• 제목/요약/키워드: Genome-Wide Association Studies (GWAS)

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Recapitulation of Genome-wide Association Study on Chronic Periodontitis in a Korean Population

  • Park, Bo-Ruem;Ma, Jae-Kyung;Park, Kwang-Bum;Hong, Kyung-Won
    • 대한의생명과학회지
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    • 제23권2호
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    • pp.133-137
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    • 2017
  • Periodontitis is the major causation of tooth loss in the elderly population. Multiple risk factors include oral microorganisms, smoking, metabolic syndrome, and genetic factors influence periodontitis development. In this study, we conducted a replication study of using previous Korean GWAS results by examining an independent population. The study population was recruited from Mir Dental Clinic, Daegu, Korea. In total, 93 samples were evaluated from July 2016 to January 2017. The sample groups include relatively older patients (>60 years) with no periodontitis (n = 31) and relatively younger patients (range 40~60 years) with severe periodontitis (n = 62). A total of seven markers which were previously reported to be associated with periodontitis were genotyped. Among the seven SNPs, rs16846206 and rs2392510 showed a significant association by logistic regression analysis and Chi square test, respectively. The former SNP showed significant association with severe periodontitis, whereas this study also showed same tendency in which individuals with the minor allele are significantly more frequent in cases than those in controls. The SNP is located on a coding gene (SLC9C2), where the alanine residue 505 is replaced by glycine (Ala505Gly). The later SNP was significant when differed between case and control groups, but there was no significance by logistic regression analysis when controlled for age and sex as covariant. Although the study population size examined in the current study was relatively smaller compared to previous studies, our results implicated that at least the two SNPs (rs16846206 and rs2392510) might be important candidates for the further genetic study.

A genome-wide association study for the fatty acid composition of breast meat in an F2 crossbred chicken population

  • Eunjin Cho;Minjun Kim;Sunghyun Cho;Hee-Jin So;Ki-Teak Lee;Jihye Cha;Daehyeok Jin;Jun Heon Lee
    • Journal of Animal Science and Technology
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    • 제65권4호
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    • pp.735-747
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    • 2023
  • The composition of fatty acids determines the flavor and quality of meat. Flavor compounds are generated during the cooking process by the decomposition of volatile fatty acids via lipid oxidation. A number of research on candidate genes related to fatty acid content in livestock species have been published. The majority of these studies focused on pigs and cattle; the association between fatty acid composition and meat quality in chickens has rarely been reported. Therefore, this study investigated candidate genes associated with fatty acid composition in chickens. A genome-wide association study (GWAS) was performed on 767 individuals from an F2 crossbred population of Yeonsan Ogye and White Leghorn chickens. The Illumina chicken 60K significant single-nucleotide polymorphism (SNP) genotype data and 30 fatty acids (%) in the breast meat of animals slaughtered at 10 weeks of age were analyzed. SNPs were shown to be significant in 15 traits: C10:0, C14:0, C18:0, C18:1n-7, C18:1n-9, C18:2n-6, C20:0, C20:2, C20:3n-6, C20:4n-6, C20:5n-3, C24:0, C24:1n-9, monounsaturated fatty acids (MUFA) and polyunsaturated fatty acids (PUFA). These SNPs were mostly located on chromosome 10 and around the following genes: ACSS3, BTG1, MCEE, PPARGC1A, ACSL4, ELOVL4, CYB5R4, ME1, and TRPM1. Both oleic acid and arachidonic acid contained the candidate genes: MCEE and TRPM1. These two fatty acids are antagonistic to each other and have been identified as traits that contribute to the production of volatile fatty acids. The results of this study improve our understanding of the genetic mechanisms through which fatty acids in chicken affect the meat flavor.

