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Clinically relevant sequence-based genotyping of HBV, HCV, CMV, and HIV.

The term 'genotyping' describes the genetic characterization of a genome. The genotype analysis is performed to identify mutations that differentiate one individual or strain from another. The mutations may confer resistance to specific antiviral drugs or they may simply allow classification of a strain as to 'type' and 'subtype'. There are four human viruses for which genotype information is clinically useful. Hepatitis B virus (HBV) infections are being treated with antiretroviral drugs and resistance after prolonged treatment is common. Since HBV cannot be cultured, the only method of detecting resistance-conferring mutations in the genome is a genotypic analysis. Hepatitis C virus (HCV) infection can be cured by treatment with the combination of interferon and ribavirin but certain strains of virus are more resistant to treatment than others. The current recommendations are that all HCV type 1 infections be treated for 12 months whereas other types may be successfully treated in 6 months. Since interferon treatment may have significant side effects, the determination of HCV genotype is an important aspect of this therapeutic regimen. Treatment of cytomegalovirus (CMV) disease with nucleoside analogues occasionally results in resistant virus with mutations in the phosphotransferase gene (UL97) and/or the DNA polymerase gene (UL54) that can be tested with phenotypic or genotypic assays. Since CMV grows very slowly, it may be more clinically useful to perform a rapid genotypic assay although only the UL97 gene can be efficiently genotyped. Finally, the virus for which genotyping has become the standard of care, human immunodeficiency virus type 1 (HIV-1) can now be genotyped routinely by many clinical virology labs experienced with molecular amplification methods and automated DNA sequencing technology. All currently-available antiretroviral drugs are directed against either the protease or reverse transcriptase genes of HIV-1 and the mutations within these genes that confer resistance have been well described. Sequence-based genotyping methods are not necessarily the best approach for routine genotyping of these four viruses, but sequencing is the gold standard from which other methods are developed and against which they are compared.

Base Sequence↗

Cytochrome P450 pharmacogenetics in drug development: in vitro studies and clinical consequences.

Members of the human cytochrome P450 (CYP) superfamily play a role in the metabolism of many drugs and several of them, CYP2D6, CYP2C9 and CYP2C19, have been shown to be polymorphic as a result of single nucleotide polymorphisms (SNPs), gene deletions, and gene duplications. These polymorphisms can impact the pharmacokinetics (PK), metabolism, safety and efficacy of drugs, and because of the availability of automation, genotyped human tissue, recombinant CYP preparations (rCYPs) and reagents, most pharmaceutical companies have increasingly screened out compounds that are metabolized solely by polymorphic CYPs. In the absence of suitable animal models, it has been widely accepted that such in vitro data are useful because one can obtain information prior to dosing in man and select the most appropriate clinical studies with prospectively genotyped and phenotyped subjects. Overall, current trends in the industry have been fueled by increased managed healthcare, the desire to minimize the need for therapeutic drug monitoring and CYP genotyping in medical practice, and a very competitive market place. In the past, such paradigms have not been as influential and there are numerous examples of marketed drugs that are metabolized by polymorphic CYPs.

Animals↗

[Lymphocyte subpopulations in workers exposed occupationally to styrene].

In a group of 32 workers occupationally exposed to styrene, the distribution of lymphocyte subsets was investigated by automated flow cytometry. The group under study consisted of 22 male and 10 female workers aged 39.7, D.S. = 10 years and employed for 6.8 years in factories manufacturing glass fibre-reinforced plastics. A control group (12 males and 7 females) recruited according to the same selection criteria was simultaneously examined. Environmental and biological monitoring was used to characterize styrene exposure. In styrene-exposed workers, phenotypic analysis of peripheral blood revealed a reduced proportion of T helper lymphocytes and a relative increase in the T suppressor subset, leading to a significant inversion of the helper/suppressor ratio (0.92) among heavily exposed workers (greater than 50 ppm, 8h-TWA) as compared to less exposed workers and controls (1.37 and 1.43 respectively). The proportion of natural killer (NK) T lymphocytes was significantly increased among styrene workers. The proportion of B lymphocytes was unchanged as compared to the control group. Dose-response relationships were clearly apparent for the observed increases in the prevalence of abnormalities: none of control subjects showed more than 2 (out of 8) abnormal values as compared to 20 and 40% of styrene workers belonging respectively to the low and high exposure group (p less than 0.007). Only a minority of controls exhibited abnormally high levels of both NK and suppressor T lymphocytes (0-5%), the corresponding figures for styrene workers being 7-10% (low exposure) and 45% (high exposure). As a whole, the findings support the hypothesis of the immunotoxicity of styrene, which could be due either to direct effects on lymphocytes or to indirect mechanisms possibly mediated by neuroendocrine changes.

