Testing for age-at-onset anticipation with affected parent-child pairs

The tendency for the onset of a genetic disease to occur at progressively earlier ages or with progressively greater severity in successive generations is known as anticipation. Following the discovery of trinucleotide repeat expansion as a plausible genetic mechanism for anticipation, interest in testing for anticipation has increased. Studies of anticipation can be biased when parents with late onset or children with early onset are preferentially ascertained. This paper presents a nonparametric approach to testing for age-at-onset anticipation that adjusts for such preferential ascertainment. The approach is illustrated through application to data on panic disorder.     

Deletion bias in avian introns over evolutionary timescales

The role that introns play in the function and evolution of nuclear genomes is not fully understood. Recent models of intron evolution suggest that selection and drift may interact to maintain introns in multicellular organisms. In addition, deletion mutations are more likely to become fixed than insertion mutations. Examination of indel substitutions over macroevolutionary timescales in pigeons and doves (Aves: Columbiformes) reveals that deletion substitutions outnumber insertion substitutions by over six times. The length of indel events is variable.     

Evolutionary pressures on apicoplast transit peptides

Malaria parasites (species of the genus Plasmodium) harbor a relict chloroplast (the apicoplast) that is the target of novel antimalarials. Numerous nuclear-encoded proteins are translocated into the apicoplast courtesy of a bipartite N-terminal extension. The first component of the bipartite leader resembles a standard signal peptide present at the N-terminus of secreted proteins that enter the endomembrane system. Analysis of the second portion of the bipartite leaders of P. falciparum, the so-called transit peptide, indicates similarities to plant transit peptides, although the amino acid composition of P. falciparum transit peptides shows a strong bias, which we rationalize by the extraordinarily high AT content of P. falciparum DNA. 786 plastid transit peptides were also examined from several other apicomplexan parasites, as well as from angiosperm plants. In each case, amino acid biases were correlated with nucleotide AT content. A comparison of a spectrum of organisms containing primary and secondary plastids also revealed features unique to secondary plastid transit peptides. These unusual features are explained in the context of secondary plastid trafficking via the endomembrane system.     

A Survey of Codon and Amino Acid Frequency Bias in Microbial Genomes Focusing on Translational Efficiency

Unequal use of synonymous codons has been found in several prokaryotic and eukaryotic genomes. This bias has been associated with translational efficiency. The prevalence of this bias across lineages is currently unknown. Here, a new method (GCB) to measure codon usage bias is presented. It uses an iterative approach for the determination of codon scores and allows the computation of an index of codon bias suitable for interspecies comparison. A server to calculate GCB-values of individual genes as well as a list of compiled results are available at . The method was applied to complete bacterial genomes. The relation of codon usage bias with amino acid composition and the choice of stop codons were determined and discussed.     

Codon Usage Decreases the Error Minimization Within the Genetic Code

The genetic code is not random but instead is organized in such a way that single nucleotide substitutions are more likely to result in changes between similar amino acids. This fidelity, or error minimization, has been proposed to be an adaptation within the genetic code. Many models have been proposed to measure this adaptation within the genetic code. However, we find that none of these consider codon usage differences between species. Furthermore, use of different indices of amino acid physicochemical characteristics leads to different estimations of this adaptation within the code. In this study, we try to establish a more accurate model to address this problem. In our model, a weighting scheme is established for mistranslation biases of the three different codon positions, transition/transversion biases, and codon usage. Different indices of amino acids physicochemical characteristics are also considered. In contrast to pervious work, our results show that the natural genetic code is not fully optimized for error minimization. The genetic code, therefore, is not the most optimized one for error minimization, but one that balances between flexibility and fidelity for different species.     

Phylogeny and the Evolution of the <Emphasis Type="Italic">Amylase</Emphasis> Multigenes in the <Emphasis Type="Italic">Drosophila montium</Emphasis> Species Subgroup

