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Impact table to show the predicting power of specific hypoxia-related genes on CMS (CMS-score≥12) in our Andean subjects in Lima, Peru, altitude 150 m.

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NIAID Data Ecosystem2026-03-06 收录
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https://figshare.com/articles/dataset/_Impact_table_to_show_the_predicting_power_of_specific_hypoxia_related_genes_on_CMS_CMS_score_8805_12_in_our_Andean_subjects_in_Lima_Peru_altitude_150_m_/600717
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To assess the impact of specific genes on chronic mountain sickness-score (CMS-sc), using a sliding scale (continuous), we constructed an “impact table” for the combined (CMS & Controls) Cerro de Pasco groups while normoxic in Lima (sea level) (B). In univariate linear regression model, PDP2 is found to be the most significant predictor of CMS-sc (highlighted) even in normoxia. Adjusting for PDP2 eliminates the impact of the other genes on the CMS-sc (columns, ADJ for PDP2). However, adjusting PDP2 for each of the remaining genes, assayed here, strengthens the impact of PDP2 (columns, Adj. PDP2). This supports the importance of PDP2 in predicting the CMS-scores of our subjects while in Cerro de Pasco at altitude. (For glossary of terms see table 2 and Text S1).
创建时间:
2008-06-04
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