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PubMed2026

Longitudinal Clinical, Physiological, and Molecular Profiling of Female Patients With Metastatic Cancer: Protocol and Feasibility of a Multicenter High-Definition Oncology Study.

PURPOSE: A substantial proportion of patients receiving genomically matched therapies do not achieve clinical benefit, underscoring the influence of nongenetic factors on cancer outcomes. High-Definition Oncology (HDO) proposes integrating longitudinal, multimodal patient data-spanning clinical, molecular, physiological, and behavioral domains-to enable truly individualized cancer care. This manuscript describes the HDO study design, framework, and feasibility results in women with metastatic cancer. METHODS: We initiated a prospective, multicenter observational study (HDO study; ClinicalTrials.gov identifier: NCT06590506) enrolling 300 female patients with newly diagnosed metastatic breast, lung, or colorectal cancer. Here, we report the study design, standardized workflows, prespecified feasibility criteria, and early internal pilot results. Eleven data modalities are collected longitudinally, including tumor and germline genomics, germline epigenomics, gut microbiome, blood and stool metabolomics and proteomics, exposome characterization, wearable-derived physiological monitoring, digital footprint assessment, medical imaging, and patient-reported outcomes. Standardized workflows govern clinical procedures, data acquisition, biospecimen processing, and quality control across all participating sites. RESULTS: Feasibility was evaluated in the first 30 participants (10% of planned accrual). Patients completed 100% of scheduled clinical visits, 97.4% of planned plasma collections, 80.7% of stool samples, and all tumor biopsies. Wearable devices captured activity, heart rate, sleep, and blood oxygen saturation data during 95.0%, 84.2%, 90.6%, and 70.7% of total patient-days, respectively. Biospecimens met predefined quality control metrics across all molecular modalities. Engagement with mobile applications for pain and emotion reporting exceeded 80%. CONCLUSION: The HDO study demonstrates the feasibility of comprehensive, longitudinal, multimodal data collection in women with metastatic cancer. This internal pilot establishes an integrated framework for future analyses aimed at characterizing disease trajectories, defining molecular and physiological determinants of outcomes, and developing patient-specific computational models.

Humans↗
PubMed2026

Exploring the Melanoma and Pancreatic Cancer Phenotype of a Potential CDKN2A Founder Variant, I49T (c.146T>C; p.Ile49Thr), in Individuals of Predominantly Mexican Ancestry.

PURPOSE: Pathogenic/likely pathogenic variants (P/LPVs) in the CDKN2A gene cause an increased risk of melanoma (MEL) and pancreatic cancer (PANC). The CDKN2A variant I49T (c.146T>C), reported to be recurrent in Hispanics, has conflicting pathogenicity classifications at laboratories, affecting clinical care. Multiple genetics clinics collaborated to explore cancers associated with I49T. METHODS: Institutional clinical databases were queried for the CDKN2A variants, I49T, known P/LPVs, and c.-2G>A (a benign variant [BV]), and history of PANC and MEL was abstracted. A combination of statistical tests was used to investigate cancer history associations. RESULTS: Data on 203 individuals, with qualifying CDKN2A variants detected on multigene testing between 2012 and 2023, were analyzed (I49T, n = 101; known CDKN2A P/LPVs, n = 57; BV, n = 45). Those with I49T were 91% less likely to have MEL than known CDKN2A P/LPVs (odd ratio [OR] = 0.089 [95% CI, 0.031 to 0.025]; P < .001) and were also less likely to have PANC (OR = 0.45 [95% CI, 0.14 to 1.41]; P = .17). However, mean age at PANC diagnosis for I49T was 56.0 years, significantly younger than known CDKN2A P/LPVs (&#x3bc; = 71.0 years; P = .026). CONCLUSION: In the largest I49T study to date to our knowledge, MEL was significantly less frequent compared with known CDKN2A P/LPVs. Although a nonsignificant trend was observed for less PANC in I49T than known P/LPVs, individuals with I49T presented with PANC at a significantly younger age than those with known CDKN2A P/LPVs. The presence of I49T in Hispanics of mostly Mexican ancestry supports that it is a founder variant, relevant to understanding cancer risk in a large proportion of Hispanics in the United States.

