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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 Cerro de Pasco, Peru, altitude 4338 m.

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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_Cerro_de_Pasco_Peru_altitude_4338_m_/600765
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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 at altitude (A). In univariate linear regression model, PDP2 is found to be the most significant predictor of CMS-sc (highlighted). 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 CMS-sc. PDP2 is the phosphatase that de-phosphorylates the E1-alpha subunit of pyruvate dehydrogenase which promotes pyruvate entry into the Krebs cycle, The STB is the standardized estimate for the parameter estimate of an explanatory variable in the logistic regression model and is computed by multiplying the estimate by the sample standard deviation for the explanatory variable and dividing by π/√3 [Ref. SAS 9.1; On Line Help] (For glossary of terms see Text S1).
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2008-06-04
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