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298 records · Page 17Linked to original sources
PubMed2025

Adjustment for Genotype Imputation Uncertainty Corrects for Inflated Type I Error in Family-Based Association Testing.

Genotype imputation is a widely-used data augmentation approach that is applied to samples of related and/or unrelated individuals. Association testing may then be carried out on the complete data with commonly-used methods. This approach has typically not accounted for the mix of observed and imputed data, although recent work has noted the potential for introduction of confounding in case-control studies. In the Alzheimer's Disease Sequencing Project family sample we found severe inflation of the test statistics in logistic regression analysis following genotype imputation, even after standard covariate adjustments. Here we dissect sources of this inflation, which is driven by three factors: frequency-dependent bias in imputation-induced allele frequencies, differential measurement error, and differential genotyping rates in cases versus controls that introduces confounding. To address the problem, we propose a statistic, imputation deviance (), which can be easily computed from the observed and imputed genotype probabilities. We show that, as an additional fixed-effect covariate, controls the genome-wide inflation in analysis of this family-based sample, and we speculate that use of imputation deviance may also provide a practical approach to correct for genotype imputation effects in other settings, particularly when a data set is unbalanced and includes related individuals.

Humans↗
PubMed2026

Genomic diversity and resistance determinants of staphylococci from cow and buffalo milk.

BACKGROUND: Staphylococci are important mastitis pathogens in dairy animals and serve as reservoirs of antimicrobial resistance genes (ARGs) having zoonotic potential. Genomic characterization of resistant isolates is essential to understand their diversity, resistance mechanisms, and One Health implications. METHODS AND RESULTS: A total of 363 cow and buffalo milk samples-including 108 from animals with mastitis-were screened, yielding 98 staphylococcal isolates, comprising 20 Staphylococcus aureus and 78 coagulase-negative staphylococci (CoNS). Antimicrobial susceptibility testing revealed resistance to cefoxitin (CoNS: 21.7%; S. aureus: 10%), tetracycline (CoNS: 19.2%; S. aureus: 10%), erythromycin (CoNS:16.7%; S. aureus: 10%), gentamicin (CoNS: 10.2%; S. aureus: 10%) and fluoroquinolone (CoNS: 10.2%), while the majority were sensitive to chloramphenicol, cotrimoxazole (~ 95%, each), linezolid (~ 97%), and vancomycin (100%). Nineteen isolates, including two S. aureus, were cefoxitin-resistant, and eight carried the mecA gene. Whole genome sequencing of these eight isolates revealed genome sizes ranging from 2.27 to 2.78 MB, with the methicillin resistant S. aureus (MRSA, ERSST98) isolate possessing the largest genome and the highest rRNA copy number. Comparative genomic analysis revealed various SCCmec types along with an extensive array of resistance determinants, encompassing aminoglycosides, macrolides, tetracyclines, efflux systems, and heavy metals, underscoring the multifaceted resistance repertoire of these strains. Virulence profiling of ERSST98 demonstrated a broad arsenal of adhesins, toxins, and biofilm‑associated genes, highlighting its pathogenic capacity. Mobile genetic elements with diverse plasmid replicons and insertion sequence families further contributed to genomic plasticity. CONCLUSIONS: Collectively, this study underscores the genomic diversity of methicillin-resistant staphylococci from dairy animals with extensive resistance determinants and highlights their zoonotic relevance within One Health framework.

Animals↗
PubMed2025

Enzymatic depletion of transposable elements in sequencing libraries and its application for genotyping multiplexed CRISPR-edited plants.