Adult↗

Genetic similarity and phenotypic diversity of commensal and pathogenic strains of Candida albicans isolated from the oral cavity.

Colony phenotype and genetic similarity were assessed within and between groups of commensal and pathogenic strains of Candida albicans collected from the oral cavities of individuals in a single geographical locale. Thirty-eight percent of pathogenic isolates contained predominant or minor variant colony morphologies (other than smooth) when samples from the sites of infection were cultured on plates, while 16% of commensal isolates contained minor variant colony morphologies when samples from the sites of carriage were cultured. The genetic similarities of isolates within and between groups were assessed by DNA fingerprinting by using Southern blot hybridization with the fingerprinting probe Ca3 and analysis with the computer-assisted, automated Dendron system. Both the commensal and the pathogenic groups contained a major cluster of genetically similar C. albicans isolates representing 31 and 33% of the strains in the respective groups. When a combined dendrogram of both commensal and pathogenic isolates was generated, the major clusters of genetically similar isolates in each group mixed into one large cluster. Minor clusters in the individual dendrograms also mixed. These results suggest common clonal origins for commensal and pathogenic strains in the same geographical locale.

Adult↗

Genetic contributions to regional variability in human brain structure: methods and preliminary results.

Twin studies provide one approach for investigating and partitioning genetic and environmental contributions to phenotypic variability in human brain structure. Previous twin studies have found that cerebral volume, hemispheric volume, ventricular volume, and cortical gyral pattern variability were heritable. We investigated the contributions of genetic and environmental factors to both global (brain volume and lateral ventricular volume) and regional (parcellated gray matter) variability in brain structure. We examined MR images from 10 pairs of healthy monozygotic and 10 pairs of same-sex dizygotic twins. Regional gray matter volume was estimated by automated image segmentation, transformation to standard space, and parcellation using a digital atlas. Heritability was estimated by path analysis. Estimated heritability for brain volume variability was high (0.66; 95% confidence interval 0.17, 1.0) but the major effects on lateral ventricular volume variability were common and unique environmental factors. We constructed a map of regional brain heritability and found large genetic effects shared in common between several bilateral brain regions, particularly paralimbic structures and temporal-parietal neocortex. We tested three specific hypotheses with regard to the genetic control of brain variability: (i) that the strength of the genetic effect is related to gyral ontogenesis, (ii) that there is greater genetic control of left than of right hemisphere variability, and (iii) that random or fluctuating asymmetry in bilateral structures is not heritable. We found no evidence in support of the first two hypotheses, but our results were consistent with the third hypothesis. Finally, we used principal component (PC) analysis of the genetic correlation matrix, to identify systems of anatomically distributed gray matter regions which shared major genetic effects in common. Frontal and parietal neocortical areas loaded positively on the first PC; some paralimbic and limbic areas loaded negatively. Bilateral insula, some frontal regions, and temporal neocortical regions functionally specialized for audition and language loaded strongly on the second PC. We conclude that large samples are required for powerful investigation of genetic effects in imaging data from twins. However, these preliminary re. sults suggest that genetic effects on structure of the human brain are regionally variable and predominantly symmetric in paralimbic structures and lateral temporal cortex.

Algorithms↗

Distinguishing specific from broad genetic associations between external correlates and common factors.

