Genetics. Modifying the message.
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Biomedical subjects
Publications and source records attributed to Joseph H Nadeau.
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Testicular germ cell tumors (TGCTs) are the most common solid cancers affecting young men. Although the evidence for genetic predisposition to TGCTs in humans is compelling, the genetic control of susceptibility is poorly understood. The 129S1/SvImJ (129/Sv) inbred strain of mice is an excellent model for studying TGCT susceptibility. We previously reported a new mouse strain, the 129.MOLF-Chr19 chromosome substitution strain, which develops spontaneous TGCTs at a high frequency (70-80%) as compared with the much lower rate in the 129/Sv strain (5%). To characterize the genetic control of TGCT susceptibility, we created a panel of single- and double-congenic strains derived from 129.MOLF-Chr19. The frequency of TGCTs in these strains suggests that several genes with additive and epistatic effects located at distinct sites on chromosome 19 control susceptibility. However, an alternative interpretation involving epigenesis is based on a striking correlation between TGCT frequency and the length of the MOLF-derived congenic segment, regardless of their chromosomal location on Chr 19 in each congenic strain. We also show that bilateral TGCT cases result from the coincidental co-occurrence of unilateral TGCTs rather than from the action of distinct genes that control susceptibility to bilateral versus unilateral TGCT cases. Finally, we propose that these TGCTs result from disrupted testicular and spermatogenic developmental programs.
Osteoporotic fracture incidence and underlying risk factors like low peak bone mass are heritable, but the genetic basis of osteoporosis remains poorly understood. Based on beam theory, stating that mechanical properties of a structure depend on both the amount and quality of the constituent materials, we investigated the relationship between whole bone mechanical properties and a set of morphological and compositional traits in femurs of eight inbred mouse strains. K-means cluster analysis revealed that individual femora could be classified reliably according to genotype based on the combination of bone area (tissue amount), moment of inertia (tissue distribution), and ash content (tissue quality). This trait combination explained 66-88% of the inter-strain variability in four whole-bone mechanical properties that describe all aspects of the failure process, including measures of brittleness. Stiffness and maximum load were functionally associated with cortical area, while measures of brittleness were associated with ash content. In contrast, work-to-failure was not directly related to a single trait but depended on a combination of trait magnitudes. From these findings, which were entirely consistent with established mechanical theory, we developed a hierarchical paradigm relating the mechanical properties that define bone fragility with readily measurable phenotypic traits that exhibit strong heritability. This paradigm will help guide the search for genes that underlie fracture susceptibility and osteoporosis. Moreover, because the traits we examined are measurable with non-invasive means, this approach may also prove directly applicable to osteoporosis risk assessment.
Interest in modifier genes is growing rapidly because of their ability to modulate the phenotype of individuals with monogenic and multigenic traits and diseases. A neglected class of modifiers is protective alleles that can suppress disease in otherwise susceptible individuals. Together these modifier genes and protective alleles provide important glimpses into the molecular and cellular basis for the functional networks that provide robustness and homeostasis in complex biological systems.
Testicular germ cell tumors (TGCTs) are the most common cancer affecting young men. TGCT is a polygenic trait and genes that control susceptibility for TGCT development have not yet been identified. The 129/Sv inbred strain of mice is an important experimental model to study the genetics and development of TGCTs. We review several novel approaches that were developed to study the susceptibility of TGCTs in the 129/Sv mouse model and its application in humans. These approaches showed that several spontaneous and engineered mutations interact with 129/Sv-derived susceptibility genes to enhance or suppress susceptibility; two of these mutations (Ter and Trp53) revealed novel linkages for susceptibility genes in sensitized polygenic trait analysis. Linkage analysis with a chromosome substitution strains suggests that as many as 100 genes control susceptibility. Bilateral TGCTs result from the coincidental occurrence of unilateral tumors. These results highlight the important contributions that this mouse model can make to studies of TGCT susceptibility in humans.
During the next phase of the Human Genome Project, research will focus on functional studies of attributing functions to genes, their regulatory elements, and other DNA sequences. To facilitate the use of genomic information in such studies, a new modeling perspective is needed to examine and study genome sequences in the context of many kinds of biological information. Pathways are the logical format for modeling and presenting such information in a manner that is familiar to biological researchers. In this paper, we introduce an integrated system, called "Pathways Database System," with a set of software tools for modeling, storing, analyzing, visualizing, and querying biological pathways data at different levels of genetic, molecular, biochemical and organismal detail.
