Blood cell composition accounts for up to 53% of variation in DNA methylation age, with distinct influences on epigenetic clock measures and biological processes.
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BioMed Central · Genomics & Bioinformatics · ISSN 1756-994X
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Blood cell composition accounts for up to 53% of variation in DNA methylation age, with distinct influences on epigenetic clock measures and biological processes.
- Open access
Migration increased genetic diversity of Mycobacterium tuberculosis in Hamburg but did not significantly change local transmission patterns, which remained lineage-specific.
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Machine learning predicts 12-week weight-loss response after prolonged fasting using baseline microbiome and clinical data, with key predictors including Faecalibacterium and LDL cholesterol.
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Conserved chemoresistance across cancers is driven by a proliferative, MYC-regulated tumor state involving SRM, with over 70% of resistant cells showing elevated cell cycle activity.
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PureTarget PacBio sequencing reveals extensive genetic mosaicism with up to 18 on-target and 11 off-target variants in individual zebrafish, highlighting widespread editing complexity.
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A model incorporating negative frequency-dependent selection accurately predicts pneumococcal vaccine replacement dynamics, guiding surveillance strategies across diverse regions.
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Pangenome-based workflow GRAF achieves higher accuracy (F1 0.86) in detecting large pathogenic variants (≥20 bp) from targeted sequencing in cardiomyopathy cases.
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Pathogenic AGO2 variants cause a spectrum of neurodevelopmental and systemic features, with 97% of individuals showing delayed speech, intellectual disability, and motor delay.
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Human kidney organoids subjected to hypoxia replicate key features of ischemic AKI, including segment-specific injury responses and persistent inflammation, with 48 hours of hypoxia inducing notable injury markers.
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A multi-ancestry polygenic risk score predicts future weight gain with 7.05% variance explained and consistent effects across diverse genetic groups.
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Genomic analysis of 411 neonatal ExPEC strains reveals widespread virulence and resistance genes, with ST1193 and O75 being the most prevalent types across China.
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A specific gene expression signature predicts improved survival with bevacizumab in ovarian cancer patients, with overexpression linked to a hazard ratio of 0.41.
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