高血压易感基因的分子进化

利用家系连锁分析、候选基因法及全基因组关联研究均未能有效发现普通人群的高血压易感基因或位点。遗传学研究表明, 人类许多疾病易感性的形成与走出非洲时的环境适应性进化密切相关, 这为高血压遗传学研究提供了新思路。文章系统综述了高血压易感基因分子进化研究的理论基础和最新进展, 介绍了本研究小组运用分子进化思路在中国汉族人群高血压遗传学研究中的发现, 对未来的研究方向进行了展望, 以期为高血压和其他疾病的遗传学研究提供参考。     

Genetic susceptibility to ageing-associated diseases

The constant and rapid increase of life expectancy in western countries is associated with a major ageing of our populations. In these conditions, we can expect an epidemic progression of most chronic diseases, especially cardiovascular, neurodegenerative and metabolic disorders, the main causes of death in the world. The global burden of these diseases will have a dramatic impact on the health and on the socio-economical context of our societies. From a global point of view, the occurrence and progression of these multifactorial diseases rely upon the nature and intensity of the environmental determinants we are exposed to all life long, but also to our individual genetic susceptibility. Through the determination of this higher susceptibility to an environmental risk factor and the understanding of its mechanisms of action, prevention and management efforts will be better focused. In such multifactorial affections, the development and the transmission of the disease do not follow the simple laws of monogenic Mendelian models. The complexity of this transmission is associated with the influence, at various degrees, of several genes and of a close interaction between this particular genetic susceptibility and environmental risk factors. With the recent development of automated and high throughput molecular biology techniques and their use in epidemiological studies, gene expression regulation and post genomic studies, the determination of sub-groups facing a higher individual genetic susceptibility has begun. This determination will offer new clues for a better-targeted disease management.     

整合冠心病风险SNPs功能及分子网络特征筛选疾病易感基因

目的:冠心病(Coronary Heart Disease,CHD)是一种由多因素(遗传因素、环境因素以及它们之间的相互作用)引起的复杂疾病。本文从遗传因素和分子互作模式识别新的冠心病易感基因。方法:结合冠心病群体遗传SNPs数据和PPI数据,通过群体遗传数据的风险评估、功能SNPs的判定和PPI网络基因的分类,以功能SNPs属性、网络拓扑属性和基因功能属性为特征,利用两步分类的方法筛选新的冠心病易感基因。结果:获得了69个新的冠心病易感基因,其中43个被文献证实与冠心病的发生发展密切相关,且识别的新的易感基因注释的KEGG通路中有很多是已知的易感基因所没有注释到的,如MAPK signaling pathway,Calcium signaling pathway,Focal adhesion和Chemokine signaling pathway等,其中Chemokine signaling pathway被证实是CHD发展的关键通路。结论:应用本文提出的整合筛选策略,能识别与冠心病相关的新的易感基因,可为冠心病的预防、诊断和治疗提供新的研究方向。     

Insight from genome-wide association studies in rheumatoid arthritis and multiple sclerosis

Autoimmune diseases are caused by multiple genes and environmental effects. In addition, genetic contributions and the number of associated genes differ among different diseases and ethnic populations. Genome-wide association studies (GWAS) on rheumatoid arthritis (RA) and multiple sclerosis (MS) show that these diseases share many genetic factors. Recently, in addition to the major histocompatibility complex (MHC) gene, other genetic loci have been found to be associated with the risk for autoimmune diseases. This review focuses on the search for genetic variants that influence the susceptibility to RA and MS as typical autoimmune diseases and discusses the future of GWAS.     