The mammalian epigenetic phenomena of X inactivation and genomic imprinting are incompletely understood. X inactivation equalizes X-linked expression between males and females by silencing genes on one X chromosome during female embryogenesis. Genomic imprinting functionally distinguishes the parental genomes, resulting in parent-specific monoallelic expression of particular genes. N-ethyl-N-nitrosourea (ENU) mutagenesis was used in the mouse to screen for mutations in novel factors involved in X inactivation. Previously, we reported mutant pedigrees identified through this screen that segregate aberrant X-inactivation phenotypes and we mapped the mutation in one pedigree to chromosome 15. We now have mapped two additional mutations to the distal chromosome 5 and the proximal chromosome 10 in a second pedigree and show that each of the mutations is sufficient to induce the mutant phenotype. We further show that the roles of these factors are specific to embryonic X inactivation as neither genomic imprinting of multiple genes nor imprinted X inactivation is perturbed. Finally, we used mice bearing selected X-linked alleles that regulate X chromosome choice to demonstrate that the phenotypes of all three mutations are consistent with models in which the mutations have affected molecules involved specifically in the choice or the initiation of X inactivation.
A major problem in studying biological traits is understanding how genes work together to provide organismal structures and functions. Conventional reductionist paradigms attribute functions to particular proteins, motifs, and amino acids. An equally important but harder problem involves the synthesis of data at fundamental levels of biological systems to understand functionality at higher levels. We used subtle, naturally occurring, multigenic variation of cardiovascular (CV) properties in a panel of genetically randomized strains that are derived from the A/J and C57BL/6J strains of mice to perturb CV functions in nonpathologic ways. In this proof-of-concept study, computational analysis correctly identified the known relations among CV properties and revealed functionality at higher levels of the CV system. The network was then used to account for pleiotropies and homeostatic responses in single gene mutant mice and in mice treated with a pharmacologic agent (anesthesia). The CV network accounted for functional dependencies in complementary ways to the insights obtained from genetic networks and biochemical pathways. These networks are therefore an important approach for defining and characterizing functional relations in complex biological systems in health and disease.
Moderate hyperhomocysteinemia is associated with several diseases, including coronary artery disease, stroke, Alzheimer's disease, schizophrenia, and spina bifida. However, the mechanisms for their pathogenesis are unknown but could involve the interaction of homocysteine or its metabolites with molecular targets such as neurotransmitter receptors, channels, or transporters. We discovered that L-homocysteine sulfinic acid (L-HCSA), L-homocysteic acid, L-cysteine sulfinic acid, and L-cysteic acid are potent and effective agonists at several rat metabotropic glutamate receptors (mGluRs). These acidic homocysteine derivatives 1) stimulated phosphoinositide hydrolysis in the cells stably expressing the mGluR1, mGluR5, or mGluR8 (plus Galpha(qi9)) and 2) inhibited the forskolin-induced cAMP accumulation in the cells stably expressing mGluR2, mGluR4, or mGluR6, with different potencies and efficacies depending on receptor subtypes. Of the four compounds, L-HCSA is the most potent agonist at mGluR1, mGluR2, mGluR4, mGluR5, mGluR6, and mGluR8. The effects of the four agonists were selective for mGluRs because activity was not discovered when L-HCSA and several other homocysteine derivatives were screened against a large panel of cloned neurotransmitter receptors, channels, and transporters. These findings imply that mGluRs are candidate G-protein-coupled receptors for mediating the intracellular signaling events induced by acidic homocysteine derivatives. The relevance of these findings for the role of mGluRs in the pathogenesis of homocysteine-mediated phenomena is discussed.
Phenotypic variation among organisms is central to evolutionary adaptations underlying natural and artificial selection, and also determines individual susceptibility to common diseases. These types of complex traits pose special challenges for genetic analysis because of gene-gene and gene-environment interactions, genetic heterogeneity, low penetrance, and limited statistical power. Emerging genome resources and technologies are enabling systematic identification of genes underlying these complex traits. We propose standards for proof of gene discovery in complex traits and evaluate the nature of the genes identified to date. These proof-of-concept studies demonstrate the insights that can be expected from the accelerating pace of gene discovery in this field.
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During evolution different genes evolve at unequal rates, reflecting the varying functional constraints on phenotype. An important contributor to this variation is genetic buffering, which reduces the potential detrimental effects of mutations. We studied whether gene duplication and redundant metabolic networks affect genetic buffering by comparing the evolutionary rate of 242 human and mouse orthologous genes involved in metabolic pathways. A gene with a redundant network is defined as one for which the structural layout of metabolic pathways provides an alternative metabolic route that can, in principle, compensate for the loss of a protein function encoded by the gene. We found that genes with redundant networks evolve at similar rates as did genes without redundant networks, [corrected] but no significant difference was detected between single-copy genes and gene families. This implies that redundancy in metabolic networks provides significantly more genetic buffering than do gene families. We also found that genes encoding proteins involved in glycolysis and gluconeogenesis showed as a group a distinct pattern of variation, in contrast to genes involved in other pathways. These results suggest that redundant networks provide genetic buffering and contribute to the functional diversification of metabolic pathways.