Whole-genome sequencing has become a common strategy to genotype individual plants of interest. Although a limited number of genomic regions usually need to be surveyed with this strategy, excess sequencing information is almost always generated at an appreciable financial cost. Repetitive sequences (e.g., transposons), which can account for more than 80% of the genome of some plants, are often not required in these genotyping projects. Therefore, strategies that enrich DNA coding for the protein-coding genes prior to sequencing can lower the cost to obtain sufficient sequence information. Here, we present the development and application of methylation-sensitive reduced representation sequencing (MsRR-Seq), which relies on the cytosine methylation-sensitive restriction enzyme MspJI to deplete constitutive heterochromatic DNA before library construction. By applying MsRR-Seq to citrus and maize, we show that protein-coding genes can be enriched in sequencing datasets. We then describe the application of MsRR-Seq to facilitate the identification of complex mutants from populations of citrus plants resulting from multiplex CRISPR/Cas9 editing of four genes. Overall, this work demonstrates an easy and low-cost method to enrich non-repetitive DNA in high-throughput sequencing libraries, an approach that is especially useful for large plant genomes with an excessively high proportion of methylated repetitive sequences.

DNA Transposable Elements↗
PubMed2023

Exploiting Real-Time Genomic Surveillance Data To Assess 4CMenB Meningococcal Vaccine Performance in Scotland, 2015 to 2022.

The United Kingdom implemented the first national infant immunization schedule for the meningococcal vaccine 4CMenB (Bexsero) in September 2015, targeting serogroup B invasive meningococcal disease (IMD). Bexsero contains four variable subcapsular proteins, and postimplementation IMD surveillance was necessary, as nonhomologous protein variants can evade Bexsero-elicited protection. We investigated postimplementation IMD cases reported in Scotland from 1 September 2015 to 30 June 2022. Patient demographics and vaccination status were combined with genotypic data from the causative meningococci, which were used to assess vaccine coverage with the meningococcal deduced vaccine antigen reactivity (MenDeVAR) index. Eighty-two serogroup B IMD cases occurred in children >5 years of age, 48 (58.5%) of which were in unvaccinated children and 34 (41%) of which were in children who had received ≥1 Bexsero dose. Fifteen of the 34 vaccinated children had received one dose, 17 had received two doses, and two had received three doses. For 39 cases, meningococcal sequence data were available, enabling MenDeVAR index deductions of vaccine-preventable (M-VP) and non-vaccine-preventable (M-NVP) meningococci. Notably, none of the 19 of the children immunized ≥2 times had IMD caused by M-VP meningococci, with 2 cases of NVP meningococci, and no deduction possible for 17. Among the 15 children partially vaccinated according to schedule (1 dose), 7 were infected by M-VP meningococci and 2 with M-NVP meningococci, with 6 for which deductions were not possible. Of the unvaccinated children with IMD, 40/48 were ineligible for vaccination and 20/48 had IMD caused by M-VP meningococci, with deductions not being possible for 14 meningococci. IMPORTANCE This study demonstrates the value of postimplementation genomic surveillance of vaccine-preventable pathogens in providing information on real-world vaccine performance. The data are consistent with 2 and 3 doses of Bexsero, delivered according to schedule, providing good protection against invasive disease caused by meningococci deduced from genomic data to be vaccine preventable. Single doses provide poorer protection to infants. In practical terms, these data can provide public health reassurance when vaccinated individuals develop IMD with non-vaccine-preventable variants. They further indicate that additional testing is needed on variants for which no immunological data exist to improve estimates of protection, although these data suggest that the uncharacterized variants are unlikely to be covered by Bexsero. Finally, the confirmation that incomplete or absent doses in infancy lead to reduced protection supports public health and general practitioners in promoting vaccination according to schedule.

Infant↗
PubMed2026

Twenty-Three Years of Surveillance in Chinese Avian Pasteurella multocida Reveals Declining Antimicrobial Resistance but Increasing Therapeutic Challenges.

