ArticlePhenomics (Cham, Switzerland)2021
Using Composite Phenotypes to Reveal Hidden Physiological Heterogeneity in High-Altitude Acclimatization in a Chinese Han Longitudinal Cohort.
Article in Phenomics (Cham, Switzerland), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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12 citing papers in PubMed, 19 citations in OpenAlex.
- Differences in Pathogenetic Mechanism Between Tibetan and Han High-Altitude Polycythemia Based on a Whole Genome-Wide Association Study.Phenomics (Cham, Switzerland) · 2025Article
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- Role of immune cell homeostasis in research and treatment response in hepatocellular carcinoma.Clinical and experimental medicine · 2025Article
- Assessing and mitigating batch effects in large-scale omics studies.Genome biology · 2024Review
- Multi-omics data integration using ratio-based quantitative profiling with Quartet reference materials.Nature biotechnology · 2024Article
- Recent advances in predicting acute mountain sickness: from multidimensional cohort studies to cutting-edge model applications.Frontiers in physiology · 2024Review
- Phenomic Studies on Diseases: Potential and Challenges.Phenomics (Cham, Switzerland) · 2023Review
- The composite phenotype analysis identifies potential concerted responses of physiological systems to high altitude exposure.National science review · 2023Article
- Proteomic and clinical biomarkers for acute mountain sickness in a longitudinal cohort.Communications biology · 2022Article
- Phenotype correlations reveal the relationships of physiological systems underlying human ageing.Aging cell · 2021Article
- CDC20 regulates the cell proliferation and radiosensitivity of P53 mutant HCC cells through the Bcl-2/Bax pathway.International journal of biological sciences · 2021Article
- Malignant Tumor Purity Reveals the Driven and Prognostic Role ofFrontiers in oncology · 2021Article
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Authors and funding
18 authors at 4 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Altitude acclimatization is a human physiological process of adjusting to the decreased oxygen availability. Since several physiological processes are involved and their correlations are complicated, the analyses of single traits are insufficient in revealing the complex mechanism of high-altitude acclimatization. In this study, we examined these physiological responses as the composite phenotypes that are represented by a linear combination of physiological traits. We developed a strategy that combines both spectral clustering and partial least squares path modeling (PLSPM) to define composite phenotypes based on a cohort study of 883 Chinese Han males. In addition, we captured 14 composite phenotypes from 28 physiological traits of high-altitude acclimatization. Using these composite phenotypes, we applied k-means clustering to reveal hidden population physiological heterogeneity in high-altitude acclimatization. Furthermore, we employed multivariate linear regression to systematically model (Models 1 and 2) oxygen saturation (SpO
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