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Genome-wide association study of high-altitude pulmonary edema in a Han Chinese population.


ABSTRACT: A two-stage genome-wide association study (GWAS) was performed to identify and analyze genes and single nucleotide polymorphisms (SNPs) associated with high-altitude pulmonary edema (HAPE) in a Han Chinese patient population. In the first stage, DNA samples from 68 patients with recurrent HAPE were scanned using Affymetrix SNP Array 6.0 Chips, and allele frequencies were compared to those of 84 HapMap CHB samples to identify candidate SNPs. In the second stage, the 77 identified candidate SNPs were examined in an independent cohort of samples from 199 HAPE patients and 304 controls. Associations between SNPs and HAPE risk were tested using various genetic models. Of the 77 original SNPs, 7 were found to be associated with HAPE susceptibility in the second stage of the study. GO and pathway enrichment analysis of the 7 SNPs revealed 5 adjacent genes involved in various processes, including regulation of nucleoside diphosphate metabolism, thyroid hormone catabolism, and low-density lipoprotein receptor activity. These results suggest the identified SNPs and genes may contribute to the physiopathology of HAPE.

SUBMITTER: Li X 

PROVIDER: S-EPMC5458230 | biostudies-literature | 2017 May

REPOSITORIES: biostudies-literature

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Genome-wide association study of high-altitude pulmonary edema in a Han Chinese population.

Li Xun X   Jin Tianbo T   Zhang Mingxia M   Yang Hua H   Huang Xuewen X   Zhou Xiaobo X   Huang Wenchao W   Qin Lipeng L   Kang Longli L   Fan Ming M   Li Suzhi S  

Oncotarget 20170501 19


A two-stage genome-wide association study (GWAS) was performed to identify and analyze genes and single nucleotide polymorphisms (SNPs) associated with high-altitude pulmonary edema (HAPE) in a Han Chinese patient population. In the first stage, DNA samples from 68 patients with recurrent HAPE were scanned using Affymetrix SNP Array 6.0 Chips, and allele frequencies were compared to those of 84 HapMap CHB samples to identify candidate SNPs. In the second stage, the 77 identified candidate SNPs w  ...[more]

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