@plantphenomics.bsky.socialPhenomic prediction using all spectral data improves disease symptom assessment over single vegetation indices, enhancing GWAS signal detection for genetic studies. #Phenomics #GWAS #PlantBreeding
Details: doi.org/10.1016/j.pl...
@phenomics.bsky.social❤️🧠 What connects psychiatric disorders and cardiovascular disease? A Phenomics Commentary discusses shared risk factors and the importance of studying mental and cardiovascular health together.
@phenomics.bsky.social📱 In a digital weight-management RCT, behavioral compliance explained ~30% of the additional weight loss linked to dietitian support. Self-weighing was the primary mediator.
@phenomics.bsky.social🧠 Can better MRI denoising support CSVD assessment? A Phenomics Letter discusses an HC-MLP approach to enhancing 3D brain images while preserving relevant features.
@phenomics.bsky.social🏔️ Beyond BMI: A Phenomics study explores body composition-derived subtypes in Tibetan adults on the Qinghai high plateau and their associations with metabolite profiles and cardiometabolic outcomes.
@phenomics.bsky.social🧠 A rare ApoE variant offers clues to resilience against Alzheimer’s disease. A Phenomics Letter highlights emerging evidence on ApoE3 R136S, tau pathology and potential neuroprotective mechanisms.
@phenomics.bsky.social🌍 How might environmental toxins influence hormone regulation during development? A Phenomics article discusses environmental exposures and sex hormone homeostasis in children and adolescents.
@phenomics.bsky.social🧫 A Phenomics study develops a 22-color flow cytometry panel to map γδT, NKT and DNT cells in the mouse colon, revealing functional and location-specific immune phenotypes.
@phenomics.bsky.social🧬 Genetic evidence links allergic disease with reduced renal cell carcinoma risk. A Phenomics study highlights MHC II antigen presentation and Th2 cells as potential immune mechanisms.
@phenomics.bsky.social❤️ Beyond body size: A Phenomics study examines longitudinal associations between metabolic heterogeneity of obesity and ECG phenotypes in an older population.
@phenomics.bsky.social🫁 A Phenomics New Highlights article explores how bronchoalveolar lavage fluid microbiome signatures may inform lung cancer diagnosis, subtype classification and prognosis.
@phenomics.bsky.social🎗️ A Phenomics study combines network pharmacology and experiments to investigate arsenic trioxide + resveratrol in MCF-7 breast cancer cells, linking their combined effects to ESR1, TP53 and AKT1.
@phenomics.bsky.social❤️ A Phenomics Letter discusses evidence linking MST1R to nonsyndromic tetralogy of Fallot, including genetic and functional evidence from iPSC-derived cardiomyocytes.
DOI: 10.1007/s43657-024-00203-8
@phenomics.bsky.social🧬 A Phenomics study introduces UBHDD to separate genetic and non-genetic dimensions of phenotype space, applied to yeast traits and UK Biobank brain phenotypes.
DOI: 10.1007/s43657-024-00195-5
@phenomics.bsky.social☀️ A Phenomics MR study links genetically predicted ease of skin tanning with lower risks of basal cell carcinoma and cutaneous squamous cell carcinoma.
DOI: 10.1007/s43657-024-00174-w
@phenomics.bsky.social🦠 NetNiche integrates prior knowledge with graph learning to infer microbe–metabolite and microbe–microbe interactions, showing improved performance over several established methods in microbiome datasets.
DOI: 10.1007/s43657-024-00168-8
@phenomics.bsky.social🧬 A Phenomics MR study finds genetically predicted ALS associated with reduced colorectal cancer risk in East Asian datasets, while no causal association was found with overall cancer or most other cancers.
DOI: 10.1007/s43657-024-00159-9
@phenomics.bsky.social🧬 A novel IHH c.331_333del mutation identified in a fetus with brachydactyly type A1 causes IHH protein maturation failure, providing new insights into the genetic and molecular basis of BDA1.
@phenomics.bsky.social🧬 A Phenomics article highlights GlycoQuant and the clinical potential of site-specific quantitative N-glycoproteomics, offering greater molecular resolution for studying disease-related glycosylation and biomarkers.
@phenomics.bsky.social🫁 A Phenomics study of 839 Chinese lung cancer patients finds that MBD4 polymorphism rs140693 is associated with prognosis, highlighting its potential as a genetic marker for individualized prognostic assessment.
