OBJECTIVE: Treponema pallidum subsp. pallidum (TPA) is the causative agent of syphilis. Genetic analyses of TPA reference strains and human clinical isolates have revealed two genetically distinct groups of syphilis-causing treponemes, called Nichols-like and SS14-like groups. So far, no genetic intermediates, i.e. strains containing a mixed pattern of Nichols-like and SS14-like genomic sequences, have been identified. Recently, Sun et al. (Oncotarget 2016. https://doi.org/10.18632/oncotarget.10154 ) described a new "phylogenetic group" (called Lineage 2) among Chinese TPA strains. This lineage exhibited a "mosaic genomic structure" of Nichols-like and SS14-like lineages. RESULTS: We reanalyzed the primary sequencing data (Project Number PRJNA305961) from the Sun et al. publication with respect to the molecular basis of Lineage 2. While Sun et al. based the analysis on several selected genomic single nucleotide variants (SNVs) and a subset of highly variable but phylogenetically poorly informative genes, which may confound the phylogenetic analysis, our reanalysis primarily focused on a complete set of whole genomic SNVs. Based on our reanalysis, only two separate TPA clusters were identified: one consisted of Nichols-like TPA strains, the other was formed by the SS14-like TPA strains, including all Chinese strains.

• MeSH
• fylogeneze * MeSH
• genom bakteriální genetika   MeSH
• jednonukleotidový polymorfismus genetika   MeSH
• lidé MeSH
• sekvenční analýza DNA * MeSH
• Treponema pallidum genetika   MeSH
• Check Tag
• lidé MeSH
• Publikační typ
• časopisecké články MeSH
• Geografické názvy
• Čína MeSH

BACKGROUND AND OBJECTIVES: Tandem repeats (TRs) are DNA regions of tandemly repeated nucleotide motifs. Their pathogenic expansions cause various, mainly neurologic, diseases. METHODS: We analyzed 65 TR loci using ExpansionHunter in individuals who underwent short-read whole-exome sequencing (WES) or whole-genome sequencing (WGS) for the diagnosis of a rare neurologic condition. RESULTS: Of 1,106 proband samples (1,053 WES, 53 WGS), we detected 232 TR expansions in the intermediate or pathogenic range in 18.7% (207/1,106). However, 51 TR expansions were revised as false positives (FPs) and 83 as nondisease-causing. Of the 98 disease-causing TR expansions, 5 were classified as causal hemizygous or heterozygous TR expansions associated with X-linked recessive (XLR) or autosomal dominant (AD) neurologic disorders in 5 probands (0.5%). The low incidence is due to the fact that individuals with typical clinical symptoms (spinocerebellar ataxia) were tested for TR expansion by conventional laboratory methods. Only 1 proband with clinical suspicion of spinal and bulbar muscular atrophy was fully explained by TR expansion in the AR gene, and in 4 others, we hypothesize the possible involvement of 2 different neurologic diseases. Another 82 causal hemizygous or heterozygous TR expansions associated with XLR or AD non-neurologic diseases (secondary findings) were identified in 81 probands (7.3%), of which 70 expansions in TCF4 were associated with Fuchs endothelial corneal dystrophy, a common eye disease in older patients. Finally, we detected 11 heterozygous TR expansions for XLR and autosomal recessive (AR) diseases in 11 probands who had no clinical symptoms of the associated TR disease. DISCUSSION: The unexpectedly high detection rate (18.7%) of TR expansions necessitates the filtration of FPs and nondisease-causing expansions, thereby underscoring the necessity of visual inspection of ExpansionHunter results. The study demonstrated that both WES and WGS diagnostics can benefit from TR expansion analysis. The secondary findings indicate that the previously published pathogenic ranges of TR expansions in RUNX2 and ZIC3 warrant further investigation.

• Publikační typ
• časopisecké články MeSH

• MeSH
• Bayesova věta MeSH
• kardiopulmonální resuscitace * MeSH
• lidé MeSH
• srdeční zástava * terapie   MeSH
• Check Tag
• lidé MeSH
• Publikační typ
• časopisecké články MeSH
• randomizované kontrolované studie MeSH

Epidemiological analyses of health risks associated with non-optimal temperature are traditionally based on ground observations from weather stations that offer limited spatial and temporal coverage. Climate reanalysis represents an alternative option that provide complete spatio-temporal exposure coverage, and yet are to be systematically explored for their suitability in assessing temperature-related health risks at a global scale. Here we provide the first comprehensive analysis over multiple regions to assess the suitability of the most recent generation of reanalysis datasets for health impact assessments and evaluate their comparative performance against traditional station-based data. Our findings show that reanalysis temperature from the last ERA5 products generally compare well to station observations, with similar non-optimal temperature-related risk estimates. However, the analysis offers some indication of lower performance in tropical regions, with a likely underestimation of heat-related excess mortality. Reanalysis data represent a valid alternative source of exposure variables in epidemiological analyses of temperature-related risk.

