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  1. 321

    Immune cell phenotype in endometrial cancer: from biological significance to clinical utility using Mendelian randomisation analysis by Lingfang Ye, Beilei Chen, Meng Cen, Qianya Lin

    Published 2025-12-01
    “…Background We investigated the relationship between immune cells and endometrial cancer by conducting a two-sample bidirectional Mendelian randomisation (MR) analysis.Methods MR uses genetic variation as an instrumental variable to study the causal effects of exposure on observed data outcomes. …”
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    Article
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    Effect of dietary diversity on depression and depressive symptoms: a systematic review and meta-analysis of cross-sectional studies by Amirhossein Nazarian, Farzad Shidfar, Afsaneh Dehnad, Hossein Shahinfar

    Published 2025-07-01
    “…Conclusions This systematic review and meta-analysis showed that a higher DD is inversely associated with depression. …”
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  4. 324

    IL-20RA is Associated with the Risk of Diabetic Microangiopathy: A Bidirectional Mendelian Randomization Analysis and Clinical Validation by Li J, Yang H, Wang T, Ruan N, Lin Y, Fang Z

    Published 2024-12-01
    “…This study aimed to investigate whether altered genetically predicted concentrations of circulating inflammatory cytokines were associated with the development of diabetic microvascular complications using two-sample Mendelian randomization (MR) analysis and clinical validation.Methods: Pooled data on diabetic nephropathy, diabetic retinopathy, diabetic neuropathy, and 91 circulating inflammatory cytokines were obtained from publicly available databases. …”
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    Causal relationships between the gut microbiota, inflammatory cytokines, and alcoholic liver disease: a Mendelian randomization analysis by Shanzheng Li, Shanzheng Li, Cheng Zhou, Tong Liu, Tong Liu, Lihui Zhang, Sutong Liu, Qing Zhao, Jiangkai Liu, Wenxia Zhao

    Published 2024-10-01
    “…ObjectivePrevious studies have suggested a potential association between gut microbiota and the development of alcohol-related liver disease (ALD). …”
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  10. 330

    Effects of maternal anemia on low-birth-weight in Sub-Sahara African countries: Systematic review and meta-analysis. by Nigus Kabtu Belete, Abebe Gedefaw Belete, Darik Temesgen Assefa, Muluken Bekele Sorrie, Manaye Yihune Teshale

    Published 2025-01-01
    “…Heterogeneity was assessed with forest plots and the Inverse variance (I2) test. Subgroup analysis, sensitivity analysis, and meta-regression were performed to explore sources of heterogeneity, while funnel plot symmetry was evaluated for publication bias. …”
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  11. 331

    Recurrence Metrics for Assessing Eye Movements in Perceptual Experiments by Susan Farnand, Preethi Vaidyanathan, Jeff B. Pelz

    Published 2016-05-01
    “…In a recent study evaluating the impact of image content on the consistency of eye movements in perceptual experiments (Farnand, 2013) image complexity was inversely related to scanpath consistency. This work involved a qualitative analysis of eye movements along with analysis of the number and duration of fixations. …”
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  12. 332

    Prevalence of molecular markers of chloroquine resistance in malaria parasites in East Africa: A systematic review and meta-analysis by Wagaw Abebe, Amare Mekuanint, Zelalem Asmare, Dagmawi Woldesenbet, Yenesew Mihret, Abebaw Setegn, Tadele Emagneneh

    Published 2025-03-01
    “…Results: A total of 20 studies were included for this systematic review and meta-analysis. The molecular markers like K76T, 76T, N86Y, Y184F, and 86Y were selected for meta-analysis. …”
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    Article
  13. 333

    A bidirectional Mendelian randomization study integrating genome-wide association studies, expression quantitative trait locus, and methylation quantitative trait locus data reveal... by Zhou An, Meichun Zeng, Xianhua Wang

    Published 2025-02-01
    “…Background: The association between smoking dependence and the risk of developing Barrett’s esophagus remains unclear. This study aimed to investigate whether a causal relationship exists between smoking dependence and Barrett’s esophagus, using Mendelian randomization analysis. …”
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  14. 334

    Mendelian randomization analysis: The causal relationship between C-reactive protein and amyloidosis and between C-reactive protein and atherosclerosis. by Chunhui Liu, Xupeng Huang, Yongsheng Huang, Hongguang Jin

    Published 2025-01-01
    “…<h4>Methods</h4>We used genomic pooled data from the Genome-Wide Association Study (GWAS) in a two-sample, two-way Mendelian randomization (MR) analysis study. …”
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  15. 335

    Application of a number of physical and chemical analysis methods the assessment of a multicomponent sample composition of natural water by L. V. Trubacheva, S. Yu. Lohaninа, T. I. Belova

    Published 2020-09-01
    “…The authors present experimental data on the development of a special sample in the form of a dispersed material that simulates the mineral macro-component composition of natural surface water. …”
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  16. 336

    IMAGE PROCESSING AT ELLIPSOIDAL PHOTOMETRY by M. A. Bezuglyi, N. V. Bezuglaya, A. B. Samilyak

    Published 2016-06-01
    “…Ellipsoidal photometry using Charge-Coupled Device (CCD photometry), as a new kind of optical diagnostics of scattering media in reflected and/or transmitted light, requires the development of specific principles of data analysis. …”
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  17. 337

    Mendelian randomization study of lipid species reveals causal relationship with syphilis by Weifeng Shen, Hui Zhou, Wei Wang, Wei Li

    Published 2025-04-01
    “…For the purpose of sensitivity analysis, techniques such as Inverse Variance Weighted, MR-Egger, the MR Steiger test, the MR-Egger Intercept Test, and MR-PRESSO were applied. …”
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    Comparative analysis of Sentinel-2 and PlanetScope imagery for chlorophyll-a prediction using machine learning models by Eden T. Wasehun, Leila Hashemi Beni, Courtney A. Di Vittorio, Christopher M. Zarzar, Kyana R.L. Young

    Published 2025-03-01
    “…This study contributes valuable insights into the difference between two satellite sensors with varying spatial resolution in assessing inland water quality and offers a comparative analysis of multiple inversion methods. The outcomes of our research provide guidance for enhancing inland water quality monitoring practices on small water bodies, emphasizing the importance of selecting optimal inversion models based on satellite data sources. …”
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