ArticleFrontiers in genetics2025
Shared genetic features inference among hypoxia-ischemia diseases in the presence of heterogenous omics data based on a novel risk assessment method.
Article in Frontiers in genetics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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Who cites it
2 citing papers in PubMed.
- The Role of Piezo Ion Channels in Pulmonary Hypertension.Pulmonary circulation · 2026Review
- Machine learning-based integration develops an immune-derived signature for diagnosing high-altitude pulmonary hypertension.Frontiers in medicine · 2025Article
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12 authors.
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Abstract
The hypoxia-ischemia (H-I) diseases share some common mechanisms which may help to delay the diseases' processing. However, the shared features are still unclear due to the lack of large scale high-quality multi - omics data that specifically target the same disease, population, and tissues/cells. In this study, we developed a novel risk assessment method to analyze four H-I diseases including eclampsia/preeclampsia (PE), pulmonary arterial hypertension (PAH), high-altitude polycythemia (HAPC), and ischemic stroke (IS). A combined new evaluation score was designed to integrate evaluation information from genomics, transcriptomics, proteomics, and metabolomics in previous researches. Genes were then divided into different groups according to their risk assessment score. The most significant group (direct biomarkers) contained genes with direct evidence of association to H-I disease:
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