Publicación:
New insights into the genetic basis of monge's disease and adaptation to high-altitude

dc.contributor.author Stobdan T. es_PE
dc.contributor.author Akbari A. es_PE
dc.contributor.author Azad P. es_PE
dc.contributor.author Zhou D. es_PE
dc.contributor.author Poulsen O. es_PE
dc.contributor.author Appenzeller O. es_PE
dc.contributor.author Gonzales G.F. es_PE
dc.contributor.author Telenti A. es_PE
dc.contributor.author Wong E.H.M. es_PE
dc.contributor.author Saini S. es_PE
dc.contributor.author Kirkness E.F. es_PE
dc.contributor.author Craig Venter J. es_PE
dc.contributor.author Bafna V. es_PE
dc.contributor.author Haddad G.G. es_PE
dc.date.accessioned 2024-05-30T23:13:38Z
dc.date.available 2024-05-30T23:13:38Z
dc.date.issued 2017
dc.description.abstract Human high-altitude (HA) adaptation or mal-adaptation is explored to understand the physiology, pathophysiology, and molecular mechanisms that underlie long-term exposure to hypoxia. Here, we report the results of an analysis of the largest whole-genome-sequencing of Chronic Mountain Sickness (CMS) and nonCMS individuals, identified candidate genes and functionally validated these candidates in a genetic model system (Drosophila). We used PreCIOSS algorithm that uses Haplotype Allele Frequency score to separate haplotypes carrying the favored allele from the noncarriers and accordingly, prioritize genes associated with the CMS or nonCMS phenotype. Haplotypes in eleven candidate regions, with SNPs mostly in nonexonic regions, were significantly different between CMS and nonCMS subjects. Closer examination of individual genes in these regions revealed the involvement of previously identified candidates (e.g., SENP1) and also unreported ones SGK3, COPS5, PRDM1, and IFT122 in CMS. Remarkably, in addition to genes like SENP1, SGK3, and COPS5 which are HIF-dependent, our study reveals for the first time HIF-independent gene PRDM1, indicating an involvement of wider, nonHIF pathways in HA adaptation. Finally, we observed that down-regulating orthologs of these genes in Drosophila significantly enhanced their hypoxia tolerance. Taken together, the PreCIOSS algorithm, applied on a large number of genomes, identifies the involvement of both new and previously reported genes in selection sweeps, highlighting the involvement of multiple hypoxia response systems. Since the overwhelming majority of SNPs are in nonexonic (and possibly regulatory) regions, we speculate that adaptation to HA necessitates greater genetic flexibility allowing for transcript variability in response to graded levels of hypoxia.
dc.description.sponsorship Fondo Nacional de Desarrollo Científico y Tecnológico - Fondecyt
dc.identifier.doi https://doi.org/10.1093/molbev/msx239
dc.identifier.scopus 2-s2.0-85044962302
dc.identifier.uri https://hdl.handle.net/20.500.12390/712
dc.language.iso eng
dc.publisher Oxford University Press
dc.relation.ispartof Molecular Biology and Evolution
dc.rights info:eu-repo/semantics/openAccess
dc.rights.uri https://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subject animal model
dc.subject adaptation es_PE
dc.subject adult es_PE
dc.subject algorithm es_PE
dc.subject altitude disease es_PE
dc.subject animal experiment es_PE
dc.subject.ocde https://purl.org/pe-repo/ocde/ford#1.06.03
dc.title New insights into the genetic basis of monge's disease and adaptation to high-altitude
dc.type info:eu-repo/semantics/article
dspace.entity.type Publication
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