이미퀴모드로 유발된 건선양 쥐 모델에서 건선 연관 유전자 발현에 대한 면역조직화학적 연구 (Immunohistochemical Study of Psoriasis-related Gene Expression in Imiquimod-induced Psoriasis-like Mouse Model)

  • 김지영;최미라;최종원;박경덕;이영;김창덕;서영준;이증훈
    • 대한피부과학회지
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    • 제56권10호
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    • pp.609-613
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    • 2018
  • Background: Psoriasis is a chronic inflammatory skin disease with an incidence of 0.5~3% of the worldwide population. The pathogenesis of psoriasis is related to dysregulated keratinocyte function and immune reactions. Notably, genetic factors are considered important etiological contributors. Globally, several researchers have recently performed genome-wide association studies (GWAS) to identify the genes related with psoriasis. Objective: We aimed to investigate the expression pattern of 2 candidate genes that were identified by GWAS. These include interleukin 28 receptor alpha (IL28RA) and CUB and Sushi multiple domains 1 (CSMD1). Methods: We applied imiquimod cream to develop a psoriasis-like mouse model and obtained skin tissue. We performed immunohistochemistry to detect the expression of IL-28A and CSMD1. Results: IL28RA expression increased at an early time point such as 1 day after the topical application of 5% imiquimod cream. However, its expression returned to baseline levels 2 weeks after the topical application of imiquimod cream. CSMD1 expression also increased after the topical application of imiquimod, with increased expression particularly observed in the upper epidermal layer. Notably, CSMD1 expression decreased 7 days after imiquimod cream application. Conclusion: These results suggest that IL28RA and CSMD1 may play key roles in the pathogenesis of psoriasis.

Lipoprotein Lipase Polymorphism rs10503669 is Associated with High-density Lipoprotein Cholesterol Levels in Korean Population

  • Sull, Jae Woong;Eom, Yong-Bin;Jee, Sun Ha
    • 대한의생명과학회지
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    • 제20권4호
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    • pp.221-226
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    • 2014
  • High-density lipoprotein (HDL) cholesterol levels are associated with decreased risk of coronary artery disease. Several genome-wide association studies (GWAS) for HDL cholesterol levels have implicated Lipoprotein lipase (LPL) as possibly being causal. Herein, the association between single nucleotide polymorphism (SNP) rs10503669 in the LPL gene and HDL cholesterol levels and triglyceride levels was tested in the Korean population. A total of 994 subjects from Seoul City were included in a replication study with LPL SNP rs10503669. SNP rs10503669 in the LPL gene was associated with mean HDL cholesterol levels (effect per allele 3.13 mg/dL, P<0.0001) and triglyceride levels (effect per allele -18.0 mg/dL, P=0.0026). Subjects with the CA/AA genotype had a 0.42-fold (range 0.23~0.77-fold) lower risk of having abnormal HDL cholesterol levels (<40 mg/dL) than subjects with the CC genotype. When analyzed by gender, the association of LPL was stronger in men than in women. This study clearly demonstrates that genetic variants in LPL influence HDL cholesterol levels and triglyceride levels in Korean adults.

유전지표를 활용한 사상체질 분류모델 (Predictive Models for Sasang Constitution Types Using Genetic Factors)

  • 반효정;이시우;진희정
    • 사상체질의학회지
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    • 제32권2호
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    • pp.10-21
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    • 2020
  • Objectives Genome-wide association studies(GWAS) is a useful method to identify genetic associations for various phenotypes. The purpose of this study was to develop predictive models for Sasang constitution types using genetic factors. Methods The genotypes of the 1,999 subjects was performed using Axiom Precision Medicine Research Array (PMRA) by Life Technologies. All participants were prescribed Sasang Constitution-specific herbal remedies for the treatment, and showed improvement of original symptoms as confirmed by Korean medicine doctor. The genotypes were imputed by using the IMPUTE program. Association analysis was conducted using a logistic regression model to discover Single Nucleotide Polymorphism (SNP), adjusting for age, sex, and BMI. Results & Conclusions We developed models to predict Korean medicine constitution types using identified genectic factors and sex, age, BMI using Random Forest (RF), Support Vector Machine (SVM), and Neural Network (NN). Each maximum Area Under the Curve (AUC) of Teaeum, Soeum, Soyang is 0.894, 0.868, 0.767, respectively. Each AUC of the models increased by 6~17% more than that of models except for genetic factors. By developing the predictive models, we confirmed usefulness of genetic factors related with types. It demonstrates a mechanism for more accurate prediction through genetic factors related with type.

