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.
In a large twin study, researchers found that while extinction learning rates robustly predict anxiety severity, neither extinction nor safety learning rates are heritable or genetically linked to anxiety, suggesting they are not endophenotypes despite the confirmed heritability of safety learning parameters.
This study developed statistical methods to identify genomic regions with excess reciprocal recombination in autism spectrum disorder families, revealing specific loci near candidate genes where recombination likely disrupts co-adapted haplotypes to contribute to disease etiology, independent of copy number variations.
This study psychometrically validates the Education and Assessment of Genetic Literacy (EAGL) measure in a large US sample, confirming its multi-domain structure and revealing significant interactions between education, personal connection to autism, and knowledge comprehension while finding no geographic disparities.
This study reveals that the pathogenicity of C-terminal frameshift deletions in MeCP2 is determined by a specific +2 reading frame shift that creates a destabilizing proline-proline-stop motif, and demonstrates that correcting this motif via base editing can rescue MeCP2 levels and Rett syndrome phenotypes.
This paper establishes the theoretical foundations of HaloGen, an open-source hierarchical Bayesian framework that evaluates trace DNA evidence under activity-level propositions by explicitly modeling transfer, persistence, and detection probabilities to provide transparent and robust likelihood ratios across diverse evidentiary scenarios.
This paper presents the practical implementation and simulation validation of the open-source HaloGen framework for calculating activity-level likelihood ratios from DNA transfer evidence, demonstrating how inter-laboratory variability and case-specific contextual assumptions critically influence evidential strength while proposing a minimum-effort calibration pathway for forensic laboratories.
This study reveals that asymmetric PRDM9 binding in hybrid mice triggers asynapsis and meiotic silencing, leading to widespread fertility defects and aneuploidy, with individual sensitivity to these disruptions largely controlled by a specific locus on chromosome 15 containing Dmc1 and Mei1.
This study reveals that mTOR regulates organismal longevity in *C. elegans* through a conserved neuroendocrine mechanism where its downregulation increases bile acid-like dafachronic acid production, which in turn activates the nuclear receptor DAF-12 and the dehydrogenase DHS-26/DHRS1 to extend lifespan.
CN-RNN is a novel deep learning framework that integrates bidirectional LSTM and multi-layer perceptron branches to accurately detect copy number variations from whole-exome sequencing data, outperforming existing methods by effectively combining local depth changes with region-level genomic features.
This study utilized multi-environment trials and statistical modeling to identify stable, high-yielding, and early-maturing fonio genotypes suitable for expanding cultivation into the Sudanian and Sudano-Guinean zones of Northern Benin, while also pinpointing key environmental factors influencing grain yield.