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Genome-wide screening for cis-regulatory variation using a classical diallel crossing scheme.

Large-scale screening studies carried out to date for genetic variants that affect gene regulation are generally limited to descriptions of differences in allele-specific expression (ASE) detected in vivo. Allele-specific differences in gene expression provide evidence for a model whereby cis-acting genetic variation results in differential expression between alleles. Such gene surveys for regulatory variation are a first step in identifying the specific nucleotide changes that govern gene expression differences, but they leave the underlying mechanisms unexplored. Here, we propose a quantitative genetics approach to perform a genome-wide analysis of ASE differences (GASED). The GASED approach is based on a diallel design that is often used in plant breeding programs to estimate general combining abilities (GCA) of specific inbred lines and to identify high-yielding hybrid combinations of parents based on their specific combining abilities (SCAs). In a context of gene expression, the values of GCA and SCA parameters allow cis- and trans-regulatory changes to be distinguished and imbalances in gene expression to be ascribed to cis-regulatory variation. With this approach, a total of 715 genes could be identified that are likely to carry allelic polymorphisms responsible for at least a 1.5-fold allelic expression difference in a total of 10 diploid Arabidopsis thaliana hybrids. The major strength of the GASED approach, compared to other ASE detection methods, is that it is not restricted to genes with allelic transcript variants. Although a false-positive rate of 9/41 was observed, the GASED approach is a valuable pre-screening method that can accelerate systematic surveys of naturally occurring cis-regulatory variation among inbred lines for laboratory species, such as Arabidopsis, mouse, rat and fruitfly, and economically important crop species, such as corn.

Alleles↗

Molecular dissection of quantitative traits: progress and prospects.

QTL mapping is an increasingly useful approach to the study and manipulation of complex traits important in agriculture, evolution, and medicine. The molecular dissection of quantitative phenotypes, supplementing the principles of classical quantitative genetics, is accelerating progress in the manipulation of plant and animal genomes. A growing appreciation of the similarities among different organisms and the usefulness of comparative genetic information is making genome analysis more efficient, and providing new opportunities for using model systems to overcome the limitations of less-favorable systems. The expanding repertoire of techniques and information available for studying heredity is removing obstacles to the cloning of QTLs. Although QTL mapping alone is limited to a resolution of 0.1%-1.0% of a genome, use of QTL mapping in conjunction with a search for mapped candidate genes, with emerging technologies for isolation of genes expressed under conditions likely to account for the quantitative phenotype, and with ever more efficient megabase DNA manipulation and characterization bodes well for the prospect of isolating the genetic determinants of QTLs in the foreseeable future. In the words of Thoday (1961), "An extensive attack on quantitative genetics made from this point of view as well as the biometric approach should be a great help in answering questions concerning the nature of polygenes...."

Animals↗

Microarrays in ecology and evolution: a preview.

Microarray technology provides a new tool with which molecular ecologists and evolutionary biologists can survey genome-wide patterns of gene expression within and among species. New analytical approaches based on analysis of variance will allow quantification of the contributions of among individual variation, genotype, sex, microenvironment, population structure, and geography to variation in gene expression. Applications of this methodology are reviewed in relation to studies of mechanisms of adaptation and divergence; delineation of developmental and physiological pathways and networks; characterization of quantitative genetic parameters at the level of transcription ('quantitative genomics'); molecular dissection of parasitism and symbiosis; and studies of the diversification of gene content. Establishment of microarray resources is neither prohibitively expensive nor technologically demanding, and a commitment to development of gene expression profiling methods for nonmodel organisms could have a tremendous impact on molecular and genetic research at the interface of organismal and population biology.

Animals↗

Influence of human genome polymorphism on gene expression.