Environmental mutagenesis and use of biomarkers in cancer risk prediction

The field of environmental mutagenesis or toxicology genetics aims to study the genetic damage that leads to mutations produced by physical, chemical and biological agents, to identify these agents and analyze their interactions and ways of action. There are enough experimental and epidemiological evidences implicating mutations in oncogenes, tumor suppressor genes and DNA repair genes as determinants in the onset and progression of the neoplastic process. A valuable tool in public and occupational health is the monitoring of populations exposed to potentially hazardous agents. The objective is to protect the health and quality of life of high risk groups on account of the nature of the agents of exposure. Monitoring of genotoxic effects in exposed populations as well as the analysis of susceptibility polymorphism are visualized as key tools in the realm of future public and occupational health in order to prevent the occurrence of environmental and specially occupational origin of tumors. This paper reviews the main concepts concerning this issue and refers to studies on the subject in Costa Rica.     

Micronuclei frequency in children exposed to environmental mutagens: a review

Cytogenetic monitoring has been traditionally used for the surveillance of populations exposed to genotoxic agents. In recent years sensitivity problems emerged in surveys of populations exposed to low levels of mutagens, and therefore alternative approaches have been explored. Biomonitoring studies in children are a promising field, since because of evident differences in the uptake, metabolism, distribution and excretion of mutagens this population seems to be more susceptible than adults. Further, the effect of major confounders such as cigarettes smoking, occupation, life-style, and dietary factors plays a minor role. Among cytogenetic assays, the micronucleus assay (MN) has several advantages and is increasingly used. A review was then carried out to synthesize the published data on the occurrence of MN in children and adolescents (age range 0-18 years), and to assess the impact of genotoxic exposure on MN frequency. Overall, 20 papers from international literature and 8 Russian papers were included. An effect of age was found within this age range, while the influence of gender on MN frequency was irrelevant. These results were confirmed by the re-analysis of data for 448 children selected from the HUMN database. An effect of chronic and infectious diseases on MN levels has been reported by various authors. Most studies describing the effect of exposure to genotoxic agents (ionizing radiation, chemicals, drugs, environmental tobacco smoke) found an increase of MN in exposed children. The limited number of published papers indicates that the conduct of properly designed studies on the effect of environmental pollutants in children may be difficult. This review confirmed the usefulness of MN assay in biomonitoring studies conducted in children, revealing that in many circumstances investigating children increases the sensitivity of the study, even with low dose exposures.     

Amphibian declines: future directions

Abstract. The amphibian decline problem is complex, and there is no easy solution. I highlight four major areas of future research that should increase our ability to detect declines, elucidate their underlying mechanisms, and advance our capacity to manage and conserve amphibian populations. First, a statistically sensitive monitoring approach is necessary to determine the distribution and abundance of amphibian populations, to assess whether they are declining, and to quantify the extent of declines. Most amphibian populations characteristically fluctuate, detection probabilities may be low for many species and populations tend to decline in numbers between years more often than they increase. These traits make establishing monitoring programmes difficult and distinguishing declines from natural fluctuations challenging. It is thus necessary to determine the best monitoring techniques based on their statistical power and to use appropriate statistical methods for detecting population trends. Secondly, although amphibian population studies occur most commonly at single or few breeding sites, research should occur often at the landscape level, and conservation efforts should focus on suitable habitat (whether or not it is occupied) and dispersal capabilities of species. Metapopulation dynamics are probably important for many species, but we must be cautious how we define metapopulations. That is, the term ‘metapopulation’ is currently used to define a wide range of demographic situations in amphibian populations, each with different management implications. Thirdly, recent advances in molecular genetic techniques make it possible to infer demographic events such as effects of recent fragmentation, bottlenecks or hybridization. Molecular techniques can be used in conjunction with census surveys to bolster knowledge about demographic processes such as declines. Alternatively, in the absence of long‐term census data, molecular data can be used to infer population trends. New genomic approaches may make estimating adaptive genetic variation more feasible. Fourthly, multi‐factorial studies are needed to disentangle the complexity of the several putative causes that probably interact to cause amphibian declines. Recent studies demonstrate the value of a multi‐factorial approach, and more work is needed to elucidate the synergistic effects of multiple environmental factors affecting amphibian populations simultaneously worldwide.     