MOTIVATION: Within the genomic structural equation modelling (genomic SEM) framework, common factors are often used to index shared genetic etiology across constellations of genome-wide associations studies (GWASs) phenotypes. A standard common pathway model, in which a genetic association is estimated between an external GWAS phenotype and a common factor, assumes that all genetic associations between the external GWAS phenotype and the individual indicator phenotypes are mediated through the factor. This assumption can be tested using the QTrait statistic, which compares the common pathway model to an independent pathways model that allows for direct genetic associations between the external GWAS phenotype and the individual indicators of the factor. However, QTrait is not designed to identify either the magnitude or the source of this heterogeneity. RESULTS: We expand upon the QTrait approach by describing an effect size index that quantifies the degree to which the common pathways model is violated, and we provide a systematic approach for empirically identifying specific direct pathways between an external trait and indicator traits. Our method comprises a series of omnibus tests and outlying indicator detection algorithms indexing the heterogeneity of associations between the genetic component of external traits and the individual indicators of common factors. We provide a set of automated functions which we apply to investigate the patterns of genetic associations across a set of external correlates with respect to indicators of general cognitive ability and case-control and proxy GWAS indices of Alzheimer's disease. AVAILABILITY AND IMPLEMENTATION: The Genomic SEM R package and the QTrait function is available at https://github.com/GenomicSEM/GenomicSEM. The QTrait function tutorial is available at https://github.com/GenomicSEM/GenomicSEM/wiki/8.-Tutorials. To ensure reproducibility of the analyses presented in this manuscript, the exact version of the QTrait function used, along with input data and scripts, has been archived on Zenodo (DOI: https://doi.org/10.5281/zenodo.17186083).

Genome-Wide Association Study↗

Diagnosis and prognosis of renal-cell tumors: a molecular approach.

This review discusses the impact of molecular genetics on the diagnosis and prediction of the prognosis for renal-cell tumors. Through the use of molecular techniques, it has become possible to divide renal-cell tumors into genetically and biologically well-defined entities. The new classification has many advantages over morphological ones: (1) in contrary to tumor phenotype, genetic markers are constant during tumor progression and allow a precise diagnosis; (2) genetic analysis discriminates between papillary (multiple origin) and nonpapillary renal-cell carcinomas (solitary tumors); (3) genetic analysis allows a precise diagnosis of renal adenoma; (4) the new classification system offers a genetic prognostic system; and (5) the new diagnostic-prognostic system could easily be adapted to modern detection systems such as automated sequence and fragment-length analysis, which allow a quick and correct diagnosis with a high throughput.

Adenocarcinoma↗

PCR multiplexed microsatellite panels to expedite canine genetic disease linkage analysis.

Modern dog breeds possess large numbers of genetic diseases for which there are currently few candidate genes or diagnostic tests. Linkage of a microsatellite marker to a disease phenotype is often the only available tool to aid in the development of screening tests for disease carriers. Detection of linkage to a specific disease phenotype requires screening of large numbers of markers across known affected and unaffected animals. To establish high throughput genome scanning this study placed 100 canine microsatellite markers, arranged by fragment size and fluorescent dye label, into 12 PCR multiplexed panels. The highest degree of multiplexing was 11 markers per panel while the lowest was five markers per panel; each panel was run in one gel lane on automated DNA sequencers. Selection of the markers was based upon chromosomal or linkage group locations, degree of polymorphism, PCR multiplex compatibility and ease of interpretation. The marker set has an average spacing of 22.25 centiMorgan (cM). Marker polymorphism was evaluated across 28 American Kennel Club (AKC) recognized breeds. The utility of buccal swab vs. blood samples was also validated in this study as all template DNA was derived from swabs obtained and submitted by participating dog breeders and owners. The PCR multiplexed microsatellite panels and sampling method described in this report will provide investigators with a cost effective and expedient means of pursuing linkage studies of specific canine genetic diseases.

Alleles↗

Epigenetic overlap in autism-spectrum neurodevelopmental disorders: MECP2 deficiency causes reduced expression of UBE3A and GABRB3.

Autism is a common neurodevelopmental disorder of complex genetic etiology. Rett syndrome, an X-linked dominant disorder caused by MECP2 mutations, and Angelman syndrome, an imprinted disorder caused by maternal 15q11-q13 or UBE3A deficiency, have phenotypic and genetic overlap with autism. MECP2 encodes methyl-CpG-binding protein 2 that acts as a transcriptional repressor for methylated gene constructs but is surprisingly not required for maintaining imprinted gene expression. Here, we test the hypothesis that MECP2 deficiency may affect the level of expression of UBE3A and neighboring autism candidate gene GABRB3 without necessarily affecting imprinted expression. Multiple quantitative methods were used including automated quantitation of immunofluorescence and in situ hybridization by laser scanning cytometry on tissue microarrays, immunoblot and TaqMan PCR. The results demonstrated significant defects in UBE3A/E6AP expression in two different Mecp2 deficient mouse strains and human Rett, Angelman and autism brains compared with controls. Although no difference was observed in the allelic expression of several imprinted transcripts in Mecp2-null brain, Ube3a sense expression was significantly reduced, consistent with the decrease in protein. A non-imprinted gene from 15q11-q13, GABRB3, encoding the beta3 subunit of the GABAA receptor, also showed significantly reduced expression in multiple Rett, Angelman and autism brain samples, and Mecp2 deficient mice by quantitative immunoblot. These results suggest an overlapping pathway of gene dysregulation within 15q11-q13 in Rett, Angelman and autism and implicate MeCP2 in the regulation of UBE3A and GABRB3 expressions in the postnatal mammalian brain.

