The balance between heritable and environmental aetiology of human disease

The Human Genome Project and the ensuing International HapMap Project were largely motivated by human health issues. But the distance from a DNA sequence variation to a novel disease gene is considerable; for complex diseases, closing this gap hinges on the premise that they arise mainly from heritable causes. Using cancer as an example of complex disease, we examine the scientific evidence for the hypothesis that human diseases result from interactions between genetic variants and the environment.     

Modularity in the genetic disease-phenotype network

Similar disease phenotypes are engendered as a result of the modular nature of gene networks; thus we hypothesized that all human genetic disease phenotypes appear in similar modular styles. Network representations of phenotypes make it possible to explore this hypothesis. We investigated the modularity of a network of genetic disease phenotypes. We computationally extracted phenotype modules and found that the modularity is well correlated with a physiological classification of human diseases. We also found correlations between the modularity and functional genomics as well as its connection to drug-target associations.     

Five reasons why inbreeding may have considerable effect on post-reproductive human health

As the genetic architecture of common complex diseases of late onset is emerging through intensive research, it is intriguing to assess the predicted effect of inbreeding on those diseases. In this paper, we propose five reasons why we believe inbreeding may have a considerable effect on post-reproductive human health. (i) The joint effect of inbreeding depression on all polygenic quantitative phenotypes that confer risk for late-onset diseases is predicted to be multiplicative rather than additive. (ii) The "genetic load" of rare "Mendelian" variants with large deleterious effects in post-reproductive adults is unknown, but could be much greater than expected as these variants were invisible to selection through human history. (iii) Deleterious effects resulting from autozygosity in hundreds of affected rare recessive variants of small effect under common disease/rare variant (CD/RV) hypothesis could result in epistatic effects that could jointly impair capacity to compensate against environmental risks. (iv) Heterozygote advantage in loci under balancing selection could be reduced by inbreeding. (v) Published empirical evidence in animals and humans consistently report large inbreeding effects on late-onset traits. Since inbreeding is common in many populations and the effects of inbreeding depression could substantially contribute to disease burden and reduced life expectancy we believe there is now a clear need for further genetic epidemiological research in humans to investigate this issue.     

Genomic aspects of sporadic neurodegenerative diseases

Sporadic neurodegenerative diseases are complex in nature, that is, they involve multiple genetic and environmental factors that may play roles at the molecular level. In contrast to diseases with Mendelian inheritance, the genomic signatures of common sporadic forms of neurodegenerative diseases largely remain unknown. Over the past decade, genome-wide association studies employing common single-nucleotide polymorphisms have been intensively conducted, in which the theoretical framework is based on the “common disease–common variants” hypothesis. Another paradigm is a sequence-based association study under the “common disease–multiple rare variants” hypothesis. Because current next-generation sequencing technologies enable us to obtain virtually all the variants in human genome irrespective of allele frequencies, it is anticipated that sequence-based association studies will become the mainstream approach. In this review, we present brief overviews of molecular genetic approaches to elucidate the molecular bases of sporadic forms of neurodegenerative diseases, including Alzheimer disease, Parkinson disease, and multiple system atrophy as examples.     

The human genome project--some implications of extensive "reverse genetic" medicine

Impressive progress has been made during the past several decades in understanding the pathogenesis of human genetic disease. The tools of molecular biology have allowed the isolation of many disease-related genes by forward and a few by reverse genetics, and the imminent completion of a complete human genetic linkage map will accelerate the genetic characterization of many more genetic diseases. The major impacts of the molecular characterization of human genetic diseases will be 1. To increase markedly the number of human diseases that we recognize to have major genetic components. We already understand that genetic diseases are not rare medical curiosities with negligible societal impact, but rather constitute a wide spectrum of both rare and extremely common diseases responsible for an immense amount of suffering in all human societies. The characterization of the human genome will lead to the identification of genetic factors in many more human diseases, even those that now seem too multifactorial or polygenic for ready understanding. 2. To allow the development of powerful new approaches to diagnosis, detection, screening and even therapy of these disorders aimed directly at the mutant genes rather than at the gene products. This should eventually allow much more accurate and specific management of human genetic disease and the genetic factors in many human maladies. The preparation of a fine-structure physical map of the entire human genome together with an overlapping contiguous set of clones spanning entire chromosomes or large portions of chromosomes is rapidly becoming feasible, and the information that will flow from this effort promises eventually to affect the management of many important genetic diseases.(ABSTRACT TRUNCATED AT 250 WORDS)     

