Dataset Information

Genetic variation in SENP1 and ANP32D as predictors of chronic mountain sickness.

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).

SUBMITTER: Cole AM

PROVIDER: S-EPMC4273201 | biostudies-literature | 2014 Dec

REPOSITORIES: biostudies-literature

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Genetic variation in SENP1 and ANP32D as predictors of chronic mountain sickness.

Cole Amy M AM Petousi Nayia N Cavalleri Gianpiero L GL Robbins Peter A PA

High altitude medicine & biology 20141201 4

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 ...[more]

PMID: 25225945

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Project description:Individuals sojourning at high altitude (≥2,500m) often develop acute mountain sickness (AMS). However, substantial unexplained inter-individual variability in AMS severity exists. Untargeted metabolomics assays are increasingly used to identify novel biomarkers of susceptibility to illness, and to elucidate biological pathways linking environmental exposures to health outcomes. This study used untargeted nuclear magnetic resonance (NMR)-based metabolomics to identify urine metabolites associated with AMS severity during high altitude sojourn. Following a 21-day stay at sea level (SL; 55m), 17 healthy males were transported to high altitude (HA; 4,300m) for a 22-day sojourn. AMS symptoms measured twice daily during the first 5days at HA were used to dichotomize participants according to AMS severity: moderate/severe AMS (AMS; n=11) or no/mild AMS (NoAMS; n=6). Urine samples collected on SL day 12 and HA days 1 and 18 were analyzed using proton NMR tools and the data were subjected to multivariate analyses. The SL urinary metabolite profiles were significantly different (p≤0.05) between AMS vs. NoAMS individuals prior to high altitude exposure. Differentially expressed metabolites included elevated levels of creatine and acetylcarnitine, and decreased levels of hypoxanthine and taurine in the AMS vs. NoAMS group. In addition, the levels of two amino acid derivatives (4-hydroxyphenylpyruvate and N-methylhistidine) and two unidentified metabolites (doublet peaks at 3.33ppm and a singlet at 8.20ppm) were significantly different between groups at SL. By HA day 18, the differences in urinary metabolites between AMS and NoAMS participants had largely resolved. Pathway analysis of these differentially expressed metabolites indicated that they directly or indirectly play a role in energy metabolism. These observations suggest that alterations in energy metabolism before high altitude exposure may contribute to AMS susceptibility at altitude. If validated in larger cohorts, these markers could inform development of a non-invasive assay to screen individuals for AMS susceptibility prior to high altitude sojourn.

Dataset Information

Genetic variation in SENP1 and ANP32D as predictors of chronic mountain sickness.

Publications

Genetic variation in SENP1 and ANP32D as predictors of chronic mountain sickness.

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