지 않다. 신증후군 환자를 대상으로 여러 가지 유전자 다형성을 분석함으로써 스테로이드 치료에 대한 반응의 차이를 설명하려는 여러 시도들이 있어왔다. 방 법 : 본 연구에서는 190명의 신증후군 환자를 대상으로 NR3C1 유전자 다형성(ER22/23EK, N363S, BclI)을 확인하여 유전형과 임상-병리 양상의 연관성에 대해서 분석하였다. 결 과 : 신증후군 환자의 평균 연령은 4.95세였고 남아가 134명이었다. 11명의 환자는 신증후군의 가족력이 있었다. 그러나 이 환자들을 대상으로 NPHS2, WT1, ACTN4, TRPC6 유전자 분석을 시행한 결과 이상 소견은 발견되지 않았다. 80명의 환자(42.1%)는 초기 스테로이드 저항성이었고 그 중 31명의 환자는 말기 신질환으로 진행하였다. 신장 조직 검사는 113명의 환자를 대상으로 시행되었고 그 중 36명의 환자(31.9%)는 미세변화 신증후군이었고 77명의 환자(68.1%)는 초점성 분절성 사구체 경화증이었다. BclI 유전형을 비교하였을 때 G allele 빈도는 환자군과 대조군에서 차이가 없었다. ER22/23EK과 N363S 유전형은 각각 ER/ER과 NN으로 환자군과 대조군에서 동일한 양상을 보였다. BclI 유전형은 신증후군의 발병 나이, 초기 스테로이드 반응 여부, 신장의 병리학적 소견, 말기 신질환으로의 진행여부와 연관성을 보이지 않았다. 결 론 : 한국 신증후군 환아를 대상으로 한 이 연구 결과는 NR3C1 유전자의 ER22/23EK, N363S 및 BclI 유전자 다형성이 신증후군의 발병, 초기 스테로이드 치료에 대한 반응, 신장의 조직학적 소견 및 신 기능의 저하에 영향을 미치지 않음을 보여준다.

• 응용통계연구
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• 제22권6호
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• pp.1239-1247
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• 2009

인간의 질병 또는 가축의 경제적인 특성에 관한 유전자의 규명은 매우 중요한 관심사이며, 우리나라 축산업을 대표하는 한우의 유전자원 보존과 능력향상은 매우 중요한 과제이다. 이를 연구하기 위해 기존 EST_based SNP 연관지도를 사용하여 발굴한 유전자로 연구되어왔으나 이는 통계학적 모델에 기반한 연관지도 작성법으로 실제 위치와는 차이가 있을 수 있다. 따라서 Lee (2009)에 의해 EST_based SNP 연관지도와 염기서열 분석으로 작성되어지는 Gene on sequence를 함께 고려하여 한우의 경제형질 연관 후보 DNA marker들이 발견되었다. 한편, 통계모형의 상호작용 효과를 고려할 때, 유전자와 같은 범주형 data에서 범주가 많을 경우 상호작용의 조합이 많아지므로 종종 모수들의 상호작용에 대한 해석과 모형을 결정하는 것이 어려울 수 있다. 그래서 비모수적인 방법으로 다중인자 차원축소방법 (MDR)을 사용해왔으며, 사례_대조 데이터에만 적용가능 MDR방법을 연속형 데이터에도 적용하기 위해 CART알고리즘을 적용한 확장된 다중인자 차원축소방법(E-MDR)이 제안되었다. 본 연구에서는 새롭게 발견된 단일염기다형성 (SNP)으로부터 E-MDR방법을 적용하여 한우의 경제형질(일당중체량, 근내지방도)에 영향을 주는 우수 유전자 단일염기다형성을 규명하였다.