Literature DB >> 34958416

Pharmacogenetics of Bronchodilator Response: Future Directions.

Joanne E Sordillo1, Rachel S Kelly2, Sharon M Lutz1, Jessica Lasky-Su2, Ann Chen Wu3.   

Abstract

PURPOSE OF REVIEW: Several genome-wide association studies (GWASs) of bronchodilator response (BDR) to albuterol have been published over the past decade. This review describes current knowledge gaps, including pharmacogenetic studies of albuterol response in minority populations, effect modification of pharmacogenetic associations by age, and relevance of BDR phenotype characterization to pharmacogenetic findings. New approaches, such as leveraging additional "omics" data to focus pharmacogenetic interrogation, as well as developing polygenic risk scores in asthma treatment responses, are also discussed. RECENT
FINDINGS: Recent pharmacogenetic studies of albuterol response in minority populations have identified genetic polymorphisms in loci (DNAH5, NFKB1, PLCB1, ADAMTS3, COX18, and PRKG1), that are associated with BDR. Additional studies are needed to replicate these findings. Modification of the pharmacogenetic associations for SPATS2L and ASB3 polymorphisms by age has also been published. Evidence from metabolomic and epigenomic studies of BDR may point to new pharmacogenetic targets. Lastly, a polygenic risk score for response to albuterol has been developed but requires validation in additional cohorts. In order to expand our knowledge of pharmacogenetics of BDR, additional studies in minority populations are needed. Consideration of effect modification by age and leverage of other "omics" data beyond genomics may also help uncover novel pharmacogenetic loci for use in precision medicine for asthma treatment.
© 2021. The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature.

Entities:  

Keywords:  Bronchodilator response; Effect modification by age; Pharmacogenetics; Polygenic risk score; β2-agonist

Mesh:

Substances:

Year:  2021        PMID: 34958416      PMCID: PMC8915205          DOI: 10.1007/s11882-021-01023-w

Source DB:  PubMed          Journal:  Curr Allergy Asthma Rep        ISSN: 1529-7322            Impact factor:   4.806


  47 in total

1.  Longitudinal analysis of bronchodilator response in asthmatics and effect modification of age-related trends by genotype.

Authors:  Joanne E Sordillo; Michael McGeachie; Sharon M Lutz; Jessica Lasky-Su; Kelan Tantisira; Ching Hui Tsai; Amber Dahlin; Rachel Kelly; Ann Chen Wu
Journal:  Pediatr Pulmonol       Date:  2018-12-25

2.  Assessment of bronchodilator response in children with asthma. Dutch CNSLD Study Group.

Authors:  H J Waalkens; P J Merkus; E E van Essen-Zandvliet; P L Brand; J Gerritsen; E J Duiverman; K F Kerrebijn; K K Knol; P H Quanjer
Journal:  Eur Respir J       Date:  1993-05       Impact factor: 16.671

3.  Pleiotropy-Based Decomposition of Genetic Risk Scores: Association and Interaction Analysis for Type 2 Diabetes and CAD.

Authors:  Daniel I Chasman; Franco Giulianini; Olga V Demler; Miriam S Udler
Journal:  Am J Hum Genet       Date:  2020-04-16       Impact factor: 11.025

4.  Genome-wide linkage analysis of bronchodilator responsiveness and post-bronchodilator spirometric phenotypes in chronic obstructive pulmonary disease.

Authors:  Lyle J Palmer; Juan C Celedón; Harold A Chapman; Frank E Speizer; Scott T Weiss; Edwin K Silverman
Journal:  Hum Mol Genet       Date:  2003-05-15       Impact factor: 6.150

5.  Expert Panel Report 3 (EPR-3): Guidelines for the Diagnosis and Management of Asthma-Summary Report 2007.

Authors: 
Journal:  J Allergy Clin Immunol       Date:  2007-11       Impact factor: 10.793

6.  ARG1 is a novel bronchodilator response gene: screening and replication in four asthma cohorts.

Authors:  Augusto A Litonjua; Jessica Lasky-Su; Kady Schneiter; Kelan G Tantisira; Ross Lazarus; Barbara Klanderman; John J Lima; Charles G Irvin; Stephen P Peters; John P Hanrahan; Stephen B Liggett; Gregory A Hawkins; Deborah A Meyers; Eugene R Bleecker; Christoph Lange; Scott T Weiss
Journal:  Am J Respir Crit Care Med       Date:  2008-07-10       Impact factor: 21.405

7.  Tailored second-line therapy in asthmatic children with the Arg(16) genotype.

Authors:  Brian J Lipworth; Kaninika Basu; Helen P Donald; Roger Tavendale; Donald F Macgregor; Simon A Ogston; Colin N A Palmer; Somnath Mukhopadhyay
Journal:  Clin Sci (Lond)       Date:  2013-04       Impact factor: 6.124

8.  A genome-wide association and admixture mapping study of bronchodilator drug response in African Americans with asthma.

Authors:  Melissa L Spear; Donglei Hu; Maria Pino-Yanes; Scott Huntsman; Celeste Eng; Albert M Levin; Victor E Ortega; Marquitta J White; Meghan E McGarry; Neeta Thakur; Joshua Galanter; Angel C Y Mak; Sam S Oh; Elizabeth Ampleford; Stephen P Peters; Adam Davis; Rajesh Kumar; Harold J Farber; Kelley Meade; Pedro C Avila; Denise Serebrisky; Michael A Lenoir; Emerita Brigino-Buenaventura; William Rodriguez Cintron; Shannon M Thyne; Jose R Rodriguez-Santana; Jean G Ford; Rocio Chapela; Andrés Moreno Estrada; Karla Sandoval; Max A Seibold; Cheryl A Winkler; Eugene R Bleecker; Deborah A Myers; L Keoki Williams; Ryan D Hernandez; Dara G Torgerson; Esteban G Burchard
Journal:  Pharmacogenomics J       Date:  2018-09-12       Impact factor: 3.550

9.  Plasmalogens Mediate the Effect of Age on Bronchodilator Response in Individuals With Asthma.

Authors:  Joanne E Sordillo; Sharon M Lutz; Rachel S Kelly; Michael J McGeachie; Amber Dahlin; Kelan Tantisira; Clary Clish; Jessica Lasky-Su; Ann Chen Wu
Journal:  Front Med (Lausanne)       Date:  2020-02-14

10.  Genome-wide interaction study reveals age-dependent determinants of responsiveness to inhaled corticosteroids in individuals with asthma.

Authors:  Amber Dahlin; Joanne E Sordillo; Michael McGeachie; Rachel S Kelly; Kelan G Tantisira; Sharon M Lutz; Jessica Lasky-Su; Ann Chen Wu
Journal:  PLoS One       Date:  2020-03-02       Impact factor: 3.240

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