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PubMed2026

Functional characterization of the 9q34.13 locus identifies RAPGEF1 as a candidate gene modulating risk for melanoma and nevi via RAS activation.

Genome-wide association studies identified a melanoma- and nevus count-associated locus on chromosome band 9q34.13. Fine-mapping and melanocyte expression data collectively suggest two potential risk genes with opposite associations with risk: higher levels of Rap guanine nucleotide exchange factor 1 (RAPGEF1) and lower levels of uridine-cytidine kinase 1 (UCK1). Colocalization analyses and conditional transcriptome-wide association studies (TWASs) suggest multiple causal cis-regulatory sequence variants in partial linkage disequilibrium (LD) to each other. Melanocyte capture-HiC and CRISPR inhibition demonstrated regulatory interactions between fine-mapped variants and the RAPGEF1 and UCK1 promoters. Focusing on RAPGEF1, we demonstrate that RAPGEF1 expression promotes melanocyte growth and drives colony formation of human immortalized melanocytes. Following treatment with human epidermal growth factor (EGF), RAPGEF1 overexpression activated both RAP1 and RAS. Further, we show that RAPGEF1 expression is significantly enriched in melanomas that lack strongly activating RAS-MAPK pathway mutations, which suggests that RAPGEF1 may promote oncogenic RAS-MAPK pathway signaling in melanomas. Furthermore, in these tumors, we provide preliminary evidence to support the prognostic relevance of RAPGEF1 expression in individuals whose melanomas lack RAS or BRAF mutations. Together with other recent studies, these data suggest that germline variation influencing RAS activation may play a key role in nevus development and melanoma risk.

GWAS↗
PubMed2026

Functional screening and single-cell cultivation of marine CO2-fixing bacteria via flow-mode Raman-activated cell sorting.

Most marine CO2-fixing microorganisms remain uncultivated due to strong culture bias and low throughput of conventional approaches, which fail to link in situ function with isolated strains and render slow-growing or low-abundance taxa virtually inaccessible. This study presents an integrated single-cell workflow that incorporates 13C-NaHCO3 labeling, high-throughput flow-mode Raman-activated cell sorting (RACS) and microwell cultivation for the isolation of active CO2-fixing bacteria from the Yellow Sea. Function-guided sorting was achieved by monitoring the 13C-induced Raman shifts of carotenoids (ν1 band: ∼1507 to ∼ 1503.78 cm-1 at 24 h). Genomic and physiological analyses identified Paraburkholderia aromaticivorans FR-4 as a novel facultative chemoautotrophic nitrite-oxidizing bacterium (NOB). Its genome encodes complete nitrite oxidation and Calvin cycle pathways, together with key carbon acquisition genes (carbonic anhydrase, bicarbonate transporter). FR-4 grows autotrophically using NO2- as the electron donor and CO2/HCO3- as the carbon source, confirming its ability to couple nitrite oxidation with carbon fixation, while retaining metabolic flexibility for heterotrophic growth. By directly linking in situ carbon-fixing activity, genotype, and phenotype, this workflow provides a targeted strategy for exploring elusive marine CO2-fixing bacteria and overcomes critical limitations of conventional cultivation.

Carbon-fixing↗
PubMed2026

Adaptive laboratory evolution enables carbon-negative mixotrophic fermentation and enhanced chain elongation in Clostridium sp. JS66.

Improving carbon recovery during sugar fermentation remains a major challenge because a substantial fraction of substrate carbon is lost as CO2 during central metabolism. To overcome this limitation, Clostridium sp. JS66 (JS66), an acetogen producing hexanoic acid from glucose, was subjected to adaptive laboratory evolution under autotrophic CO2/H2 conditions to enhance H2-assisted CO2 reassimilation during glucose fermentation. The evolved strain, ALECO2, exhibited CO2 consumption without a lag phase under autotrophic conditions and reached a 9.5-fold higher CO2 uptake rate than JS66. Under fed-batch mixotrophic conditions, glucose-only fermentation yielded a carbon molar yield (Cmetabolite/Csugar, CM/CS) of 0.60, whereas H2 supplementation increased CM/CS to 0.91 and redirected carbon flux toward C6 products (hexanoic acid and hexanol), which accounted for 49% of total C_output. With additional CO2 supplementation, ALECO2 further assimilated externally supplied CO2, increasing the CM/CS to 1.10 and demonstrating carbon-negative fermentation. Assimilation of externally supplied CO2 further redirected carbon flux toward chain elongation, producing 7.14 g/L hexanoic acid and increasing the C6 carbon fraction to 57% of total C_output. Constraint-based flux analysis supported increased acetyl-CoA formation through the Wood-Ljungdahl pathway and enhanced flux toward reverse β-oxidation under H2- and CO2/H2-supplemented conditions. Genome analysis identified mutations including genes encoding a putative HytB homolog and a LysR-type transcriptional regulator. These results establish ALECO2 as a promising evolved anaerobic non-photosynthetic (ANP) mixotrophy platform that links CO2 reassimilation and external CO2 assimilation with chain elongation, enabling carbon-neutral and carbon-negative production of value-added C6 products from glucose.

