AIMC Topic: Mendelian Randomization Analysis

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Deep Learning of the Retina Enables Phenome- and Genome-Wide Analyses of the Microvasculature.

Circulation Nov 8, 2021
BACKGROUND: The microvasculature, the smallest blood vessels in the body, has key roles in maintenance of organ health and tumorigenesis. The retinal fundus is a window for human in vivo noninvasive assessment of the microvasculature. Large-scale com...
Genome-Wide Association Study Retina Genomics Humans Male Microvessels Mendelian Randomization Analysis Female Middle Aged Deep Learning
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A flexible machine learning Mendelian randomization estimator applied to predict the safety and efficacy of sclerostin inhibition.

American journal of human genetics Jun 5, 2025
Mendelian randomization (MR) enables the estimation of causal effects while controlling for unmeasured confounding factors. However, traditional MR's reliance on strong parametric assumptions can introduce bias if these are violated. We describe a ma...
Osteoporosis Humans Mendelian Randomization Analysis Machine Learning Female Cardiovascular Diseases Cholesterol, LDL Bone Density Male Polymorphism, Single Nucleotide Genetic Markers Adaptor Proteins, Signal Transducing
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Exploring the potential biomarkers and potential causality of Ménière disease based on bioinformatics and machine learning.

Medicine May 9, 2025
Meniere disease (MD) is a common inner ear disorder closely related to immune abnormalities, but research on the characteristic genes between MD and immune responses is still insufficient. We employ bioinformatics and machine learning to predict pote...
Meniere Disease Protein Interaction Maps Computational Biology Humans Machine Learning Mendelian Randomization Analysis Biomarkers
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Investigating the Link between Type 2 Diabetes and Epstein-Barr Virus: a Machine Learning and Mendelian Randomization.

Clinical laboratory May 1, 2025
BACKGROUND: Epstein-Barr virus (EBV) is a ubiquitous herpesvirus that is known to cause infectious mononucleosis and is associated with several autoimmune diseases and cancers through immune system dysregulation and chronic inflammatory mechanisms.
Humans Machine Learning Immunoglobulin G Antibodies, Viral Herpesvirus 4, Human DNA, Viral Male Female Mendelian Randomization Analysis Middle Aged Epstein-Barr Virus Infections Adult Diabetes Mellitus, Type 2
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Identification of a telomere-related gene signature for the prognostic and immune landscape prediction in head and neck squamous cell carcinoma by integrated analysis of machine learning and Mendelian randomization.

Medicine Apr 18, 2025
Telomere-related genes (TRGs) are vital in diverse tumor types. Nevertheless, there is a notable lack of in-depth research concerning their significance in head and neck squamous cell carcinoma (HNSCC). In this context, the present study aims to asse...
Prognosis Telomere Male Humans Head and Neck Neoplasms Female Middle Aged Machine Learning Mendelian Randomization Analysis Biomarkers, Tumor Squamous Cell Carcinoma of Head and Neck
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Identification of biomarkers for endometriosis based on summary-data-based Mendelian randomization and machine learning.

Medicine Apr 4, 2025
Endometriosis (EM) significantly impacts the quality of life, and its diagnosis currently relies on surgery, which carries risks and may miss early lesions. Noninvasive biomarkers are urgently needed for early diagnosis and personalized treatment. Th...
Biomarkers Humans Mendelian Randomization Analysis Machine Learning Female Endometriosis Genome-Wide Association Study
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Identifying Lipid Metabolism-Related Therapeutic Targets and Diagnostic Markers for Lung Adenocarcinoma by Mendelian Randomization and Machine Learning Analysis.

Thoracic cancer Mar 1, 2025
BACKGROUND: Lipid metabolic disorders are emerging as a recognized influencing factors of lung adenocarcinoma (LUAD). This study aims to investigate the influence of lipid metabolism-related genes (LMRGs) on the diagnosis and treatment of LUAD and to...
Adenocarcinoma of Lung Mendelian Randomization Analysis Lipid Metabolism Machine Learning Biomarkers, Tumor Lung Neoplasms Humans
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Identifying Common Diagnostic Biomarkers and Therapeutic Targets between COPD and Sepsis: A Bioinformatics and Machine Learning Approach.

International journal of chronic obstructive pulmonary disease Jan 1, 2025
BACKGROUND: Evidence suggests a bidirectional association between chronic obstructive pulmonary disease (COPD) and sepsis, but the underlying mechanisms remain unclear. This study aimed to explore shared diagnostic genes, potential mechanisms, and th...
Genome-Wide Association Study Gene Regulatory Networks Genetic Predisposition to Disease Gene Expression Profiling Sepsis Computational Biology Predictive Value of Tests Mendelian Randomization Analysis Humans Biomarkers Machine Learning Pulmonary Disease, Chronic Obstructive Molecular Docking Simulation
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Identification and validation of potential genes for the diagnosis of sepsis by bioinformatics and 2-sample Mendelian randomization study.

Medicine Jul 19, 2024
This integrated study combines bioinformatics, machine learning, and Mendelian randomization (MR) to discover and validate molecular biomarkers for sepsis diagnosis. Methods include differential expression analysis, weighted gene co-expression networ...
Sepsis ROC Curve Humans Computational Biology Nomograms Machine Learning Mendelian Randomization Analysis Biomarkers
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