158 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.
Using a fuzzy regression discontinuity design on UK Biobank data, this study finds no causal evidence that an additional year of education affects telomere length decades later, challenging the prevailing view that education has long-lasting protective effects on biological aging.
This study introduces a unified analytical framework combining a depth-weighted quasi-binomial GWAS and cWAS to identify genetic loci regulating immune cell proportions and elucidate their causal impacts on autoimmune diseases, thereby linking noncoding genetic variants to specific cellular mechanisms underlying disease risk.
This paper derives analytical expectations for the site frequency spectrum of neutral mutations linked to polymorphic structural variants to quantify and correct the resulting biases in standard genetic diversity estimators and neutrality tests.
This study analyzes HLA allele and haplotype distributions across 14 Russian ethnic groups using over 18,000 whole-genome sequencing samples to provide high-resolution, publicly available frequency data that addresses regional data gaps and demonstrates the utility of these statistics in understanding population-specific genetic risks for diseases like type 1 diabetes.
This study reveals that intensive malaria control efforts in Peru, specifically the PAMAFRO project, reshaped *Plasmodium falciparum* populations by creating a genetic bottleneck that, combined with a selective advantage unrelated to diagnostic evasion, drove the rapid fixation and clonal expansion of *hrp2/3*-deleted parasites that evade standard rapid diagnostic tests.
This study reveals that in stationary-phase yeast, the mitochondrial porin Por1 represses Snf1/AMP kinase signaling to restrict amino acid availability, thereby attenuating the replication of the L-A mycovirus.
This study utilizes multilocus microsatellite typing to reveal high genetic diversity among *Leishmania infantum* strains causing tegumentary leishmaniasis in northern Italy, identifying a distinct parasite population exclusive to skin infections that underscores the necessity of integrated One Health surveillance to understand the disease's epidemiology.
This study demonstrates that a hybrid approach combining One-Class Support Vector Machines with Fisher's Exact Test outperforms traditional statistical and standalone machine learning methods in detecting polygenic adaptation from simulated evolve-and-resequence time-series data, particularly during the late dynamic phase of selection.
This study reveals that in *C. elegans*, excess zinc triggers a regulatory cascade where the high-zinc sensor HIZR-1 activates the transcription factor HLH-30/TFEB to drive lysosome remodeling and biogenesis, thereby enabling the organism to detoxify and store surplus zinc.
The study demonstrates that the conserved SIN-3 coregulator is essential for *C. elegans* to adapt to different bacterial diets by modulating vitamin B12-dependent metabolic pathways, specifically the methionine/S-adenosylmethionine cycle, to ensure survival during dietary shifts.