Angelman Syndrome↗

Routine rapid Mycobacterium species assignment based on species-specific allelic variation in the 65-kilodalton heat shock protein gene (hsp65).

OBJECTIVE: To assess the utility of automated DNA sequencing strategies for Mycobacterium species assignment and surrogate rifampin susceptibility testing of Mycobacterium tuberculosis complex isolates in a hospital-based clinical microbiology laboratory. DESIGN: Consecutive patient specimens (n = 161) cultured in BACTEC 12B medium (growth index of 50 or greater) or on solid media (Löwenstein-Jensen) were analyzed. A 360-bp segment of a gene (hsp65) encoding a 65-kd heat shock protein was sequenced to identify species-specific allelic polymorphism. Identification of sequence variation in the rpoB gene encoding the beta subunit of RNA polymerase was used as a surrogate method to assess rifampin susceptibility in M tuberculosis complex isolates. RESULTS: The automated DNA sequencing strategies rapidly identified virtually all mycobacteria (158 [98%] of 161) to the species level and unambiguously characterized the region of rpoB that contains mutations responsible for rifampin resistance in M tuberculosis strains. With few exceptions, DNA sequence-based species assignment data agreed with diagnostic information obtained by conventional methods. All discrepancies were due to ambiguous biochemical test data or interpretation. The rifampin susceptibility phenotype was correctly predicted for all strains by rpoB sequencing. CONCLUSIONS: Rapid mycobacterial species assignment based on hsp65 sequencing can be routinely performed in a hospital diagnostic microbiology laboratory setting. The method is especially useful for identification of fastidious organisms, such as Mycobacterium genavense. Sequencing of the rifampin-resistance-determining region of rpoB provides a convenient surrogate strategy for predicting rifampin susceptibility in M tuberculosis complex isolates.

Alleles↗

Creation and implications of a phenome-genome network.

Although gene and protein measurements are increasing in quantity and comprehensiveness, they do not characterize a sample's entire phenotype in an environmental or experimental context. Here we comprehensively consider associations between components of phenotype, genotype and environment to identify genes that may govern phenotype and responses to the environment. Context from the annotations of gene expression data sets in the Gene Expression Omnibus is represented using the Unified Medical Language System, a compendium of biomedical vocabularies with nearly 1-million concepts. After showing how data sets can be clustered by annotative concepts, we find a network of relations between phenotypic, disease, environmental and experimental contexts as well as genes with differential expression associated with these concepts. We identify novel genes related to concepts such as aging. Comprehensively identifying genes related to phenotype and environment is a step toward the Human Phenome Project.

Aging↗

A robust meta-classification strategy for cancer diagnosis from gene expression data.

One of the major challenges in cancer diagnosis from microarray data is to develop robust classification models which are independent of the analysis techniques used and can combine data from different laboratories. We propose a meta-classification scheme which uses a robust multivariate gene selection procedure and integrates the results of several machine learning tools trained on raw and pattern data. We validate our method by applying it to distinguish diffuse large B-cell lymphoma (DLBCL) from follicular lymphoma (FL) on two independent datasets: the HuGeneFL Affmetrixy dataset of Shipp et al. (www. genome.wi.mit.du/MPR /lymphoma) and the Hu95Av2 Affymetrix dataset (DallaFavera's laboratory, Columbia University). Our meta-classification technique achieves higher predictive accuracies than each of the individual classifiers trained on the same dataset and is robust against various data perturbations. We also find that combinations of p53 responsive genes (e.g., p53, PLK1 and CDK2) are highly predictive of the phenotype.

Algorithms↗

Association between MICA gene A4 allele and acute anterior uveitis in white patients with and without HLA-B27.

