Your browser doesn't support javascript.
loading
Autophagy related gene 5 polymorphism rs17587319 (C/G) in asthmatic patients in North Indian population.
Kaur, Sargeet; Jha, Durga; Khosla, Rajiv; Kaur, Manpreet; Parkash, Jyoti; Sharma, Arti; Changotra, Harish.
Afiliación
  • Kaur S; Department of Biotechnology and Bioinformatics, Jaypee University of Information Technology, Solan, Himachal Pradesh, India.
  • Arpna; Department of Molecular Biology and Biochemistry, Guru Nanak Dev University, Amritsar, Punjab, India.
  • Jha D; Department of Biotechnology and Bioinformatics, Jaypee University of Information Technology, Solan, Himachal Pradesh, India.
  • Khosla R; Department of Biotechnology, Doaba College Jalandhar, Punjab, India.
  • Kaur M; Department of Human Genetics, Guru Nanak Dev University, Amritsar, Punjab, India.
  • Parkash J; Centre for Animal Sciences, School of Basic and Applied Sciences, Central University of Punjab, Bathinda, India.
  • Sharma A; Department of Computational Biology, School of Biological Sciences, Central University of Punjab, Bathinda, Punjab, India.
  • Changotra H; Department of Molecular Biology and Biochemistry, Guru Nanak Dev University, Amritsar, Punjab, India.
J Asthma ; : 1-7, 2023 Nov 27.
Article en En | MEDLINE | ID: mdl-38009708
ABSTRACT

Objective:

Genetic background and environmental stimuli play an important role in asthma, which is an individual's hyper-responsiveness to these stimuli leading to airway inflammation. Autophagy Related Gene 5 (ATG5) plays a critical role in the autophagy pathway and has been shown to be involved in asthma. The genetic polymorphisms in the ATG5 have been reported to predispose individuals to asthma. The role of single nucleotide polymorphism rs17587319 (C/G) of ATG5 in asthma has not been studied so far.Materials and

methods:

In this study, we in silico analysed rs17587319 (C/G) using web-based tools Human Splice Finder (HSF) and RegulomeDB and further a case-control study was conducted that included 187 blood samples (94 asthmatic and 93 healthy controls).

Results:

In silico analysis suggested alteration of splicing signals by this intronic variant. The samples were genotyped by applying the PCR-RFLP method. The MAF obtained was 0.022 and 0.043 in healthy controls and asthmatic individuals, respectively. The statistical analysis revealed no association (allelic model, OR = 2.02, 95%CI = 0.59-6.83, p = 0.25; co-dominant model, OR = 2.06, 95%CI = 0.6-7.12, p = 0.24) of rs17587319 (C/G) with the susceptibility to asthma in the north Indian population.

Conclusions:

In conclusion, rs17587319 (C/G) of ATG5 does not predispose individuals to asthma in our part of the world. Further studies are needed including more number of samples to ascertain the role of this polymorphism in asthma.
Palabras clave

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: J Asthma Año: 2023 Tipo del documento: Article País de afiliación: India

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: J Asthma Año: 2023 Tipo del documento: Article País de afiliación: India
...