Microinjection technique used to study functional interaction between p53 and hepatitis B virus X gene in apoptosis

Microinjection of expression vectors into cultured cells has been utilized to study functional interaction of p53 and the hepatitis B virus HBx gene in apoptosis. This approach allows us to determine protein-protein interactions in primary cultured human cells at a single cell level, including fibroblasts, mammary epithelial cells, renal epithelial cells, and hepatocytes. In principle, this approach can be used to study functional interaction of p53 and any gene that is either pro- or anti-apoptotic. The use of primary cultured human cells minimizes ambiguous results associated with immortalized or tumorigenic cell lines. Moreover, it is an easy and effective way to introduce genes of interests into primary human cells with defined genetic defects, thereby facilitating the delineation of genetic pathways.     

Chemical genomics and medicinal systems biology: chemical control of genomic networks in human systems biology for innovative medicine

With advances in determining the entire DNA sequence of the human genome, it is now critical to systematically identify the function of a number of genes in the human genome. These biological challenges, especially those in human diseases, should be addressed in human cells in which conventional (e.g. genetic) approaches have been extremely difficult to implement. To overcome this, several approaches have been initiated. This review will focus on the development of a novel "chemical genetic/genomic approach" that uses small molecules to "probe and identify" the function of genes in specific biological processes or pathways in human cells. Due to the close relationship of small molecules with drugs, these systematic and integrative studies will lead to the "medicinal systems biology approach" which is critical to "formulate and modulate" complex biological (disease) networks by small molecules (drugs) in human bio-systems.     

Human adaptive phenotypes in physiology and medicine]

The study of pathological and physiological features associated with genetic syndromes has gained increasing momentum over the past two decades. In this paper, the definition of adaptive phenotypes is presented and the complexities and obstacles to progress in this field are summarized. This is a problem of general biology and is related to genetic specificity of every organism. The concept of individual norm of man's responses is to a certain extent associated with the doctrine of constitutions. From the practical point of view it is suggested to use in medicine and physiology an individual-constitutional approach and the term adaptophenotype (adaptive phenotype) which means a stable complex of genetic and phenotypical characteristics. It can be determined using clinical, physiological, genealogical, and dermatoglyphic methods, methods of genetic markers, phenotypical analysis, etc. A variety of developmental and physiological characteristics can form the "adaptophenotype" is used in general application, it is used to refer to a broad range of human functioning including pathological characteristics (somatic disorders), psychopathology (mental disorders), physiological and behavior problems. Genetic approaches help reveal not only individual hereditary parameters which manifest as signs but also latent pathological and physiological characteristics that may be used for professional selection. The delineation of adaptive phenotypes is a difficult enterprise, not that should not dissuade clinicians and researchers from undertaking it.     

Grandma plays favourites: X-chromosome relatedness and sex-specific childhood mortality

Biologists use genetic relatedness between family members to explain the evolution of many behavioural and developmental traits in humans, including altruism, kin investment and longevity. Women''s post-menopausal longevity in particular is linked to genetic relatedness between family members. According to the ‘grandmother hypothesis’, post-menopausal women can increase their genetic contribution to future generations by increasing the survivorship of their grandchildren. While some demographic studies have found evidence for this, others have found little support for it. Here, we re-model the predictions of the grandmother hypothesis by examining the genetic relatedness between grandmothers and grandchildren. We use this new model to re-evaluate the grandmother effect in seven previously studied human populations. Boys and girls differ in the per cent of genes they share with maternal versus paternal grandmothers because of differences in X-chromosome inheritance. Here, we demonstrate a relationship between X-chromosome inheritance and grandchild mortality in the presence of a grandmother. With this sex-specific and X-chromosome approach to interpreting mortality rates, we provide a new perspective on the prevailing theory for the evolution of human female longevity. This approach yields more consistent support for the grandmother hypothesis, and has implications for the study of human evolution.     

Parallel reverse genetic screening in mutant human cells using transcriptomics

Reverse genetic screens have driven gene annotation and target discovery in model organisms. However, many disease‐relevant genotypes and phenotypes cannot be studied in lower organisms. It is therefore essential to overcome technical hurdles associated with large‐scale reverse genetics in human cells. Here, we establish a reverse genetic approach based on highly robust and sensitive multiplexed RNA sequencing of mutant human cells. We conduct 10 parallel screens using a collection of engineered haploid isogenic cell lines with knockouts covering tyrosine kinases and identify known and unexpected effects on signaling pathways. Our study provides proof of concept for a scalable approach to link genotype to phenotype in human cells, which has broad applications. In particular, it clears the way for systematic phenotyping of still poorly characterized human genes and for systematic study of uncharacterized genomic features associated with human disease.     