X chromosome inactivation is the silencing mechanism eutherian mammals use to equalize the expression of X-linked genes between males and females early in embryonic development. In the mouse, genetic control of inactivation requires elements within the X inactivation center (Xic) on the X chromosome that influence the choice of which X chromosome is to be inactivated in individual cells. It has long been posited that unidentified autosomal factors are essential to the process. We have used chemical mutagenesis in the mouse to identify specific factors involved in X inactivation and report two genetically distinct autosomal mutations with dominant effects on X chromosome choice early in embryogenesis.
The objective of this study was to characterize genetic variation in complex cardiovascular traits in two commonly used inbred mouse strains. We performed echocardiography, graded treadmill exercise, tail cuff plethysmography, and telemetry (heart rate, activity, temperature) in age- ( approximately 9 weeks) and sex-matched A/J and C57BL/6J (B6) inbred mice. B6 mice had significantly larger end-diastolic dimension (3.31+/-0.42 mm versus 2.83+/-0.31 mm) and left ventricle mass (46.2+/-14.1 versus 32.7+/-11.5 g) than A/J mice. This relative hypertrophy was eccentric (relative wall thickness ratios: 0.30+/-0.01 versus 0.32+/-0.01) and was not associated with a difference in systolic blood pressure (122.0+/-13.2 versus 123.1+/-20.8 mmHg). Left ventricle fractional shortening (39.1+/-6.2 versus 47.1+/-6.9%) and heart rate (433+/-55 versus 524+/-45 beats per minute) were significantly lower in B6 versus A/J, respectively, resulting in similar resting echocardiographic cardiac indices (0.58+/-0.19 versus 0.50+/-0.17 ml/min/g). Maximum exercise time on a treadmill was significantly greater in B6 than in A/J mice (9.6+/-3.4 versus 4.4+/-1.9 minutes). Telemetry showed that body temperature was generally greater and heart rate lower in B6 than A/J; the relation with activity was more complex. These data suggest that relative to A/J, B6 mice have a phenotype characteristic of the "athlete's heart," that is, eccentric, physiologic hypertrophy, slower heart rates, and increased exercise endurance. This systematic characterization of functionally related cardiovascular traits in A/J and C57BL/6J mice revealed numerous differences whose genetic bases can be dissected with recombinant inbred, recombinant congenic, and chromosome substitution strains.
Hyperhomocysteinemia adversely affects fundamental aspects of fetal development, adulthood, and aging, but the role of elevated homocysteine levels in these birth defects and adult diseases remains unclear. Mouse models are valuable for investigating the causes and consequences of hyperhomocysteinemia. We used a phenotype-based approach to identify mouse mutants for studying the relation between single gene mutations, homocysteine levels as a measure of the status of homocysteine metabolism, and gene expression profiles as a way to assess the impact of protein deficiency in mutant mice on steady-state transcription levels of genes in the folate-homocysteine pathways. These mutants were selected based on their propensity to produce phenotypes that are reminiscent of those associated with anomalies in folate-homocysteine metabolism in humans. We report identification of new, single-gene mouse models of homocysteinemia and characterization of their molecular and physiological impact on folate-homocysteine metabolism. Mutations in several genes involved in the hedgehog and WNT signal transduction pathways, as well as a gene involved in lipid metabolism, resulted in elevated homocysteine levels and altered expression profiles of folate-homocysteine metabolism genes. These results begin to unravel the complex relations between elevation of a single amino acid in the blood and the diverse birth defects and adult diseases associated with hyperhomocysteinemia.
To examine genetic exchange between t haplotypes and their wild-type homologs, four previously identified mouse Chromosome (Chr) 17 variants termed mosaic haplotypes were analyzed in detail. Three of these haplotypes-one from a Mus musculus population in Bulgaria, one from a Mus domesticus population in Chile, and one from a M. domesticus population in Germany-display properties indicative of the t complex. All four haplotypes are exceptional because they are characterized by the presence of a few wild-type DNA markers in the distal inversion [In(17)4] of a t haplotype chromosome: thus, they are classified as mosaic t haplotypes. The mosaic pattern for each haplotype is distinct, however. We compared the mosaic haplotypes with each other, and with several well-characterized laboratory t haplotypes, by analyzing several DNA markers in the In(17)4 region of the t complex, where all of the mosaicism occurs. We used a combination of high-resolution restriction mapping, DNA sequencing, and analysis of new DNA markers to classify the haplotypes. This analysis shows that segmental exchange, either by gene conversion or double crossing-over, has occurred at molecular markers in the vicinity of a gene, Dnahc8, that is a candidate for the t complex distorter locus Tcd2. While it is unclear whether segmental exchanges have included the Tcd2 gene, it is apparent that several independent recombination events have occurred in In(17)4 during the recent evolution of t haplotypes.