Gabrielle A Lockett1, John W Holloway. 1. Human Development and Health, Faculty of Medicine, University of Southampton, Southampton, UK.
Abstract
PURPOSE OF REVIEW: A large number of genetic loci contribute towards an individual's susceptibility to asthma and other complex diseases. Genome-wide association studies (GWASs) have provided us with a wealth of loci associated with asthma susceptibility, asthma endotypes and responsiveness to asthma medications. The reproducibility of these genetic loci across different studies highlights the interplay of general and population-specific risk alleles in asthma. Although GWASs have been successful in identifying disease-associated loci, there is still large potential for such studies to provide further insights into asthma pathogenesis. RECENT FINDINGS: GWASs over the past year have extended study design well beyond the simple case-control and continuous phenotype association formats, for example, including interactions with environmental factors, integrating GWAS data with epigenetic data and GWASs in animal models, incorporating pathway analyses and utilising emerging sequencing technologies. SUMMARY: Moving beyond traditional GWAS formats is likely to significantly enhance our understanding of the genetic basis for asthma. This review discusses where we are after half a decade of asthma GWASs, and focuses on advances over the past year that show where the GWAS field is headed in the future.
PURPOSE OF REVIEW: A large number of genetic loci contribute towards an individual's susceptibility to asthma and other complex diseases. Genome-wide association studies (GWASs) have provided us with a wealth of loci associated with asthma susceptibility, asthma endotypes and responsiveness to asthma medications. The reproducibility of these genetic loci across different studies highlights the interplay of general and population-specific risk alleles in asthma. Although GWASs have been successful in identifying disease-associated loci, there is still large potential for such studies to provide further insights into asthma pathogenesis. RECENT FINDINGS: GWASs over the past year have extended study design well beyond the simple case-control and continuous phenotype association formats, for example, including interactions with environmental factors, integrating GWAS data with epigenetic data and GWASs in animal models, incorporating pathway analyses and utilising emerging sequencing technologies. SUMMARY: Moving beyond traditional GWAS formats is likely to significantly enhance our understanding of the genetic basis for asthma. This review discusses where we are after half a decade of asthma GWASs, and focuses on advances over the past year that show where the GWAS field is headed in the future.
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