PURPOSE: Acute anterior uveitis is strongly associated with the HLA-B27 antigen and triggered by the involvement of some external factors. However, it is uncertain whether HLA-B27 itself or other gene(s) near the HLA-B region in a linkage disequilibrium with HLA-B27 predispose to this uveitis. We therefore investigated microsatellite polymorphism in the transmembrane region of the major histocompatibility complex class I chain-related gene A (MICA), located 47 kilobases (kb) on the centromeric side of the HLA-B gene on the short arm of chromosome 6 within 6p21.3. METHODS: We examined the following patients for MICA gene polymorphism by means of polymerase chain reaction and subsequent automated fragment detection by fluorescent-based technology: 64 (37 HLA-B27-positive and 27 HLA-B27-negative) whites with acute anterior uveitis, 74 (67 HLA-B27-negative and 7 HLA-B27-positive) ethnically matched random controls, and 36 HLA-B27-positive healthy controls. RESULTS: The microsatellite allele consisting of four repetitions of GCT/AGC (designated A4 allele) was present at the significantly higher phenotype frequency (71.9%) in the patient group than in the ethnically matched random control group (13.5%) (P < .0000001, corrected P < .0000001). The A4 allele was strongly linked to HLA-B27 in a white population. However, the A4 allele was also found at the significantly higher phenotype frequency (37.0%) even in the HLA-B27-negative patient group than in the ethnically matched HLA-B27-negative control group (4.5%) (P = .0086, corrected P = .043). CONCLUSIONS: These results suggest that the MICA gene itself or other nearby gene(s) linked to the MICA A4 allele may be involved in the development of acute anterior uveitis in a white population.

Acute Disease↗

Identification of Heterodera glycines (soybean cyst nematode [SCN]) cDNA sequences with high identity to those of Caenorhabditis elegans having lethal mutant or RNAi phenotypes.

The soybean cyst nematode (SCN; Heterodera glycines) is a devastating obligate parasite of Glycine max (soybean) causing one billion dollars in losses to the US economy per year and over ten billion dollars in losses worldwide. While much is understood about the pathology of H. glycines, its genome sequence is not well characterized or fully sequenced. We sought to create bioinformatic tools to mine the H. glycines nucleotide database. One way is to use a comparative genomics approach by anchoring our analysis with an organism, like the free-living nematode Caenorhabditis elegans. Unlike H. glycines, the C. elegans genome is fully sequenced and is well characterized with a number of lethal genes identified through experimental methods. We compared an EST database of H. glycines with the C. elegans genome. Our goal was identifying genes that may be essential for H. glycines survival and would serve as an automated pipeline for RNAi studies to both study and control H. glycines. Our analysis yielded a total of nearly 8334 conserved genes between H. glycines and C. elegans. Of these, 1508 have lethal phenotypes/phenocopies in C. elegans. RNAi of a conserved ribosomal gene from H. glycines (Hg-rps-23) yielded dead and dying worms as shown by positive Sytox fluorescence. Endogenous Hg-rps-23 exhibited typical RNA silencing as shown by RT-PCR. However, an unrelated gene Hg-unc-87 did not exhibit RNA silencing in the Hg-rps-23 dsRNA-treated worms, demonstrating the specificity of the silencing.

Animals↗

Four novel mutant alleles of the arylsulfatase B gene in two patients with intermediate form of mucopolysaccharidosis VI (Maroteaux-Lamy syndrome).

Mucopolysaccharidosis type VI (MPSVI, Maroteaux-Lamy syndrome) is a lysosomal storage disease for which multiple clinical phenotypes have been described. A deficiency of the enzyme arylsulfatase B (ASB, N-acetylgalactosamine-4-sulfatase) is the cause of this autosomal recessively inherited disorder. The genotypes of two patients with an intermediate form of MPSVI have been determined by polymerase chain reaction (PCR) amplification of the entire open reading frame of the ASB gene and subsequent direct sequencing of both strands of the PCR fragments by an automated nonradioactive approach. In patient A, a C to T transition in allele I resulting in an exchange of the Arg codon 160 for a premature stop codon (R160*, exon 2), and a G to A transition in allele II leading to a Gln to Arg160 substitution (R160Q, exon 2) were detected. Patient B exhibited a 7-bp deletion in exon 1 of allele I resulting in a frame shift and a premature stop codon 33 triplets 3' of the site of deletion (delta G237-C243), and a C to T transition in allele II giving rise to a Trp to Arg152 substitution (R152W, exon 2). None of these four mutant alleles was present among 60 alleles of the ASB gene in unrelated controls, indicating that the former are not polymorphisms. These results emphasize the broad molecular heterogeneity of Maroteaux-Lamy syndrome and contribute to the establishment of a genotype/phenotype correlation in this disease.