Anaerobic non-photosyntheticmixotrophy (ANP)↗
PubMed2026

Deep generative models in biological sequence and structure analysis and design.

Deep generative models have transformed biological sequence modeling from predictive analysis toward increasingly controllable design. Early biological applications of Variational Autoencoders (VAEs) and Generative Adversarial Networks (GANs) established latent representation learning and sequence synthesis, while recent advances in transformer-based language models, discrete diffusion, flow-matching, and multimodal generative frameworks have substantially expanded the scope of biological design. This review examines generative models for DNA, RNA, and protein sequence design, emphasizing how different model classes represent biological constraints, operate over discrete and continuous spaces, and integrate sequence, structure, and function. We compare VAEs, GANs, autoregressive and masked language models, diffusion models, and flow-based approaches across genomics, transcriptomics, and proteomics, with particular attention to controllability, long-range dependency modeling, structural grounding, generalization, and experimental utility. We further examine evaluation strategies, out-of-distribution generalization, and closed-loop design-build-test-learn workflows that connect in silico generation with empirical validation. We distinguish fundamental modality-dependent constraints including sequence discreteness, context length, structural coupling, and physical or thermodynamic requirements from architecture-dependent advantages that reflect the current state of the field. Current studies suggest that long-context models are particularly useful for genome-scale representation and sequence modeling, whereas structure-aware diffusion, flow-based, and inverse-folding approaches provide better frameworks for geometry-constrained RNA and protein design. This perspective provides a critical framework for understanding the present capabilities, limitations, and convergence of generative approaches toward reliable and experimentally grounded biological design.

Biological sequence analysis↗
PubMed2026

Insecticidal peptides as sustainable tools for future agriculture.

The increasing global human population and the intensification of agriculture present unprecedented challenges for pest control. The escalating resistance of pests to conventional synthetic insecticides, coupled with ecological and health concerns, underscores the urgent need for innovative and sustainable management approaches. Insecticidal peptides, due to their structural diversity, molecular specificity, and biodegradability, are emerging as promising candidates for the development of next-generation bioinsecticides. This strategic roadmap synthesizes recent advances in peptide architectures, ranging from pore-forming scaffolds to designs targeting enzyme inhibition and mimicking neuroendocrine actions, with a focus on the molecular mechanisms underpinning their selectivity and efficacy. By integrating structure-function insights with translational frameworks, we identify critical knowledge gaps and propose a pathway toward biotechnological tools, including bioinspired synthesis, artificial intelligence (AI)-guided peptide engineering, and nanodelivery systems for controlled release. Our analysis positions peptide-based insecticides at the forefront of sustainable agriculture, with the potential to minimize off-target effects, reduce environmental impact, and enhance crop resilience in the face of global change.

Agricultural biotechnology↗
PubMed2026

Prognostic role of thymidine kinase 1 activity in hormone receptor positive metastatic breast cancer. A systematic review and meta-analysis.

