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hEVO model uses human genetic diversity to interpret variants

A bioRxiv preprint introduces hEVO, a genomic model trained on 4.784 billion haplotype sequences reconstructed from whole-genome data. Its authors report strong results across variant-interpretation benchmarks, including tests that required no task-specific training.

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Arabidopsis study identifies more than 200 transposable-element families

A bioRxiv preprint reports more than 200 newly identified transposable-element families in Arabidopsis thaliana, based on long-read genome assemblies from 91 strains. The authors say these families contribute to genetic variants with large effects, even though full-length copies are often found in only a few strains.

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Study finds accuracy losses in short-read structural-variant pipelines

A bioRxiv preprint benchmarked 16 tools using 30× Illumina whole-genome sequencing and found that only five reliably produced exact deletion, insertion and duplication calls against truth sets. It also reported accuracy losses in ensemble pipelines compared with their strongest component tools.

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Study finds rescue transcript rankings can overstate gene-specific evidence

A bioRxiv preprint analysing a PLP1-mutant Jimpy brain dataset finds that normalization choices and shared controls can affect which genes appear to move toward healthy levels after a rescue. The authors say such transcriptomic patterns can indicate broad state restoration without identifying which downstream gene mediates it.

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Human pangenomes reveal regulatory evolution in transposable elements

A bioRxiv preprint analysing 231 haplotype-resolved human pangenomes reports that variable transposable elements can gain, change or lose regulatory effects before they become fixed. Their effects depend on DNA methylation and transcript context.

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Assay Reliability Can Cap Variant-Effect Benchmarks, Preprint Finds

A bioRxiv preprint finds that the reproducibility of functional assays can cap measured performance for variant-effect predictors. Correcting for assay reliability shifts the apparent prediction gap from canonical splice sites toward intronic regions 11–50 base pairs from the splice boundary.

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Nanopore framework finds hidden variation in DNA methylation

A bioRxiv preprint from Queen Mary University of London presents a genome-wide framework that uses native Oxford Nanopore reads to measure molecule-level DNA methylation variation and co-methylation. In human lymphoblastoid cell data, the analysis found patterns hidden by site-level averages.