PubMed Health⌕ Search

SEARCH · PubMed Health

Results for “Federated analysis”

Explore indexed PubMed citations for clinical trials, systematic reviews and public health research. Read source abstracts and follow each citation to its original PubMed record.

Quote a phrase for an exact phrase match. Source license links do not imply unrestricted reuse.

At least 19 recordsLinked to original sources
PubMed2026

Ethical Governance of Open Data Across Biomedical Research, Healthcare, and Public Health: Privacy, Equity, Trust, and Controlled Access.

Open data has become central to biomedical research and public health, but health information is uniquely sensitive and difficult to share responsibly. In this narrative review, open data is considered as a spectrum of health-data sharing arrangements, ranging from public aggregate datasets to controlled-access repositories, federated analysis, and synthetic data. This narrative review synthesizes the scientific and societal rationale for greater openness with the ethical, legal, and governance constraints that shape what "open" can realistically mean in healthcare. We examine how data sharing supports reproducibility, machine learning, and more efficient research, while also enabling public health surveillance and learning health systems. Against these benefits, we analyze privacy and re-identification risks, consent challenges in large-scale secondary use, inequities including data colonialism, and tensions introduced by commercialization. We integrate lessons from prominent case examples spanning pandemic data sharing, genomic initiatives, population registries, patient-led rare disease infrastructures, and regional data spaces. Across these domains, experience suggests that durable progress depends less on unrestricted openness than on calibrated access, privacy-preserving architectures, clear accountability, and sustained public engagement. We conclude by proposing a pragmatic ethical orientation for healthcare open data: treat openness as a spectrum of controlled sharing arrangements, embed equity and reciprocity into governance, and institutionalize trust-building measures that can persist beyond emergencies and political cycles.

Data colonialism↗
PubMed2026

CBIcall: a configuration-driven framework for variant calling in large sequencing cohorts.

MOTIVATION: Variant calling for next-generation sequencing (NGS) data relies on a diverse ecosystem of tools and workflows. Large-scale collaborative studies increasingly adopt federated analysis, where each institution processes sensitive data locally using standardized pipelines. Deploying identical pipelines across multiple centers remains challenging because heterogeneous software environments and computing policies can cause workflow divergence and inconsistent results. RESULTS: We developed CBIcall, a workflow backend-flexible, configuration-driven framework that runs standardized variant-calling pipelines from raw FASTQ files to analysis-ready VCFs. Users define each analysis in a single YAML parameters file, which CBIcall resolves against a controlled workflow registry and resource catalog. The execution driver validates parameters and checks compatibility among pipelines, analysis modes, workflow backends, genome builds, tool versions, and resource bundles. CBIcall supports reproducibility auditing by comparing executions using recorded provenance and output fingerprints. CBIcall dispatches validated workflows natively through Bash, Cromwell, Nextflow and Snakemake backends and provides production-ready pipelines for germline WES, WGS (single-sample or cohort joint genotyping following GATK Best Practices), and mitochondrial DNA analysis. We evaluated analytical performance using public benchmark datasets and validated reproducibility across four computing environments. We further deployed CBIcall in the EU HEREDITARY project, where it processed 1102 samples with both WES and mtDNA pipelines on an institutional HPC system, supporting its suitability for reproducible cohort-scale genomic analyses. AVAILABILITY AND IMPLEMENTATION: CBIcall is open source (GPLv3) and distributed with ready-to-run pipelines; full dependency and installation documentation is available at https://github.com/CNAG-Biomedical-Informatics/cbicall.

Journal Article↗
PubMed2026

The Biobank Rare Variant consortium powers the discovery of rare genetic associations through global collaboration.

Rare coding variants can have large effects on disease risk and provide direct routes from human genetics to disease mechanisms and therapeutic targets, but their discovery is constrained by sample size, particularly for low-prevalence diseases. Here we establish the Biobank Rare Variant Analysis (BRaVa) consortium, a global rare variant association resource that integrates sequencing and linked health-record data from ten biobanks and cohorts comprising over 1.2 million individuals across diverse ancestries. We performed gene-based meta-analyses of rare coding variation across 33 clinical endpoints and 11 quantitative traits. Aggregating evidence across biobanks and ancestries identified 514 gene-trait associations, including 31 not previously reported in prior studies or curated association resources following systematic literature review. Notably, 36.1% of gene-level associations were undetectable in any individual biobank, and 91 emerged only through cross-ancestry meta-analysis, demonstrating that federated integration enables discovery beyond the reach of single cohorts. Similar gains were observed at the variant level, where 25.0% of phenotype-locus associations were detectable only through meta-analysis. Effect size estimates were correlated across ancestries with concordant directions of effect, supporting the generalizability of rare variant associations. The identified signals implicate pathways involved in transcriptional and epigenetic regulation, metabolism, vascular and epithelial biology, and immune function, highlighting rare coding variation as an engine for biological discovery across medical record phenotypes. For example, damaging variation in ANKRD12 implicates inflammatory transcriptional dysregulation in asthma and chronic obstructive pulmonary disease, and ultra-rare predicted loss-of-function variants in NAA15 link protein acetylation processes to type 2 diabetes risk. BRaVa establishes a scalable framework and freely available community resource for rare variant meta-analysis across global biobanks. Public release of gene- and variant-level association summary statistics provides a reference map of rare coding variant associations to support disease gene discovery, biological interpretation, and therapeutic target prioritization as sequencing-linked health-record resources continue to expand.