• MeSH
• počasí * MeSH
• podnebí * MeSH
• teplota MeSH
• vysoká teplota MeSH
• Publikační typ
• časopisecké články MeSH
• práce podpořená grantem MeSH

Genetic diagnosis of rare diseases requires accurate identification and interpretation of genomic variants. Clinical and molecular scientists from 37 expert centers across Europe created the Solve-Rare Diseases Consortium (Solve-RD) resource, encompassing clinical, pedigree and genomic rare-disease data (94.5% exomes, 5.5% genomes), and performed systematic reanalysis for 6,447 individuals (3,592 male, 2,855 female) with previously undiagnosed rare diseases from 6,004 families. We established a collaborative, two-level expert review infrastructure that allowed a genetic diagnosis in 506 (8.4%) families. Of 552 disease-causing variants identified, 464 (84.1%) were single-nucleotide variants or short insertions/deletions. These variants were either located in recently published novel disease genes (n = 67), recently reclassified in ClinVar (n = 187) or reclassified by consensus expert decision within Solve-RD (n = 210). Bespoke bioinformatics analyses identified the remaining 15.9% of causative variants (n = 88). Ad hoc expert review, parallel to the systematic reanalysis, diagnosed 249 (4.1%) additional families for an overall diagnostic yield of 12.6%. The infrastructure and collaborative networks set up by Solve-RD can serve as a blueprint for future further scalable international efforts. The resource is open to the global rare-disease community, allowing phenotype, variant and gene queries, as well as genome-wide discoveries.

• MeSH
• exom genetika   MeSH
• genetické databáze MeSH
• genom lidský genetika   MeSH
• genomika * metody   MeSH
• lidé MeSH
• rodokmen MeSH
• výpočetní biologie metody   MeSH
• vzácné nemoci * genetika   diagnóza   MeSH
• Check Tag
• lidé MeSH
• mužské pohlaví MeSH
• ženské pohlaví MeSH
• Publikační typ
• časopisecké články MeSH
• Geografické názvy
• Evropa MeSH

• MeSH
• charakter MeSH
• dvojčata monozygotní psychologie   MeSH
• dvojčata psychologie   MeSH
• ošetřovatelská péče MeSH

• Konspekt
• Psychologie
• NLK Obory
• psychologie, klinická psychologie
• psychiatrie
• NLK Publikační typ
• analýzy

PURPOSE: Within the Solve-RD project (https://solve-rd.eu/), the European Reference Network for Intellectual disability, TeleHealth, Autism and Congenital Anomalies aimed to investigate whether a reanalysis of exomes from unsolved cases based on ClinVar annotations could establish additional diagnoses. We present the results of the "ClinVar low-hanging fruit" reanalysis, reasons for the failure of previous analyses, and lessons learned. METHODS: Data from the first 3576 exomes (1522 probands and 2054 relatives) collected from European Reference Network for Intellectual disability, TeleHealth, Autism and Congenital Anomalies was reanalyzed by the Solve-RD consortium by evaluating for the presence of single-nucleotide variant, and small insertions and deletions already reported as (likely) pathogenic in ClinVar. Variants were filtered according to frequency, genotype, and mode of inheritance and reinterpreted. RESULTS: We identified causal variants in 59 cases (3.9%), 50 of them also raised by other approaches and 9 leading to new diagnoses, highlighting interpretation challenges: variants in genes not known to be involved in human disease at the time of the first analysis, misleading genotypes, or variants undetected by local pipelines (variants in off-target regions, low quality filters, low allelic balance, or high frequency). CONCLUSION: The "ClinVar low-hanging fruit" analysis represents an effective, fast, and easy approach to recover causal variants from exome sequencing data, herewith contributing to the reduction of the diagnostic deadlock.

• MeSH
• alely MeSH
• genotyp MeSH
• lidé MeSH
• mentální retardace * diagnóza   genetika   MeSH
• sekvenování exomu MeSH
• Check Tag
• lidé MeSH
• Publikační typ
• časopisecké články MeSH
• práce podpořená grantem MeSH

• Publikační typ
• časopisecké články MeSH

• Publikační typ
• tisková chyba MeSH

Small erythrocytes might be beneficial for blood rheology, as they contribute less to blood viscosity than large erythrocytes. We predicted that rheological disadvantages of larger erythrocytes could be alleviated by relatively smaller nucleus size in larger cells allowing higher flexibility and by more elongated shape. Across squamate reptiles, we found that species with larger erythrocytes tend to have smaller ratio of nucleus size to cell size (N : C ratio), but that larger erythrocytes tend to be rounder, not more elongated. Nevertheless, we document that in fact nucleus area changes with erythrocyte area more or less linearly, which is also true for the relationship between cell length and cell width. These linear relationships suggest that nucleus size and cell size, and cell width and cell length, might be constrained to largely proportional mutual changes. The shifts in widely used N : C ratio and elongation ratio (cell length/cell width) with cell size might be misleading, as they do not reflect adaptive or maladaptive changes of erythrocytes, but rather mathematically trivial scaling of the ratios of two variables with a linear relationship with non-zero intercepts. We warn that ratio scaling without analyses of underlying patterns of evolutionary changes can lead to misinterpretation of evolutionary processes.

• Publikační typ
• časopisecké články MeSH