The impact of new technologies on human population studies

Human population studies involve clinical or epidemiological observations that associate environmental exposures with health endpoints and disease. Clearly, these are the most sought after data to support assessments of human health risk from environmental exposures. However, the foundations of many health risk assessments rest on experimental studies in rodents performed at high doses that elicit adverse outcomes, such as organ toxicity or tumors. Using the results of human studies and animal data, risk assessors define the levels of environmental exposures that may lead to disease in a portion of the population. These decisions on potential health risks are frequently based on the use of default assumptions that reflect limitations in our scientific knowledge. An important immediate goal of toxicogenomics, including proteomics and metabonomics, is to offer the possibility of making decisions affecting public health and public based on detailed toxicity, mechanistic, and exposure data in which many of the uncertainties have been eliminated. Ultimately, these global technologies will dramatically impact the practice of public health and risk assessment as applied to environmental health protection. The impact is already being felt in the practice of toxicology where animal experimentation using highly controlled dose-time parameters is possible. It is also being seen in human population studies where understanding human genetic variation and genomic reactions to specific environmental exposures is enhancing our ability to uncover the causes of variations in human response to environmental exposures. These new disciplines hold the promise of reducing the costs and time lines associated with animal and human studies designed to assess both the toxicity of environmental pollutants and efficacy of therapeutic drugs. However, as with any new science, experience must be gained before the promise can be fulfilled. Given the numbers and diversity of drugs, chemicals and environmental agents; the various species in which they are studied and the time and dose factors that are critical to the induction of beneficial and adverse effects, it is only through the development of a profound knowledge base that toxicology and environmental health can rapidly advance. The National Institute of Environmental Health Sciences (NIEHS), National Center for Toxicogenomics and its university-based Toxicogenomics Research Consortium (TRC), and resource contracts, are engaged in the development, application and standardization of the science upon which to the build such a knowledge base on Chemical Effects in Biological Systems (CEBS). In addition, the NIEHS Environmental Genome Project (EGP) is working to systematically identify and characterize common sequence polymorphisms in many genes with suspected roles in determining chemical sensitivity. The rationale of the EGP is that certain genes have a greater than average influence over human susceptibility to environmental agents. If we identify and characterize the polymorphism in those genes, we will increase our understanding of human disease susceptibility. This knowledge can be used to protect susceptible individuals from disease and to reduce adverse exposure and environmentally induced disease.     

From population genetics to population genomics of forest trees: integrated population genomics approach

Early works by Altukhov and his associates on pine and spruce laid the foundation for Russian population genetic studies on tree species with the use of molecular genetic markers. In recent years, these species have become especially popular as nontraditional eukaryotic models for population and evolutionary genomic research. Tree species with large, cross-pollinating native populations, high genetic and phenotypic variation, growing in diverse environments and affected by environmental changes during hundreds of years of their individual development, are an ideal model for studying the molecular genetic basis of adaptation. The great advance in this field is due to the rapid development of population genomics in the last few years. In the broad sense, population genomics is a novel, fast-developing discipline, combining traditional population genetic approaches with the genomic level of analysis. Thousands of genes with known function and sometimes known genomic localization can be simultaneously studied in many individuals. This opens new prospects for obtaining statistical estimates for a great number of genes and segregating elements. Mating system, gene exchange, reproductive population size, population disequilibrium, interaction among populations, and many other traditional problems of population genetics can be now studied using data on variation in many genes. Moreover, population genomic analysis allows one to distinguish factors that affect individual genes, alleles, or nucleotides (such as, for example, natural selection) from factors affecting the entire genome (e.g., demography). This paper presents a brief review of traditional methods of studying genetic variation in forest tree species and introduces a new, integrated population genomics approach. The main stages of the latter are : (1) selection of genes, which are tentatively involved in variation of adaptive traits, by means of a detailed examination of the regulation and the expression of individual genes and genotypes, with subsequent determination of their complete allelic composition by direct nucleotide sequencing; (2) examination of the phenotypic effects of individual alleles by, e.g., association mapping; and (3) determining the frequencies of the selected alleles in natural population for identification of the adaptive variation pattern in the heterogeneous environment. Through decoding the phenotypic effects of individual alleles and identification of adaptive variation patterns at the population level, population genomics in the future will serve as a very helpful, efficient, and economical tool, essential for developing a correct strategy for conserving and increasing forests and other commercially valuable plant and animal species.     