Humans↗
PubMed2026

Clinicopathologic Features, Treatment Patterns, and Outcomes of Microsatellite Instability-High Gastric and Gastroesophageal Junction Adenocarcinoma: A Single-Institution Retrospective Analysis.

PURPOSE: Microsatellite instability-high (MSI-H) and deficient mismatch repair (dMMR) gastric or gastroesophageal junction (GEJ) adenocarcinomas are biologically distinct tumors with established sensitivity to immune checkpoint inhibitors (ICIs). However, real-world treatment patterns, response heterogeneity, and predictors of durable benefit remain poorly defined. METHODS: We retrospectively analyzed patients with biopsy-confirmed MSI-H/dMMR gastric/GEJ adenocarcinoma treated at a single center. Clinicopathologic, genomic, treatment, and outcome data were collected. Molecular profiling included ARID1A, RNF43, TP53, PIK3CA, KRAS, TGFBR2, and human epidermal growth factor 2 (HER2). ICIs-treated patients were classified as achieving clinical benefit (complete response, partial response, or durable stable disease &#x2265;16 weeks) or no clinical benefit using iRECIST v1.1 and clinical assessment. Overall survival (OS) was estimated by using the Kaplan-Meier method. RESULTS: Thirty-four patients were identified (median age, 66 years; 53% male), including 21 with stage IV disease. Tumors were predominantly poorly differentiated (65%) and HER2-negative (94%), and 18% of patients had Lynch syndrome. Among 22 ICI-treated patients, 55% achieved clinical benefit, which was strongly associated with prolonged OS (P < .01). Most responses occurred at the first radiographic assessment (approximately 12 weeks). Elevated tumor mutational burden (TMB; &#x2265;20 mutations/Mb) was present in 56% of patients but was not associated with clinical benefit (P = .40), and no individual genomic alteration significantly correlated with treatment outcome. Exploratory analyses suggested longer OS among patients with liver versus peritoneal metastases. Treatment was well tolerated, with predominantly low-grade immune-related adverse events. Baseline Eastern Cooperative Oncology Group performance status (0-1 v &#x2265; 2) was associated with clinical benefit (P = .049). CONCLUSION: Approximately half of the patients with MSI-H/dMMR gastric/GEJ adenocarcinoma cancers derived durable clinical benefit from ICIs, and treatment response was strongly associated with survival. Conventional genomic features, including TMB, did not predict clinical benefit, highlighting the need for additional biomarkers.

Humans↗
PubMed2026

Characterization of the oral microbiota and antimicrobial resistance genes in shelter dogs in Japan.

Companion animals can serve as reservoirs of antimicrobial resistance genes and zoonotic microorganisms, yet information on shelter dogs remains limited. This study characterized the oral microbiota and screened for antimicrobial resistance genes in shelter dogs in Japan. Oral swabs were collected from 81 dogs, microbial genomic DNA was extracted, bacterial communities were profiled by 16S rRNA gene amplicon sequencing, and antimicrobial resistance genes were screened by PCR. We detected genes conferring resistance to several antimicrobial classes, including &#x3b2;-lactams, tetracyclines, macrolide-lincosamide-streptogramin B, phenicols, and sulfonamides. cfxA was detected in all 81 samples, followed by sul1 (66/81), tet(M) and sul2 (65/81), floR (39/81), mecA (17/81), and erm(B) (15/81). We identified potentially pathogenic genera including Capnocytophaga, Pasteurella, Fusobacterium, Campylobacter and Corynebacterium. Microbiome analysis revealed that at the phylum level, Pseudomonadota and Bacteroidota were the most dominant, while Porphyromonas, Frederiksenia and Moraxella were the most prevalent genera. Our findings highlight that (i) the oral microbiota of shelter dogs broadly resembles that reported in companion dogs and (ii) shelter dogs represent an overlooked reservoir of clinically relevant antimicrobial resistance genes and potentially zoonotic bacteria. Therefore, it is necessary to include shelter animals in antimicrobial resistance surveillance programs to capture any potential gaps in the antimicrobial resistance prevalence in companion animals and prevent dissemination of resistant bacteria to humans following adoption of shelter dogs and cats.

antimicrobial resistance gene↗
PubMed2026

PanDelos-plus: A parallel algorithm for computing sequence homology in pangenomic analysis.