Journal Article↗
PubMed1979

Quality Assurance in diagnostic radiology: an irreverent view of a sacred cow: annual oration in honor of Albert Soiland, M.D.

The problem of federal regulation of radiologic practice is examined via an in-depth analysis of the Proposed Recommendations for Diagnostic Radiology Facility Quality Assurance Programs as published in the Federal Register by the Commissioner of Food and Drugs. It is shown that the need for such recommendations is not established, that the program proposed by the Commissioner is potentially burdensome for the radiologist, that it does not address the most significant causes of unnecessary patient irradiation, and that the benefits expected to derive from it are, in fact, negligible. This is not to denigrate the value of well-conceived quality assurance efforts, and measures are suggested that might more reasonably be expected to reduce the radiation exposure of the public. The radiologist is urged to 1) conduct his practice in as faultless a manner as possible; and 2) exercise his right to respond to proposals of the federal regulatory agencies.

Cost-Benefit Analysis↗
PubMed2026

Secure bioinformatics: privacy-preserving federated analytics using homomorphic encryption.

MOTIVATION: Large-scale bioinformatics analyses increasingly require collaboration across multiple cohorts and institutions, yet existing workflows often rely on data co-localization, which is slow, difficult to scale, and raises privacy concerns. We present a privacy-preserving federated analytics framework that enables secure statistical analysis across distributed datasets without transferring raw data, by performing all computations on encrypted data via cryptographic methods. RESULTS: We evaluate the framework by validating polygenic risk scores and conducting meta-analyses on two real-world cohorts. The proposed solution achieves over 99.9% accuracy relative to plaintext analyses, while maintaining scalable runtime performance with increasing data size and number of participating sites. These results demonstrate the feasibility of secure federated analytics for practical bioinformatics applications involving sensitive data.

Computational Biology↗
PubMed2026

PLK1/FOXM1-associated tumor-cell state and macrophage-related immune features in endometrial cancer.

BACKGROUND: Polo-like kinase 1 (PLK1) and forkhead box M1 (FOXM1) have been widely studied in various cancers; however, their expression characteristics in endometrial cancer (EC) and their potential association with tumor microenvironment remodeling remain insufficiently characterized. METHODS: This study integrated The Cancer Genome Atlas uterine corpus endometrial carcinoma cohort, Gene Expression Omnibus, pan-cancer transcriptomic data, Human Protein Atlas/Clinical Proteomic Tumor Analysis Consortium, and local immunohistochemistry data to evaluate PLK1 expression and clinicopathological relevance across transcriptomic, proteomic, and histopathological data. Differential expression, survival, gene-set enrichment, transcription-factor enrichment, and immune-infiltration analyses characterized PLK1-associated features. In vitro experiments combined EC cell lines AN3CA and HEC-1A with co-immunoprecipitation, Western blotting, Transwell assays, and a THP-1 conditioned-medium model. Drug-response prediction and structure-based analysis prioritized candidate therapeutic hypotheses. RESULTS: PLK1 was consistently upregulated at both mRNA and protein levels in EC and was associated with higher tumor grade and International Federation of Gynecology and Obstetrics (FIGO) stage. In survival analysis, higher PLK1 expression was associated with poorer overall survival in univariable models but not after adjustment for age, tumor grade, and FIGO stage. Functional enrichment analysis showed that PLK1-associated genes were mainly involved in cell-cycle and mitotic processes. FOXM1 was identified as a potential candidate component of the PLK1-associated transcriptional program and was positively correlated with PLK1 expression and cell-cycle-related features. In vitro experiments supported an interaction between PLK1 and FOXM1 and suggested that FOXM1 Thr600 phosphorylation-related alterations were associated with migration and invasion phenotypes. Furthermore, the PLK1/FOXM1-associated tumor-cell state was linked to macrophage-related immune features and changes in the M2-like marker profile of THP-1-derived macrophage-like cells. Drug response analyses suggested differential predicted sensitivity patterns in PLK1-high tumors, providing candidate therapeutic hypotheses for further validation. CONCLUSION: The PLK1/FOXM1-associated tumor-cell state may represent a distinct molecular feature associated with proliferative activity, invasive phenotypes, and macrophage-related immune features in EC. This study provides preliminary evidence supporting the biological relevance of this molecular feature and highlights potential therapeutic directions for future investigation.