From population genetics to population genomics of forest trees: Integrated population genomics approach

Early works by Altukhov and his associates on pine and spruce laid the foundation for Russian population genetic studies on tree species with the use of molecular genetic markers. In recent years, these species have become especially popular as nontraditional eukaryotic models for population and evolutionary genome-wide research. Tree species with large, cross-pollinating native populations, high genetic and phenotypic variation, growing in diverse environments and affected by environmental changes during hundreds of years of their individual development, are an ideal model for studying the molecular genetic basis of adaptation. The great advance in this field is due to the rapid development of population genomics in the last few years. In the broad sense, population genomics is a novel, fast-developing discipline, combining traditional population genetic approaches with the genome-wide level of analysis. Thousands of genes with known function and sometimes known genome-wide localization can be simultaneously studied in many individuals. This opens new prospects for obtaining statistical estimates for a great number of genes and segregating elements. Mating system, gene exchange, reproductive population size, population disequilibrium, interaction among populations, and many other traditional problems of population genetics can be now studied using data on variation in many genes. Moreover, population genome-wide analysis allows one to distinguish factors that affect individual genes, allelles, or nucleotides (such as, for example, natural selection) from factors affecting the entire genome (e.g., demography). This paper presents a brief review of traditional methods of studying genetic variation in forest tree species and introduces a new, integrated population genomics approach. The main stages of the latter are: (1) selection of genes, which are tentatively involved in variation of adaptive traits, by means of a detailed examination of the regulation and the expression of individual genes and genotypes, with subsequent determination of their complete allelic composition by direct nucleotide sequencing; (2) examination of the phenotypic effects of individual alleles by, e.g., association mapping; and (3) determining the frequencies of the selected alleles in natural population for identification of the adaptive variation pattern in the heterogeneous environment. Through decoding the phenotypic effects of individual alleles and identification of adaptive variation patterns at the population level, population genomics in the future will serve as a very helpful, efficient, and economical tool, essential for developing a correct strategy for conserving and increasing forests and other commercially valuable plant and animal species.     

Environmental sex reversal,Trojan sex genes,and sex ratio adjustment: conditions and population consequences

The great diversity of sex determination mechanisms in animals and plants ranges from genetic sex determination (GSD, e.g. mammals, birds, and most dioecious plants) to environmental sex determination (ESD, e.g. many reptiles) and includes a mixture of both, for example when an individual’s genetically determined sex is environmentally reversed during ontogeny (ESR, environmental sex reversal, e.g. many fish and amphibia). ESD and ESR can lead to widely varying and unstable population sex ratios. Populations exposed to conditions such as endocrine‐active substances or temperature shifts may decline over time due to skewed sex ratios, a scenario that may become increasingly relevant with greater anthropogenic interference on watercourses. Continuous exposure of populations to factors causing ESR could lead to the extinction of genetic sex factors and may render a population dependent on the environmental factors that induce the sex change. However, ESR also presents opportunities for population management, especially if the Y or W chromosome is not, or not severely, degenerated. This seems to be the case in many amphibians and fish. Population growth or decline in such species can potentially be controlled through the introduction of so‐called Trojan sex genes carriers, individuals that possess sex chromosomes or genes opposite from what their phenotype predicts. Here, we review the conditions for ESR, its prevalence in natural populations, the resulting physiological and reproductive consequences, and how these may become instrumental for population management.     

Use of DNA fingerprinting for human population genetic studies

DNA fingerprinting techniques have been used in population genetic studies on many different kinds of organisms. Here, we present new applications for multilocus DNA fingerprint probes in population studies and demonstrate the applicability of DNA fingerprinting to human population genetics, using M13 phage DNA as a probe. The new approach, which is based on a factor method of numerical coding of non-quantitative data (factor correspondence analysis-FCA), shows good agreement between population position, as indicated by the three principal factors, and ethnogenetic proximity.     