The identification of homologous gene families across multiple genomes is a central task in bacterial pangenomics traditionally requiring computationally demanding all-against-all comparisons. PanDelos addresses this challenge with an alignment-free and parameter-free approach based on k-mer profiles, combining high speed, ease of use, and competitive accuracy with state-of-the-art methods. However, the increasing availability of genomic data requires tools that can scale efficiently to larger datasets. To address this need, we present PanDelos-plus, a fully parallel, gene-centric redesign of PanDelos. The algorithm parallelizes the most computationally intensive phases (Best Hit detection and Bidirectional Best Hit extraction) through data decomposition and a thread pool strategy, while employing lightweight data structures to reduce memory usage. Benchmarks on synthetic datasets show that PanDelos-plus achieves up to 14x faster execution and reduces memory usage by up to 96%, while maintaining consistency with the original algorithm. These improvements allow the PanDelos methodology to be applied to population-scale comparative genomics, thus enabling more precise characterisation of pangenome structure and dynamics. PanDelos-plus is available at github.com/synbionics/PanDelos-plus.

Journal Article↗
PubMed2026

Beyond years of schooling: Genetic associations across educational milestones in two Norwegian cohorts.

Although educational attainment is heritable, years-of-education (EduYears) measures are not designed to show how genetic associations vary across discrete educational milestones. In the Norwegian Mother, Father and Child Cohort Study (MoBa; N&#x2009;=&#x2009;120,527) and the Norwegian Twin Registry (N&#x2009;=&#x2009;8,910), we combined genome-wide association studies (GWAS), polygenic indices (PGIs), and twin models to characterize genetic associations with high-school completion and bachelor's, master's, and doctoral attainment. In transition-specific analyses conditional on prior attainment, observed-scale common-variant heritability (h2SNP) and PGI discrimination followed an inverse-U pattern, peaking for progression from high-school completion to attainment of at least a bachelor's degree (HS&#x2009;&#x2192;&#x2009;BSc&#x2009;+&#x2009;; h2SNP&#x2009;&#x2248;&#x2009;0.14; R2Tjur&#x2009;&#x2248;&#x2009;0.05) and declining at postgraduate transitions. Genetic correlations (rg) with large-scale GWAS of EduYears (EA4) and intelligence were high at earlier transitions but lower at later ones (for EA4, rg&#x2009;&#x2248;&#x2009;0.92 at HS&#x2009;&#x2192;&#x2009;BSc+ and &#x2248; 0.38 at MSc&#x2009;&#x2192;&#x2009;PhD). In cumulative analyses of attained status in the full cohort, the point-estimate gap between twin- and SNP-based heritability narrowed from &#x2248; 0.38 at high-school completion to &#x2248; 0.11 at PhD, while genetic overlap was lower for distant than adjacent milestones (rg&#x2009;&#x2248;&#x2009;0.71 for high-school completion versus PhD and &#x2248; 0.92 for adjacent milestones). Sensitivity analyses using an alternative intelligence GWAS and additional PGIs showed similar transition-specific trajectories. At the doctoral transition, estimates were obtained among individuals who had attained at least a master's degree, so attenuation there must be interpreted in light of selection and range restriction. Because EduYears converts distinct credentials and progression steps into a single numerical scale, estimates expressed per additional year should not be interpreted as though one year has the same meaning across the educational sequence. Milestone-preserving analyses make that hidden structure visible and sharpen the interpretation of education GWAS and PGIs.

Journal Article↗
PubMed2026

A trainable language model with potential to modulate translation rates in non-model organisms by generating upstream untranslated region sequence libraries.