基因组编辑技术在干细胞疾病模型建立和精准医疗中的应用

精准医疗强调针对不同个体定制个性化治疗方案,其推行需要精准疾病模型的建立。人类干细胞因其具有多能性而成为体外不同类型的成体细胞和器官小体的潜在来源,其强增殖能力保证了充足原材料用于科研分析和大规模药物筛选。基因组编辑技术(尤其是CRISPR/Cas9技术)的快速发展使得在人多能干细胞和成体干细胞中进行高效基因组编辑成为可能。两者的有效结合能建立起针对不同遗传致病背景的“个性化”疾病模型,有利于深入解析不同遗传突变的致病机制和开发高针对性的精准医疗方案。本文对基因组编辑技术在人类干细胞中的应用以及利用干细胞疾病模型模拟罕见病和肿瘤发生的研究进行了综述。     

Estimation of relative fitnesses from relative risk data and the predicted future of haemoglobin alleles S and C

Epidemiological studies of genetic differences in disease susceptibility often estimate the relative risks (RR) of different genotypes. Here I provide an approach to calculate the relative fitnesses of different genotypes based on RR data so that population genetic approaches may be utilized with these data. Using recent RR data on human haemoglobin beta genotypes from Burkina Faso, this approach is used to predict changes in the frequency of the haemoglobin sickle-cell S and C alleles. Overall, it generally appears that allele C will quickly replace the S allele in malarial environments. Explicit population genetic predictions suggest that this replacement may occur within the next 50 generations in Burkina Faso.     

Petri net modeling of high-order genetic systems using grammatical evolution

Understanding how DNA sequence variations impact human health through a hierarchy of biochemical and physiological systems is expected to improve the diagnosis, prevention, and treatment of common, complex human diseases. We have previously developed a hierarchical dynamic systems approach based on Petri nets for generating biochemical network models that are consistent with genetic models of disease susceptibility. This modeling approach uses an evolutionary computation approach called grammatical evolution as a search strategy for optimal Petri net models. We have previously demonstrated that this approach routinely identifies biochemical network models that are consistent with a variety of genetic models in which disease susceptibility is determined by nonlinear interactions between two DNA sequence variations. In the present study, we evaluate whether the Petri net approach is capable of identifying biochemical networks that are consistent with disease susceptibility due to higher order nonlinear interactions between three DNA sequence variations. The results indicate that our model-building approach is capable of routinely identifying good, but not perfect, Petri net models. Ideas for improving the algorithm for this high-dimensional problem are presented.     

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.     

Application of a SSR‐GBS marker system on investigation of European Hedgehog species and their hybrid zone dynamics

By applying second‐generation sequencing technologies to microsatellite genotyping, sequence information is produced which can result in high‐resolution population genetics analysis populations and increased replicability between runs and laboratories. In the present study, we establish an approach to study the genetic structure patterns of two European hedgehog species Erinaceaus europaeus and E. roumanicus. These species are usually associated with human settlements and are good models to study anthropogenic impacts on the genetic diversity of wild populations. The short sequence repeats genotyping by sequence (SSR‐GBS) method presented uses amplicon sequences to determine genotypes for which allelic variants can be defined according to both length and single nucleotide polymorphisms (SNPs). To evaluate whether complete sequence information improved genetic structure definition, we compared this information with datasets based solely on length information. We identified a total of 42 markers which were successfully amplified in both species. Overall, genotyping based on complete sequence information resulted in a higher number of alleles, as well as greater genetic diversity and differentiation between species. Additionally, the structure patterns were slightly clearer with a division between both species and some potential hybrids. There was some degree of genetic structure within species, although only in E. roumanicus was this related to geographical distance. The statistically significant results obtained by SSR‐GBS demonstrate that it is superior to electrophoresis‐based methods for SSR genotyping. Moreover, the greater reproducibility and throughput with lower effort which can be obtained with SSR‐GBS and the possibility to include degraded DNA into the analysis, allow for continued relevance of SSR markers during the genomic era.     

