Candidate-gene approaches for studying complex genetic traits: practical considerations

Association studies with candidate genes have been widely used for the study of complex diseases. However, this approach has been criticized because of non-replication of results and limits on its ability to include all possible causative genes and polymorphisms. These challenges have led to pessimism about the candidate-gene approach and about the genetic analysis of complex diseases in general. We believe that these criticisms can be usefully countered with an appeal to the principles of epidemiological investigation.     

Molecular genetic approaches to understanding the actin cytoskeleton

New tools in molecular genetics, such as genetic interaction screens and conditional gene targeting, have advanced the study of actin dynamics in a number of model systems. Yeast, Dictyostelium, Caenorhabditis elegans, Drosophila, and mice have contributed much in recent years to a better understanding of both the numerous functions and modes of regulation of the actin cytoskeleton.     

Predicting diabetic nephropathy using a multifactorial genetic model

Aims

The tendency to develop diabetic nephropathy is, in part, genetically determined, however this genetic risk is largely undefined. In this proof-of-concept study, we tested the hypothesis that combined analysis of multiple genetic variants can improve prediction.

Methods

Based on previous reports, we selected 27 SNPs in 15 genes from metabolic pathways involved in the pathogenesis of diabetic nephropathy and genotyped them in 1274 Ashkenazi or Sephardic Jewish patients with Type 1 or Type 2 diabetes of >10 years duration. A logistic regression model was built using a backward selection algorithm and SNPs nominally associated with nephropathy in our population. The model was validated by using random “training” (75%) and “test” (25%) subgroups of the original population and by applying the model to an independent dataset of 848 Ashkenazi patients.

Results

The logistic model based on 5 SNPs in 5 genes (HSPG2, NOS3, ADIPOR2, AGER, and CCL5) and 5 conventional variables (age, sex, ethnicity, diabetes type and duration), and allowing for all possible two-way interactions, predicted nephropathy in our initial population (C-statistic = 0.672) better than a model based on conventional variables only (C = 0.569). In the independent replication dataset, although the C-statistic of the genetic model decreased (0.576), it remained highly associated with diabetic nephropathy (χ² = 17.79, p<0.0001). In the replication dataset, the model based on conventional variables only was not associated with nephropathy (χ² = 3.2673, p = 0.07).

Conclusion

In this proof-of-concept study, we developed and validated a genetic model in the Ashkenazi/Sephardic population predicting nephropathy more effectively than a similarly constructed non-genetic model. Further testing is required to determine if this modeling approach, using an optimally selected panel of genetic markers, can provide clinically useful prediction and if generic models can be developed for use across multiple ethnic groups or if population-specific models are required.     

Phylogenetic approaches for studying diversification

Estimating rates of speciation and extinction, and understanding how and why they vary over evolutionary time, geographical space and species groups, is a key to understanding how ecological and evolutionary processes generate biological diversity. Such inferences will increasingly benefit from phylogenetic approaches given the ever‐accelerating rates of genetic sequencing. In the last few years, models designed to understand diversification from phylogenetic data have advanced significantly. Here, I review these approaches and what they have revealed about diversification in the natural world. I focus on key distinctions between different models, and I clarify the conclusions that can be drawn from each model. I identify promising areas for future research. A major challenge ahead is to develop models that more explicitly take into account ecology, in particular the interaction of species with each other and with their environment. This will not only improve our understanding of diversification; it will also present a new perspective to the use of phylogenies in community ecology, the science of interaction networks and conservation biology, and might shift the current focus in ecology on equilibrium biodiversity theories to non‐equilibrium theories recognising the crucial role of history.     

Molecular genetic approaches to understanding disease.

Molecular genetics has greatly increased the understanding of diseases in which there is a single gene defect such as cystic fibrosis. Discovering the gene responsible and its function not only helps determine the pathogenesis of the disease but also offers a possible treatment-gene therapy. Polygenic disorders such as diabetes may soon yield their secrets to the same approach. Animal models of genetic diseases are proving useful research tools, and transgenesis has made xenografting possible. Furthermore, antisense technology allows specific inhibition of undesirably overexpressed genes such as those driving unwanted vascular cell proliferation and restenosis after angioplasty. The completion of the human genome project should make the search for "disease" gene much quicker and will increase still further the importance of these gene based approaches toward diseases.     

