Genetic risk factors for the development of pulmonary disease identified by genome‐wide association. Issue 3 (13th November 2018)

• Record Type: Journal Article
• Authors: Hall, Robert; Hall, Ian P.; Sayers, Ian
• Is Part Of: Respirology. Volume 24:Issue 3(2019)
• Page Start: 204
• Page End: 214
• Publication Date: 2018-11-13
• Subjects: asthma -- chronic obstructive pulmonary disease -- genome‐wide association -- lung function; Respiratory organs -- Diseases -- Periodicals; Respiratory organs -- Periodicals; 612.2
• DOI: 10.1111/resp.13436
• Languages: English
• ISSNs: 1323-7799

Abstract

ABSTRACT: Chronic respiratory diseases are a major cause of morbidity and mortality. Asthma and chronic obstructive pulmonary disease (COPD) combined affect over 500 million people worldwide. While environmental factors are important in disease progression, asthma and COPD have long been known to be heritable with genetic components playing an important role in the risk of developing disease. Identification of genetic variation contributing to disease progression is important for a number of reasons including identification of risk alleles, understanding underlying disease mechanisms and development of novel therapies. Genome‐wide association studies (GWAS) have been successful in identifying many loci associated with lung function, COPD and asthma. In recent years, meta‐analyses and improved imputation have facilitated the growth of GWAS in terms of numbers of subjects and the number of single nucleotide polymorphisms (SNP) that can be interrogated. As a consequence, there has been a significant increase in the number of signals associated with asthma, COPD and lung function. SNP that have shown association with lung function reassuringly show a significant overlap with SNP associated with COPD giving a glimpse at pathways that may be involved in COPD mechanisms including genes in, for example, developmental pathways. In asthma, association signals are often in or near genes involved in both adaptive and innate immune response pathways, epithelial cell homeostasis and airway structural changes. The challenges now are translating these genetic signals into a new understanding of lung biology, understanding how variants impact health and disease and how they may provide opportunities for therapeutic intervention.