• Title/Summary/Keyword: gene environment interactions

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What is Epigenetics? -Focusing on Basic Concepts and Mechanisms- (최근 보건의료분야에서 활발하게 연구되고 있는 "Epigenetics"란 무엇인가? -기본개념 및 기전을 중심으로-)

  • Lee, Sun-Dong;Park, Sung-Kyun;Ko, Seong-Gyu;Shin, Heon-Tae;Kim, Myung-Dong
    • Journal of Society of Preventive Korean Medicine
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    • v.14 no.2
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    • pp.1-12
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    • 2010
  • The individual differences in disease development and susceptibility have been researched primarily on the subject of genes, environment or the interaction between genes and the environment respectively. However, there have been limitations in explaining complex diseases, and the differences in health and diseases in monozygotic and dizygotic twins. Fortunately, thanks to active research on the relationship between genes and the environment, and epigenetics, there has been much progress in the understanding of body's reactions and changes. Epigenetics is referred to as a study of gene expression through the interactions of DNA methylation, chromatin's histone and the change of structure in tail, RNA editing without any change in DNA sequence. In this paper, we introduce the basic concepts and mechanisms of epigenetics. The result of the epigenetics is heritable ; can regulate gene expressions ; is reversible ; and has many variable forms depending on cell types. The influences of epigenetics occur throughout life, but it is mainly determined in utero during early pregnancies. Diseases occur or the risk rises if these influences continue after birth until adult life when problems occur in excess/lack of nutrition, environmental plasticity, or already inputted data. Therefore, there is a need for change and innovation, especially in interest and investment in health education for young women near pregnancies and correct treatment of epigenetic-related diseases.

Association of a p53 Codon 72 Gene Polymorphism with Environmental Factors and Risk of Lung Cancer: a Case Control Study in Mizoram and Manipur, a High Incidence Region in North East India

  • Saikia, Bhaskar Jyoti;Das, Mandakini;Sharma, Santanu Kumar;Sekhon, Gaganpreet Singh;Zomawia, Eric;Singh, Yanglem Mohen;Mahanta, Jagadish;Phukan, Rup Kumar
    • Asian Pacific Journal of Cancer Prevention
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    • v.15 no.24
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    • pp.10653-10658
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    • 2015
  • Background: A very high incidence of lung cancer is observed in Mizoram and Manipur, North East India. We conducted a population based case control study to establish associations of p53 codon 72 polymorphisms and interactions with environmental factors for this high incidence. Material and Methods: A total of 272 lung cancer cases and 544 controls matched for age (${\pm}5years$), sex and ethnicity were collected and p53 codon 72 polymorphism genotypes were analyzed using a polymerase chain based restriction fragment length polymorphism assay. We used conditional multiple logistic regression analysis to calculate adjusted odds ratios and 95% confidence intervals after adjusting for confounding factors. Results: p53 Pro/Pro genotype was significantly associated with increased risk of lung cancer in the study population (adjusted OR=2.14, CI=1.35-3.38, p=0.001). Interactions of the p53 Pro/Pro genotype with exposure to wood smoke (adjusted OR=3.60, CI=1.85-6.98, p<0.001) and cooking oil fumes (adjusted OR=3.27, CI=1.55-6.87, p=0.002), betel quid chewing (adjusted OR=3.85, CI=1.96-7.55, p<0.001), tobacco smoking (adjusted OR=4.42, CI=2.27-8.63, p<0.001) and alcohol consumption (adjusted OR=3.31, CI=1.10-10.03, p=0.034) were significant regarding the increased risk of lung cancer in the study population. Conclusions: The present study provided preliminary evidence that a p53 codon 72 polymorphism may effect lung cancer risk in the study population, interacting synergistically with environmental factors.

