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PubMed1991

[Analysis of 1410 examinations of fetal pathology at the University Hospitals of Bordeaux].

We present a retrospective study of 1,410 fetal pathological examinations performed in the department of pathology of the CHU de Bordeaux. Initially, the recruitment of the cases was limited to the three maternity units of the CHU. Public and private maternities and departments of pediatrics from the whole of Aquitaine (S.W. province) as well as a certain number of neighbouring provinces now send us their material for analysis. Fetal pathological examination is systematically indicated in cases concerning spontaneous abortion, pregnancies terminated after prenatal diagnosis and stillbirths. Autopsies performed on children aged from 0 to 1 year have been included. The same technique has been used for all examinations and the data have been recorded on a computerized system (Centre Régional d'Informatique Hospitalière). Current data analysis for age at death, sex-ratio, maternal age, mode of abortion and pathological conditions are given. We found at least one pathological anomaly in 43.2% of the spontaneously aborted fetuses and stillbirths. Nevertheless, our aim is to demonstrate that foetopathology units can play a role not only for diagnoses having a significant impact on genetic counseling, but also as a database for epidemiological studies.

Autopsy↗
PubMed2025

dbscATAC: a resource of single-cell super-enhancers/enhancers and gene markers derived from scATAC-seq data.

MOTIVATION: scATAC-seq enables high-resolution mapping of cis-regulatory elements. It has been widely applied to uncover cell-type-specific regulatory networks and complement scRNA-seq analysis in numerous studies. However, a large number of datasets generated by scATAC-seq remain underutilized due to limited exploration of super-enhancers/typical enhancers and gene markers. A comprehensive resource enabling cell-type-specific annotation of cis-regulatory elements and their dynamic enhancer-gene linkages remains an urgent unmet need for scATAC-seq. RESULTS: We present dbscATAC, a specialized single-cell database for annotating super-enhancers, gene markers, and enhancer-gene interactions derived from scATAC-seq data. Using improved machine learning algorithms, we identified 213 835 super-enhancers across 520 tissue/cell types from three species, as well as 347 484 gene markers, 13 470 526 enhancers, and 10 402 346 enhancer-gene interactions derived from 1 668 076 single cells spanning 1028 tissue/cell types in 13 species. An easy-to-use online platform with multiple analytic modules and hierarchical query options was developed for searching, browsing and visualizing single-cell super-enhancers, enhancers, and gene markers. dbscATAC provides a comprehensive resource to facilitate the exploration of enhancer landscapes, gene regulation, and cell-type-specific characteristics in single-cell epigenomics. AVAILABILITY AND IMPLEMENTATION: The database with all the super-enhancer/enhancer annotation data is available at http://singlecelldb.com/dbscATAC/index.php. And the source code of dbscATAC for prediction of SEs, enhancers, and gene markers are available at https://github.com/EvansGao/dbscATAC. The source code, tissue/cell type description, and data summary can be downloaded at DOI: 10.6084/m9.figshare.28706414.scATAC-seq, Database, Super-enhancers/enhancers, Gene markers.

Enhancer Elements, Genetic↗
PubMed2026

Expanding vaginal microbiome pangenomes via a custom MIDAS database reveals Lactobacillus crispatus accessory genes associated with cervical dysplasia.

