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  1. 261

    Multi-Trait Phenotypic Analysis and Biomass Estimation of Lettuce Cultivars Based on SFM-MVS by Tiezhu Li, Yixue Zhang, Lian Hu, Yiqiu Zhao, Zongyao Cai, Tingting Yu, Xiaodong Zhang

    Published 2025-08-01
    “…To address the problems of traditional methods that rely on destructive sampling, the poor adaptability of fixed equipment, and the susceptibility of single-view angle measurements to occlusions, a non-destructive and portable device for three-dimensional phenotyping and biomass detection in lettuce was developed. …”
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    Article
  2. 262
  3. 263

    Comparison of Hearing Phenotypes Among Children With Congenital Cytomegalovirus and Other Non‐Cytomegalovirus Conditions by Shi Liang, Emily Huang, Jordan Stout, Candace Winterton, Chong Zhang, Bridget F. Dorsey, Angela Presson, Matthew Firpo, Albert Park

    Published 2025-04-01
    “…Abstract Objective Hearing phenotype of the congenital cytomegalovirus (cCMV)‐infected children with isolated sensorineural hearing loss (SNHL) may be distinct from other types of SNHL and may provide an alternative approach for diagnosis. …”
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    Article
  4. 264

    Association of genetic variants, protein domains, and phenotypes in the ZMIZ1 syndromic neurodevelopmental disorder by Kendall E. Cormier, Belle L. Kantor, Rajan K C, Xabier Blanco-Fernandez, Maria J. Galazo, Maria J. Galazo

    Published 2025-06-01
    “…Missense mutations in the Alanine-rich and TPR domains are predicted to alter the relative position of domains and ZMIZ1 3D configuration.ConclusionOverall, our study highlights the impact of mutations across ZMIZ1 domains and their association with distinct neurodevelopmental phenotypes in individuals with ZMIZ1 variants, which will lead to better interpretation of ZMIZ1 variants and diagnosis of patients with ZMIZ1 neurodevelopmental syndrome.…”
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  5. 265

    Deep representation learning of electrocardiogram reveals biological insights in cardiac phenotypes and cardiovascular diseases by Ming Wai Yeung, Rutger R. van de Leur, Jan Walter Benjamins, Melle B. Vessies, Bram Ruijsink, Esther Puyol-Antón, J. Peter van Tintelen, Niek Verweij, René van Es, Pim van der Harst

    Published 2025-08-01
    “…We found definitive associations of the latent factors to conduction, rhythm, and structural disorders (all p < 4.51 × 10−308) and additionally value in mortality prediction. Genome wide association study (GWAS) of the latent factors, revealed 170 genetic loci with 29 not previously associated with electrocardiographic phenotypes. …”
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  6. 266

    An assessment of the likely impact of strain-related phenotypic plasticity on hominin fossil species identification by M. Collard, S.J. Lycett

    Published 2009-07-01
    “…It has been proposed that strain-related phenotypic plasticity may be a major confounding factor in attributing hominin fossils to species. …”
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  7. 267

    Hybrid EMT Phenotype and Cell Membrane Tension Promote Colorectal Cancer Resistance to Ferroptosis by Xiaowei Wei, Yutong Ge, Yaolin Zheng, Sunyan Zhao, Yuhan Zhou, Yuhan Chang, Nuofan Wang, Xiumei Wang, Juan Zhang, Xuanchang Zhang, Liqiao Hu, Youhua Tan, Qiong Jia

    Published 2025-04-01
    “…However, the roles of distinct EMT phenotypes in ferroptosis remain an enigma. This study reports that 3D soft fibrin microenvironment confers colorectal cancer (CRC) cells hybrid EMT phenotype and high level of resistance to ferroptosis. …”
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    Article
  8. 268

    Identification of novel cytokine to judge the diagnosis and clinical phenotype of adult-onset Still’s disease by Shuhei Yoshida, Yuya Fujita, Tomohiro Koga, Haruki Matsumoto, Yuya Sumichika, Kenji Saito, Shuzo Sato, Tomoyuki Asano, Masao Kobayakawa, Masashi Mizokami, Masaya Sugiyama, Kiyoshi Migita

    Published 2025-01-01
    “…This study aimed to identify biomarkers to distinguish adult-onset Still’s disease (AOSD) and to predict disease phenotypes. In total, 49 patients diagnosed with AOSD and 200 patients with common diseases (controls) were included in the analysis. …”
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    Article
  9. 269

    Novel variant in WT1 gene associated with MGD and unique kidney disease phenotype by Heba A. Hassan, Inas Mazen, Mona K. Mekkawy, Aya Elaidy, Alaa Kamel, Mona L. Essawi

    Published 2025-03-01
    “…Computational studies were performed to predict the effect of novel variants. Results The studied patient had a de novo heterozygous novel variant in the WT1 gene. …”
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    Article
  10. 270