Multispecies Interactions in Biofilms and Implications to Safety of Drinking Water Distribution System

  • Reuben, Rine Christopher;Roy, Pravas Chandra;Sarkar, Shovon Lal;Ha, Sang-Do;Jahid, Iqbal Kabir
    • Microbiology and Biotechnology Letters
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    • v.47 no.4
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    • pp.473-486
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    • 2019
  • In the aquatic environment, microorganisms are predominantly organized as biofilms. Biofilms are formed by the aggregation of microbial cells and are surrounded by a matrix of extracellular polymeric substances (EPS) secreted by the microbial cells. Biofilms are attached to various surfaces, such as the living tissues, indwelling medical devices, and piping of the industrial potable water system. Biofilms formed from a single species has been extensively studied. However, there is an increased research focus on multispecies biofilms in recent years. It is important to assess the microbial mechanisms underlying the regulation of multispecies biofilm formation to determine the drinking water microbial composition. These mechanisms contribute to the predominance of the best-adapted species in an aquatic environment. This review focuses on the interactions in the multispecies biofilms, such as coaggregation, co-metabolism, cross-species protection, jamming of quorum sensing, lateral gene transfer, synergism, and antagonism. Further, this review explores the dynamics and the factors favoring biofilm formation and pathogen transmission within the drinking water distribution systems. The understanding of the physiology and biodiversity of microbial species in the biofilm may aid in the development of novel biofilm control and drinking water disinfection processes.

Multi-omics integration strategies for animal epigenetic studies - A review

  • Kim, Do-Young;Kim, Jun-Mo
    • Animal Bioscience
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    • v.34 no.8
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    • pp.1271-1282
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    • 2021
  • Genome-wide studies provide considerable insights into the genetic background of animals; however, the inheritance of several heritable factors cannot be elucidated. Epigenetics explains these heritabilities, including those of genes influenced by environmental factors. Knowledge of the mechanisms underlying epigenetics enables understanding the processes of gene regulation through interactions with the environment. Recently developed next-generation sequencing (NGS) technologies help understand the interactional changes in epigenetic mechanisms. There are large sets of NGS data available; however, the integrative data analysis approaches still have limitations with regard to reliably interpreting the epigenetic changes. This review focuses on the epigenetic mechanisms and profiling methods and multi-omics integration methods that can provide comprehensive biological insights in animal genetic studies.

Genetic Linkage Plays an Important Role in Maintaining Genetic Variability under Stabilizing Selection in Changing Environment

  • Jeung, Min-Gull;Janes N. Thompson, Jr;Lee, Chung-Choo
    • Animal cells and systems
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    • v.1 no.4
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    • pp.619-627
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    • 1997
  • Maintenance of polymorphism in a two-locus system with two alleles under stabilizing selection has been tested by Monte-Carlo simulation. The effect of each allele was additive. Only gene x environment interactions and degree of genetic linkage between loci were considered. There were no other evolutionary forces acting except stabilizing selection. Fixation rates were influenced by the extent of environmental change and the degree of genetic linkage. In most cases, stabilizing selection depleted genetic variability when two loci have a lower degree of linkage (10 cM). When two loci are closely linked (0.1 cM), however, stabilizing selection promoted balanced heterozygotes in changing environments. Thus, environment-dependent selection and recombination rate are important parameters which should be incorporated into mechanisms of maintenance of genetic variability.

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p53 Codon 72 Polymorphism Interactions with Dietary and Tobacco Related Habits and Risk of Stomach Cancer in Mizoram, India

