| Literature DB >> 20879059 |
Kyung Won Kim1, Ji Hyun Lee, Min Goo Lee, Kyung Hwan Kim, Myung Hyun Sohn, Kyu-Earn Kim.
Abstract
PURPOSE: Classic cystic fibrosis is now known part of cystic fibrosis transmembrane conductance regulator (CFTR)-related disorders. These include a wide spectrum, from multi-system disorders, such as cystic fibrosis, to mono-symptomatic conditions, such as chronic pancreatitis or congenital bilateral absence of the vas deferens. However, respiratory disease is considered typical for the multi system disorder, cystic fibrosis, and is the major cause of morbidity and mortality. The purpose of this study was to evaluate the potential effects of CFTR gene mutations in Korean children with asthma.Entities:
Mesh:
Substances:
Year: 2010 PMID: 20879059 PMCID: PMC2995957 DOI: 10.3349/ymj.2010.51.6.912
Source DB: PubMed Journal: Yonsei Med J ISSN: 0513-5796 Impact factor: 2.759
Clinical Characteristics of the Study Subjects
FEV1, forced expiratory volume in 1 second; FVC, forced vital capacity; FEF, forced expiratory flow; FEF25-75, forced expiratory flow between 25% and 75% of the FVC; PEF, peak expiratory flow.
*χ2 test or t-test were used where appropriate.
CFTR Genetic Variations Analyzed in This Study
CFTR, cystic fibrosis transmembrane conductance regulator.
Mutation names and nucleotide numbers are presented according to the Cystic Fibrosis Genetic Analysis Consortium (CFGAC) (http://www.genet.sickkids.on.ca/).
Frequency of CFTR Genetic Variations in Non-Asthma and Asthma Group
CFTR, cystic fibrosis transmembrane conductance regulator.
*p values were obtained by using the χ2 test or Fisher's exact test (expected cell value < 5) and the Q98R, I125T, A309, Q220X, and Q1291X variants were excluded from the table because of no frequency.
†TG10 and TG11 were regarded as wild-type (W) and TG12 and TG13 were regarded as mutant-type (M).
Frequency of CFTR Haplotypes in Non-Asthma and Asthma Group
CFTR, cystic fibrosis transmembrane conductance regulator.
Haplotypes were assembled using software based on the Bayesian algorithm (Haplotyper 2). Major haplotypes showing over 1% frequency in the non-asthma and asthma groups are presented in this table. Haplotype identification (ID) number swere assigned according to the frequency of haploid genes analyzed in this study. Differences between non-asthma and asthma groups were analyzed by the Chi-square analysis.
*TG10 and TG11 were regarded as wild-type and TG12 and TG13 were regarded as mutant-type.
†T6, T7, and T9 were regarded as wild-type.