Ionizing radiation and genetic risks: VI. Chronic multifactorial diseases: a review of epidemiological and genetical aspects of coronary heart disease,essential hypertension and diabetes mellitus

This paper provides a broad overview of the epidemiological and genetical aspects of common multifactorial diseases in man with focus on three well-studied ones, namely, coronary heart disease (CHD), essential hypertension (EHYT) and diabetes mellitus (DM). In contrast to mendelian diseases, for which a mutant gene either in the heterozygous or homozygous condition is generally sufficient to cause disease, for most multifactorial diseases, the concepts of `genetic susceptibility' and `risk factors' are more appropriate. For these diseases, genetic susceptibility is heterogeneous. The well-studied diseases such as CHD permit one to conceptualize the complex relationships between genotype and phenotype for chronic multifactorial diseases in general, namely that allelic variations in genes, through their products interacting with environmental factors, contribute to the quantitative variability of biological risk factor traits and thus ultimately to disease outcome. Two types of such allelic variations can be distinguished, namely those in genes whose mutant alleles have (i) small to moderate effects on the risk factor trait, are common in the population (polymorphic alleles) and therefore contribute substantially to the variability of biological risk factor traits and (ii) profound effects, are rare in the population and therefore contribute far less to the variability of biological risk factor traits. For all the three diseases considered in this review, a positive family history is a strong risk factor. CHD is one of the major contributors to mortality in most industrialized countries. Evidence from epidemiological studies, clinical correlations, genetic hyperlipidaemias etc., indicate that lipids play a key role in the pathogenesis of CHD. The known lipid-related risk factors include: high levels of low density lipoprotein cholesterol, low levels of high density lipoprotein cholesterol, high apoB levels (the major protein fraction of the low density lipoprotein particles) and elevated levels of Lp(a) lipoprotein. Among the risk factors which are not related to lipids are: high levels of homocysteine, low activity of paraoxonase and possibly also elevated plasma fibrinogen levels. In addition to the above, hypertension, diabetes and obesity (which themselves have genetic determinants) are important risk factors for CHD. Among the environmental risk factors are: high dietary fat intake, smoking, stress, lack of exercise etc. About 60% of the variability of the plasma cholesterol is genetic in origin. While a few genes have been identified whose mutant alleles have large effects on this trait (e.g., LDLR, familial defective apoB-100), variability in cholesterol levels among individuals in most families is influenced by allelic variation in many genes (polymorphisms) as well as environmental exposures. A proportion of this variation can be accounted for by two alleles of the apoE locus that increase (ϵ4) and decrease (ϵ2) cholesterol levels, respectively. A polymorphism at the apoB gene (XbaI) also has similar effects, but is probably not mediated through lipids. High density lipoprotein cholesterol levels are genetically influenced and are related to apoA1 and hepatic lipase (LIPC) gene functions. Mutations in the apoA1 gene are rare and there are data which suggest a role of allelic variation at or linked LIPC gene in high density lipoprotein cholesterol levels. Polymorphism at the apoA1–C3 loci is often associated with hypertriglyceridemia. The apo(a) gene which codes for Lp(a) is highly polymorphic, each allele determining a specific number of multiple tandem repeats of a unique coding sequence known as Kringle 4. The size of the gene correlates with the size of the Lp(a) protein. The smaller the size of the Lp(a) protein, the higher are the Lp(a) levels. Hyperhomocyst(e)inemia is a risk factor for myocardial infarction, stroke and peripheral vascular disease, but the precise nature and intensity of this association, the biochemical mechanisms involved and the role of