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Updated: Apr 23, 2026

Determining the Likelihood of Variant Pathogenicity Using Amino Acid-level Signal-to-Noise Analysis of Genetic Variation
Published on: January 16, 2019
Genetic variation in SENP1 and ANP32D as predictors of chronic mountain sickness
Amy M Cole1, Nayia Petousi, Gianpiero L Cavalleri
11 Department of Molecular and Cellular Therapeutics, The Royal College of Surgeons in Ireland , Dublin, Ireland .
Abstract:
Chronic mountain sickness (CMS) is a serious illness that affects life-long high-altitude residents. A recent study analyzed whole genome sequence data from residents of Cerro de Pasco (Peru) in an effort to identify the genetic basis of CMS and reported SENP1 (rs7963934) and ANP32D (rs72644851) to show signatures consistent with natural selection and protective against CMS (Zhou et al. 2013 ). We set out to replicate these observations in two Andean cohorts from Cerro de Pasco, consisting of 84 CMS cases and 91 healthy controls in total. We report evidence of association for rs7963934 (SENP1) in the combined cohorts (meta-analysis p=8.8x10(-4) OR 2.91, CI 1.56-5.5, I=0). The direction of effect was the same as in the original publication. We did not observe any significant correlation between rs72644851 (ANP32D) and the CMS phenotype, within or across cohorts (meta-analysis p=0.204, OR 1.37, CI 0.84-2.241, I=0). Our results provide independent evidence in support of a role for SENP1 in CMS in individuals of Quechua ancestry and suggest the SENP1 and ANP32D signatures of selection are in tight linkage disequilibrium (LD).
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