Alleles↗

Prevalence of cardiac beta-myosin heavy chain gene mutations in patients with hypertrophic cardiomyopathy.

Hypertrophic cardiomyopathy (HCM) is a frequent, autosomal-dominant cardiac disease and manifests predominantly as left ventricular hypertrophy. Mutations in the cardiac beta-myosin heavy chain gene (MYH7) are responsible for the disease in about 30% of cases where mutations were identified. We clinically evaluated a large group of 147 consecutive HCM patients from three cardiology centers in Germany, Poland, and Kyrgyzstan according to the same protocol. The DNA of the patients was systematically analyzed in the whole coding region of the MYH7 gene using PCR, single-strand conformation polymorphism analysis, and automated sequencing. Eleven different missense mutations (including seven novel ones) in 11 unrelated patients were identified, showing a mutation frequency of 7.5% in the study population. We further examined the families of five patients (three of German, one of Polish, and one of Kyrgyz origin) with 32 individuals in total. We observed a clear, age-dependent penetrance with onset of disease symptoms in the fourth decade of life. Genotype-phenotype correlations were different for each mutation, whereas the majority was associated with an intermediate/malign phenotype. In conclusion, we report a systematic molecular screening of the complete MYH7 gene in a large group of consecutive HCM patients, leading to a genetic diagnosis in 38 individuals. Information about the genotype in an individual from one family could be very useful for the clinician, especially when dealing with healthy relatives in doubt of their risk about developing HCM. The increasing application of genetic screening and the increasing knowledge about genotype-phenotype correlations will hopefully lead to an improved clinical management of HCM patients.

Adolescent↗

Cell-based assays using primary endothelial cells to study multiple steps in inflammation.

Cell-based assays are powerful tools for drug discovery and provide insight into complex signal transduction pathways in higher eukaryotic cells. Information gleaned from assays that monitor a cellular phenotype can be used to elucidate the details of a single pathway and to establish patterns of cross talk between pathways. By selecting the appropriate cell model, cell-based assays can be used to understand the function of a specific cell type in a complex disease process such as inflammation. We have used human umbilical vein endothelial cells to establish three cell-based, phenotypic assays that query different stages of a major signaling pathway activated in inflammation. One assay analyzes the tumor necrosis factor alpha (TNFalpha)-induced translocation of the transcription factor NF-kappaB from the cytoplasm into the nucleus 20 min after stimulation with TNFalpha. Two more assays monitor the expression of E-selectin and VCAM-1, 4 and 24 h after stimulation with TNFalpha. Indirect immunofluorescence and high-throughput automated microscopy were used to analyze cells. Imaging was performed with the IN Cell Analyzer 3000. All assays proved to be highly robust. Z' values between 0.7 and 0.8 make each of the three assays well suited for use in high-throughput screening for drug or probe discovery.

Animals↗

Evaluation of human-readable annotation in biomolecular sequence databases with biological rule libraries.

MOTIVATION: Computer-based selection of entries from sequence databases with respect to a related functional description, e.g. with respect to a common cellular localization or contributing to the same phenotypic function, is a difficult task. Automatic semantic analysis of annotations is not only hampered by incomplete functional assignments. A major problem is that annotations are written in a rich, non-formalized language and are meant for reading by a human expert. This person can extract from the text considerably more information than is immediately apparent due to his extended biological background knowledge and logical reasoning. APPROACH: A technique of automated annotation evaluation based on a combination of lexical analysis and the usage of biological rule libraries has been developed. The proposed algorithm generates new functional descriptors from the annotation of a given entry using the semantic units of the annotation as prepositions for implications executed in accordance with the rule library. RESULTS: The prototype of a software system, the Meta_A(nnotator) program, is described and the results of its application to sequence attribute assignment and sequence selection problems, such as cellular localization and sequence domain annotation of SWISS-PROT entries, are presented. The current software version assigns useful subcellular localization qualifiers to approximately 88% of all SWISS-PROT entries. As shown by demonstrative examples, the combination of sequence and annotation analysis is a powerful approach for the detection of mutual annotation/sequence inconsistencies. AVAILABILITY: Results for the cellular localization assignment can be viewed at the URL http://www.bork. embl-heidelberg.de/CELL_LOC/CELL_LOC.html.

Algorithms↗