Molecular genetic approaches to plant development.

Higher plant morphogenesis has received renewed interest over the past few years. The improvement of molecular genetic approaches to generate tagged developmental mutants, for instance by T-DNA insertion, facilitated the isolation and characterization of the altered genes. Here we present recent progress on flower and root morphogenesis in the small crucifer Arabidopsis thaliana. The current model of Arabidopsis flower development is presented. We report on FLOWER1 (Fl1), which is a T-DNA-tagged ap2 allele. Our observations indicate that this Fl1 mutant has, besides the homeotic Ap2 phenotype, an aberrant seed coat, suggesting that this gene has also a function late in flower development. Furthermore, we present a brief summary about root development and focus on the super root (Sur) mutant, which is an ethyl methanesulfonate-induced mutant that produces excess lateral roots. Root explants of the Sur mutant, that do not develop further than the 4-leaf stage, can be induced to produce normal-looking shoots and flowers by addition of only cytokinin to the medium. The phenotype of Sur and its relation to the action of phytohormones is discussed.     

Molecular genetic approaches to microtubule-associated protein function

Protein function in vivo can be studied by deleting (knock-out) the gene that encodes it, and search for the consequences. This procedure involves different technologies, including recombinant DNA procedures, cell biology methods and histological and immunocytochemical analysis. In this work we have reviewed these procedures when they have been applied to ascertain the function of several microtubule-associated proteins. These proteins have been previously involved, through in vitro experiments, in having a role in the microtubule stabilization. Here, we will summarize the generation and characterization of different microtubule-associated protein knock-out mice. Special attention will be paid to MAP1B knock-out mice. Amongst the different MAPs knock-out mice these show the strongest phenotype, the most likely for being MAP1B, the MAP that is expressed earliest in neurogenesis. Molecular genetics could be considered as a valid and useful procedure to truly establish the in vivo functions of a protein, although it is necessary to be aware of possible artifacts such as the generation of some kinds of RNA alternative splicing. To avoid this the best strategy to be used must consider the deletion of the exon that contains the functional domains of the protein.     

Molecular genetic approaches to the cytoskeleton in Dictyostelium.

Recent advances in molecular genetic techniques are being applied in Dictyostelium to test and expand prevailing views on the functioning of the actin-based cytoskeleton. Current research involves the disruption, by homologous recombination, of genes encoding cytoskeletal elements. We suggest combining classical and molecular genetic approaches to supplement these investigations.     

Molecular genetic approaches to the study of cellular senescence.

Normal cells in culture exhibit limited division potential, which is used as a model for cellular aging. In contrast, tumor-derived, carcinogen- or virus-transformed cells are capable of dividing indefinitely (immortal). Fusion of normal with immortal human cells yielded hybrids having limited life span, indicating that cellular senescence is a dominant phenotype and that immortality is recessive. Fusions of various immortal human cell lines with each other led to the identification of four complementation groups for indefinite division. In order to identify the chromosomes and genes involved in growth regulation, that had been modified in immortal cells, we used the technique of microcell fusion to introduce either a normal human chromosome 11 or 4 into cell lines representative of the different complementation groups. Chromosome 11 had no effect on the in vitro life span of the different immortal human tumor lines. However, when a normal human chromosome 4 was introduced into cell lines assigned to complementation group B, the cells lost the immortal phenotype. No effect on the proliferation potential of cell lines representative of the other complementation groups was observed. These results suggest that a gene(s) on human chromosome 4 has been modified in immortal cell lines assigned to complementation group B, to allow escape from senescence. They also provide evidence for a genetic basis for cellular aging.     