Genetic variation, through its effects on gene expression, plays a crucial role in phenotypic variation and disease susceptibility. Recent studies from our group and others have integrated a number of resources and technologies to assess several aspects of genome variation affecting gene expression. Some of these large-scale mapping studies involving expression quantitative traits have recently been reviewed [Gibson, G. and Weir, B. (2005) The quantitative genetics of transcription. Trends Genet., 21, 616-623; de Koning, D.J. and Haley, C.S. (2005) Genetical genomics in humans and model organisms. Trends Genet., 21, 377-381], with particular attention to the statistical issues. In this review, we compare allele-specific expression studies in human samples (primarily lymphoblastoid cell lines from the CEPH HapMap panel), as a prelude to a discussion on study design issues and sources of variation, in order to propose the steps required to build a detailed map of cis-acting regulatory variation in the human genome. Obtaining panels of tissues from large numbers of individuals remains an important limitation. We also conclude that there is insufficient knowledge as to the feasibility of comprehensive studies of trans-acting variation in the human genome.

Alleles↗

Estimates of genetic correlations among clinical measures of the eye.

In a quantitative genetic investigation of seven clinical tests, five pairs were significantly correlated: (1) cover test measures and corneal power, (2) corneal power and divergence recovery points, (3) convergence and divergence recovery points, (4) divergence break and recovery points, and (5) convergence break and recovery points. Common genes may account entirely for the gene influence on cover test measure; thus, parents who are above the population mean for corneal power will have offspring with a tendency toward an exodeviation (phoria). The two convergence amplitudes may depend on the same gene differences, whereas the two divergence amplitudes only partly reflect a common function, suggesting that they may be indexing somewhat different underlying physiologic mechanisms.

Accommodation, Ocular↗

Generalized character process models: estimating the genetic basis of traits that cannot be observed and that change with age or environmental conditions.

The genetic analysis of characters that change as a function of some independent and continuous variable has received increasing attention in the biological and statistical literature. Previous work in this area has focused on the analysis of normally distributed characters that are directly observed. We propose a framework for the development and specification of models for a quantitative genetic analysis of function-valued characters that are not directly observed, such as genetic variation in age-specific mortality rates or complex threshold characters. We employ a hybrid Markov chain Monte Carlo algorithm involving a Monte Carlo EM algorithm coupled with a Markov chain approximation to the likelihood, which is quite robust and provides accurate estimates of the parameters in our models. The methods are investigated using simulated data and are applied to a large data set measuring mortality rates in the fruit fly, Drosophila melanogaster.

Age Factors↗

Medical and psychology students' disbelief in the inheritance of risk factors for suicide.

Despite convergent evidence for a role of genetic risk factors for suicide stemming from quantitative genetic (family, twin, and adoption designs), molecular genetic, and geographical studies, professionals, likely to be exposed to suicide, appear to disbelieve strongly in the inheritance of risk factors for suicide. In a sample of 1,093 Austrian medical and psychology students, about 80% of respondents did not endorse genetic risk factors for suicide, regardless of their sex, age bracket, field and year of study, and overall knowledge on suicide facts. This may reflect educational gaps, cognitive biases against genetic bases and explanations, or both. One single implication is that this information needs to be incorporated and covered more visibly in medical and psychology textbooks and curricula.

Adult↗

The use of neurophysiological endophenotypes to understand the genetic basis of schizophrenia.

Specifying the complex genetic architecture of the "fuzzy" clinical phenotype of schizophrenia is an imposing problem. Utilizing metabolic, neurocognitive, and neurophysiological "intermediate" endophenotypic measures offers significant advantages from a statistical genetics standpoint. Endophenotypic measures are amenable to quantitative genetic analyses, conferring upon them a major methodological advantage compared with largely qualitative diagnoses using the Diagnostic and Statistical Manual of Mental Health, 4th Edition (DSM-IV). Endophenotypic deficits occur across the schizophrenia spectrum in schizophrenia patients, schizotypal patients, and clinically unaffected relatives of schizophrenia patients. Neurophysiological measures, such as P50 event-related suppression and the prepulse inhibition (PPI) of the startle response, are endophenotypes that can be conceptualized as being impaired because of a single genetic abnormality in the functional cascade of DNA to RNA to protein. The "endophenotype approach" is also being used to understand other medical disorders, such as colon cancer, hemochromatosis, and hypertension, where there is interplay between genetically conferred vulnerability and nongenetic stressors. The power and utility of utilizing endophenotypes to understand the genetics of schizophrenia is discussed in detail in this article.

