Integrating Mendelian Randomization and Machine Learning to Identify Hypoxia-Related Diagnostic Biomarkers and Causal Relationship in COPD

Our findings identify <i>SLC2A1</i> as a causal and diagnostically relevant gene in COPD, offering novel insight into hypoxia-driven disease mechanisms and supporting future personalized therapeutic strategies.

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Publication Details

Journal
International Journal of COPD
Published
2025-09-01
DOI
https://doi.org/10.2147/copd.s524381
Primary Topic
Chronic Obstructive Pulmonary Disease (COPD) Research
Type
article
Field-Weighted Citation Impact
0.00
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article

Integrating Mendelian Randomization and Machine Learning to Identify Hypoxia-Related Diagnostic Biomarkers and Causal Relationship in COPD

Wenhui Fu, Yangli Liu, Renjie Li, Hai‐Ying Jin
1 links
International Journal of COPD
Chronic Obstructive Pulmonary Disease (COPD) Research
article

Integrating Mendelian Randomization and Machine Learning to Identify Hypoxia-Related Diagnostic Biomarkers and Causal Relationship in COPD

Wenhui Fu, Yangli Liu, Renjie Li, Hai‐Ying Jin
article en

Abstract

Our findings identify <i>SLC2A1</i> as a causal and diagnostically relevant gene in COPD, offering novel insight into hypoxia-driven disease mechanisms and supporting future personalized therapeutic strategies.

International Journal of COPDVol. Volume 20
Lishui City People's Hospital (CN)
Openalex Percentile: Top 65%
Chronic Obstructive Pulmonary Disease (COPD) Research
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