Tuning protein expression in non-model organisms is often constrained by the lack of validated genetic parts and predictive design tools. Translational tuning through the modulation of upstream untranslated regions (5'-UTRs) offers a potentially organism-agnostic route, but existing methods typically rely on mechanistic assumptions, prior knowledge that may not be available in non-model contexts, or the screening of sequence libraries. Here, we present a simple generative approach for creating synthetic 5'-UTR libraries based solely on the genomic sequence statistics of any desired organism. The method uses a sliding-window n-gram language model applied to native 5'-UTR sequences to produce novel sequences that preserve organism-specific base distributions and motifs without hard-coding specific motifs or mechanistic rules into inflexible statistical templates. We have applied this approach to the model bacterium Escherichia coli and the non-model probiotic Limosilactobacillus reuteri. Libraries of approximately 1,000 sequences were generated for each organism, from which about 100 unique sequences were experimentally tested for translation of a fluorescent reporter protein. In both organisms, the synthetic libraries yielded a broad range of translation levels from this relatively small number of tested variants. Sequences derived from an organism's own genomic statistics provided a more uniformly distributed range of translation rates in that organism than sequences derived from the other species. Correlations of individual sequence performance across the two species were weak, and thermodynamic predictions of ribosome binding strength showed very little predictive power, especially in the non-model L. reuteri. The results demonstrate that simple statistical language model approaches applied to genomic data can generate functional translational regulatory sequence libraries without detailed mechanistic knowledge or explicit reference to consensus motifs. The approach requires minimal computational resources, avoids reproducing native sequences, and can be readily applied to any organism with a sequenced genome. This strategy may lower technical barriers to expression tuning in non-model organisms.

5' Untranslated Regions↗
PubMed2026

Genetic diversity and antifungal susceptibility among ecological niche populations of Aspergillus flavus in Yaound&#xe9;, Cameroon.

Aspergillus flavus is a ubiquitous fungus commonly found in a variety of ecological niches including soil, crops, the air, and humans. In humans, it is the second leading cause of invasive aspergillosis (IA) and is linked to other illnesses through contamination of agricultural products with aflatoxins. As such, A. flavus threatens food safety, economic wellbeing, and human health, particularly in less developed regions and countries such as Cameroon. To mitigate these effects, farmers and clinicians rely on triazoles to reduce aflatoxin contamination and treat IA. However, a consequence of increasing triazole use is the emergence and spread of triazole resistance in both agriculture and clinics. To identify the prevalence of triazole resistance and the potential genetic relationships among triazole resistant and susceptible strains, this study investigated antifungal susceptibility to both clinical and agricultural triazoles and analyzed genetic variation among various ecological niche populations of A. flavus in Cameroon. Strain genotypes were obtained through analysis of six polymorphic microsatellite markers. Our analyses revealed that 30.3% (17/56) of the strains were resistant to at least one of the four triazoles, with increased minimum inhibitory concentrations found among crop-isolated strains. A Permutational Multivariate Analysis of Variance suggested limited ecological niche-based clustering of genotypes, consistent with frequent gene flow and dispersal among ecological niches. A multilocus linkage disequilibrium analysis revealed evidence of non-random recombination in A. flavus. Overall, this study elucidates the interplay between ecological pressures, antifungal resistance, and genetic differentiation, and invites alternative methods to control aflatoxin contamination in foods without the use of agricultural fungicides.

Aspergillus flavus↗
PubMed2026

Mitochondrial genome-derived microsatellites reveal genetic diversity and population structure in Callery pear populations.

Callery pear (Pyrus calleryana Decne.; PC) possesses many desirable characteristics valued in managed landscapes. This has driven the release of numerous cultivars, including both hybrids and selections derived from native populations. The extensive planting of PC cultivars in managed areas has contributed to the widespread occurrence of invasive individuals across a broad range of habitats in the eastern United States (US). Self-incompatibility, tolerance to various environmental conditions, pathogen and pest resistance, intraspecific hybridization among the cultivars, possible interspecific hybridization with other Pyrus species, and seed dispersal by various vertebrates have contributed to the spread and persistence of PC across diverse environments. Because effective and environmentally appropriate management options remain limited, improved understanding of PC genetics may help inform management strategies. Previous studies have characterized PC diversity using nuclear genomic short sequence repeats (gSSRs), however, neither a mitochondrial genome resource nor mitochondrial short sequence repeats (mtSSRs) have been developed for this purpose. Here, we assembled a mitochondrial genome of 485,892 bp and used five mtSSRs to characterize mitochondrial&#xa0;diversity and population structure among accessions from the species' native range in Asia (n&#x2009;=&#x2009;72), southeastern US escapees (SNesc; n&#x2009;=&#x2009;90), Tennessee escapees (TNesc; n&#x2009;=&#x2009;90), and US-released commercial cultivars (UScult; n&#x2009;=&#x2009;69 representing 14 unique cultivars). We found a high genetic diversity (He&#x2009;=&#x2009;0.728) and evidence of genetic structure in PC. In distance-based and multivariate analyses, UScult occupied an intermediate position between the Asian populations and the US escapees. The observed mitochondrial diversity among samples assigned to PC cultivars is consistent with a complex genetic landscape and may reflect distinct maternal lineages, cultivar-labeling or record-keeping discrepancies, and/or technical variation. This study underscores the need for broader genomic investigations using authenticated cultivar reference material and high-resolution nuclear markers to resolve cultivar ancestry, validate true-to-name identity, and inform species management.

