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Whole-Genome Sequencing Uncovers the Genetic Basis of Chronic Mountain Sickness in Andean Highlanders
Abstract
The hypoxic conditions at high altitudes present a challenge for survival, causing pressure for adaptation. Interestingly, many high-altitude denizens (particularly in the Andes) are maladapted, with a condition known as chronic mountain sickness (CMS) or Monge disease. To decode the genetic basis of this disease, we sequenced and compared the whole genomes of 20 Andean subjects (10 with CMS and 10 without). We discovered 11 regions genome-wide with significant differences in haplotype frequencies consistent with selective sweeps. In these regions, two genes (an erythropoiesis regulator, SENP1, and an oncogene, ANP32D) had a higher transcriptional response to hypoxia in individuals with CMS relative to those without. We further found that downregulating the orthologs of these genes in flies dramatically enhanced survival rates under hypoxia, demonstrating that suppression of SENP1 and ANP32D plays an essential role in hypoxia tolerance. Our study provides an unbiased framework to identify and validate the genetic basis of adaptation to high altitudes and identifies potentially targetable mechanisms for CMS treatment.
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Polymorphisms in SENP1 have been correlated with chronic mountain sickness but not with lipid-related diseases as of yet.
“Polymorphisms in SENP1 have been correlated with chronic mountain sickness (44, 45) but not with lipid-related diseases as of yet.”
From SUMOylation of the ubiquitin ligase IDOL decreases LDL receptor levels and is reversed by SENP1 (2021) · cites this paper as [44]
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Cites
A second generation human haplotype map of over 3.1 million SNPs
The International HapMap Consortium (2007) · Nature · doi:10.1038/nature06258 · Cited by 4,438
Sequencing of 50 Human Exomes Reveals Adaptation to High Altitude
Yi, X., Liang, Y., Huerta-Sanchez, E., Jin, X., Cuo, Z. X. P., Pool, J. E., Xu, X., Jiang, H., Vinckenbosch, N., Korneliussen, T. S., et al. (2010) · Science · doi:10.1126/science.1190371 · Cited by 1,611
Self-citationPrabhakar, N. R., & Semenza, G. L. (2012) · Physiological Reviews · doi:10.1152/physrev.00030.2011 · Cited by 641
Bigham, A., Bauchet, M., Pinto, D., Mao, X., Akey, J. M., Mei, R., Scherer, S. W., Julian, C. G., Wilson, M. J., López Herráez, D., et al. (2010) · PLoS Genetics · doi:10.1371/journal.pgen.1001116 · Cited by 597
Pathophysiology and epidemiology of chronic mountain sickness
Monge-C, C., Arregui, A., & León-Velarde, F. (1992) · International Journal of Sports Medicine · doi:10.1055/s-2007-1024603 · Cited by 153
Flagged first, then by citations
Research works printed but not linked: 57
- Beall, 2006, Andean, Tibetan, and Ethiopian patterns of adaptation to high-altitude hypoxia, Integr. Comp. Biol., 46, 18, 10.1093/icb/icj004 · DOI
- Erzurum, 2007, Higher blood flow and circulating NO products offset high-altitude hypoxia among Tibetans, Proc. Natl. Acad. Sci. USA, 104, 17593, 10.1073/pnas.0707462104 · DOI
- Moore, 2001, Human genetic adaptation to high altitude, High Alt. Med. Biol., 2, 257, 10.1089/152702901750265341 · DOI
- Niermeyer, 1995, Arterial oxygen saturation in Tibetan and Han infants born in Lhasa, Tibet, N. Engl. J. Med., 333, 1248, 10.1056/NEJM199511093331903 · DOI
- Beall, 2000, Tibetan and Andean patterns of adaptation to high-altitude hypoxia, Hum. Biol., 72, 201
- Frisancho, 1997, Developmental, genetic, and environmental components of lung volumes at high altitude, Am. J. Hum. Biol., 9, 191, 10.1002/(SICI)1520-6300(1997)9:2<191::AID-AJHB5>3.0.CO;2-3 · DOI
- Lorenzo, 2009, Genetic adaptation to extreme hypoxia: study of high-altitude pulmonary edema in a three-generation Han Chinese family, Blood Cells Mol. Dis., 43, 221