The vaginal microbiome plays a central role in reproductive health. Vaginal microbiome dysbiosis is associated with many adverse reproductive health outcomes, but most studies have focused on associations at the species level. The potential contribution of intraspecies microbial variation, especially gene content differences across bacterial strains, remains underexplored in reproductive health contexts. The Metagenomic Intra-Species Diversity Analysis (MIDAS) framework enables such analyses, but depends on comprehensive reference databases. We constructed a MIDAS-compatible pangenome database from over 18,000 genomes in the Vaginal Microbiome Genome Collection (VMGC). Compared to the Genome Taxonomy Database (GTDB)-derived reference, the VMGC-derived database expanded the pangenomes of prevalent vaginal species, better capturing vaginal-specific intraspecies diversity. Applying this database to vaginal samples from a cervical dysplasia cohort, we identified 13 Lactobacillus crispatus accessory genes significantly associated with cervical dysplasia, including a HicAB toxin-antitoxin system, three transcriptional regulators, and three phage-derived genes. These findings highlight the utility of body site-specific reference resources and shotgun metagenomic sequencing for uncovering intraspecies microbial variation relevant to reproductive health.IMPORTANCEThe vaginal microbiome plays a critical role in reproductive health, and different bacteria from the same species can carry different genes that influence how the strains interact with the host and other microbes. These strain-level differences are often overlooked when microbiomes are analyzed only at the species level. Existing genomic reference databases are heavily biased toward gut and environmental bacteria, leaving the genetic diversity of vaginal microbes understudied. We built a specialized reference database from over 18,000 vaginal bacterial genomes that better reflects this diversity. We then applied this resource to quantify gene-level variation in vaginal samples from a cervical dysplasia cohort. Focusing on Lactobacillus crispatus, a prevalent and often beneficial vaginal species, we identified 13 genes that were more common in women with cervical dysplasia than in controls. This work demonstrates that body site-specific genomic resources are essential for uncovering strain-level bacterial differences relevant to reproductive health.

Lactobacillus crispatus↗
PubMed1991

Diagnosis of genetic disease using recombinant DNA. Third edition.

Recombinant DNA methodology has greatly increased our knowledge of the molecular pathology of the human genome at the same time as providing the means to diagnose inherited disease at the DNA level. Direct detection and analysis of a range of genetic defects are now possible using cloned gene or oligonucleotide probes or by direct sequencing of the disease gene(s). In addition, the use of restriction fragment length polymorphisms (RFLPs) within and around these genes as indirect genetic markers has not potentiated the tracking of disease alleles in affected pedigrees in cases where direct analysis was not feasible. RFLPs associated with linked anonymous segments may also be used not only to diagnose hitherto undetectable disease states, but also for chromosomal localization of the loci responsible. We present here an updated list of reports describing both the direct and the indirect analysis/diagnosis of human inherited disease; it is intended to serve as a guide to current molecular genetic approaches in diagnostic medicine.

DNA, Recombinant↗
PubMed1992

TCK: a clinical genetics data collection system.

This work examines the database design and user interface design for a clinical genetics data collection system known as TCK. A specific design goal is automatic generation of the CORN reports. Emphasis in this paper is on how the logical data model resulting from the database design, and the user interface work together to enforce the enterprise results pertaining to data. Data screens are shown, sample queries are explained and the data mapping to the CORN reports presented.

Computer Simulation↗
PubMed1991

Ancient movement patterns determine modern genetic variances in Europe.

A summary ethnohistory database on population movements in Europe between 2000 B.C. and A.D. 1970 was related to genetic variances and distances based on 26 genetic systems. For the purposes of these analyses, Europe was divided into 85 terrestrial quadrats measuring 5 degrees x 5 degrees. Counts, stratified by time, were taken of the number of movements out of and into each quadrat (called source and target counts, respectively) and between each pair of quadrats. The source and target counts have distinct and different patterns in Europe and vary significantly over time. Central Europe and the Pontic area have the quadrats with the highest source counts, and the Balkans have the highest target counts. Modern genetic variances per quadrat are significantly correlated with source and target counts, somewhat more prominently with source counts. Genetic distances between pairs of quadrats are correlated strongly with geographic distances and moderately and negatively correlated with the total number of movements between these quadrats. Partial correlations of genetic distances with total number of movements, holding geographic distance constant, are small and mostly nonsignificant. These results are interpreted in light of our knowledge of the history and biology of the populations concerned.

Databases, Factual↗
PubMed1990

Escherichia coli K12 genomic database.

We have compiled the genomic nucleic acid sequence data of Escherichia coli K12 available from the existing major data collections and from the literature. The collected data are structured as a database for easy access and analysis. The sequence segments in the database are ordered by genetic map position. Sequence redundancy has been completely removed by combining overlapping sequences; therefore, our sequence data are amenable to statistical analysis. We have specified with a plus or minus (+ or -) on which of the two DNA strands the segment exists. The database currently contains a total of 954,392 bp, which corresponds to about 20% of the entire genome size. The sequence data are available on request.

Base Sequence↗
PubMed1989

Hash function performance on different biological databases.