Molecular genetic approaches to the targeted suppression of neuronal activity

Understanding how the diverse cells of the nervous system generate sensations, memories and behaviors is a profound challenge. This is because the activity of most neurons cannot easily be monitored or individually manipulated in vivo. As a result, it has been difficult to determine how different neurons contribute to nervous system function, even in simple organisms like Drosophila. Recent advances promise to change this situation by supplying molecular genetic tools for modulating neuronal activity that can be deployed in a spatially and temporally restricted fashion. In some cases, targeted groups of neurons can be 'switched off' and back 'on' at will in living, behaving animals.     

Molecular ecological approaches to studying the evolutionary impact of selective harvesting in wildlife

Harvesting of wildlife populations by humans is usually targeted by sex, age or phenotypic criteria, and is therefore selective. Selective harvesting has the potential to elicit a genetic response from the target populations in several ways. First, selective harvesting may affect population demographic structure (age structure, sex ratio), which in turn may have consequences for effective population size and hence genetic diversity. Second, wildlife-harvesting regimes that use selective criteria based on phenotypic characteristics (e.g. minimum body size, horn length or antler size) have the potential to impose artificial selection on harvested populations. If there is heritable genetic variation for the target characteristic and harvesting occurs before the age of maturity, then an evolutionary response over time may ensue. Molecular ecological techniques offer ways to predict and detect genetic change in harvested populations, and therefore have great utility for effective wildlife management. Molecular markers can be used to assess the genetic structure of wildlife populations, and thereby assist in the prediction of genetic impacts by delineating evolutionarily meaningful management units. Genetic markers can be used for monitoring genetic diversity and changes in effective population size and breeding systems. Tracking evolutionary change at the phenotypic level in the wild through quantitative genetic analysis can be made possible by genetically determined pedigrees. Finally, advances in genome sequencing and bioinformatics offer the opportunity to study the molecular basis of phenotypic variation through trait mapping and candidate gene approaches. With this understanding, it could be possible to monitor the selective impacts of harvesting at a molecular level in the future. Effective wildlife management practice needs to consider more than the direct impact of harvesting on population dynamics. Programs that utilize molecular genetic tools will be better positioned to assess the long-term evolutionary impact of artificial selection on the evolutionary trajectory and viability of harvested populations.     

糖尿病肾病蛋白尿发生机制的研究进展

糖尿病肾病蛋白尿的发生发展是多因素综合作用的结果.虽然蛋白尿的确切病因仍未清楚,但基本是由肾脏血流动力学改变、肾小球滤过屏障异常、多种生长因子、细胞因子、免疫炎症因子异常表达以及肾小管异常等多个因素综合所致.在分子水平上,氧化应激是糖尿病并发症发生的早期事件.此外,内皮细胞结构异常和功能紊乱以及肾小管重吸收功能异常可能也参与了蛋白尿的发生发展.本文着重探讨糖尿病肾病蛋白尿发生的细胞及分子机制研究进展,为更好的防治糖尿病肾病提供有力的依据.     

Molecular tools and analytical approaches for the characterization of farm animal genetic diversity

Genetic studies of livestock populations focus on questions of domestication, within- and among-breed diversity, breed history and adaptive variation. In this review, we describe the use of different molecular markers and methods for data analysis used to address these questions. There is a clear trend towards the use of single nucleotide polymorphisms and whole-genome sequence information, the application of Bayesian or Approximate Bayesian analysis and the use of adaptive next to neutral diversity to support decisions on conservation.     

Molecular genetic approaches to developing quality protein maize

Since its development more than two decades ago, Quality Protein Maize (QPM) has been adopted for cultivation in many regions of the developing world. Given the potential benefits of widespread use of QPM, research to better understand the genetic and biochemical mechanisms responsible for its altered kernel texture and protein quality is important. Recent investigations into the improved protein quality of the opaque2 mutant and the genetic mechanisms that can suppress its starchy kernel phenotype provide new insights to support the continued improvement of QPM. Chief among these developments are the use of transgenic approaches to improve nutritional quality and the discovery that an important component of modified endosperm texture in QPM is related to altered starch granule structure.     