An integrated epigenetic and genetic approach to common human disease

Epigenetic information is heritable during cell division but is not contained within the DNA sequence itself. Despite increasing evidence for and interest in the role of epigenetics in human disease, particularly in cancer, virtually no epigenetic information is routinely or systematically measured at the genome level. The current population-based approach to common disease relates common DNA sequence variants to either disease status or incremental quantitative traits contributing to disease. Although this purely genetic approach is powerful and general, there is currently no conceptual framework to integrate epigenetic information. In this article, we propose an approach to common human disease that incorporates epigenetic variation into genetic studies. Epigenetic variation might also help to explain the late onset and progressive nature of most common diseases, the quantitative nature of complex traits and the role of environment in disease development, which a purely sequence-based approach might not.     

SNP discovery in associating genetic variation with human disease phenotypes

With the completion of the human genome project, attention is now rapidly shifting towards the study of individual genetic variation. The most abundant source of genetic variation in the human genome is represented by single nucleotide polymorphisms (SNPs), which can account for heritable inter-individual differences in complex phenotypes. Identification of SNPs that contribute to susceptibility to common diseases will provide highly accurate diagnostic information that will facilitate early diagnosis, prevention, and treatment of human diseases. Over the past several years, the advancement of increasingly high-throughput and cost-effective methods to discover and measure SNPs has begun to open the door towards this endeavor. Genetic association studies are considered to be an effective approach towards the detection of SNPs with moderate effects, as in most common diseases with complex phenotypes. This requires careful study design, analysis and interpretation. In this review, we discuss genetic association studies and address the prospect for candidate gene association studies, comparing the strengths and weaknesses of indirect and direct study designs. Our focus is on the continuous need for SNP discovery methods and the use of currently available prescreening methods for large-scale genetic epidemiological research until more advanced sequencing methods currently under development will become available.     

人类复杂疾病关联研究中群体分层的检出和校正

病例对照研究是鉴定多基因疾病易感位点重要的遗传流行病学方法, 而群体分层是导致病例对照研究关联研究结果出现偏倚甚至是假关联的重要原因之一。文章对人群分层的检出及校正的方法和原理进行了阐述, 包括基于核心家系的传递/不平衡检验(TDT)以及基于不相关基因组遗传标记的基因组对照(GC)和结构化关联(SA)等, 并且对这几种方法进行了比较。     

Designing humans: A human rights approach

Advances in genomic technologies such as CRISPR‐Cas9, mitochondrial replacement techniques, and in vitro gametogenesis may soon give us more precise and efficient tools to have children with certain traits such as beauty, intelligence, and athleticism. In this paper, I propose a new approach to the ethics of reproductive genetic engineering, a human rights approach. This approach relies on two claims that have certain, independent plausibility: (a) human beings have equal moral status, and (b) human beings have human rights to the fundamental conditions for pursuing a good life. I first argue that the human rights approach gives us a lower bound of when reproductive genetic engineering would be permissible. I then compare this approach with other approaches such as the libertarian, perfectionist, and life worth living approaches. Against these approaches, I argue that the human rights approach offers a novel, and more plausible, way of assessing the ethics of reproductive genetic engineering.     

A random set scoring model for prioritization of disease candidate genes using protein complexes and data-mining of GeneRIF,OMIM and PubMed records

Background

Prioritizing genetic variants is a challenge because disease susceptibility loci are often located in genes of unknown function or the relationship with the corresponding phenotype is unclear. A global data-mining exercise on the biomedical literature can establish the phenotypic profile of genes with respect to their connection to disease phenotypes. The importance of protein-protein interaction networks in the genetic heterogeneity of common diseases or complex traits is becoming increasingly recognized. Thus, the development of a network-based approach combined with phenotypic profiling would be useful for disease gene prioritization.

Results

We developed a random-set scoring model and implemented it to quantify phenotype relevance in a network-based disease gene-prioritization approach. We validated our approach based on different gene phenotypic profiles, which were generated from PubMed abstracts, OMIM, and GeneRIF records. We also investigated the validity of several vocabulary filters and different likelihood thresholds for predicted protein-protein interactions in terms of their effect on the network-based gene-prioritization approach, which relies on text-mining of the phenotype data. Our method demonstrated good precision and sensitivity compared with those of two alternative complex-based prioritization approaches. We then conducted a global ranking of all human genes according to their relevance to a range of human diseases. The resulting accurate ranking of known causal genes supported the reliability of our approach. Moreover, these data suggest many promising novel candidate genes for human disorders that have a complex mode of inheritance.