Open hashing is used to demonstrate the effectiveness of several hashing functions for the uniform distribution of biological records. The three types of database tested include (1) genetic nomenclature, mutation sites and strain names, (2) surnames extracted from literature files and (3) a set of 1000 numeric ASCII strings. Several hash functions (hashpjw, hashcrc and hashquad) showed considerable versatility on all data sets examined while two hash functions, hashsum and hashsmc, performed poorly, on the same databases.

Clinical Laboratory Information Systems↗
PubMed1992

The UK Human Genome Mapping Project online computing service.

This paper presents an overview of computing and networking facilities developed by the Medical Research Council to provide online computing support to the Human Genome Mapping Project (HGMP) in the UK. The facility is connected to a number of other computing facilities in various centres of genetics and molecular biology research excellence, either directly via high-speed links or through national and international wide-area networks. The paper describes the design and implementation of the current system, a 'client/server' network of Sun, IBM, DEC and Apple servers, gateways and workstations. A short outline of online computing services currently delivered by this system to the UK human genetics research community is also provided. More information about the services and their availability could be obtained by a direct approach to the UK HGMP-RC.

Computer Communication Networks↗
PubMed1991

Data collection in the Great Plains Genetics Service Network: using limited funds to collect data from centers with varying resources.

The Data Committee of the Great Plains Genetics Service Network (GPGSN) coordinates the collection of data relating to delivery of genetic services in eight states. These states are Iowa, Missouri, Arkansas, Oklahoma, Kansas, Nebraska, South Dakota and North Dakota. The funds allocated to this project by the GPGSN are limited. The distance between genetics service sites is great and the population density in the regions being served is low. The local resources available to the genetics services sites participating in data collection vary from robust to "bare-bones". The approach to solving the problem involved the following. First the committee the data items to be collected were identified and defined. Second, a standard format for transmitting the data to the GPGSN regional coordinating center in Iowa City was developed. Third, the services sites and their resources for collecting data were identified. Fourth, resources were allocated to different sites in a manner that seemed most able to help that center to contribute data to the regional center. Fifth, data were aggregated at the regional center and aggregated data reports were returned to collecting sites. Finally, items were modified in response to the feedback received from the genetics services sites. Although the philosophy is that data collection should be a by-product of providing quality genetic services, the region recognizes that service sites will need help to conform with regional standards. Therefore the region encourages each service site to develop its own method to collect data, and provides assistance to it in getting the data into the regional transmission format.(ABSTRACT TRUNCATED AT 250 WORDS)

Data Collection↗
PubMed2026

Genetic diversity and molecular mechanisms in hypertrophic cardiomyopathy: toward personalized therapy.

Hypertrophic cardiomyopathy (HCM) is the most common inherited cardiac muscle disorder, yet contemporary genomic and mechanistic research still lacks a cohesive model explaining how diverse genetic architectures give rise to heterogeneous phenotypes. This review synthesizes advances across sarcomeric and nonsarcomeric mutations, including intermediate-effect variants, polygenic modifiers, and ancestry-dependent sources of variant misclassification to elucidate how these factors govern disease penetrance and clinical expression. It critically evaluates how genetic diversity intersects with key molecular pathways, including sarcomeric hypercontractility, calcium dysregulation, mitochondrial energy deficiency, and transforming growth factor-β (TGF-β) and protein kinase B (AKT)/mammalian target of rapamycin (mTOR) signaling, to drive hypertrophic and fibrotic remodeling. Emerging mechanism-based therapies, such as myosin inhibition, allele-specific silencing, clustered regularly interspaced short palindromic repeats (CRISPR)-based correction, and metabolic modulation, are examined with respect to their capacity to modify upstream molecular drivers rather than downstream hemodynamic consequences. Persistent challenges, including variants of uncertain significance classification, ancestry-biased databases, inequitable access to genetic testing, and unresolved safety concerns for gene-based therapies, are critically assessed as major barriers to precision-medicine integration. By linking genetic architecture, molecular pathogenesis, and targeted interventions, this review advances a contemporary, mechanistically grounded framework that informs both individualized management and future research directions. Future research should prioritize pathway-specific therapeutics, functional and mechanistic validation of emerging variants, deeper physiologic phenotyping to refine disease modeling, and accelerate translation throughout the continuum of HCM pathophysiology.