- Bigham, 2009, Identifying positive selection candidate loci for high-altitude adaptation in Andean populations, Hum. Genomics, 4, 79, 10.1186/1479-7364-4-2-79 · DOI
- Simonson, 2010, Genetic evidence for high-altitude adaptation in Tibet, Science, 329, 72, 10.1126/science.1189406 · DOI · Paper page
- Xu, 2011, A genome-wide search for signals of high-altitude adaptation in Tibetans, Mol. Biol. Evol., 28, 1003, 10.1093/molbev/msq277 · DOI · Paper page
- Ji, 2012, Genetic adaptation of the hypoxia-inducible factor pathway to oxygen pressure among eurasian human populations, Mol. Biol. Evol., 29, 3359, 10.1093/molbev/mss144 · DOI
- León-Velarde, 2003, Proposal for scoring severity in chronic mountain sickness (CMS). Background and conclusions of the CMS Working Group, Adv. Exp. Med. Biol., 543, 339, 10.1007/978-1-4419-8997-0_24 · DOI
- Xing, 2008, Adaptation and mal-adaptation to ambient hypoxia; Andean, Ethiopian and Himalayan patterns, PLoS ONE, 3, e2342, 10.1371/journal.pone.0002342 · DOI
- Beall, 2002, An Ethiopian pattern of human adaptation to high-altitude hypoxia, Proc. Natl. Acad. Sci. USA, 99, 17215, 10.1073/pnas.252649199 · DOI
- Li, 2009, Fast and accurate short read alignment with Burrows-Wheeler transform, Bioinformatics, 25, 1754, 10.1093/bioinformatics/btp324 · DOI · Paper page
- DePristo, 2011, A framework for variation discovery and genotyping using next-generation DNA sequencing data, Nat. Genet., 43, 491, 10.1038/ng.806 · DOI
- McKenna, 2010, The Genome Analysis Toolkit: a MapReduce framework for analyzing next-generation DNA sequencing data, Genome Res., 20, 1297, 10.1101/gr.107524.110 · DOI · Paper page
- Fu, 1995, Statistical properties of segregating sites, Theor. Popul. Biol., 48, 172, 10.1006/tpbi.1995.1025 · DOI
- Achaz, 2009, Frequency spectrum neutrality tests: one for all and all for one, Genetics, 183, 249, 10.1534/genetics.109.104042 · DOI
- Udpa, 2011, Tests of selection in pooled case-control data: an empirical study, Front Genet, 2, 83, 10.3389/fgene.2011.00083 · DOI
- Holsinger, 2009, Genetics in geographically structured populations: defining, estimating and interpreting F(ST), Nat. Rev. Genet., 10, 639, 10.1038/nrg2611 · DOI
- Hudson, 1992, Estimation of levels of gene flow from DNA sequence data, Genetics, 132, 583, 10.1093/genetics/132.2.583 · DOI
- Cavalli-Sforza, L. (1969). Human diversity. Proceedings of the 12th International Congress in Genetics 2, 405–416.
- Shriver, 2004, The genomic distribution of population substructure in four populations using 8,525 autosomal SNPs, Hum. Genomics, 1, 274, 10.1186/1479-7364-1-4-274 · DOI
- Purcell, 2007, PLINK: a tool set for whole-genome association and population-based linkage analyses, Am. J. Hum. Genet., 81, 559, 10.1086/519795 · DOI · Paper page
- 2010, A map of human genome variation from population-scale sequencing, Nature, 467, 1061, 10.1038/nature09534 · DOI · Paper page
- Alexander, 2009, Fast model-based estimation of ancestry in unrelated individuals, Genome Res., 19, 1655, 10.1101/gr.094052.109 · DOI · Paper page
- Emigh, 1980, A comparison of tests for Hardy-Weinberg equilibrium, Biometrics, 36, 627, 10.2307/2556115 · DOI
- García, 2009, Phosphofructo-1-kinase deficiency leads to a severe cardiac and hematological disorder in addition to skeletal muscle glycogenosis, PLoS Genet., 5, e1000615, 10.1371/journal.pgen.1000615 · DOI
- Yu, 2010, SENP1-mediated GATA1 deSUMOylation is critical for definitive erythropoiesis, J. Exp. Med., 207, 1183, 10.1084/jem.20092215 · DOI
- Cheng, 2007, SUMO-specific protease 1 is essential for stabilization of HIF1alpha during hypoxia, Cell, 131, 584, 10.1016/j.cell.2007.08.045 · DOI · Paper page
- Li, 2008, SENP1 mediates TNF-induced desumoylation and cytoplasmic translocation of HIPK1 to enhance ASK1-dependent apoptosis, Cell Death Differ., 15, 739, 10.1038/sj.cdd.4402303 · DOI
- De Maria, 1999, Negative regulation of erythropoiesis by caspase-mediated cleavage of GATA-1, Nature, 401, 489, 10.1038/46809 · DOI