Evolution of genetic diversity and human diseases

The problem of development and dispersion of complex diseases in human populations requires new views, approaches, hypotheses, and paradigms. Evolutionary medicine provides one of the promising approaches to this problem, putting the disease into an evolutionary context. Unlike classic approaches oriented to proximate issues on structure and mechanisms of a disease, evolutionary considerations are broader. It provides the basis for understanding the origin, dispersion, and maintenance of the high frequencies of pathological phenotypes in modern human populations. In the current paper, we try to review the modern concepts on the evolution of human genetic diversity, to shape the outlines of evolutionary medicine, and to illustrate evolutionary medical problems using our experimental data. Data on genome-wide search for the signals of decanalization and adaptation in the human genome and on related biological processes and diseases are presented. Some hypotheses and concepts of evolutionary medicine may be productive for revealing the mechanisms of origin and dispersion of complex diseases and for pathogenetics of multifactorial diseases. One of such concepts is the hypothesis of decanalization of genome–phenome relationships under natural selection during modern human dispersion. Probably, the high frequency of alleles associated with complex diseases (and partially the high prevalence of diseases themselves) could be explained in the framework of the hypothesis.     

Does ABO phenotype affect the penetrance or severity of genetic disorder?

The present hypothesis states that there may be some pleiotropic effects of the ABO genes on penetrance or severity of human genetic disorders which may help in preventing and curing the diseases.     

Intralocus sexual conflict can drive the evolution of genomic imprinting

Genomic imprinting is a phenomenon whereby the expression of an allele differs depending upon its parent of origin. There is an increasing number of examples of this form of epigenetic inheritance across a wide range of taxa, and imprinting errors have also been implicated in several human diseases. Various hypotheses have been put forward to explain the evolution of genomic imprinting, but there is not yet a widely accepted general hypothesis for the variety of imprinting patterns observed. Here a new evolutionary hypothesis, based on intralocus sexual conflict, is proposed. This hypothesis provides a potential explanation for much of the currently available empirical data, and it also makes new predictions about patterns of genomic imprinting that are expected to evolve but that have not, as of yet, been looked for in nature. This theory also provides a potential mechanism for the resolution of intralocus sexual conflict in sexually selected traits and a novel pathway for the evolution of sexual dimorphism.     

人类疾病的动物模型

发展对人类疾病有效的预测、预防、诊断和治疗等途径,一直是人口健康领域关注的焦点.任何人类疾病似乎都可归咎于遗传背景和环境因素的共同作用,并影响到疾病的发生、病程、药物疗效和预后等.最有效的研究策略足直接针对患者的各方面临床研究,但这一策略常常会而临着同一临床症状却有不同病因(异质性)、个体差异显著(如治疗效果因人而异)以及难以回溯性地研究人类疾病的发生、发展(如发病以前的事件或经历)等问题,而且医学伦理学的要求使得大量医学研究和新药新疗法不能直接应用于人体,必须先有动物实验阐明其安全性和必要性.最佳的研究策略足创建人类疾病的动物模型,因为可严格地控制病因、遗传背景、环境因子等,也可跟踪性研究动物模型病症的发生、发展、治疗反应和结局等,但这一策略也常常面临着一系列问题和误解.对此,在<动物学研究>出版<灵长类动物与人类疾病模型>专刊之际,撰写此评述性论文,将系列问题和误解一一提出,并讨论其应对策略.     