Genetic Variation↗
PubMed2026

Short-term effects of different toothpaste formulations on total salivary calcium: A randomized crossover study.

OBJECTIVES: Dental calculus formation can be inhibited by toothpastes containing pyrophosphate, which chelates calcium ions and prevents hydroxyapatite crystal formation. Although pyrophosphate may also influence salivary calcium availability, the short-term effects of commercially available toothpaste formulations on salivary calcium concentrations remain insufficiently characterized. This study investigated and compared the short-term effects of three fluoride toothpastes on salivary calcium concentration. METHODS: A randomized, three-treatment, three-period crossover trial was conducted in 48 healthy volunteers. The participants used three commercially available sodium fluoride toothpastes in randomized order: a formulation containing methyl vinyl ether/maleic acid copolymer, PVM/MA copolymer (Sensodyne), a formulation containing pyrophosphate and zinc (Dentalux), and a formulation containing sodium bicarbonate (Parodontax). Treatment periods were separated by a 2-day washout. Unstimulated saliva was collected at baseline (T0), immediately after brushing (T1), 30 min (T2), and 60 min (T3). Salivary calcium concentrations were quantified using a colorimetric assay. Data were analysed using linear mixed-effects models with toothpaste formulation, measurement time, treatment sequence, and the toothpaste-by-time interaction as fixed effects and participant as a random effect. RESULTS: Significant effects were observed for toothpaste formulation (F(2,103.35)=42.31, P&#x2009;<&#x2009;0.001), measurement time (F(3,141)=39.78, P&#x2009;<&#x2009;0.001), and the toothpaste-by-time interaction (F(6,141)=23.91, P&#x2009;<&#x2009;0.001), whereas treatment sequence had no significant effect (P&#x2009;=&#x2009;0.927). Compared with Dentalux&#xae; and Sensodyne&#xae;, Parodontax&#xae; resulted in significantly lower salivary calcium concentrations (both Bonferroni-adjusted P&#x2009;<&#x2009;0.001), immediately after brushing (T1). The differences decreased after 30 min and were no longer significant after 60 min. No significant differences were observed between Dentalux&#xae; and Sensodyne&#xae; at any time point. CONCLUSIONS: Commercially available fluoride toothpastes produced different short-term effects on the salivary calcium concentration, with the greatest differences occurring immediately after brushing. Because the products differed in terms of multiple formulation ingredients, the findings reflect product-level effects rather than ingredient-specific effects. Further multicentre studies are warranted to confirm these findings and evaluate their clinical relevance.

Humans↗
PubMed2026

Two domesticated species of rice shaped the population structure of Xanthomonas oryzae pv. oryzae in Africa.