Genome-wide association study reveals genetic loci and candidate genes for average daily gain in Duroc pigs

  • Quan, Jianping;Ding, Rongrong;Wang, Xingwang;Yang, Ming;Yang, Yang;Zheng, Enqin;Gu, Ting;Cai, Gengyuan;Wu, Zhenfang;Liu, Dewu;Yang, Jie
    • Asian-Australasian Journal of Animal Sciences
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    • 제31권4호
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    • pp.480-488
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    • 2018
  • Objective: Average daily gain (ADG) is an important target trait of pig breeding programs. We aimed to identify single nucleotide polymorphisms (SNPs) and genomic regions that are associated with ADG in the Duroc pig population. Methods: We performed a genome-wide association study involving 390 Duroc boars and by using the PorcineSNP60K Beadchip and two linear models. Results: After quality control, we detected 3,5971 SNPs, which included seven SNPs that are significantly associated with the ADG of pigs. We identified six quantitative trait loci (QTL) regions for ADG. These QTLs included four previously reported QTLs on Sus scrofa chromosome (SSC) 1, SSC5, SSC9, and SSC13, as well as two novel QTLs on SSC6 and SSC16. In addition, we selected six candidate genes (general transcription factor 3C polypeptide 5, high mobility group AT-hook 2, nicotinamide phosphoribosyltransferase, oligodendrocyte transcription factor 1, pleckstrin homology and RhoGEF domain containing G4B, and ENSSSCG00000031548) associated with ADG on the basis of their physiological roles and positional information. These candidate genes are involved in skeletal muscle cell differentiation, diet-induced obesity, and nervous system development. Conclusion: This study contributes to the identification of the casual mutation that underlies QTLs associated with ADG and to future pig breeding programs based on marker-assisted selection. Further studies are needed to elucidate the role of the identified candidate genes in the physiological processes involved in ADG regulation.

Genome-wide association study for loin muscle area of commercial crossbred pigs

  • Menghao Luan;Donglin Ruan;Yibin Qiu;Yong Ye;Shenping Zhou;Jifei Yang;Ying Sun;Fucai Ma;Zhenfang Wu;Jie Yang;Ming Yang;Enqin Zheng;Gengyuan Cai;Sixiu Huang
    • Animal Bioscience
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    • 제36권6호
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    • pp.861-868
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    • 2023
  • Objective: Loin muscle area (LMA) is an important target trait of pig breeding. This study aimed to identify single nucleotide polymorphisms (SNPs) and genes associated with LMA in the Duroc×(Landrace×Yorkshire) crossbred pigs (DLY). Methods: A genome-wide association study was performed using the Illumina 50K chip to map the genetic marker and genes associated with LMA in 511 DLY pigs (255 boars and 256 sows). Results: After quality control, we detected 35,426 SNPs, including six SNPs significantly associated with LMA in pigs, with MARC0094338 and ASGA0072817 being the two key SNPs responsible for 1.77% and 2.48% of the phenotypic variance of LMA, respectively. Based on previous research, we determined two candidate genes (growth hormone receptor [GHR] and 3-oxoacid Co A-transferase 1 [OXCT1]) that are associated with fat deposition and muscle growth and found further additional genes (MYOCD, ARHGAP44, ELAC2, MAP2K4, FBXO4, FBLL1, RARS1, SLIT3, and RANK3) that are presumed to have an effect on LMA. Conclusion: This study contributes to the identification of the mutation that underlies quantitative trait loci associated with LMA and to future pig breeding programs based on marker-assisted selection. Further studies are needed to elucidate the role of the identified candidate genes in the physiological processes involved in LMA regulation.