Humans↗
PubMed1992

Rat gene mapping using PCR-analyzed microsatellites.

One hundred and seventy-four rat loci which contain short tandem repeat sequences were extracted from the GenBank or EMBL data bases and used to define primers for amplification by the polymerase chain reaction (PCR) of the microsatellite regions, creating PCR-formatted sequence-tagged microsatellite sites (STMSs). One hundred and thirty-four STMSs for 118 loci, including 6 randomly cloned STMSs, were characterized: (i) PCR-analyzed loci were assigned to specific chromosomes using a panel of rat x mouse somatic cell hybrid clones. (ii) Length variation of the STMSs among 8 inbred rat strains could be visualized at 85 of 107 loci examined (79.4%). (iii) A genetic map, integrating biochemical, coat color, mutant and restriction fragment length polymorphism loci, was constructed based on the segregation of 125 polymorphic markers in seven rat backcrosses and in two F2 crosses. Twenty four linkage groups were identified, all of which were assigned to a defined chromosome. As a reflection of the bias for coding sequences in the public data bases, the STMSs described herein are often associated with genes. Hence, the genetic map we report coincides with a gene map. The corresponding map locations of the homologous mouse and human genes are also listed for comparative mapping purposes.

Animals↗
PubMed2025

HCSeeker: A classification tool for human genetic variant hot and cold spots designed for PM1 and benign criteria in the ACMG-AMP guideline.

PURPOSE: The PM1 criterion, which states that a variant is located in a mutational hot spot and/or critical and well-established functional domain without benign variation (such as the active site of an enzyme), is considered moderate evidence for assessing its pathogenicity. Although guidelines from the American College of Medical Genetics and Genomics and the Association for Molecular Pathology are widely adopted, the PM1 criterion remains limited from lacking a reliable database of variant hot spots. Compared with hot spots, cold spots are neglected by the guidelines. To improve variant classification, we suggest including cold spots for supporting benign classifications. Consequently, we have developed the HCSeeker to provide data support for PM1 and the "Benign" criteria. METHODS: HCSeeker uses the Kernel Density Estimation and the Expectation-Maximization algorithm to identify hot- and cold-spot regions. RESULTS: Through HCSeeker, we identified 988 hot spots and 682 cold spots across 889 genes and provided a public database (http://www.genemed.tech/hcseeker/) for researchers and clinicians to query variant locations, facilitating the application of American College of Medical Genetics and Genomics and the Association for Molecular Pathology PM1 or "Benign" criteria. CONCLUSION: We developed the HCSeeker tool, which can effectively identify variant hot and cold spots within genes to enhance the interpretability of gene variants.

Humans↗
PubMed1991

Distribution and complementarity of hydropathy in multisubunit proteins.

A survey of 40 multisubunit proteins and 2 protein-protein complexes was performed to assay quantitatively the distribution of hydropathy among the exterior surface, interior, contact surface, and noncontact exterior surface of the isolated subunits. We suggest a useful way to present this distribution by using a "hydropathy level diagram." Additionally, we have devised a function called "hydropathy complementarity" to quantitate the degree to which interacting surfaces have matching hydropathy distributions. Our survey revealed the following patterns: (1) The difference in hydropathy between the interior and exterior of subunits is a fairly invariant quantity. (2) On average, the hydropathy of the contact surface is higher than that of the exterior surface, but is not greater than that of the protein as a whole. There was variation, however, among the proteins. In some instances, the contact surface was more hydrophilic than the noncontact exterior, and in a few cases the contact surface was as hydrophobic as the protein interior. (3) The average interface manifests significant hydropathy complementarity, signifying that proteins interact by placing hydrophobic centers of one surface against hydrophobic centers of the other surface, and by similarly matching hydrophilic centers. As a measure of recognition and specificity, hydropathy complementarity could be a useful tool for predicting correct docking of interacting proteins. We suggest that high hydropathy complementarity is associated with static inflexible interactions. (4) We have found that some subunits that bind predominantly through hydrophilic forces, such as hydrogen bonds, ionic pairs, and water and metal bridges, are involved in dynamic quaternary organization and allostery.

Animals↗