INTRODUCTION: Circulating thymidine kinase 1 activity (TKa) is a potential prognostic biomarker in patients with hormone receptor-positive (HR+) metastatic breast cancer (MBC); however, results are heterogeneous. In this study we aimed to summarize the current evidence on the prognostic role of circulating TKa in women with HR+&#xa0;MBC. METHODS: We conducted a systematic review of PubMed, Embase, and Cochrane CENTRAL databases and abstracts from main international oncology meetings. Phase II-IV clinical trials and prospective observational studies in patients with MBC assessing circulating TK1 levels or TKa and reporting hazard ratios (HRs) for progression-free survival (PFS) and/or overall survival (OS) were included. HRs were pooled using random-effects models (restricted maximum likelihood with Hartung-Knapp adjustment), with heterogeneity quantified by I2 and prediction intervals. The primary study outcome was the association of baseline and on-treatment TKa with PFS and OS. Secondary analyses aimed at exploring the source of heterogeneity. RESULTS: Eighteen studies, reporting data from nearly 3000 women, were included in the systematic review and 15 studies were meta-analyzed. Patients with HR+&#xa0;MBC and high baseline TKa showed a significantly higher risk of progression (PFS: HR 1.90; 95% CI 1.57-2.30; p&#xa0;<&#xa0;0.001) and death (OS: HR 2.48; 95% CI 1.94-3.17; p&#xa0;<&#xa0;0.001) than those with low TKa. TKa at 2 and 4 weeks on-treatment was also prognostic (2 weeks, PFS: HR 2.76; 95% CI 2.34-3.26; p&#xa0;<&#xa0;0.001; 4 weeks, HR 2.26; 95% CI 1.93-2.66; p&#xa0;<&#xa0;0.001). Similar pooled effects were obtained when accounting for different cut-offs, TKa assessment, and sample-type. CONCLUSION: Pre-treatment high TKa is an adverse prognostic factor in women with HR+&#xa0;MBC. High on-treatment TKa is also associated with worse outcome, potentially serving as an early signal of treatment resistance. We provide a comprehensive summary of the currently available evidence on the prognostic value of circulating TKa.

Breast cancer↗
PubMed2026

Caloric restriction modulates genome-wide somatic mutation in mice.

Somatic mutations accumulate throughout life in every cell, and this process constitutes one of the hallmarks of aging-genomic instability. Caloric restriction (CR) has been shown to extend lifespan across diverse species. Using high-fidelity duplex DNA sequencing of bulk liver, bulk kidney, hepatocytes, and cerebellar neurons, we found that CR in mice reduces genome-wide somatic mutation burdens across multiple tissues and cell types. CR reduced both substitution and insertion/deletion burdens, with the magnitude of these effects varying across sample types. CR also decreased the activity of the enigmatic single-base substitution (SBS) mutational process SBS5 that gives rise to most mutations in mammals. Surprisingly, the mutation burden reduction from CR was greatest in transcriptionally inactive regions. This work illuminates links between diet, aging, and genomic integrity and establishes genomic integrity as a modifiable axis of aging.

DNA↗
PubMed2026

Selective control of HLA-DRB1 and HLA-DQA1 transcription through DR/DQ super enhancer microelements.

MHC-II gene expression requires promoter-proximal and distal organizing elements. A super enhancer located between the HLA-DR and -DQ genes was dissected into five microdomains (regions A-E) to define its mechanism of action. Regions A and B were required for maximal expression of HLA-DQA1. Region A facilitated HLA-DQA1 expression and substituted for region B in its absence, as well as mediating longer-range interactions with distal CTCF sites. Region D modulated HLA-DRB1 through specific 3D chromatin interactions, whereas a local insulator element (XL9) broadly interacted with the SE. Through deletion of HLA-DRB1 proximal-promoter elements, HLA-DQ expression increased by co-opting interactions with region D, indicating that competition between microelements regulates the absolute levels of MHC-II genes. Together, these data define an additional layer of control for MHC-II genes encoded in one of the most polymorphic and disease-associated regions of the human genome.

CP: immunology↗
PubMed2026

Causal assessment of Bayesian gene regulatory networks from single-cell transcriptomics.

Gene regulatory network (GRN) inference is an essential tool for revealing dysregulated relationships between genes in different cell types from single-cell transcriptomic (SCT) data. GRNs based on Bayesian networks (BNs) learned from SCT data can elucidate directed regulatory relationships representing complex disease mechanisms and their interplay through graphical modeling. However, software for learning BNs from SCT data is not widely available, nor is software for evaluating the BNs' structural accuracy in representing causal relationships between genes. Here, we describe the scstruc R package. This package provides a suite of BN structure learning algorithms specifically designed to handle SCT data, to evaluate the resulting networks based on the causal relationships they represent regardless of the availability of established molecular interaction networks, and to compare regulatory relationships between conditions. We demonstrated that scstruc can identify biologically relevant differential regulatory relationships between groups on a per-cell basis.