FoxM1↗
PubMed2026

Targeted ORF8-N Sanger Sequencing as a SARS-CoV-2 Surveillance Contingency During Supply Shortages.

BACKGROUND: Global shortages of next-generation sequencing (NGS) reagents threatened SARS-CoV-2 genomic surveillance in low- and middle-income countries during the COVID-19 pandemic. METHODS: During the 2021 NGS reagent shortages, we implemented targeted ORF8-N Sanger sequencing for SARS-CoV-2 variant surveillance in Brazilian public health laboratories. RESULTS: In silico analysis of whole-genome sequencing (WGS)-derived SARS-CoV-2 genomes from the Federal District, Brazil, showed that the ORF8-N target discriminated the major 2021 lineages (Gamma and Delta) and enabled analysis of ˃300 samples despite constrained NGS access. CONCLUSIONS: Targeted ORF8-N Sanger sequencing was a useful temporary contingency during NGS reagent shortages but offered lower phylogenetic resolution than WGS.

SARS-CoV-2↗
PubMed1979

Microbiology subsystem of a total, dedicated laboratory computer system.

The computer system used by the Microbiology Service of the Clinical Pathology Department, Clinical Center, National Institutes of Health is discussed. This microbiology subsystem is a part of a dedicated on-line laboratory computer system used by the entire department. The laboratory computer is connected on-line to a hospital computer which provides patient admission, transfer, and discharge data. Mark sense worksheets and cathode ray tube terminals are used for result entry and correction. Cumulative patient reports are printed. Results for both active and completed accessions can be easily retrieved on cathode ray terminals in the laboratory. All laboratory data are archived on magnetic tape from which a research data base and microfiched laboratory records are generated. The manner in which the system is integrated in the routine operation of the microbiology laboratory is emphasized. In addition, some of the costs, benefits, liabilities, and pitfalls associated with the introduction of the computer in the laboratory are reviewed. Finally, we have presented our concept of some of the future enhancements to our present system and some of the directions in which any future microbiology system might develop.

Computers↗
PubMed2026

Time to subsequent therapy (TTST) as an endpoint in clinical studies: development of standardized documentation of subsequent therapy through systematic literature review, expert interviews, and Delphi survey.

BACKGROUND: The endpoint Time to Subsequent Therapy (TTST) is an intermediate endpoint used in research and regulatory assessments. TTST denotes initiation of subsequent therapy and is a clearly definable, clinically relevant event for healthcare professionals. However, it has not been systematically established to which extent TTST is subjectively meaningful to patients. The objective of this study was to define TTST as a patient-relevant intermediate endpoint. METHODS: The study examined five oncological indications (breast cancer, prostate cancer, melanoma, multiple myeloma, and non-small cell lung cancer) using a systematic literature review, analysis of case report forms used in international randomized controlled trials, review of German Federal Joint Committee (G-BA) documents, semi-structured interviews and a two-stage Delphi survey with healthcare professionals, patients, and relatives. RESULTS: A total of 35 individuals participated in qualitative interviews. Most of them rated TTST as particularly significant. The Delphi Survey included 264 interviewees in round one, and 117 in round two. Patient-relevance of TTST was confirmed by 81% of respondents (95% confidence interval 76%, 85%). Nine treatment scenarios that justify TTST were identified. To capture patient-relevance, prospective collection of reasons for and consequences of therapy change are required. A checklist with standardized response formats plus free-text fields was developed: a comprehensive master checklist for flexible, complete documentation and a short version focused on therapy change-specific items. CONCLUSIONS: TTST is an intermediate endpoint whose systematic documentation of characteristics demonstrating patient-relevance can be standardized in research and clinical practice using the developed checklists.

Humans↗
PubMed1978

Private health insurance plans in 1976: an evaluation.

Private health insures collected a record $39.4 billion in premiums and returned $35 billion in benefits to their subscribers in 1976--a reflection of the steadily rising cost of health care, higher utilization, and the demand for expanded services. The industry experienced a net underwriting loss of $611 million, mainly because claims and operating expenses under insurance-company group business ran 3 percent above premium income. About 77 percent of the civilian population had some form of private hospital insurance, and about the same percentage had some form of surgical insurance. Lesser proportions were covered for other types of care. An estimated 12--13 percent of the population under age 65 had no economic protection against the costs of illness or health-related care--under either a private insurance plan or public program. Although virtually all of the aged were covered by Medicare, some 13--15 million bought private insurance, most of it under plans that covered some or all of the gaps in the Federal program.