Animals↗

Inbreeding depression, increased phenotypic variance, and a trade-off between gonads and appendages in selfed progeny of the aphid Prociphilus oriens.

Trade-offs are potentially common among two or more traits whose development is dependent on the same resources. To detect genetic trade-offs, the techniques of quantitative genetics, pedigree analyses, and selection experiments have been used. This study demonstrates genetically based trade-offs between gonads and appendages in hatched larvae of the aphid Prociphilus oriens by focusing on enlarged variance among the families of selfed progeny. The selfed and outbred families were compared in respect to the size of morphological traits, gonad volume, and hatch dates as well as egg volume. Selfing not only increased the among-family variance component in all larval traits examined, but it also increased the mean size of all the morphological traits significantly. In contrast, gonad volume, a fitness component, was reduced with selfing. Calculation of the allometry (log-transformed regression) of larval traits to egg volume indicated that in the outbred group, morphological traits grew slowly relative to egg volume with slopes below 0.25, whereas gonads exhibited isometric growth. With selfing, most morphological traits had significantly steeper slopes, whereas the slope for gonads was greatly decreased. When the effect of egg volume was statistically removed from the means of selfed families, significant negative correlation was detected between the adjusted means of gonad volume and those of tibia length. This result suggests genetic trade-offs between gonad volume and tibia length. Thus, the evidence implies that at the loci governing the development of appendages, the dominant alleles function to canalize the development of tibiae into an optimal size, irrespective of egg volume. It is hypothesized that increased homozygosity of the deleterious recessive alleles reduced gonad volume through increasing the resource allocation to tibiae. The hypothesis of the gonad-appendage trade-off could be applied to explain the phenotypic evolution in some aphid species.

Animals↗

Genetics of mood disorders--an overview. Part one.

Mood disorders are severe and common psychiatric diseases with two main clinical forms: Bipolar disorder, type 1 (BP1), and Unipolar disorder (UP). This paper provides an overview of the Literature on genetics of BP1 and UP disorders. We described the problems of diagnostic definitions, and statistical methods for studying the genetic etiology of these disorders. Epidemiological and quantitative genetic studies are reviewed. Interactions of susceptibility genes and environmental factors in this disorders are also fundamental and has to be properly investigated. The understanding of genetic aspects of BP1 and UP disorders has benefited from recent findings with DNA markers. Therefore we also provide an overview of linkage and association studies that reveal several chromosomal regions, candidate genes and dynamic mutations which may play role in BP1 and UP disorders.

Bipolar Disorder↗

Collection of pedigree data for genetic analysis in isolate populations.

Pedigree data are useful for a wealth of research purposes in human population biology and genetics. The collection of extended pedigrees represents the most powerful sampling design for quantitative genetic and linkage studies of both normal and disease-related quantitative traits. In this paper we outline an approach for collecting pedigree data in stable isolate populations. As an example, the pedigree for the Jirel population, which was obtained using the methods presented, is described. The Jirel pedigree contains 2,000 study participants and more than 62,000 pairwise relationships that are informative for genetic analysis. Once such pedigrees are genetically characterized by a genome scan for a given trait, they become an invaluable resource for future genetic studies of any quantitative trait.

Female↗

The sex-specific genetic architecture of quantitative traits in humans.

Mapping genetically complex traits remains one of the greatest challenges in human genetics today. In particular, gene-environment and gene-gene interactions, genetic heterogeneity and incomplete penetrance make thorough genetic dissection of complex traits difficult, if not impossible. Sex could be considered an environmental factor that can modify both penetrance and expressivity of a wide variety of traits. Sex is easily determined and has measurable effects on recognizable morphology; neurobiological circuits; susceptibility to autoimmune disease, diabetes, asthma, cardiovascular and psychiatric disease; and quantitative traits like blood pressure, obesity and lipid levels, among others. In this study, we evaluated sex-specific heritability and genome-wide linkages for 17 quantitative traits in the Hutterites. The results of this study could have important implications for mapping complex trait genes.