- Boutin, 2008, Epidermal sensing of oxygen is essential for systemic hypoxic response, Cell, 133, 223, 10.1016/j.cell.2008.02.038 · DOI
- Michno, 2005, Modeling age-related diseases in Drosophila: can this fly?, Curr. Top. Dev. Biol., 71, 199, 10.1016/S0070-2153(05)71006-1 · DOI
- Grotewiel, 2005, Functional senescence in Drosophila melanogaster, Ageing Res. Rev., 4, 372, 10.1016/j.arr.2005.04.001 · DOI
- Lu, 2009, Recent advances in using Drosophila to model neurodegenerative diseases, Apoptosis, 14, 1008, 10.1007/s10495-009-0347-5 · DOI
- Lessing, 2009, Maintaining the brain: insight into human neurodegeneration from Drosophila melanogaster mutants, Nat. Rev. Genet., 10, 359, 10.1038/nrg2563 · DOI
- Diop, 2012, Drosophila as a model to study the genetic mechanisms of obesity-associated heart dysfunction, J. Cell. Mol. Med., 16, 966, 10.1111/j.1582-4934.2012.01522.x · DOI
- Polesello, 2011, Modeling cancers in Drosophila, Prog. Mol. Biol. Transl. Sci., 100, 51, 10.1016/B978-0-12-384878-9.00002-9 · DOI
- Vidal, 2006, Drosophila models for cancer research, Curr. Opin. Genet. Dev., 16, 10, 10.1016/j.gde.2005.12.004 · DOI
- Zhou, 2009, Drosophila, a golden bug, for the dissection of the genetic basis of tolerance and susceptibility to hypoxia, Pediatr. Res., 66, 239, 10.1203/PDR.0b013e3181b27275 · DOI
- Bier, 2005, Drosophila, the golden bug, emerges as a tool for human genetics, Nat. Rev. Genet., 6, 9, 10.1038/nrg1503 · DOI
- Pandey, 2011, Human disease models in Drosophila melanogaster and the role of the fly in therapeutic drug discovery, Pharmacol. Rev., 63, 411, 10.1124/pr.110.003293 · DOI
- Gilbert, 2008, Drosophila is an inclusive model for human diseases, growth and development, Mol. Cell. Endocrinol., 293, 25, 10.1016/j.mce.2008.02.009 · DOI
- McQuilton, 2012, FlyBase 101—the basics of navigating FlyBase, Nucleic Acids Res., 40, D706, 10.1093/nar/gkr1030 · DOI
- Hu, 2011, An integrative approach to ortholog prediction for disease-focused and other functional studies, BMC Bioinformatics, 12, 357, 10.1186/1471-2105-12-357 · DOI · Paper page
- Fischer, 1988, GAL4 activates transcription in Drosophila, Nature, 332, 853, 10.1038/332853a0 · DOI
- Brand, 1993, Targeted gene expression as a means of altering cell fates and generating dominant phenotypes, Development, 118, 401, 10.1242/dev.118.2.401 · DOI
- Dietzl, 2007, A genome-wide transgenic RNAi library for conditional gene inactivation in Drosophila, Nature, 448, 151, 10.1038/nature05954 · DOI · Paper page
- Zhou, 2007, Experimental selection for Drosophila survival in extremely low O(2) environment, PLoS ONE, 2, e490, 10.1371/journal.pone.0000490 · DOI
- Azad, 2012, Identification of genes underlying hypoxia tolerance in Drosophila by a P-element screen, G3 (Bethesda), 2, 1169, 10.1534/g3.112.003681 · DOI
- Rupert, 2001, Genetic approaches to understanding human adaptation to altitude in the Andes, J. Exp. Biol., 204, 3151, 10.1242/jeb.204.18.3151 · DOI
- Chen, 2010, Population differentiation as a test for selective sweeps, Genome Res., 20, 393, 10.1101/gr.100545.109 · DOI
- Monge, 1976, Chronic mountain sickness, Johns Hopkins Med. J., 139, 87
- Ergueta, 1971, Cardio-respiratory studies in chronic mountain sickness (Monge’s syndrome), Respiration, 28, 485, 10.1159/000192835 · DOI
- West, 2012, High-altitude medicine, Am. J. Respir. Crit. Care Med., 186, 1229, 10.1164/rccm.201207-1323CI · DOI
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Metadata
- Authors
- Zhou, D., Udpa, N., Ronen, R., Stobdan, T., Liang, J., Appenzeller, O., Zhao, H. W., Yin, Y., Du, Y., Guo, L., Cao, R., Wang, Y., Jin, X., Huang, C., Jia, W., Cao, D., Guo, G., Gamboa, J. L., Villafuerte, F., Callacondo, D., Xue, J., Liu, S., Frazer, K. A., Li, Y., Bafna, V., & Haddad, G. G.
- Venue
- The American Journal of Human Genetics
- Publisher
- Elsevier BV
- Published
- 2013-09
- Volume
- 93
- Issue
- 3
- Pages
- 452-462
- ISSN
- 0002-9297
- Cited by
- 129
- References
- 5
- Language
- en
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