environmental factors remain to be fully elucidated. Recently, it has been suggested that polymorphisms in genes that code for paraoxonase may need to be added to the list of genetic risk factors for CHD. There are suggestions that high plasma fibrinogen levels (which is exacerbated by smoking which also lowers high density lipoprotein cholesterol levels) may constitute yet another risk factor for CHD. Essential hypertension (EHYT) affects some 10–25% of the people of the industrial world. Its clinical relevance stems from the fact that it is one of the major risk factors for cardiovascular and renal diseases, especially, stroke, coronary heart disease and end-stage renal disease. The role of genetic factors in EHYT is clearly indicated by family studies in which correlations in blood pressure levels have been studied. The variations in the range and magnitude of these correlations however suggest that other, environmental factors must play an important role and which vary from individual to individual and population to population. No major genes controlling blood pressure have been identified. However during the past five years or so, linkage and association studies have shown that there are at least three gene loci, polymorphism at which may contribute to EHYT: these include the AGT, AT1 and ACE genes. Additionally, the molecular basis of three rare mendelian disorders associated with hypertension, namely those involved in glucocorticosteroid-remediable aldosteronism (GRA), Liddle syndrome and apparent mineralocorticosteroid excess (AME) have been delineated. On the basis of clinical phenotypes, four types of diabetes mellitus are distinguished, of which insulin-dependent diabetes melltius (IDDM) and non-insulin-dependent diabetes mellitus (NIDDM) have been the subject of extensive studies. IDDM is a group of heterogeneous diseases probably resulting from exposure to some environmental agent(s) in those individuals with a genetically-determined susceptibility. IDDM is the result of the destruction of insulin-producing β-cells of the pancreas, principally by immunologically-mediated (autoimmune) mechanisms. The major defined risk factor is genetic susceptibility: apart from IDDM1 (linked to the HLA complex) and IDDM2 (in the insulin gene region) at least 10 other genes are involved, mutations at which cause susceptibility to IDDM. There is recent evidence for the possible involvement of an endogenous retrovirus in the aetiology of acute onset IDDM. NIDDM is a very common disease and its prevalence varies in different populations. As in the case of IDDM, its major determinant is genetic susceptibility. Compared to IDDM, the concordance rates in monozygotic twins and risks to first-degree relatives are higher. With the exception of MODY subtype with earlier onset, most cases have onset in middle or late life. The known geographical variations in the prevalence and studies of migrant populations suggest that environmental factors might also be important. The number of genes mutations at which cause susceptibility to NIDDM is not yet known and so far, one putative major gene locus has recently been identified in a Mexican–American population. Several candidate genes are currently being investigated. The available data indicate that some of the genes act through inherited susceptibility to insulin resistance and to decreased capacity for insulin secretion. Rare forms are due to dominant mutations i.e., the MODY diabetes and rarer still are forms due to the production of abnormal insulin due to mutations in the insulin gene itself. Finally, a small proportion of diabetes may be due to mutations in the mitochondrial genome. The attributes, risk factors and interrelationships between the three diseases considered in this review clearly show that the task of using this information for reliably predicting the risk of any of these diseases is formidable, even for a scenario of no radiation exposures, not to mention radiation scenarios. Nonetheless, these data provide a useful framework for developing models aimed at quantifying the response of these diseases to an increase in mutation rate due to radiation. One such model is discussed in a later paper of this series.     