Genetic Linkage↗

Tibetan and Andean patterns of adaptation to high-altitude hypoxia.

Understanding the workings of the evolutionary process in contemporary humans requires linking the evolutionary history of traits with their current genetics and biology. Unusual environments provide natural experimental settings to investigate evolution and adaptation. The example of high-altitude hypoxia illustrates some of the progress and many of the remaining challenges for studies of evolution in contemporary populations. Current studies exemplify the frequently encountered problem of determining whether large, consistent population differences in mean values of a trait reflect genetic differences. In this review I describe 4 quantitative traits that provide evidence that indigenous populations of the Tibetan and Andean plateaus differ in their phenotypic adaptive responses to high-altitude hypoxia. These 4 traits are resting ventilation, hypoxic ventilatory response, oxygen saturation, and hemoglobin concentration. The Tibetan means of the first 2 traits were more than 0.5 standard deviation higher than the Aymara means, whereas the Tibetan means were more than 1 standard deviation lower than the Aymara means for the last 2 traits. Quantitative genetic analyses of within-population variance revealed significant genetic variance in all 4 traits in the Tibetan population but only in hypoxic ventilatory response and hemoglobin concentration in the Aymara population. A major gene for oxygen saturation was detected among the Tibetans. These findings are interpreted as indirect evidence of population genetic differences. It appears that the biological characteristics of sea-level humans did not constrain high-altitude colonists of the 2 plateaus to a single adaptive response. Instead, microevolutionary processes may have operated differently in the geographically separated Tibetan and Andean populations exposed to the same environmental stress. Knowledge of the genetic bases of these traits will be necessary to evaluate these inferences. Future research will likely be directed toward determining whether the population means reflect differences identified at the chromosomal level. Future research will also likely consider the biological pathways and environmental influences linking genotypes to phenotypes, the costs and benefits of the Tibetan and Andean patterns of adaptation, and the question of whether the observed phenotypes are indeed adaptations that enhance Darwinian fitness.

Adaptation, Physiological↗

The Evolution of Plasticity and Nonplastic Spatial and Temporal Adaptations in the Presence of Imperfect Environmental Cues.

A model for the evolution of plasticity is considered in which the phenotype, undergoing stabilizing selection, is modeled as a linear function of an environmental cue correlated with the phenotypic optimum, with the coefficients z0 and z1 evolving according to standard quantitative genetic theory. In contrast to previous theoretical models, as the rate of migration between demes or the rate of cyclic fluctuations in the optimum increases, the amount of plasticity [Formula: see text] at equilibrium is shown to increase gradually, in part accounting for the effect of reduced nonplastic adaptation and reaching a maximum equal to the squared correlation between the environmental cue and the phenotypic optimum. Given that information available to the organism is limited, this bias of the expressed phenotype toward the global optimum is still optimal, however, in a certain decision-theoretic sense. When genetic variation in the plastic component of the trait is small so that spatial or temporal differentiation in plasticity is small, the effect of plasticity on nonplastic adaptation is to reduce the effects of variation in the phenotypic optimum by a factor [Formula: see text] only. Information acquisition costs and joint evolution of sensory systems are discussed.

environmental cues↗

Constraints on evolution and postcopulatory sexual selection: trade-offs among ejaculate characteristics.