Conclusion

We have implemented and validated a network-based approach to prioritize genes for human diseases based on their phenotypic profile. We have devised a powerful and transparent tool to identify and rank candidate genes. Our global gene prioritization provides a unique resource for the biological interpretation of data from genome-wide association studies, and will help in the understanding of how the associated genetic variants influence disease or quantitative phenotypes.

Electronic supplementary material

The online version of this article (doi:10.1186/1471-2105-15-315) contains supplementary material, which is available to authorized users.     

From a dry bone to a genetic portrait: a case study of sickle cell anemia

The potential and reliability of DNA analysis for the identification of human remains are demonstrated by the study of a recent bone sample, which represented a documented case of sickle cell anemia. beta-globin gene sequences obtained from the specimen revealed homozygosity for the sickle cell mutation, proving the authenticity of the retrieved residual DNA. Further investigation of mitochondrial and Y chromosome DNA polymorphic markers indicated that this sample came from a male of maternal West African (possibly Yoruban) and paternal Bantu lineages. The medical record, which became available after the DNA analyses had been completed, revealed that it belonged to a Jamaican black male. These findings are consistent with this individual being a descendent of Africans brought to Jamaica during the trans-Atlantic slave trade. This study exemplifies how a "reverse population genetics" approach can be applied to reconstruct a genetic profile from a bone specimen of an unknown individual.     

Transmission ratio distortion: review of concept and implications for genetic association studies

Transmission ratio distortion (TRD) occurs when one of the two alleles from either parent is preferentially transmitted to the offspring. This leads to a statistical departure from the Mendelian law of inheritance, which states that each of the two parental alleles is transmitted to offspring with a probability of 0.5. A number of mechanisms are thought to induce TRD such as meiotic drive, gametic competition, and embryo lethality. TRD has been extensively studied in animals, but the prevalence of TRD in humans remains largely unknown. Nevertheless, understanding the TRD phenomenon and taking it into consideration in many aspects of human genetics has potential benefits that have not been sufficiently emphasized in the current literature. In this review, we discuss the importance of TRD in three distinct but related fields of genetics: developmental genetics which studies the genetic abnormalities in zygotic and embryonic development, statistical genetics/genetic epidemiology which utilizes population study designs and statistical models to interpret the role of genes in human health, and population genetics which is concerned with genetic diversity in populations in an evolutionary context. From the perspective of developmental genetics, studying TRD leads to the identification of the processes and mechanisms for differential survival observed in embryos. As a result, it is a genetic force which affects allele frequency at the population, as well as, at the organismal level. Therefore, it has implications on genetic diversity of the population over time. From the perspective of genetic epidemiology, the TRD influence on a marker locus is a confounding factor which has to be adequately dealt with to correctly interpret linkage or association study results. These aspects are developed in this review. In addition to these theoretical notions, a brief summary of the empirical evidence of the TRD phenomenon in human and mouse studies is provided. The objective of our paper is to show the potentially important role of TRD in many areas of genetics, and to create an incentive for future research.     

The development and regulation of gene repair

A technique that can direct the repair of a genetic mutation in a human chromosome using the DNA repair machinery of the cell is under development. Although this approach is not as mature as other forms of gene therapy and fundamental problems continue to arise, it promises to be the ultimate therapy for many inherited disorders. There is a continuing effort to understand the potential and the limitations of this controversial approach.     

Regulatory impact on insect biotechnology and pest management

The application of insect biotechnology is promising for the development of environmentally compatible pest management solutions. As we have refined and enhanced genetic engineering techniques in several insect species that cause significant economic loss and public health injury, it has become clear that insect biotechnology will move forward as one of the key tools of pest management in agriculture and in the human environment. Well characterized genetic elements can be manipulated toward specific aims and maintain a viable insect, albeit one with diminished capacity to exchange genetic material, vector a virus or bacterium, or complete its life cycle. Despite this degree of knowledge and precision, there remain unanswered questions regarding environmental fate, release and public acceptance of this technology. The uncertainty surrounding any novel technology inevitably increases the level of regulatory scrutiny associated with its use. Although the term “insect biotechnology” has many connotations, it certainly includes the genetic modification of symbiotic or commensally associated microbes as a means of delivering a trait (e.g. a toxin) to manage plant and human diseases and insect pests. The distinction between this paratransgenic approach and direct genetic modification of insect pests is an important one biologically as well as from a regulatory standpoint. The regulatory framework for microbial applications to agriculture is in many instances in place; however, we must strive to forge the development of guidelines and regulations that will foster deployment of insect biotechnologies.