domingo, 2 de octubre de 2011

Genomewide Association between GLCCI1 and Response to Glucocorticoid Therapy in Asthma — NEJM

 

Genomewide Association between GLCCI1 and Response to Glucocorticoid Therapy in Asthma

Kelan G. Tantisira, M.D., Jessica Lasky-Su, Sc.D., Michishige Harada, Ph.D., Amy Murphy, Ph.D., Augusto A. Litonjua, M.D., Blanca E. Himes, Ph.D., Christoph Lange, Ph.D., Ross Lazarus, M.B., B.S., Jody Sylvia, B.S., Barbara Klanderman, Ph.D., Qing Ling Duan, Ph.D., Weiliang Qiu, Ph.D., Tomomitsu Hirota, Ph.D., Fernando D. Martinez, M.D., David Mauger, Ph.D., Christine Sorkness, Pharm.D., Stanley Szefler, M.D., Stephen C. Lazarus, M.D., Robert F. Lemanske, Jr., M.D., Stephen P. Peters, M.D., Ph.D., John J. Lima, Pharm.D., Yusuke Nakamura, M.D., Ph.D., Mayumi Tamari, M.D., Ph.D., and Scott T. Weiss, M.D.
N Engl J Med 2011; 365:1173-1183September 29, 2011
Comments open through October 5, 2011
Abstract
Article
References
Citing Articles (1)
Comments
Asthma is a complex genetic syndrome that affects 300 million persons worldwide.1 The response to treatment is also genetically complex and is characterized by high intraindividual repeatability2 and high interindividual variability,3 with up to 40% of patients with asthma having no response to therapy.
Inhaled glucocorticoids are the most widely prescribed medications for controlling asthma. Levels of endogenous glucocorticoids are heritable and vary, both at baseline and in response to environmental perturbation.4-6 Moreover, studies in families with conditions other than asthma have shown both familial segregation and heritability in responses to glucocorticoid medications.7,8 Given the heritability within the therapeutic class of glucocorticoids, as well as the high degrees of between-patient variability and within-patient repeatability in the response to inhaled glucocorticoids for the treatment of asthma, it is likely that this response has a genetic basis.
To date, pharmacogenetic investigations in asthma have focused on candidate genes.9-13 A powerful family-based screening algorithm14 for genomewide association studies has identified novel genetic loci that contribute to obesity15,16 and Alzheimer's disease.17 The algorithm uses parental genotype information to rank single-nucleotide polymorphisms (SNPs) that have the greatest potential power for association. A small subset of statistically powerful SNPs can then be tested in the probands with the use of the family-based association test (FBAT).18 Identifying markers in this fashion limits the potential for false-positive associations and increases the likelihood of replication in subsequent studies.
We hypothesized that a genomewide association study would identify novel variants associated with the response to inhaled glucocorticoids for asthma. We tested this hypothesis with the use of the family-based screening algorithm in subjects randomly assigned to inhaled glucocorticoids in the Childhood Asthma Management Program (CAMP).19,20 Through screening, we identified SNPs that offered the greatest power for a replicable association with the longitudinal response to inhaled glucocorticoids, measured as a change in forced expiratory volume in 1 second (FEV1). After screening, we tested the association of the highest-powered SNPs in four additional, independent populations drawn from clinical trials involving subjects with asthma
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Genomewide Association between GLCCI1 and Response to Glucocorticoid Therapy in Asthma — NEJM

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