Ebola Prevention Trial Tests First-Ever Post-Exposure Pill Strategy: As a growing Ebola outbreak in the Democratic Republic of the Congo and Uganda surpasses 1,000 suspected cases and more than 200 deaths, researchers are preparing an unprecedented clinical trial that could transform outbreak response. The study will test whether a 10-day course of the experimental antiviral obeldesivir can prevent Ebola infection after exposure, a strategy known as post-exposure prophylaxis (PEP). While Ebola control efforts have traditionally relied on contact tracing, isolation, and vaccination, no approved vaccine currently targets the Bundibugyo strain driving the outbreak. Obeldesivir, an oral relative of remdesivir, has shown strong protective effects in animal studies against several Ebola viruses and Marburg virus. Researchers hope the treatment will not only prevent illness but also improve contact tracing by giving exposed individuals an immediate intervention. If successful, the trial would represent the first controlled test of an antiviral drug used to prevent Ebola following exposure and could become a powerful new tool for containing future outbreaks. (Science)

Inherited Traits Break Mendel’s Rules : A major mouse study is complicating the clean inheritance rules biology students learn from Mendel. Researchers found that some traits can pass from parent to offspring through epigenetic marks, chemical modifications that alter gene activity without changing the underlying DNA sequence. The team reported hundreds of unusual inheritance patterns, including methylation changes that appeared to arise unexpectedly and then influence offspring traits. Most strikingly, they identified what they describe as the first naturally occurring paramutation in a mammal, a case where one inherited version of a gene can alter the behavior of another. The work suggests heredity may be more flexible than classical genetics allows, especially when environmental pressures influence epigenetic regulation. (ScienceDaily)

Evolution May Be Less Neutral Than Expected: A University of Michigan study is challenging one of molecular evolution’s most influential ideas: that most genetic changes that become fixed in populations are neutral. The researchers argue that beneficial mutations may be more common than long assumed, but that many fail to spread permanently because environments keep shifting. In other words, natural selection may favor a mutation under one set of conditions, only for that advantage to fade before fixation. The finding does not overturn neutral theory outright, but it adds a more dynamic layer to how scientists think about adaptation, mutation, and long-term genetic change. It also suggests that evolutionary success may often be temporary, contingent, and environmentally fragile. (ScienceDaily)

New Tool Maps Trait Causality from GWAS Data: A new PLOS Genetics paper introduces MR2G, a statistical framework designed to infer causal networks among complex traits using GWAS summary data. The method tries to address a persistent problem in genetics: association studies can reveal links between traits and variants, but not always the direction of causality. MR2G incorporates Mendelian randomization while allowing for feedback loops, which are common in real biological systems but often excluded from simpler models. Applied to 15 complex traits, including cardiometabolic risk factors and diseases, the framework recovered known pathways such as blood pressure and LDL cholesterol effects on coronary artery disease. It also identified bidirectional relationships that could sharpen disease-mechanism research. (PLOS)

Fine-Mapping Genes Across Tissues Gets Sharper: Another PLOS Genetics study presents mFABIO, a multi-tissue TWAS fine-mapping approach meant to identify gene-and-tissue pairs that may causally contribute to binary disease traits. Traditional transcriptome-wide association studies can flag genes whose predicted expression correlates with disease, but identifying the responsible tissue and causal signal remains difficult. mFABIO models binary outcomes directly and jointly analyzes genes across tissues, accounting for correlations in genetically regulated expression. The framework uses posterior inclusion probabilities to prioritize likely gene-tissue drivers. That matters because many diseases involve tissue-specific biology, and a gene implicated in one tissue may not be relevant in another. The method could improve how researchers move from genetic association to biological interpretation. (PLOS)

DNA Nicks Improve CRISPR-Based Genetic Analysis: Cornell researchers have refined a CRISPR-based method for studying gene function in living tissues by using patterned DNA “nicks” rather than more disruptive double-strand breaks. The work, published in PNAS, focuses on precision mosaic analysis in fruit flies, a key model for developmental genetics. By tuning mitotic recombination with DNA nicks, scientists can generate clearer genetic mosaics while reducing unwanted damage. That makes it easier to study how specific genes influence development and disease within complex tissues. The advance is not a therapy, but it strengthens the toolkit for basic genetics. Safer, more controlled genetic analysis can help researchers trace gene function with less experimental noise. (EurekAlert!)

Neanderthal DNA May Weaken Some Viral Defenses: A new study finds that archaic DNA inherited from Neanderthals may influence how modern immune systems handle common DNA viruses. Researchers analyzed viral sequences in large-scale genomic data and found associations between archaic variants and higher loads of Epstein-Barr virus, human herpesvirus 7, and anelloviruses. The result contrasts with earlier work suggesting some Neanderthal-derived variants improved defense against RNA viruses. The authors caution that a disadvantage today does not mean the same variants were harmful in ancient environments, since viruses evolve rapidly and pathogen landscapes change. The study adds nuance to the story of archaic ancestry, showing that inherited DNA from ancient humans can shape immunity in virus-specific ways. (EurekAlert!)

Postpartum Psychosis Shows Strong Genetic Component: Researchers report that postpartum psychosis has a substantial inherited component, strengthening the case that it should be treated as a serious biological illness rather than a personal or parenting failure. The study estimated that roughly 55% of risk is attributable to inherited genetic factors based on family data, while whole-genome sequencing suggested about 46% heritability from common genetic variants. Scientists also identified HMGCR, a gene involved in cholesterol biosynthesis, and found broader-than-expected overlap with immune-related conditions. The findings may help explain why some women become vulnerable during the postpartum period and why immune biology may matter. The work could guide future mechanistic studies and risk research. (Medical Xpress)

Genetic Map of the Eye Illuminates Vision Loss: A new genetic map of the human eye links DNA variation to gene activity in tissues central to vision. Researchers compared DNA differences with gene expression in the retina and retinal pigment epithelium, identifying more than 1.4 million eQTLs, genetic signals that influence how genes are switched on or off. These signals affected nearly 10,000 genes in the retina and almost 4,000 in the retinal pigment epithelium. Many were located in regulatory regions rather than protein-coding sequences, underscoring the importance of gene-control architecture in eye disease. The resource could help researchers interpret genetic risk for retinal disorders and prioritize targets for future treatments. (Medical Xpress)

Mammals Share Aging Gene Signatures: A broad comparative study across four mammalian species suggests that aging leaves a shared molecular fingerprint. Researchers identified gene-expression signatures that appear across species, offering a way to compare biological aging beyond any single animal model. That matters because longevity research often struggles to translate findings from mice to humans. Shared molecular patterns could help scientists measure biological decline, compare interventions, and identify pathways linked to healthier aging. The work also supports the idea that aging is not merely a collection of species-specific breakdowns, but may involve conserved genetic programs and stress responses. If validated further, these signatures could become useful biomarkers for testing anti-aging or healthspan-focused therapies. (News-Medical)

AI Speeds Rare-Disease Variant Interpretation: A new AI tool is being positioned as a way to help researchers interpret disease-causing genetic variants faster, a persistent bottleneck in rare-disease diagnosis. Sequencing can identify thousands of variants in a patient, but determining which change actually causes disease often requires slow manual review, functional evidence, and comparison with prior cases. The reported system aims to prioritize suspicious variants more efficiently, giving clinicians and researchers a sharper starting point. That could matter most for families stuck in diagnostic odysseys, where genomic data exist but interpretation lags behind. The broader trend is clear: genetics is moving from data generation to data explanation, and AI is increasingly being tested in that gap.(Technology Networks)