Abstract To investigate the phylogenetic relationships and molecular evolution of α-amylase (Amy) genes in the Drosophila montium species subgroup, we constructed the phylogenetic tree of the Amy genes from 40 species from the montium subgroup. On our tree the sequences of the auraria, kikkawai, and jambulina complexes formed distinct tight clusters. However, there were a few inconsistencies between the clustering pattern of the sequences and taxonomic classification in the kikkawai and jambulina complexes. Sequences of species from other complexes (bocqueti, bakoue, nikananu, and serrata) often did not cluster with their respective taxonomic groups. This suggests that relationships among the Amy genes may be different from those among species due to their particular evolution. Alternatively, the current taxonomy of the investigated species is unreliable. Two types of divergent paralogous Amy genes, the so-called Amy1- and Amy3-type genes, previously identified in the D. kikkawai complex, were common in the montium subgroup, suggesting that the duplication event from which these genes originate is as ancient as the subgroup or it could even predate its differentiation. Thc Amy1-type genes were closer to the Amy genes of D. melanogaster and D. pseudoobscura than to the Amy3-type genes. In the Amy1-type genes, the loss of the ancestral intron occurred independently in the auraria complex and in several Afrotropical species. The GC content at synonymous third codon positions (GC3s) of the Amy1-type genes was higher than that of the Amy3-type genes. Furthermore, the Amy1-type genes had more biased codon usage than the Amy3-type genes. The correlations between GC3s and GC content in the introns (GCi) differed between these two Amy-type genes. These findings suggest that the evolutionary forces that have affected silent sites of the two Amy-type genes in the montium species subgroup may differ.     

Accounting for nonignorable verification bias in assessment of diagnostic tests

A "gold" standard test, providing definitive verification of disease status, may be quite invasive or expensive. Current technological advances provide less invasive, or less expensive, diagnostic tests. Ideally, a diagnostic test is evaluated by comparing it with a definitive gold standard test. However, the decision to perform the gold standard test to establish the presence or absence of disease is often influenced by the results of the diagnostic test, along with other measured, or not measured, risk factors. If only data from patients who received the gold standard test were used to assess the test performance, the commonly used measures of diagnostic test performance--sensitivity and specificity--are likely to be biased. Sensitivity would often be higher, and specificity would be lower, than the true values. This bias is called verification bias. Without adjustment for verification bias, one may possibly introduce into the medical practice a diagnostic test with apparent, but not truly, high sensitivity. In this article, verification bias is treated as a missing covariate problem. We propose a flexible modeling and computational framework for evaluating the performance of a diagnostic test, with adjustment for nonignorable verification bias. The presented computational method can be utilized with any software that can repetitively use a logistic regression module. The approach is likelihood-based, and allows use of categorical or continuous covariates. An explicit formula for the observed information matrix is presented, so that one can easily compute standard errors of estimated parameters. The methodology is illustrated with a cardiology data example. We perform a sensitivity analysis of the dependency of verification selection process on disease.     

Comparative Molecular Evolution of Primary (<Emphasis Type="BoldItalic">Buchnera</Emphasis>) and Secondary Symbionts of Aphids Based on Two Protein-Coding Genes

A+T content, phylogenetic relationships, codon usage, evolutionary rates, and ratio of synonymous versus non-synonymous substitutions have been studied in partial sequences of the atpD and aroQ/pheA genes of primary (Buchnera) and secondary symbionts of aphids and a set of selected non-symbiotic bacteria, belonging to the five subdivisions of the Proteobacteria. Compared to the homologous genes of the last group, both genes belonging to Buchnera behave in a similar way, showing a higher A+T content, forming a monophyletic group, a loss in codon bias, especially in third base position, an evolutionary acceleration and an increase in the number of non-synonymous substitutions, confirming previous results reported elsewhere for other genes. When available, these properties have been partly observed with the secondary symbionts, but with values that are intermediate between Buchnera and free living Proteobacteria. They show high A+T content, but not as high as Buchnera, a non-solved phylogenetic position between Buchnera, and the other γ-Proteobacteria, a loss in codon bias, again not as high as in Buchnera and a significant evolutionary acceleration in the case of the three atpD genes, but not when considering aroQ/pheA genes. These results give support to the hypothesis that they are symbionts at different stages of the symbiotic accommodation to the host.     

Phylogeny Derived from Coding Retroviral Genome Organization

When divergence between viral species is large, the analysis and comparison of nucleotide or protein sequences are dependent on mutation biases and multiple substitutions per site leading, among other things, to the underestimation of branch lengths in phylogenetic trees. To avoid the problem of multiply substituted sites, a method not directly based on the nucleic or protein sequences has been applied to retroviruses. It consisted of asking questions about genome structure or organization, and gene function, the series of answers creating coded sequences analyzed by phylogenic software. This method recovered the principal retroviral groups such as the lentiviruses and spumaviruses and highlighted questions and answers characteristic of each group of retroviruses. In general, there was reasonable concordance between the coded genome methodology and that based on conventional phylogeny of the integrase protein sequence, indicating that integrase was fixing mutations slowly enough to marginalize the problem of multiple substitutions at sites. To a first approximation, this suggests that the acquisition of novel genetic features generally parallels the fixation of amino acid substitutions. Received: 18 May 2001 / Accepted: 7 September 2001