121 papers
Genetics is the fascinating study of how traits are passed down and how our DNA shapes everything from eye color to disease risk. At Gist.Science, we bring you the very latest discoveries in this dynamic field directly from bioRxiv, the leading preprint server for biology. Because these findings appear months before formal publication, staying updated requires sifting through complex data that often feels inaccessible to non-specialists.
To bridge that gap, our team processes every new genetics preprint uploaded to bioRxiv, transforming dense scientific reports into clear, plain-language explanations alongside detailed technical summaries. This dual approach ensures that whether you are a seasoned researcher or simply curious about how genes work, you can grasp the core insights without getting lost in jargon. Below are the latest papers in genetics, curated and simplified for your reading.
By applying multiple X-chromosome-wide association study models to dietary intake data from up to 445,773 UK Biobank participants, researchers identified 18 novel genetic loci, demonstrating that incorporating the X chromosome with diverse analytical approaches reveals significant genetic influences on eating behaviors that traditional methods often miss.
This paper proposes a new model called Catastrophic IntraChromosomal Recombination (CICR) to explain how unresolved replication forks in the ribosomal DNA of aging yeast lead to massive, toxic chromosomal instability that contributes to variability in lifespan.
This study introduces a modified massively parallel reporter assay (MPRA) framework that tests enhancer variants alongside their native promoters to comprehensively map the functional impact of 1,214 CYP3A4 regulatory variants, revealing a subset with significant effects on drug response and cancer severity while establishing a generalizable strategy for studying enhancer-promoter interactions.
By utilizing a *Drosophila* eye model to screen FDA/EMA-approved compounds, researchers identified that modulating dopamine signaling and cyclooxygenase pathways can rescue the small eye phenotype and alleviate neurological symptoms in PIGA-CDG, offering promising repurposed therapeutic candidates for this currently untreatable disorder.
The paper introduces Genetic Probabilistic Circuits (GPC), a tractable deep generative model based on hidden Chow-Liu trees that outperforms existing methods in generating accurate artificial genomes and imputing genotypes while better preserving data privacy.
This study simulates breeding scenarios to demonstrate that optimizing cryobank management requires tailoring sampling strategies to specific goals, where recent samples favor genetic progress in selected populations while older, diverse samples are crucial for conserving genetic variability and minimizing inbreeding, ultimately supporting continuous collection enrichment and the use of optimal contribution selection.
This study demonstrates that while strong inhibition of insulin/IGF-1 signaling during early-to-mid adulthood compresses morbidity and extends lifespan, the optimal strategy for maximizing both healthspan and longevity involves temporally modulating this pathway, as its reduction in later life can paradoxically accelerate aging while its cessation in the elderly can rejuvenate function.
This study demonstrates that humanized Klotho haplotypes (FC and VS) induce widespread, age-dependent transcriptomic changes in the mouse brain—particularly affecting mitochondrial, ribosomal, and synaptic functions, including glutamate receptors and amyloid precursor processing—thereby supporting the hypothesis that these genetic variants influence Alzheimer's disease risk and pathogenesis.
This study demonstrates that PMS2 exhibits context-dependent, dose-responsive effects on repeat expansions across different disease models, supporting the hypothesis that diverse Repeat Expansion Diseases share a common underlying expansion mechanism.
The authors introduce ALLSPICE, a new likelihood-based method that leverages summary statistics to detect heterogeneous rare variant effects across multiple phenotypes, thereby clarifying the complex pleiotropic architectures underlying cross-phenotype associations in large-scale biobank data.