  • Malakar, Mridul;Devi, K. Rekha;Phukan, Rup Kumar;Kaur, Tanvir;Deka, Manab;Puia, Lalhriat;Sailo, Lalrinliana;Lalhmangaihi, T.;Barua, Debajit;Rajguru, Sanjib Kumar;Mahanta, Jagadish;Narain, Kanwar
    • Asian Pacific Journal of Cancer Prevention
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    • v.15 no.2
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    • pp.717-723
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    • 2014
  • Background: This study was carried out to investigate the interaction of p53 codon 72 polymorphism, dietary and tobacco habits with reference to risk of stomach cancer in Mizoram, India. A total of 105 histologically confirmed stomach cancer cases and 210 age, sex and ethnicity matched healthy population controls were included in this study. Materials and Methods: The p53 codon 72 polymorphism was detected by PCR-RFLP and sequencing. H. pylori infection status was determined by ELISA. Information on various dietary and tobacco related habits was recorded with a standard questionnaire. Results: This study revealed that overall, the Pro/Pro genotype was significantly associated with a higher risk of stomach cancer (OR, 2.54; 95%CI, 1.01-6.40) as compared to the Arg/Arg genotype. In gender stratified analysis, the Pro/Pro genotype showed higher risk (OR, 7.50; 95%CI, 1.20-47.0) than the Arg/Arg genotype among females. Similarly, the Pro/Pro genotype demonstrated higher risk of stomach cancer (OR, 6.30; 95%CI, 1.41-28.2) among older people (>60 years). However, no such associations were observed in males and in individuals <60 years of age. Smoke dried fish and preserved meat (smoke dried/sun dried) consumers were at increased risk of stomach cancer (OR, 4.85; 95%CI, 1.91-12.3 and OR, 4.22; 95%CI, 1.46-12.2 respectively) as compared to non-consumers. Significant gene-environment interactions exist in terms of p53 codon 72 polymorphism and stomach cancer in Mizoram. Tobacco smokers with Pro/Pro and Arg/Pro genotypes were at higher risk of stomach cancer (OR, 16.2; 95%CI, 1.72-153.4 and OR, 9.45; 95%CI, 1.09-81.7 respectively) than the non-smokers Arg/Arg genotype carriers. The combination of tuibur user and Arg/Pro genotype also demonstrated an elevated risk association (OR, 4.76; 95%CI, 1.40-16.21). Conclusions: In conclusion, this study revealed that p53 codon 72 polymorphism and dietary and tobacco habit interactions influence stomach cancer development in Mizoram, India.

Differential gene expression profiles of periodontal soft tissue from rat teeth after immediate and delayed replantation: a pilot study

  • Chae, Yong Kwon;Shin, Seo Young;Kang, Sang Wook;Choi, Sung Chul;Nam, Ok Hyung
    • Journal of Periodontal and Implant Science
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    • v.52 no.2
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    • pp.127-140
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    • 2022
  • Purpose: In dental avulsion, delayed replantation usually has an uncertain prognosis. After tooth replantation, complex inflammatory responses promote a return to periodontal tissue homeostasis. Various types of cytokines are produced in the inflammatory microenvironment, and these cytokines determine the periodontal tissue response. This study aimed to identify the gene expression profiles of replanted teeth and evaluate the functional differences between immediate and delayed replantation. Methods: Maxillary molars from Sprague-Dawley rats were extracted, exposed to a dry environment, and then replanted. The animals were divided into 2 groups according to the extra-oral time: immediate replantation (dry for 5 minutes) and delayed replantation (dry for 60 minutes). Either 3 or 7 days after replantation, the animals were sacrificed. Periodontal soft tissues were harvested for mRNA sequencing. Hallmark gene set enrichment analysis was performed to predict the function of gene-gene interactions. The normalized enrichment score (NES) was calculated to determine functional differences. Results: The hallmark gene sets enriched in delayed replantation at 3 days were oxidative phosphorylation (NES=2.82, Q<0.001) and tumor necrosis factor-alpha (TNF-α) signaling via the nuclear factor kappa light chain enhancer of activated B cells (NF-κB) pathway (NES=1.52, Q=0.034). At 7 days after delayed replantation, TNF-α signaling via the NF-κB pathway (NES=-1.82, Q=0.002), angiogenesis (NES=-1.66, Q=0.01), and the transforming growth factor-beta signaling pathway (NES=-1.46, Q=0.051) were negatively highlighted. Conclusions: Differentially expressed gene profiles were significantly different between immediate and delayed replantation. TNF-α signaling via the NF-κB pathway was marked during the healing process. However, the enrichment score of this pathway changed in a time-dependent manner between immediate and delayed replantation.