Bayesian networks↗
PubMed2026

Viral community structure in New Zealand's aquatic birds is associated with scavenging behavior.

Wild migratory birds play a major role in the global spread of viruses, yet the ecological drivers underpinning viral diversity and transmission, particularly host behavior, remain poorly understood. Aotearoa/New Zealand provides a powerful system to address this, including unique species that reflect its geographical isolation, yet with international connections provided by migratory birds across the East Asian-Australasian Flyway and Antarctic regions. Herein, we conducted a large-scale metatranscriptomic survey of wild birds across New Zealand and its subantarctic islands, in which we collected 1,348 samples from 690 individuals across 31 host species spanning four avian orders. We identified 118 avian viruses from 17 families, including 107 novel species, expanding our knowledge of avian viral diversity. Notably, viral community composition was most strongly associated with bird scavenging behavior, which explained more variation than host taxonomy, geography, or migratory status. Scavenging birds and opportunistic scavengers harbored more diverse viromes than non-scavengers, consistent with increased viral exposure across trophic levels. This was supported by the detection of 12 mammalian-associated viruses, primarily in scavengers, including hedgehog hepatovirus, rabbit hemorrhagic disease virus 2, and sea lion astroviruses, with host sequence data confirming dietary origin. We also detected viruses of epidemiological and evolutionary interest, including a low-pathogenic avian influenza A(H1N9) virus from red knots (Calidris canutus) and a divergent tobanivirus from Auckland Island teal (Anas aucklandica), which represented the first putative avian member of the Tobaniviridae. These findings suggest that virome structure in wild birds is associated with scavenging behavior, thus highlighting the importance of incorporating host ecology into viral surveillance and risk assessment.

New Zealand↗
PubMed2026

Experimental evolution reveals genetic routes for adaptive loss of the antibacterial type VI secretion system.

The type VI secretion system (T6SS) is a contractile nanomachine used by Gram-negative bacteria to deliver effector proteins into target cells, contributing to both interbacterial competition and pathogenesis. Although T6SS gene clusters are present in recently isolated commensal and pathogenic Escherichia coli strains, they are absent from classical laboratory strains that have been propagated for decades in pure cultures, suggesting that T6SS can be lost in the absence of competition. Here, we combined experimental evolution with whole-genome sequencing to track the fate of the enteroaggregative Escherichia coli (EAEC) Sci1 T6SS during competition with either T6SS-susceptible or T6SS-immune bacteria. After &#x223c;640 generations, T6SS activity was largely maintained during competition with T6SS-susceptible bacteria, whereas &#x223c;90% of clones evolved with T6SS-immune bacteria lost or attenuated T6SS activity through diverse mutations within the sci1 promoter, essential T6SS structural genes, or the rfaH transcriptional antiterminator. We identified two RfaH-binding ops elements within the sci1 cluster, revealing antitermination as a regulatory element of EAEC T6SS transcription, which is conserved among Enterobacteriaceae. Our findings highlight how experimental evolution can reveal the selective forces shaping T6SS maintenance and identify new regulatory components controlling its activity.

Journal Article↗
PubMed2026

Futibatinib after non-covalent FGFR inhibitors in FGFR2-rearranged intrahepatic cholangiocarcinoma: clinical activity and resistance patterns.

PURPOSE: The optimal sequencing of non-covalent and covalent FGFR inhibitors in FGFR2-rearranged intrahepatic cholangiocarcinoma (iCCA) remains undefined. Futibatinib, an irreversible FGFR1-4 inhibitor, may retain activity in the setting of acquired resistance to non-covalent FGFR inhibitors, but data on the patterns of acquired alterations are limited. METHODS: We conducted a retrospective multicenter study across three European centers including patients with advanced FGFR2-rearranged iCCA treated with futibatinib after progression on non-covalent FGFR inhibitors. Clinical outcomes and safety were evaluated. Available genomic profiling at progression was analyzed to characterize resistance mechanisms and their association with outcomes. RESULTS: Sixteen patients were included. Median progression-free survival (mPFS) with prior non-covalent FGFR inhibitors was 10.2 months (95% CI 7.0-15.5), with an objective response rate (ORR) of 60.0%. Among patients with post-progression genomic profiling (n&#x202f;=&#x202f;11), all harbored FGFR2 resistance mutations, with polyclonal alterations (&#x2265;2) in 45.5%. A higher burden of FGFR2 mutations and the presence of co-alterations were associated with shorter mPFS on non-covalent inhibitors. Futibatinib was administered at a median of fourth-line therapy. ORR was 31.3% and disease control rate was 50.0%. Median PFS and overall survival were 4.5 months (95% CI 2.0-9.1) and 9.9 months (95% CI 5.7-not reached), respectively. Notably, outcomes with futibatinib were independent of the number of acquired FGFR2 resistance mutations, and the adverse impact of co-alterations appeared attenuated. Safety was consistent with the known profile. CONCLUSIONS: Futibatinib demonstrates clinically meaningful activity after progression on non-covalent FGFR inhibitors, supporting its use in FGFR2-rearranged iCCA, including in the post-non-covalent inhibitor setting. The distinct resistance patterns provide a biological rationale for the continued efficacy of covalent FGFR inhibition. Prospective studies incorporating longitudinal molecular profiling are needed to optimize treatment sequencing.