African rice (Oryza glaberrima) was independently domesticated in West Africa around 3000 years ago, and has long been intertwined in the history of the region. Asian rice (Oryza sativa), which was introduced in Africa when European settlers arrived, gradually replaced African rice and has since dominated rice cultivation in the continent. Domesticated rice species are affected by bacterial leaf blight (BLB), which is caused by the pathogen Xanthomonas oryzae pv. oryzae (Xoo). Here we show that the bacterial leaf blight pathogen in Africa (AfXoo) belongs to a distinct phylogroup from the one circulating in Asia (AsXoo), and has a different evolutionary history. Analysis of 87 AfXoo genomes identified five main populations, including highly clonal ones, and a more diverse and recombinant population. Tip-dating analysis revealed that the AfXoo population went through a period of expansion, then decline and more recent recovery. We hypothesize this followed the rise and fall of African rice, and that the introduction of O. sativa served as a bottleneck leading to the emergence of current AfXoo populations. We show that AfXoo has a highly conserved repertoire of type III effectors (T3E), but that nonetheless there is variation especially between populations. In the case of transcription activator-like effectors (TALEs), variation can arise quickly through rearrangements, and we hypothesize that the TALE repertoire of AfXoo has been selected to allow the bacteria to colonize both species of cultivated rice found in the continent. Our research provides an attempt to decipher the genetic history of bacterial blight in West Africa, and its past and present impact on rice cultivation in the region.

Journal Article↗
PubMed2026

In C5-heterozygous intercrosses, the proportion of C5-homozygous-null female offspring exceeds the expected Mendelian ratio.

The complement system has functions beyond host defense, including roles in development and reproduction. However, the role of complement C5 in fertilization and early embryonic development remains unclear. Here, we investigated the reproductive phenotype of C5-deficient mice on a BALB/c background. C5-/- mice were fertile and showed no obvious reproductive abnormalities under standard laboratory housing conditions. However, offspring from C5+/- &#xd7; C5+/- mating showed a significant deviation from the expected Mendelian distribution, with an increased proportion of female C5-/- offspring, whereas male offspring showed no comparable distortion. In vitro fertilization reproduced this skewed ratio which was detectable at the blastocyst stage, suggesting that the underlying mechanism operates during fertilization or preimplantation development. Parent-of-origin analysis further suggested a contribution of maternal C5. During preimplantation development, C5, C5a receptor 1 (C5ar1), and C5a receptor 2 (C5ar2) mRNA levels showed distinct dynamic expression profiles. These findings revealed an unexpected sex- and genotype-dependent reproductive phenotype associated with C5 deficiency and suggest that C5-dependent signaling may contribute to genotype-dependent selection during fertilization or preimplantation development. The dynamic expression of C5a receptors further supports a potential role for C5a signaling in early embryonic development and expands the biological role of complement beyond immune defense to include regulation of mammalian reproduction.

complement↗
PubMed2026

Parenting styles and fertility intention: Mediating effects of childbearing beliefs and psychological resilience.

China's declining fertility rate is partly due to low fertility intention among childbearing population. To understand family influence on young people's fertility intention and its underlying mechanisms, this study examines how parenting styles (authoritarian vs. permissive) affect Chinese college students' fertility intention, with traditional childbearing beliefs and resilience as mediators. Data were collected from 839 participants (Age: M = 21.1, SD = 1.7 years) using structured questionnaires. Logistic regression found that a positive correlation between permissive parenting style and fertility intention, with authoritarian parenting having no impact. Mediation analysis showed the association between permissive parenting style and fertility intention was fully mediated through resilience (&#xf062; = 0.0, 95%CI = [0.0,0.1]) and greater childbearing beliefs (&#xf062; = 0.0, 95%CI = [0.0,0.1]). The findings indicate that permissive parenting is related to higher fertility intention in youth via resilience and childbearing beliefs. Promoting positive family environments and permissive parenting may enhance childbearing intention.

Humans↗
PubMed2026

Genomic inbreeding coefficients and inbreeding depression of semen production traits at genome-wide and chromosomal levels in Japanese Holstein bulls.