竞争性内源RNA:一种全新的基因表达调控模式

竞争性内源RNA(ceRNA)假说是一种全新的基因表达调控模式:mRNA、假基因转录物和长链非编码RNA等转录物通过microRNA应答元件竞争结合相同的microRNA来调控各自的表达水平,从而影响细胞的功能.迄今为止,多家实验室已从生物信息学、细胞生物学和动物实验等层面验证了该假说.本文追溯了ceRNA假说提出的历程,讨论了ceRNA调控网络的影响因素,并提出了一些有待进一步完善的内容.ceRNA假说大大拓展了人类基因组中功能遗传信息的范畴,也为解析一些人类疾病发生的机制提供了新线索.     

Antagonistic pleiotropy,mutation accumulation,and human genetic disease

The antagonistic pleiotropy theory of senescence is the most convincing theoretical explanation of the existence of aging. As yet, no locus or allele has been identified in a wild population with the features predicted by the pleiotropic theory. Human genetic diseases offer the opportunity to identify potentially pleiotropic alleles/loci. Four human genetic diseases—Huntington's disease, idiopathic hemochromatosis, myotonic dystrophy, and Alzheimer's disease—may exhibit pleiotropic effects and further study of these diseases might result in the identification of pleiotropic genes causing aging. Inability to find an early life selective benefit associated with these disease-causing alleles would favor the major alternative genetic explanation for aging, the mutation accumulation theory.     

Simulations provide support for the common disease-common variant hypothesis

The success of mapping genes involved in complex diseases, using association or linkage disequilibrium methods, depends heavily on the number and frequency of susceptibility alleles of these genes. These methods will be economically and statistically feasible if common diseases are usually influenced by one or a few susceptibility alleles at each locus (common disease-common variant, CDCV, hypothesis), but not so if there is a high degree of allelic heterogeneity. Here, we use forward-time population simulations to investigate the impact of various genetic and demographic factors on the allelic spectra of human diseases, on the basis of two models proposed by Reich and Lander and by Pritchard. Factors considered are more complex demographies, a finite-allele mutation model, population structure and migration, and interaction between disease susceptibility loci. The conclusion is that the CDCV hypothesis holds and that the phenomenon is caused by transient effects of demography (population expansion). As a result, we devise a multilocus generalization of the Reich and Lander model and demonstrate how interaction between loci with respect to their response to selection may lead to complex effects. We discuss the implications for mapping of complex diseases.     

Disease-Aging Network Reveals Significant Roles of Aging Genes in Connecting Genetic Diseases

One of the challenging problems in biology and medicine is exploring the underlying mechanisms of genetic diseases. Recent studies suggest that the relationship between genetic diseases and the aging process is important in understanding the molecular mechanisms of complex diseases. Although some intricate associations have been investigated for a long time, the studies are still in their early stages. In this paper, we construct a human disease-aging network to study the relationship among aging genes and genetic disease genes. Specifically, we integrate human protein-protein interactions (PPIs), disease-gene associations, aging-gene associations, and physiological system–based genetic disease classification information in a single graph-theoretic framework and find that (1) human disease genes are much closer to aging genes than expected by chance; and (2) diseases can be categorized into two types according to their relationships with aging. Type I diseases have their genes significantly close to aging genes, while type II diseases do not. Furthermore, we examine the topological characters of the disease-aging network from a systems perspective. Theoretical results reveal that the genes of type I diseases are in a central position of a PPI network while type II are not; (3) more importantly, we define an asymmetric closeness based on the PPI network to describe relationships between diseases, and find that aging genes make a significant contribution to associations among diseases, especially among type I diseases. In conclusion, the network-based study provides not only evidence for the intricate relationship between the aging process and genetic diseases, but also biological implications for prying into the nature of human diseases.     