Drug resistance↗
PubMed2026

Integrated functional, metabolomic, and biotransformation profiling of mycotoxin hepatotoxicity in 2D and 3D human hepatic models.

Mycotoxins pose a major risk to food safety and human health, yet their hepatotoxic mechanisms remain incompletely characterized due to limitations in conventional in vitro models. In this study, we systematically compared mycotoxin-induced hepatotoxicity and metabolomic profiling across two human hepatic models cultured under 2D monolayer and 3D spheroid conditions. The various mycotoxins (Aflatoxin B1, Citrinin, Deoxynivalenol, Ochratoxin A, Patulin, and Zearalenone) exhibit distinct metabolic signatures, thereby serving as an appropriate panel for comprehensively evaluating diverse hepatotoxic mechanisms. Mycotoxin exposure induced concentration-dependent hepatotoxicity accompanied by functional impairment and structural disruption in hepatic models. Metabolomic profiling revealed distinctive regulatory patterns between 2D and 3D hepatic models, with 3D spheroids showing consistent down-regulation across multiple intracellular metabolic pathways and altered extracellular metabolite release, whereas 2D monolayers predominantly exhibited global metabolic activation. In silico-assisted MS/MS analysis further demonstrated that Phase I biotransformation was largely conserved across models, whereas Phase II conjugation reactions were more frequently detected and exhibited greater model specificity in 3D spheroids. Overall, these findings indicate that 3D hepatic spheroids capture more integrated and coordinated hepatotoxic and metabolic responses to mycotoxins compared with 2D monolayer systems. These distinctive regulatory dynamics support their value as a physiologically relevant platform for toxicity assessment and mechanistic investigation.

3D hepatic spheroids↗
PubMed2026

Abundance-transcription decoupling reveals functional partitioning in bioelectrochemical denitrification biofilms.

Bioelectrochemical denitrification (BED) is often attributed to electroactive microorganisms that access electrode-derived electrons, yet the relative functional contribution of electroactive taxa and denitrifying populations within complex BED biofilms remain unclear. Here, we integrated reactor measurements with genome-resolved metagenomics and metatranscriptomics to examine microbial community structure, functional potential, and gene transcription across contrasting BED operational regimes differing in dissolved oxygen (DO), hydraulic retention time (HRT)/loading, and poised potential. Nitrate removal exceeded 90% across all tested conditions, but nitrogen intermediate accumulation, current generation, and theoretical electron balance differed substantially. Electroactive taxa such as Geobacter dominated (>80% abundance) under longer HRT and stronger poised potential, but contributed minimally to the transcription of canonical denitrification genes. Weaker cathodic potential enriched transcriptionally active denitrifying taxa such as Stutzerimonas, Acidovorax, and MR-S7, while oxygen exposure induced redox-stress responses and reshaped nitrogen metabolism beyond being a competing electron acceptor. Together, these results reveal a decoupling between taxonomic abundance, genomic functional potential, and transcriptional contribution in BED biofilms, indicating that nitrate-removal performance cannot be inferred from current generation or electroactive-taxon abundance alone.

Bioelectrochemical system↗
PubMed2026

Epigenetic aging and autosomal methylation remodeling in Anderson-Fabry disease.