    Phenotypic characterization of spatial immune infiltration niches in non-small cell lung cancer by Anna Sandström Gerdtsson, Mattis Knulst, Johan Botling, Artur Mezheyeuski, Patrick Micke, Sara Ek

    Published 2023-12-01
    “…The immune microenvironment of non-small cell lung cancer (NSCLC) is heterogeneous, which impedes the prediction of response to immune checkpoint inhibitors. …”
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  11. 271

    Bioinformatics-Driven Optimization of Wheat Breeding by Integrating Genomic Data Analysis with Phenotypic Traits by Hussein Ramy Riad, Alkhafaij Mahdi Abdulkhudur, Madhavi Karanam

    Published 2025-01-01
    “…The purpose of this paper is to take the current synergistic benefits of genomic and phenotypic data for breeding methodologies and incorporate this into supporting global food security and sustainably growing agriculture. …”
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  12. 272

    Mediational effects of reading-related intermediate phenotypes from polygenic scores to reading skills by Alexandra Remon, Sara Mascheretti, Ivan Voronin, Bei Feng, Isabelle Ouellet-Morin, Mara Brendgen, Frank Vitaro, Philippe Robaey, Till F. M. Andlauer, Michel Boivin, Ginette Dionne

    Published 2025-08-01
    “…PGSs specifically targeting reading skills are essential for improved prediction and understanding of the complex etiology through which reading skills unfold during childhood. …”
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    Article
  13. 273

    The clinical spectrum associated with ERCC5 mutations: Is there a relationship between phenotype and genotype? by Jinpeng Zhang, Jiannan Ma, Yuanyuan Luo, Siqi Hong, Li Jiang, Tianyi Li

    Published 2024-12-01
    “…Abstract Mutations in the ERCC5 gene can lead to different clinical phenotypes, few articles have reported the clinical phenotypes in detail and explained the relationship between genotype and phenotype. …”
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  14. 274
  15. 275

    Effects of Feather-Pecking Phenotype on Physiological and Neurobiological Characteristics and Gut Microbiota Profile of Goslings by Mingfeng Wang, Yujiao Guo, Zhengfeng Cao, Qi Xu, Guohong Chen, Yang Chen

    Published 2025-07-01
    “…Three behavioral phenotypes were observed in goslings, including severe feather peckers (SFPs), victims of SFPs, and non-peckers (NFPs). …”
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  16. 276

    Clinical phenotype and functional influence of GRIN2A variants in epilepsy‐aphasia syndrome by Lu Zhang, Yiran Duan, Rui Ma, Jiaqi Han, Na Pan, Lehong Gao, Yuping Wang

    Published 2024-12-01
    “…Significance Our study expands the phenotypic and functional range of GRIN2A‐related disorders. …”
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    Article
  17. 277

    Cohort profile: The Applied Public-Private Research enabling OsteoArthritis Clinical Headway (IMI-APPROACH) study: a 2-year, European, cohort study to describe, validate and predict phenotypes of osteoarthritis using clinical, imaging and biochemical markers by Francis Berenbaum, Margreet Kloppenburg, Ida K Haugen, Paco M J Welsing, Floris P J G Lafeber, Francisco J Blanco, Ali Mobasheri, John Loughlin, Willem E van Spil, Eefje M van Helvoort, Mylène P Jansen, Marieke Loef, Jaume Bacardit, Christoph H Ladel, Anne C Bay-Jensen, Jonathan Larkin, Janneke Boere, Harrie H Weinans, Agnes Lalande, Anne C A Marijnissen

    Published 2020-07-01
    “…Based on the selection model, this cohort has a predicted higher chance of progression.Future plans Patients will visit the hospital again at 6, 12 and 24 months for physical examination, pain and general health questionnaires, collection of blood and urine, MRI scans, radiographs of knees and hands, CT scan of the knee, low radiation whole-body CT, HandScan, motion analysis and performance-based tests.After two years, data will show whether those patients with the highest probabilities for progression experienced disease progression as compared to those wit lower probabilities (model validation) and whether phenotypes/endotypes can be identified and predicted to facilitate targeted drug therapy.Trial registration number NCT03883568…”
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  18. 278
  19. 279

    Causal analysis of education attainment and brain structure in chronic obstructive pulmonary disease: a Mendelian randomization study by Shaochu Zheng, Xiaotong Liu, Jinliang Kong, Jing Luo

    Published 2025-07-01
    “…Then, we performed two-sample MR analyses between 3935 imaging-derived phenotypes (IDPs) and COPD, as well as between educational attainment and the IDPs. …”
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  20. 280

    Predictors of a metabolically unhealthy obesity by Yu. V. Burenkov, V. I. Shevtsova, O. N. Krasnorutskaya, Yu. A. Kotova

    Published 2025-03-01
    “…The concept of metabolically unhealthy obesity is characterized by altered levels of various biomarkers, the significance of which in the context of predicting a metabolically unhealthy phenotype remains to be studied. …”
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