3',5'-Cyclic Adenosine Monophosphate (cAMP) as a Signal and a Regulatory Compound in Bacterial Cells (원핵세포에서 신호물질 및 조절인자로서의 3',5'-Cyclic Adenosine Monophosphate의 역할)

  • Chun, Se-Jin;Seok, Young-Jae;Lee, Kyu-Ho
    • Microbiology and Biotechnology Letters
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    • v.34 no.4
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    • pp.289-298
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    • 2006
  • 3',5'-cyclic adenosine monophosphate (cAMP) is an important molecule, which mediates diverse cellular processes. For example, it is involved in regulation of sugar uptake/catabolism, DNA replication, cell division, and motility in various acterial species. In addition, cAMP is one of the critical regulators for syntheses of virulence factors in many pathogenic bacteria. It is believed that cAMP acts as a signal for environmental changes as well as a regulatory factor for gene expressions. Therefore, intracellular concentration of cAMP is finely modulated by according to its rates of synthesis (by adenylate cyclase), excretion, and degradation (by cAMP phosphodiesterase). In the present review, we discuss the bacterial physiological characteristics governed by CAMP and the molecular mechanisms for gene regulation by cAMP. Furthermore, the effect of cAMP on phosphotransferase system is addressed.

Genetic Analysis of Complementary Gene Interactions of Pb and Pp Genes for the Purple Pericarp Trait in Rice (흑미의 자색종자과피(Purple pericarp) 형질을 결정하는 상보적 유전자 Pb와 Pp 유전자들의 상호관계 분석)

  • Lee, Kyung Eun;Rahman, Md Mominur;Kim, Jong Bae;Kang, Sang Gu
    • Journal of Life Science
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    • v.28 no.4
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    • pp.398-407
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    • 2018
  • The Purple pericarp (Prp) trait is a trait often bred for in black rice. Generally, the Prp trait is displayed in the color variations of seeds following the 9:3:4 purple, brown, and white ratio, respectively. The Prp trait is a recessive epistasis of two gene interactions; however, it is caused by the two complementation genes Pb and Pp. Here we present a study of the genetic characteristics of the Prp trait using an $F_1$ hybrid with a Pbpb Pppp genotype. This hybrid generated four seed colors with the following numbers: 3 dark purple, 6 medium purple, 3 brown, and 4 white (or 9 purple, 3 brown, and 4 white). However, further biochemical analysis of the all progenies divided them into two groups. One group had the Pb_ Pp_ allelic constitutions and contained cyanidin 3-O-glucoside (C3G) in both the dark purple or medium purple seeds. The other group, however, was absent of C3G in both the brown and white seeds, resulting in a ratio of 9:7, respectively. This segregation revealed the extended Mendelian 9:7 ratios of the complementary gene interactions with a good fitness in ${\chi}^2$ analysis. Further analysis revealed that brown seeds with the Pb_ pppp genotype corresponded with a null C3G, indicating that the Brown pericarp trait in rice is caused by a dominant allele of the Pb gene. Therefore, we conclude that the production of C3G is a main phenotype of the black and purple colored rice in the Prp trait, and it is governed by the complementary gene interactions between Pb and Pp genes.

Directed Causal Network Construction Using Linkage Analysis with Metabolic Syndrome-Related Expression Quantitative Traits

  • Kim, Kyee-Zu;Min, Jin-Young;Kwon, Geun-Yong;Sung, Joo-Hon;Cho, Sung-Il
    • Genomics & Informatics
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    • v.9 no.4
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    • pp.143-151
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    • 2011
  • In this study, we propose a novel, intuitive method of constructing an expression quantitative trait (eQT) network that is related to the metabolic syndrome using LOD scores and peak loci for selected eQTs, based on the concept of gene-gene interactions. We selected 49 eQTs that were related to insulin resistance. A variance component linkage analysis was performed to explore the expression loci of each of the eQTs. The linkage peak loci were investigated, and the "support zone" was defined within boundaries of an LOD score of 0.5 from the peak. If one gene was located within the "support zone" of the peak loci for the eQT of another gene, the relationship was considered as a potential "directed causal pathway" from the former to the latter gene. SNP markers under the linkage peaks or within the support zone were searched for in the database to identify the genes at the loci. Two groups of gene networks were formed separately around the genes IRS2 and UGCGL2. The findings indicated evidence of networks between genes that were related to the metabolic syndrome. The use of linkage analysis enabled the construction of directed causal networks. This methodology showed that characterizing and locating eQTs can provide an effective means of constructing a genetic network.