Anderson-Fabry disease (AFD) is a rare X-linked lysosomal storage disorder characterized by marked clinical heterogeneity and incompletely understood genotype-phenotype correlations. While X-chromosome inactivation has been extensively investigated, the contribution of autosomal epigenetic mechanisms to phenotypic variability remains poorly defined. Here, we performed an exploratory genome-wide DNA methylation analysis in 32 AFD patients (22 females and 10 males; mean age 51.7&#xa0;years) recruited within a multicenter regional research project in Calabria (Italy). DNA methylation profiling was conducted using the Infinium MethylationEPIC v2.0 array. The analysis integrated two complementary approaches: differential methylation analysis and evaluation of biological aging through multiple epigenetic clocks, including Horvath, Hannum, PhenoAge, Skin & Blood, GrimAge, and DunedinPACE. Exploratory methylome-wide analysis identified a limited set of CpG loci showing nominal evidence of methylation differences between carriers of pathogenic and non-pathogenic variants; however, none remained statistically significant after correction for multiple testing. Annotation of the top-ranking nominal CpG associations highlighted genes involved in biological processes including vascular regulation, intracellular trafficking, cytoskeletal organization, immune signaling, and lipid metabolism. No significant differences between groups were observed for the conventional epigenetic age-acceleration measures examined. In contrast, carriers of pathogenic variants showed significantly higher DunedinPACE values (p&#xa0;=&#xa0;0.0328), indicating a faster estimated pace of biological aging. This finding suggests that DunedinPACE may capture aspects of the cumulative systemic burden associated with pathogenic GLA variants, although confirmation in larger independent cohorts is required. Overall, this pilot epigenomic study provides preliminary evidence that autosomal epigenetic remodeling and biological aging acceleration may contribute to phenotypic heterogeneity in AFD.

Anderson-Fabry disease↗
PubMed2026

Molecular DNA enrichment methods for parasite genomic sequencing in clinical samples: a systematic review.

Parasitic diseases such as malaria, Chagas disease, leishmaniases, and helminthiases are major causes of sickness and death in low- and middle-income countries. The high genetic diversity of these pathogens affects virulence, immune evasion, and diagnostic accuracy. Although Whole Genome Sequencing (WGS) is a powerful tool for tracking genetic variants and drug resistance, low parasitemia and the predominance of host DNA limit its application to clinical samples. This study systematically reviewed molecular strategies to improve the recovery of parasite DNA from clinical samples, following PRISMA 2020 guidelines and registered in PROSPERO. Searches of PubMed, Scopus, Web of Science, and LILACS up to December 2025 identified 20 eligible studies, most of which focused on protozoa, particularly Plasmodium spp. The main approaches included hybridization capture, selective whole-genome amplification, host DNA depletion, and in silico enrichment via adaptive sampling. Overall, no single method is suitable for all parasites analyzed; the optimal approach depends on the pathogen, sample type, and research objective. The review emphasizes that parasite DNA enrichment is essential for enabling WGS in clinical settings, underscoring the need for protocol standardization and cost-effectiveness analyses to support public health genomic surveillance.

Adaptive sampling↗
PubMed2026

An economic evaluation of functional genomic testing for individuals with undiagnosed rare disorders.

PURPOSE: Functional genomics (FG) approaches, such as RNA-seq and proteomics, offer a complementary diagnostic modality for individuals whose cases remain unsolved after genomic sequencing. This study evaluates the cost-effectiveness and cost-benefit of FG for individuals with suspected monogenic disorders relative to manual reanalysis of genomic data at 18 months. METHODS: A decision tree model compared the costs and outcomes of FG and 18-month reanalysis using data from two Australian Undiagnosed Disease Programs. Deterministic and probability sensitivity analysis were performed. RESULTS: With a diagnostic yield of 13%, FG enabled 4 additional diagnoses per 100 individuals tested at an additional cost of $390 (US $240), resulting in an incremental cost-effectiveness ratio of $8,550 ($5,313) and an 85% probability of being cost-effective. CONCLUSION: Functional genomics enables timely diagnosis for individuals with suspected monogenic disorders by evaluating the functional impact of variants of uncertain significance, offering an advantage over reanalyzing genomic data at 18 months. Integration into the Australian healthcare system, supported by collaborative networks and secure data-sharing infrastructure, coupled with addressing barriers to accessing funded genomic testing, could lead to an annual net benefit of up to $1.1 million ($0.7 M).

Functional genomics↗