Ejaculates function as an integrated unit to ensure male fertility and paternity, can have a complex structure, and can experience multiple episodes of selection. Current studies on the evolution of ejaculates typically focus on phenotypic variation in sperm number, size, or related traits such as testes size as adaptations to postcopulatory male-male competition. However, the evolution of the integrated nature of ejaculate structure and function depends on genetic variation in and covariation between the component parts. Here we report a quantitative genetic study of the components of the ejaculate of the cockroach Nauphoeta cinerea, including those we know to experience postcopulatory sexual selection, in the context of functional integration of ejaculate characters. We use the patterns of genetic variation and covariation to infer how the integration of the functions of the ejaculate constrain and shape its evolution. Ejaculate components were highly variable, showed significant additive genetic variance, and moderate to high evolvability. The level of genetic variation in these characters, despite strong directional or truncating selection, may reflect the integration of multiple episodes of selection that occur in N. cinerea. There were few significant phenotypic correlations, but all the genetic correlations among ejaculate characters were significantly different from zero. The patterns of genetic variation and covariation suggest that there are important trade-offs among individual traits of the ejaculate and that evolution of ejaculate characteristics will not proceed unconstrained. Fully describing the genetic relationships among traits that perform as an integrated unit helps us understand how functional relationships constrain or facilitate the evolution of the complex structure that is the ejaculate.

Analysis of Variance↗

Defects in the low density lipoprotein receptor gene affect lipoprotein (a) levels: multiplicative interaction of two gene loci associated with premature atherosclerosis.

The lipoprotein (a) [Lp(a)] contains two nonidentical protein species, apolipoprotein (apo) B-100 and a specific high molecular weight glycoprotein, apo(a). Lp(a) represents a continuous quantitative genetic trait, the genetics of which are only poorly understood. Genetic variation at the apo(a) locus affects plasma Lp(a) levels and explains at least 40% of the variability of this trait. Lp(a) levels were found to be elevated 3-fold in the plasma from patients with the heterozygous form of familial hypercholesterolemia who have one mutant low density lipoprotein receptor gene. This elevation was not due to a higher frequency of those apo(a) types that are associated with high Lp(a) levels in familial hypercholesterolemia patients. Rather Lp(a) levels were elevated for each of the apo(a) phenotypes examined. The effects of the apo(a) and low density lipoprotein receptor genes on Lp(a) levels are not additive but multiplicative. This is a situation not commonly considered in quantitative human genetics. We conclude that Lp(a) levels in plasma may be determined by variation at more than one gene locus.

Arteriosclerosis↗

[Research and application of animal genetic marker-assisted selection].

With the development of molecular and quantitative genetics and its related subjects, it made a great progress on the research about animal genetic marker-assisted selection (MAS). There were also some successful examples on the application of MAS to animal genetic improvement. The statistical method which using phenotypic, pedigree and genetic marker information to predict individual breeding values has already been developed. Many achievements were obtained from the researches, which carried on MAS relative efficiency and its affecting factors and selection schemes. The present paper reviewed some progresses of MAS research and discussed some problems about MAS application to animal breeding.

English Abstract↗

A strong and highly significant QTL on chromosome 6 that protects the mouse from age-related retinal degeneration.

PURPOSE: BALB/cByJ (C) albino mice have significantly more retinal degeneration as they age than C57BL/6J-c(2J) (B6) albinos. To discover the genetic loci that influence age-related retinal degeneration (ARD), a quantitative genetics study was performed with 8-month-old progeny from an intercross between these two strains. METHODS: The thickness of the outer nuclear layer of the retina was used as the quantitative trait. A genome-wide scan was performed with 86 genetic markers at an average distance of 15.7 cM. Map Manager QTX was used to analyze the data. RESULTS: Three highly significant quantitative trait loci (QTLs) were detected on mouse chromosomes (Chrs) 6, 10, and 16. The B6 alleles were protective against ARD in the first two, and the C allele was protective in the third. Several suggestive, weak QTLs were also found, along with a gender-related effect. The strongest and most highly significant QTL on Chr 6 accounted for 30% of the total genetic effect with a LOD score of 13.5. The RPE65/MET450 variant of major influence on constant light-induced retinal degeneration (LRD) in a previous study of these same two mouse strains had no influence on ARD, and only some of the weak, suggestive QTLs influencing ARD were also observed in LRD. CONCLUSIONS: Because none of the ARD QTLs was homologous to human chromosomal loci so far implicated in age-related macular degeneration, each represents a new candidate gene for potential study. The gene represented by the Chr 6 QTL is of particular interest because it has broad influence, very high significance, and a B6 allele that protects against ARD.

Aging↗