Genetics and recent human evolution

Starting with "mitochondrial Eve" in 1987, genetics has played an increasingly important role in studies of the last two million years of human evolution. It initially appeared that genetic data resolved the basic models of recent human evolution in favor of the "out-of-Africa replacement" hypothesis in which anatomically modern humans evolved in Africa about 150,000 years ago, started to spread throughout the world about 100,000 years ago, and subsequently drove to complete genetic extinction (replacement) all other human populations in Eurasia. Unfortunately, many of the genetic studies on recent human evolution have suffered from scientific flaws, including misrepresenting the models of recent human evolution, focusing upon hypothesis compatibility rather than hypothesis testing, committing the ecological fallacy, and failing to consider a broader array of alternative hypotheses. Once these flaws are corrected, there is actually little genetic support for the out-of-Africa replacement hypothesis. Indeed, when genetic data are used in a hypothesis-testing framework, the out-of-Africa replacement hypothesis is strongly rejected. The model of recent human evolution that emerges from a statistical hypothesis-testing framework does not correspond to any of the traditional models of human evolution, but it is compatible with fossil and archaeological data. These studies also reveal that any one gene or DNA region captures only a small part of human evolutionary history, so multilocus studies are essential. As more and more loci became available, genetics will undoubtedly offer additional insights and resolutions of human evolution.     

Pathogen-driven selection and worldwide HLA class I diversity

The human leukocyte antigen (HLA; known as MHC in other vertebrates) plays a central role in the recognition and presentation of antigens to the immune system and represents the most polymorphic gene cluster in the human genome [1]. Pathogen-driven balancing selection (PDBS) has been previously hypothesized to explain the remarkable polymorphism in the HLA complex, but there is, as yet, no direct support for this hypothesis [2 and 3]. A straightforward prediction coming out of the PDBS hypothesis is that populations from areas with high pathogen diversity should have increased HLA diversity in relation to their average genomic diversity. We tested this prediction by using HLA class I genetic diversity from 61 human populations. Our results show that human colonization history explains a substantial proportion of HLA genetic diversity worldwide. However, between-population variation at the HLA class I genes is also positively correlated with local pathogen richness (notably for the HLA B gene), thus providing support for the PDBS hypothesis. The proportion of variations explained by pathogen richness is higher for the HLA B gene than for the HLA A and HLA C genes. This is in good agreement with both previous immunological and genetic data suggesting that HLA B could be under a higher selective pressure from pathogens.     

Leprosy: a paradigm for the study of human genetic susceptibility to infectious diseases

Fifty years ago, the first identification of a non Mendelian genetic contribution to the development of a common infectious disease, i.e. the association between malaria and sickle-cell trait, was shown using a supervised approach which tests a limited number of candidate genes selected by hypothesis. Since then, the few genes that were convincingly associated with susceptibility to human infectious diseases were identified following the same strategy. The study of leprosy has contributed to modifying this way of thinking. In the absence of a satisfying experimental model and because of the impossibility to grow the causative agent in vitro, the candidate gene approach has turned out to be of limited interest. Conversely, positional cloning led to the identification of two major genes involved in the control of the disease, establishing for the first time the oligogenic nature of a human genetic contribution to an infectious disease. It is likely that these major results obtained in leprosy and the recent burst of genomic tools will make the genome-wide screening (functional or positional) the main strategy of dissection of the genetic susceptibility to many common infectious diseases.     

Adaptive evolution of genes underlying schizophrenia

Schizophrenia poses an evolutionary-genetic paradox because it exhibits strongly negative fitness effects and high heritability, yet it persists at a prevalence of approximately 1% across all human cultures. Recent theory has proposed a resolution: that genetic liability to schizophrenia has evolved as a secondary consequence of selection for human cognitive traits. This hypothesis predicts that genes increasing the risk of this disorder have been subject to positive selection in the evolutionary history of humans and other primates. We evaluated this prediction using tests for recent selective sweeps in human populations and maximum-likelihood tests for selection during primate evolution. Significant evidence for positive selection was evident using one or both methods for 28 of 76 genes demonstrated to mediate liability to schizophrenia, including DISC1, DTNBP1 and NRG1, which exhibit especially strong and well-replicated functional and genetic links to this disorder. Strong evidence of non-neutral, accelerated evolution was found for DISC1, particularly for exon 2, the only coding region within the schizophrenia-associated haplotype. Additionally, genes associated with schizophrenia exhibited a statistically significant enrichment in their signals of positive selection in HapMap and PAML analyses of evolution along the human lineage, when compared with a control set of genes involved in neuronal activities. The selective forces underlying adaptive evolution of these genes remain largely unknown, but these findings provide convergent evidence consistent with the hypothesis that schizophrenia represents, in part, a maladaptive by-product of adaptive changes during human evolution.     

