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Genome-wide association study identifies ALLC polymorphisms correlated with FEV₁ change by corticosteroid. | LitMetric

Genome-wide association study identifies ALLC polymorphisms correlated with FEV₁ change by corticosteroid.

Clin Chim Acta

Department of Life Science, Sogang University, 35, Baekbeom-ro, Mapo-gu, Seoul 121-742, Republic of Korea; Department of Genetic Epidemiology, SNP Genetics, Inc., 35, Baekbeom-ro, Mapo-gu, Seoul 121-742, Republic of Korea. Electronic address:

Published: September 2014

AI Article Synopsis

  • * Researchers conducted a genome-wide association study in a Korean asthmatic population and identified potential genetic links, particularly with variations in the ALLC gene.
  • * While the main study did not meet strict significance criteria due to a small sample size, some variants from the ALLC gene showed promising associations with ICS response, indicating they may help predict treatment outcomes in Korean asthmatics.

Article Abstract

Objectives: Asthma can be suppressed by inhaled corticosteroids (ICS). However, response to ICS shows marked inter-individual variability. This study is aimed to identify the genetic variants associated with the change in the percentage of forced expiratory volume in 1second (%ΔFEV1) following ICS treatment.

Methods: A genome-wide association study was performed in a Korean asthmatic cohort. To further investigate these genetic associations, 11 additional single-nucleotide polymorphisms (SNPs) on the allantoicase (ALLC) gene were selected from the HapMap database and genotyped in the same asthmatic patients in the follow-up study.

Results: In a genome-wide study, we identified the lowest P-value in ALLC, but none of the SNPs met the genome-wide association criteria (P<1.0×10(-8)). However, among 25 SNPs on ALLC in the follow-up study, 6 variants showed significant associations with the mean %ΔFEV1 in the study subjects (P<3.73×10(-6)).

Conclusions: Although the associated signals could not overcome the genome-wide multiple correction due to small sample size (n=189), our results suggest that associated SNPs of ALLC might be genetic predictors of response to ICS, at least with respect to ΔFEV1 in Korean asthmatics.

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Source
http://dx.doi.org/10.1016/j.cca.2014.04.023DOI Listing

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