Genetic approaches for studying rhizosphere colonization

Most bacterial traits involved in colonization of plant roots are yet to be defined. Studies were initiated to identify genes in Pseudomonas which play significant roles in this process. The general approach is to use transposons to construct collections of insertion mutants, each of which is then screened for alterations in its interactions with the host plant. In one study a Tn5 derivative containing a constitutively expressed -galactosidase (lacZ) gene was used to generate a collection of insertion mutants which could be distinguished from the wild-type parent on X-gal plates. Each mutant was examined for its ability to colonize wheat seedlings in the presence of the wild-type parent. Mutants which gave wild-type:mutant ratio of 20:1 or greater were obtained. In a second study a Tn5 derivative which carries a promoterless lacZ gene located near one end of the transposon was constructed. Expression of the lacZ gene depends on the presence of an active promoter outside of the transposon in the correct orientation. Insertion mutants generated with this transposon were examined for changes in -galactosidase expression in the presence and absence of plant root exudate. A number of mutants which showed differential lacZ expression have been identified.     

Molecular genetic and biochemical approaches for defining lipid-dependent membrane protein folding

We provide an overview of lipid-dependent polytopic membrane protein folding and topogenesis. Lipid dependence of this process was determined by employing Escherichia coli cells in which specific lipids can be eliminated, substituted, tightly titrated or controlled temporally during membrane protein synthesis and assembly. The secondary transport protein lactose permease (LacY) was used to establish general principles underlying the molecular basis of lipid-dependent effects on protein domain folding, protein transmembrane domain (TM) orientation, and function. These principles were then extended to several other secondary transport proteins of E. coli. The methods used to follow proper conformational organization of protein domains and the topological organization of protein TMs in whole cells and membranes are described. The proper folding of an extramembrane domain of LacY that is crucial for energy dependent uphill transport function depends on specific lipids acting as non-protein molecular chaperones. Correct TM topogenesis is dependent on charge interactions between the cytoplasmic surface of membrane proteins and a proper balance of the membrane surface net charge defined by the lipid head groups. Short-range interactions between the nascent protein chain and the translocon are necessary but not sufficient for establishment of final topology. After release from the translocon short-range interactions between lipid head groups and the nascent protein chain, partitioning of protein hydrophobic domains into the membrane bilayer, and long-range interactions within the protein thermodynamically drive final membrane protein organization. Given the diversity of membrane lipid compositions throughout nature, it is tempting to speculate that during the course of evolution the physical and chemical properties of proteins and lipids have co-evolved in the context of the lipid environment of membrane systems in which both are mutually dependent on each other for functional organization of proteins. This article is part of a Special Issue entitled: Protein Folding in Membranes.     

Soluble RAGE, diabetic nephropathy and genetic variability in the AGER gene

Diabetes mellitus, especially when complicated with decline of renal function due to diabetic nephropathy (DN), is associated with accumulation of advanced glycation end products (AGEs) exerting their adverse effects via receptor of AGE (RAGE). Soluble RAGE (sRAGE) is a truncated form of RAGE functioning as an inhibitor of AGE-mediated signalling. We studied relationships between sRAGE, renal function and genetic variability in the AGER gene in diabetic subjects. Study comprised a total of 265 diabetics (type 1 or 2 or LADA) with normoalbuminuria (n = 94) or DN (n = 171). sRAGE (assessed by ELISA) was significantly higher in DN than normoalbuminuria subjects (P = 0.007) and positively correlated with age, S-urea, S-creatinine and albuminuria and AGEs (determined spectrofluorimetrically), negatively with GFR (all P < 0.05); however, multivariate regression revealed that GFR was the only independent variable associated with sRAGE (P = 0.047). sRAGE did not correspond with carrier state of risk-haplotype copies (RAGE2) (P > 0.05). In conclusion, GFR is a principal determinant of sRAGE concentration and gradual sRAGE increase in subjects with advancing impairment of renal function is paralleled by AGEs.