Studies on the Construction of Mutant Diversity Pool (MDP) lines, and their Genomic Characterization in Soybean

  • Dong-Gun Kim;Sang Hoon Kim;Chang-Hyu Bae;Soon-Jae Kwon
    • 한국자원식물학회:학술대회논문집
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    • 한국자원식물학회 2021년도 춘계학술대회
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    • pp.9-9
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    • 2021
  • Mutation breeding is useful for improving agronomic characteristics of various crops. In this study, we constructed soybean Mutant Diversity Pool (MDP) from 1,695 gamma-irradiated mutants through two selection phases over M1 to M12 generations; we selected 523 mutant lines exhibiting at least 30% superior agricultural characteristics, and, second, we eliminated redundant morphological phenotypes in the M12 generation. Finally, we constructed 208 MDP lines and investigated 11 agronomic traits. We then assessed the genetic diversity and inter-relationships of these MDP lines using target region amplification polymorphism (TRAP) markers. Among the different TRAP primer combinations, polymorphism levels and PIC values averaged 59.71% and 0.15, respectively. Dendrogram and population structure analyses divided the MDP lines into four major groups. According to an analysis of AMOVA, the percentage of inter-population variation among mutants was 11.320 (20.6%), whereas mutant inter-population variation ranged from 0.231 (0.4%) to 14.324 (26.1%). Overall, the genetic similarity of each cultivar and its mutants were higher than within other mutant populations. In an analysis of the genome-wide association study (GWAS) using based on the genotyping-by-sequencing (GBS), we detected 66 SNPs located on 13 different chromosomes were found to be highly associated with four agronomic traits: days of flowering (33 SNPs), flower color (16 SNPs), node number (6 SNPs), and seed coat color (11 SNPs). These results are consistent with those previously reported for other genetic resource populations, including natural accessions and recombinant inbred line. Our observations suggest that genomic changes in mutant individuals induced by gamma rays occurred at the same loci as those of natural soybean population. This study has demonstrated that the integration of GBS and GWAS can serve as a powerful complementary approach to gamma-ray mutation for the dissection of complex traits in soybean.

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CART 알고리즘을 활용한 확장된 다중인자 차원축소방법의 검정력 평가 (Power of Expanded Multifactor Dimensionality Reduction with CART Algorithm)

  • 이제영;이종형;이호근
    • Communications for Statistical Applications and Methods
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    • 제17권5호
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    • pp.667-678
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    • 2010
  • 인간의 유전자 상호작용을 분석하기 위해 제시된 다중인자 차원축소방법은 연속형자료에는 적용할 수 없다. 그래서 이를 보완한 CART 알고리즘을 활용한 확장된 다중인자 차원축소방법이 제안되었다. 하지만 CART 알고리즘을 활용한 확장된 다중인자 차원축소방법의 검정력이 밝혀지지 않았다. 따라서 본 연구에서는 모의실험을 통하여 CART 알고리즘을 활용한 확장된 다중인자 차원축소방법의 우수한 검정력을 평가하고, 확인된 검정력을 바탕으로 실제 한우 데이터에 적용하여 한우의 경제형질에 영향을 주는 우수 유전자조합을 규명하였다.

더미 다중인자 차원축소법에 의한 검증력과 주요 유전자 규명 (Power and major gene-gene identification of dummy multifactor dimensionality reduction algorithm)

  • 여정수;라부미;이호근;이성원;이제영
    • Journal of the Korean Data and Information Science Society
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    • 제24권2호
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    • pp.277-287
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    • 2013
  • 광범위 유전자 관련 연구에서는 유전자-유전자 상호작용을 규명하는 것은 매우 중요하다. 최근 유전자-유전자 상호작용을 규명하는데에 대한 많은 연구가 진행되고 있다. 그 중 하나로 더미 다중인자 차원축소법이다. 이 연구의 목적은 모의실험을 통해 유전자-유전자 상호작용 파악하기 위한 더미 다중인자 차원축소의 검증력을 평가하는 것이다. 또한 이 방법을 적용하여 한우모집단에서 경제형질을 위한 단일 염기 다형성의 상호작용 효과를 확인하였다.