Age Factors↗
PubMed2026

Resistance gene mutations and phylogenetic relationships in Candidozyma auris isolates from Russia.

INTRODUCTION: Candidozyma auris is an emerging healthcare-associated fungal pathogen with a high propensity for nosocomial transmission and development of antifungal resistance. This study aimed to identify resistance-associated genomic variants and characterize the phylogenetic structure of clinical C. auris isolates circulating in Russia. METHODS: We analyzed 82 isolates collected between 2017 and 2023 from 18 hospitals in the Northwestern and Central Federal Districts of the Russian Federation. Antifungal susceptibility testing was combined with whole-genome sequencing, targeted FCY2 sequencing, and comparative phylogenomic analysis using publicly available international genomes. RESULTS: All isolates analyzed in this study belonged to clade I and showed a highly conserved profile of elevated azole MICs. The consistent detection of ERG11 (K143R), TAC1B (A640V), and CDR1 (V704L) suggests that reduced azole susceptibility in this population is associated with both target-gene alteration and efflux-mediated mechanisms. All isolates remained susceptible to echinocandins in vitro, and no resistance-conferring mutations were detected in FKS1, consistent with the absence of an echinocandin-resistant phenotype. Decreased susceptibility to flucytosine was mainly associated with the FCY2 (L383*) nonsense mutation, which was confirmed by targeted Sanger sequencing in additional isolates. Phylogenomic reconstruction showed that the Russian isolates represented a restricted segment of global clade I diversity and revealed two major geographically structured lineages corresponding to two large metropolitan areas in European Russia. DISCUSSION: The distribution of closely related isolates across hospitals supports local persistence and inter-hospital dissemination of genetically related strains. These findings provide important insights into the molecular epidemiology, antifungal resistance mechanisms, and transmission dynamics of C. auris in Russia.

Phylogeny↗
PubMed1979

[Cost benefit analysis of the program for the improvement of perinatal mortality and morbidity in Austria (author's transl)].

A retrospective cost benefit analysis is initiated for the program to improve the perinatal mortality and morbidity in Austria which was started by the Federal Ministry for Health and Environment in 1974. Based on the official registry of birth in Austria the expenses for the intensive maternity care and delivery are calculated. From 1974-1978 the perinatal mortality of 2,514 children was prevented. It is assumed that for each prevented case of perinatal mortality two cases of cerebral damage were prevented. The benefit is calculated as alternative cost. The comparison of cost and benefit showed an approximate balance.

Austria↗
PubMed1979

Deciphering deinstitutionalization: complexities in policy and program analysis.

Deinstitutionalization as a public policy promised to be a major departure from previous psychiatric practice. Decrying traditional "medical paradigms" and the custodial "warehousing" of mental patients, policy makers advanced a "bold new approach" for care in the community. Progressive humanitarian reform could go hand in hand with fiscal conservatism. Community Mental Health Centers were to be the heart of a new national effort. But the rhetoric of reform failed to coalesce the activities among competing federal and state interests and systems. Intended beneficiaries may have become unfortunate victims.

Community Mental Health Services↗
PubMed1977

Analysis of automobile exhaust condensates.

1. On the basis of figures for the production of PAH during the Europa drive cycle by 100 passenger cars and those for the consumption of petrol in the Federal Republic of Germany, an annual emission of 1,850 kg benzo[a]pyrene from petrol engine vehicles has been calculated. 2. The carcinogenic effect of benzo[a]pyrene accounts for only 9% of the total activity of exhaust condensates. 3. The amounts of other known carcinogenic PAH, such as benzo[a]anthracene, chrysene, benzo[b]fluoranthene, benzo[j]fluoranthene, indeno[1,2,3-cd]pyrene and dibenzo[a,h]anthracene are shown in Table 2. (table: see text). Assuming that there is no significant promoting or hyper-additive effect, it can be estimated that these six known carcinogenic PAH contribute about 10-15% of the total carcinogenicity. 4. Six unknown PAH were found: cyclopenteno[cd]pyrene (mol wt 226), methylenebenzo[a]pyrene (mol 264), methylenebenzo[e]pyrene (mol wt 264), methylenebenzo[ghi]perylene (mol wt 288), PAH mol wt 300A and PAH mol wt 300B. It is reasonable to assume that these unknown PAH account for the predominant part of the carcinogenic effect. Biological tests with these pure substances are being undertaken by Drs Pott, Pfeiffer and Habs. 5. It has been shown that almost all of the carcinogenic effect of automobile exhaust condensates is due to PAH. To support this claim, the carcinogenic effects of the exhaust condensate should be compared with those of a mixture of the known and unknwon PAH in the same proportions as are found in the exhaust condensate. The gas chromatogram of such a mixture is shown in Figure 6.

Benzopyrenes↗