Literature DB >> 30762612

Genetic profiling for disease stratification in chronic obstructive pulmonary disease and asthma.

Senani N H Rathnayake1, Maarten Van den Berge2,3, Alen Faiz1,2,3.   

Abstract

PURPOSE OF REVIEW: In asthma and chronic obstructive pulmonary disease (COPD), the movement towards genetic profiling with a push towards 'personalized medicine' has been hindered by complex environment--gene interactions and lack of tools to identify clear causal genetic traits. In this review, we will discuss the need for genetic profiling in asthma and COPD, what methods are currently used in the clinics and the recent finding using new sequencing methods. RECENT
FINDINGS: Over the past 10-15 years, genome-wide association studies analysis of common variants has provide little in the way of new genetic profiling markers for asthma and COPD. Whole exome/genome sequencing has provided a new method to identify lowly abundant alleles, which might have a much higher impact. Although, low population numbers due to high costs has hindered early studies, recent studies have reached genome wide significance.
SUMMARY: The use of genetic profiling of COPD in the clinic is current limited to the identification of Alpha-1 antitrypsin deficiency, while being absent in asthma. Advances in sequencing technology provide new avenues to identify disease causes or therapy response altering variants that in the short-term will allow for the development of screening procedures for disease to identify patients at risk of developing asthma or COPD.

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Year:  2019        PMID: 30762612     DOI: 10.1097/MCP.0000000000000568

Source DB:  PubMed          Journal:  Curr Opin Pulm Med        ISSN: 1070-5287            Impact factor:   3.155


  3 in total

1.  Gene expression profiling of bronchial brushes is associated with the level of emphysema measured by computed tomography-based parametric response mapping.

Authors:  Senani N H Rathnayake; Firdaus A A Mohamed Hoesein; Craig J Galban; Nick H T Ten Hacken; Brian G G Oliver; Maarten van den Berge; Alen Faiz
Journal:  Am J Physiol Lung Cell Mol Physiol       Date:  2020-04-22       Impact factor: 5.464

2.  Association of RAGE gene multiple variants with the risk for COPD and asthma in northern Han Chinese.

Authors:  Hongtao Niu; Wenquan Niu; Tao Yu; Feng Dong; Ke Huang; Ruirui Duan; Shiwei Qumu; Minya Lu; Yong Li; Ting Yang; Chen Wang
Journal:  Aging (Albany NY)       Date:  2019-05-29       Impact factor: 5.682

3.  Intelligent Monitoring of Care Status for COPD Patients Based on Deep Learning.

Authors:  Xiaoqun Chen; Yufen Yao
Journal:  Contrast Media Mol Imaging       Date:  2021-11-22       Impact factor: 3.161

  3 in total

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