Susceptibility to cholesterol gallstone formation: evidence that LITH genes also encode immune-related factors

Cholesterol gallstones are solid calculi that form in the gallbladder from bile constituents and chiefly comprise cholesterol. Cholesterol gallstones are prevalent and costly for healthcare systems. In addition to various environmental factors, genetic risk contributes substantially to gallstone susceptibility. Candidate gene approaches to identify contributory genes are based on prior knowledge of gene-protein function. Whether selected from the entire genome or from limited genomic regions detected by experimental linkage analyses, thus far, candidate genes predominantly were related to lipid homeostasis. Alternatively, comprehensive review of available data suggests that a fundamental driving force underlying cholesterol gallstone formation is inflammation. Therefore, we predict that Lith genes in mice and LITH genes in humans also encode inflammatory molecules, their receptors and other mediators. Indeed, many Lith loci, defined experimentally using inbred mouse models, co-localise with genes that encode inflammation-related proteins. Systematic review of the literature reveals evidence consistent with inflammatory responses that may dictate each of the three cornerstones of cholesterol gallstone formation: biliary cholesterol supersaturation; cholesterol nucleation; gallbladder hypomotility. Genetically targeted inbred mice represent a powerful tool to interrogate the relationship between immune-related genes and gallstone susceptibility. We urge researchers to consider inflammation-related genes when designing population case-control genetic association studies pertaining to the genetic basis of gallstones. Immune and inflammatory events underlie each criterion necessary for cholesterol gallstone formation, which suggests that variation within the respective genes is fundamental for gallstone formation. In turn, inflammatory mediators may exert a spectrum of effects in response to genetic variation within lipid homeostatic genes.     

Genetic susceptibility to chronic Chagas disease: an overview of single nucleotide polymorphisms of cytokine genes

Chagas disease is a parasitic infection that is a significant public health problem in Latin America. The mechanisms responsible for susceptibility to the infection and the mechanisms involved in the development of cardiac and digestive forms of chronic Chagas disease remain poorly understood. However, there is growing evidence that differences in susceptibility in endemic areas may be attributable to host genetic factors. The aim of this overview was to analyze the genetic susceptibility to human Chagas disease, particularly that of single nucleotide polymorphisms of cytokine genes. A review of the literature was conducted on the following databases: PubMed/MEDLINE and Scopus. The search strategy included using the following terms: "Cytokines", "Single Nucleotide Polymorphisms" and "Chagas Disease". After screening 25 citations from the databases, 19 studies were selected for the overview. A critical analysis of the data presented in the articles suggests that genetic susceptibility to Chagas disease and chronic Chagas cardiomyopathy is highly influenced by the complexity of the immune response of the host. Follow-up studies based on other populations where Chagas disease is endemic (with distinct ethnic and genetic backgrounds) need to be conducted. These should use a large sample population so as to establish what cytokine genes are involved in susceptibility to and/or progression of the disease.     

Pathway analysis of seven common diseases assessed by genome-wide association

Recent genome-wide association studies (GWAS) have identified DNA sequence variations that exhibit unequivocal statistical associations with many common chronic diseases. However, the vast majority of these studies identified variations that explain only a very small fraction of disease burden in the population at large, suggesting that other factors, such as multiple rare or low-penetrance variations and interacting environmental factors, are major contributors to disease susceptibility. Identifying multiple low-penetrance variations (or "polygenes") contributing to disease susceptibility will be difficult. We present a pathway analysis approach to characterizing the likely polygenic basis of seven common diseases using the Wellcome Trust Case Control Consortium (WTCCC) GWAS results. We identify numerous pathways implicated in disease predisposition that would have not been revealed using standard single-locus GWAS statistical analysis criteria. Many of these pathways have long been assumed to contain polymorphic genes that lead to disease predisposition. Additionally, we analyze the genetic relationships between the seven diseases, and based upon similarities with respect to the associated genes and pathways affected in each, propose a new way of categorizing the diseases.     

Survival of three species of anuran metamorphs exposed to UV-B radiation and the pathogenic fungus Batrachochytrium dendrobatidis

When exploring the possible factors contributing to population declines, it is necessary to consider multiple, interacting environmental stressors. Here, we investigate the impact of 2 factors, ultraviolet radiation and disease, on the survival of anuran amphibians. Exposure to ultraviolet-B (UV-B) radiation increases mortality and results in various sub-lethal effects for many amphibian species. Infectious diseases can also negatively impact amphibian populations. In this study, we exposed metamorphic individuals (metamorphs) to both UV-B and Batrachochytrium dendrobatidis (BD), a fungal pathogen and cause of the disease chytridiomycosis, and monitored survival for 3 wk. We tested for possible interactions between UV-B and BD in 3 species: the Cascades frog Rana cascadae; the Western toad Bufo boreas; and the Pacific treefrog Hyla regilla. We found strong interspecific differences in susceptibility to BD. For example, R. cascadae suffered a large increase in mortality when exposed to BD; B. boreas also experienced mortality, but this effect was small relative to the R. cascadae response. H. regilla did not show any decrease in survival when exposed to either factor. No synergistic interactions between UV-B and BD were found for any of the test species. A previous study investigating the impact of BD on larval amphibians showed different species responses (Blaustein et al. 2005a). Our results highlight the importance of studying multiple life history stages when determining the impact of environmental stressors. The contrast between these 2 studies emphasizes how vulnerability to a pathogen can vary between life history stages within a single species.     