Pasteurella multocida (Pm) is an important veterinary and zoonotic pathogen that causes significant economic losses in poultry production. However, long-term surveillance studies integrating antimicrobial resistance (AMR), biocide tolerance, and genomic epidemiology of Pm remain scarce. In this study, we investigated the antimicrobial susceptibility, biocide tolerance, and the phenotypic associations of 136 avian Pm isolates collected from six provinces in China between 2002 and 2024. Whole-genome sequencing was performed to characterize population structure, identify antimicrobial resistance genes (ARGs), and assess genotype-phenotype concordance. The A:L1:ST129 lineage remained the predominant clone throughout the 23-year surveillance period, with a high prevalence of AMR-associated traits observed within this lineage. Although resistance to several commonly used antimicrobial classes declined significantly after 2021, florfenicol resistance continued to increase, suggesting an emerging challenge for the clinical management of pasteurellosis. While the isolates generally exhibited low tolerance to the four representative biocides tested, phenotypic correlations were observed between AMR profiles and biocide tolerance patterns. Furthermore, substantial phenotype-genotype discordance was observed, indicating that the presence of ARGs alone may not be sufficient to accurately predict antimicrobial susceptibility. Overall, this study provides a longitudinal assessment of long-term AMR trends, biocide tolerance, and genomic epidemiology of avian Pm in China, offering epidemiological evidence for monitoring AMR trends and improving antimicrobial management strategies in poultry production.

Animals↗
PubMed2026

Whole genome analysis of a multidrug-resistant blaNDM-5-carrying Escherichia coli Sequence Type (ST) 167 strain isolated from seafood in Mumbai, India.

BACKGROUND: E. coli ST167 is an emerging extraintestinal pathogenic Escherichia coli (ExPEC) clone. This study reports the whole genome sequence analysis of a multidrug-resistant, blaNDM-5 harboring E. coli ST167 (EC121) isolated from seafood. The antibiotic susceptibility pattern was determined using the standard disc diffusion method. Genomic DNA was extracted, purified, and sequenced using the Illumina platform. The whole genome sequence was analyzed to determine the genome characteristics, including sequence type, serotype, phylogroup, antibiotic resistance genes, virulence attributes, and phylogenetic analysis. RESULTS: Phenotypically, this isolate was resistant to 26 of the 33 antibiotics tested, which correlated well with in-silico prediction. Multilocus sequence typing (MLST) analysis revealed that this strain belonged to sequence type 167, serotype O101:H9, and phylogroup A and harbored different virulence genes, suggesting it was a potential human pathogen. Many acquired antibiotic resistance genes were detected, including blaNDM-5, blaCMY-42, blaOXA-1, blaTEM-116, catA1, sul2, and tet(B). Point mutations in gyrA and parC responsible for quinolone resistance were also detected. CONCLUSION: The combinations of virulence and antibiotic resistance genes in this strain highlight the significant risk associated with emerging E. coli clonal types contaminating the seafood supply chain. Fecal contamination of seafood can contribute to the community dissemination of multidrug-resistant E. coli, necessitating effective monitoring measures.

Seafood↗
PubMed2026

Personalized medicine strategy for MPNSTs: using precision oncology on PDOX models to inform tumor boards.

BACKGROUND: Malignant peripheral nerve sheath tumors (MPNSTs) are a heterogeneous group of aggressive soft tissue sarcomas with poor prognosis. Currently there is a lack of effective treatments for MPNSTs. Here, we propose a personalized medicine approach that integrates a precision oncology strategy guided by MPNST genomic analysis, with a functional validation of treatment response in an orthotopic xenograft model (PDOX) derived from the same MPNST. METHODS: Comprehensive whole genome sequencing analysis was performed in primary MPNSTs, relapses and (in one case) metastases, following disease progression in two independent individuals. Matched MPNST PDOX models were generated by orthotopically implanting tumor fragments near the sciatic nerve of immunodeficient mice. Candidate targeted combination therapies were prioritized based on genomic alterations and tested in vivo in the PDOX models. RESULTS: The feasibility of the developed strategy is illustrated for two MPNST patients, one Neurofibromatosis type 1 (NF1) individual that developed two independent MPNSTs and another sporadic MPNST case with multiple metastatic relapses. Genomic analysis revealed a remarkable degree of genomic stability across primary MPNSTs and their successive relapses in each patient, and even metastases in one individual. While based on a small number of cases requiring additional analyses, this finding aligns with previous evidence suggesting a fair genomic conservation throughout tumor evolution. This stability supports the identification of consistent therapeutic vulnerabilities throughout disease progression. Among the therapies tested, co-treatment of MEK inhibitor (MEKi) plus bromodomain inhibitor (BETi) elicited the highest antitumor activity, resulting in approximately 60% tumor volume reduction in the sporadic MPNST PDX model, whose patient has been receiving this therapy for eight months with sustained remission. CONCLUSIONS: This study demonstrates the feasibility and clinical utility of integrating genomic-driven precision oncology with PDOX-based functional testing for MPNSTs. This strategy may support molecular tumor boards (MTBs) in their treatment decisions. The observed genomic stability supports the use of longitudinal tumor profiling to guide treatment, and the success of MEKi+BETi highlights its potential as a combination therapy for MPNSTs.