We aimed to estimate inbreeding coefficients and the effects of inbreeding depression on semen production traits at both the genome-wide and chromosomal levels. We utilized pedigree data for 19,921 animals, single nucleotide polymorphism (SNP) data on 5700 Japanese Holstein bulls, and 52,193 semen collection records from 775 bulls. We estimated 4 different inbreeding coefficients, namely a pedigree-based coefficient (FPED) and 3 genomic coefficients derived from SNP data. The genomic coefficients consisted of one based on the genomic relationship matrix (FGRM), one based on runs of homozygosity (ROH), and one based on homozygous-by-descent (HBD) segments (FHBD). These genomic coefficients were estimated at both the genome-wide and chromosomal levels. Furthermore, we investigated the effects of these coefficients on semen production traits: semen volume (VOL), sperm concentration (CON), sperm number (NUM), and sperm motility (MOT). In the genome-wide-level analysis, inbreeding coefficients increased markedly in bulls born after 2009, coinciding with the introduction of genomic selection. Significant inbreeding depression of VOL was found. At the chromosomal level, the inbreeding coefficients for most chromosomes showed a similar trend to the genome-wide metrics, although some (e.g., chr10 and chr20) exhibited a more pronounced trend. Suggestive inbreeding effects were detected on specific chromosomes for all traits (chr1 and chr22 for VOL, chr24 and chr29 for CON, chr1, chr12, and chr27 for NUM, chr10 and chr18 for MOT), including the traits that were not significant at the genome-wide level. Our results highlight that chromosomal-level analysis provides information complementary to whole-genome metrics, offering a more detailed perspective for managing inbreeding effects. To mitigate the adverse effects of inbreeding on semen production traits, future breeding programs would benefit from the control of inbreeding effects on high-risk chromosomal regions.

Genomic inbreeding coefficient↗
PubMed2026

Genomic background of gestation length and calving-related traits in Holstein cattle.

The reproductive success of cows directly influences the profitability of dairy farms. Reproductive traits, particularly calving-related traits, generally have low heritability but sufficient additive genetic variance to enable genetic progress through genomic selection. Thus, the primary objectives of this study were to estimate genetic parameters and perform single-step genome-wide association studies (ssGWAS) for calf size, calving ease, gestation length, and stillbirth in Holstein cattle. Variance components were estimated based on animal models and Bayesian inference using a data set containing 226,717 animals with phenotypic records, 15,761 animals genotyped with 45,101 SNP markers, and 461,819 animals in the pedigree. SNP effects were estimated using the single-step GBLUP method. For direct and maternal genetic effects, heritability estimates (posterior standard deviation) ranged from 0.001 (0.002) for gestation length in heifers to 0.16 (0.001) for gestation length in cows. Genetic correlations ranged from -0.57 (0.01) between calving ease and stillbirth in heifers to 0.74 (0.01) between gestation length evaluated in heifers and cows. The ssGWAS results supported a highly polygenic architecture for calving-related traits, with most genomic signals not reaching genome-wide significance. A genome-wide significant association was detected for calving ease in cows on BTA23, highlighting FARS2 as a positional candidate gene. The strongest GWAS signals for each trait harbored additional biologically important candidate genes, including NPPA, NPPB, BCHE, EPHA4, DLD, and GTF2I. Given the generally low heritability estimates and the predominantly polygenic architecture observed for these traits, genomic selection may contribute to the genetic improvement of calving-related traits in Holstein cattle, with potential benefits for cow welfare, calf survival, and overall dairy production efficiency.

dairy cattle↗
PubMed2026

The European Health Data Space and the Secondary Use of Sensitive Health Data.

INTRODUCTION: The European Health Data Space (EHDS) is one of the European Union's most ambitious data-governance projects. It aims to create a common framework through which electronic health data can be accessed and reused across Member States for care, research, innovation, policy, and public-interest purposes. Its practical viability depends not only on digital infrastructure, but also on legal, ethical, and organisational harmonisation, particularly for genetic and genomic data. METHODS: This paper examines the EHDS with emphasis on the secondary use of health data. It reviews the EHDS institutional architecture, discusses Finland's Findata as a national model for structured access, and analyses challenges for data holders and data donors, including interoperability, governance burdens, privacy protection, residual re-identification risk, and genomic-data sensitivity. RESULTS: A cross-border cancer-genomics case study shows that the EHDS can streamline data discovery and the routing of access requests, but does not by itself eliminate legal fragmentation, heterogeneous ethics review, and consent-related barriers. DISCUSSION: Effective implementation will require harmonisation beyond infrastructure, including clearer consent standards, more consistent ethics procedures, interoperable metadata, and proportionate safeguards for genomic data.

Electronic Health Records↗