Hypothesis of evolutionary origin of several human and animal diseases

Studies of our Laboratory in the field of molecular and evolutionary endocrinology have allowed us to put forward a hypothesis about evolutionary origin of endocrine and other diseases of human and animals. This hypothesis is considered using a model of hormonal signaling systems. It is based on the concept formulated by the authors about molecular defects in hormonal signaling systems as the key causes of endocrine diseases; on evolutionary conservatism of hormonal signaling systems, which stems logically from the authors’ concept of the prokaryotic genesis and endosymbiotic emergence in the course of evolution of chemosignaling systems in the higher eukaryotes; from the fact that the process of formation of hormonal signaling systems with participation of endosymbiosis including the horizontal transfer of genes is accompanied by transfer not only of normal, but also of the defected genetic material. There are considered examples of the principal possibility of transfer of defected genes between bacteria and eukaryotic organisms. Analysis of the current literature allows suggesting inheritance of pathogenic factors from evolutionary ancestors in the lineage prokaryotes—lower eukaryotes—higher eukaryotes.     

Silencing human genetic diseases with oligonucleotide-based therapies

RNA interference is an endogenous mechanism present in most eukaryotic cells that enables degradation of specific mRNAs. Pharmacological exploitation of this mechanism for therapeutic purposes attracted a whole amount of attention in its initial years, but was later hampered due to difficulties in delivery of the pharmacological agents to the appropriate organ or tissue. Advances in recent years have to a certain level started to address this specific issue. Genetic diseases are caused by aberrations in gene sequences or structure; these particular abnormalities are in theory easily addressable by RNAi therapeutics. Sequencing of the human genome has largely contributed to the identification of alterations responsible for genetic conditions, thus facilitating the design of compounds that can address these diseases. This review addresses the currently on-going programs with the aim of developing RNAi and other antisense compounds for the treatment of genetic conditions and the pros and cons that these products may encounter along the way. The authors have focused on those programs that have reached clinical trials or are very close to do so.     

Test of the isoallele hypothesis at the mouse first arch (far) locus

We tested the hypothesis that differences in wild-type (+) alleles (isoalleles) at the first arch (far) locus between mouse strains ICR/Bc and BALB/cGaBc are responsible for the partially dominant expression of far in the ICR/Bc genetic background, in contrast to its recessive expression in the BALB/cGaBc background. A similar hypothesis concerning isoalleles has been suggested to explain differences in heterozygote expression in some human genetic diseases but appears not to have been tested directly in mammals. First arch is lethal when homozygous. The dominant effects in ICR/Bc mice include defects in mystacial vibrissa pattern formation and cleft palate. To test the isoallele hypothesis, we made the four appropriate genetic crosses between +/far and +/+ mice between strains. The F1 progeny were scored on day 16 of gestation for defective mystacial vibrissa pattern formation and cleft palate. From all four crosses, approximately 30% of F1 fetuses (i.e., 60% of +/far fetuses) had disrupted mystacial vibrissa patterns, and only one fetus had cleft palate. The fact that all crosses produced approximately equal rates of defective progeny disproves the isoallele hypothesis for far. Therefore, differences between strains in alleles at other loci (modifier loci) must cause the differences in heterozygote (+/far) expression. This genetic design can be used for other mutations with strain differences in heterozygote expression to test the importance of isoalleles in mammals.