Precision Medicine↗
PubMed2025

Armenian Hamsters (Nothocricetulus migratorius): A New Host Susceptible to Corynebacterium bovis Infection and Disease.

Corynebacterium bovis causes skin disease in immunocompromised mice and possibly rats. In 2022, scaly skin and mortality were observed in 7- to 11-d-old neonates (n = 8) from a primiparous Armenian (Nothocricetulus migratorius) hamster breeding pair in a newly established colony. C. bovis was detected by culture and PCR, and affected animals had moderate to severe acanthotic, hyperkeratotic lesions with intralesional C. bovis confirmed by in situ hybridization. Intrafollicular Demodex cricetuli mites, an ectoparasite found in all laboratory-maintained Armenian hamsters, were also identified in affected animals. To elucidate the role of D. cricetuli on C. bovis-associated disease and maintain adult hamsters without the need for sustained mite treatment, a D. cricetuli-free colony was generated by treating breeding pairs and their 1- to 3-d-old neonates with topical fluralaner (35 mg/kg), and a prospective study was undertaken to compare C. bovis-associated pup mortality in D. cricetuli-free and D. cricetuli-infested hamsters. During the ensuing 22 mo, 4 of 96 (4.2%) litters born exhibited C. bovis-associated disease and/or mortality. The litters were born to 4 different nulliparous breeding pairs (n = 47, 9%). Of the 4 affected litters, 2 were D. cricetuli-infested while 2 were D. cricetuli-free. C. bovis was routinely cultured with a variable bacterial burden that had no association with mortality or skin lesion severity from all hamsters, independent of their D. cricetuli status. The severity of histologic pathology appeared to correlate with clinical presentation and mortality in neonates. Whole genome sequencing was performed on 4 hamster C. bovis isolates, which revealed a close genetic association among the isolates as well as with previously characterized mouse and rat C. bovis isolates.

DSS, deep skin scrape↗
PubMed2025

Characteristics of Tuberculosis Tests Performed during Postimport Quarantine of Nonhuman Primates, United States, 2021 to 2024.

Screening nonhuman primates (NHPs) for tuberculosis (TB) is important to protect the health of NHP colonies and people who interact with them. Screening is especially important for imported NHPs from countries where TB is prevalent and biosecurity practices may be lax. There are a variety of testing methods available for TB screening and diagnosis in NHPs; all have limitations, and their performance in different settings is incompletely characterized. The US Centers for Disease Control and Prevention (CDC) collects TB testing results as part of its regulatory oversight of NHP importation. We collated the results of tuberculin skin tests (TSTs), interferon-γ release assays (IGRAs), multiplexed fluorometric immunoassay (MFIA), Mycobacterium tuberculosis complex PCR, staining for acid-fast bacilli (AFB), and culture of bacteria from tissues for imported NHPs in CDC-mandated quarantine during fiscal years 2021 to 2024. We used these data to assess test performance and intertest agreement for the different tests used. Among 107 imported NHPs tested, TST and IGRA were the most common antemortem tests performed, but they agreed poorly with each other and with culture. AFB staining and PCR exhibited moderate agreement and high positive predictive values using culture as the gold standard. The most commonly affected tissues were lungs and tracheobronchial lymph nodes, regardless of the Mycobacterium sp. identified. Further research is needed to identify and validate additional methods for TB testing in NHPs, particularly for antemortem screening. Tissue acid-fast staining and PCR exhibited high positive predictive values and could be useful to inform policies and clinical decisions about colony management and occupational health while awaiting culture results.

AFB, acid-fast bacilli↗