Imaging genetic influences in human brain function

The association between genes and brain function using functional brain imaging techniques is an emerging and promising area of research that will help to better characterize the influence of genes on cognition and behavior as well as the link between genetic susceptibility and neuropsychiatric disorders. Neurophysiological imaging provides information regarding the effect of genes on brain function at the level of information processing, and neurochemical imaging provides information on the intrinsic mechanisms on how these genes affect the brain response. In this review, we highlight recent studies that have begun to explore the influence of genetic mutations on brain function with these techniques. The results, even from these few studies, illustrate the potential of these techniques to provide a more sensitive assay than behavioral measures used alone. The results also show that neuroimaging techniques can elucidate the influence of genes on brain function in relatively small sample populations, sometimes even in the absence of significant differences in behavioral measures.     

Introduction to Deep Sequencing and Its Application to Drug Addiction Research with a Focus on Rare Variants

Through linkage analysis, candidate gene approach, and genome-wide association studies (GWAS), many genetic susceptibility factors for substance dependence have been discovered such as the alcohol dehydrogenase gene (ALDH2) for alcohol dependence (AD) and nicotinic acetylcholine receptor (nAChR) subunit variants on chromosomes 8 and 15 for nicotine dependence (ND). However, these confirmed genetic factors contribute only a small portion of the heritability responsible for each addiction. Among many potential factors, rare variants in those identified and unidentified susceptibility genes are supposed to contribute greatly to the missing heritability. Several studies focusing on rare variants have been conducted by taking advantage of next-generation sequencing technologies, which revealed that some rare variants of nAChR subunits are associated with ND in both genetic and functional studies. However, these studies investigated variants for only a small number of genes and need to be expanded to broad regions/genes in a larger population. This review presents an update on recently developed methods for rare-variant identification and association analysis and on studies focused on rare-variant discovery and function related to addictions.     

The use of variance in enzyme activity as an indicator of long-term exposure to toxicant-stressed environments in Culex pipiens mosquitoes

1. The identification of easy to use and cheap biomarkers is important as a means of determining whether animals are developing under stressful environmental conditions. Previous studies have indicated that the variance about the mean esterase activity in toxic environments increases in the absence of a significant shift in the mean value, suggesting that variance levels may have potential as a biomarker of toxicant-stressed or otherwise stressful environments.
2. Several field and laboratory populations of the mosquito, Culex pipiens , were examined for esterase activities using a colorimetric assay and levels of polymorphism using polyacrylamide gel electrophoresis. Some of these populations had been exposed to environmental toxicants (organophosphorus (OP) insecticides).
3. The OP-stressed field population had lower levels of polymorphism as indicated by fewer electromorphs than the populations that had not been exposed to OPs. However, the mean level of esterase activity was higher in the OP-stressed populations.
4. Despite having lower genetic variation, the OP-stressed populations showed much higher levels of variation about the mean enzyme activity, at least two orders of magnitude higher, than the unstressed populations. Knowledge of the genetics of OP resistance in these populations confirmed that the increase in variance was not due to the general switching on of genes in response to stress.
5. One field population that had been exposed to heavy metal pollution had similar levels of esterase activity and variation about the mean as the unstressed populations, suggesting that variation only increases in characters directly affected by the environmental pollutant.
6. The probable factors causing the increase in variance and the potential of this type of variation as a biomarker of stressful environments are discussed.