Literature DB >> 11069796

Application of an algorithm for the diagnosis of asthma in Chinese families: limitations and alternatives for the phenotypic assessment of asthma in family-based genetic studies.

J C Celedon1, E K Silverman, S T Weiss, B Wang, Z Fang, X Xu.   

Abstract

Phenotype assessment is a crucial issue in gene mapping studies of asthma. Recently, Panhuysen and coworkers proposed an algorithm to define the asthma phenotype in gene mapping family-based studies. We classified members of 2,756 Chinese families ascertained on the basis of the presence of two or more siblings and no more than one parent with asthma using a slightly modified version of the aforementioned algorithm. Among 4,097 Chinese parents, 404 (9.9%) were classified as having "definite asthma," 284 (6.9%) as "probable asthma," 1,193 (29.1%) as "unclassifiable obstructive airway disease, " 626 (15.3%) as "COPD," and 1,590 (38.8%) as "unaffected" (no obstructive airway disease). Among 6,424 Chinese offspring, 1,065 (16.6%) were classified as having "definite asthma," 820 (12.8%) as "probable asthma," 1,996 (31.1%) as "unclassifiable obstructive airway disease," 228 (3.5%) as "COPD," and 2,315 (36%) as "unaffected." The use of the algorithm proposed by Panhuysen and coworkers in a Chinese population with a high prevalence of smoking would result in the exclusion of subjects with asthma who smoke or who have severe airflow obstruction from linkage analysis, as well as in an inability to explore any potential interactions between genetic factors and cigarette smoking in the pathogenesis of asthma. In the absence of a "gold standard," definitions of asthma that incorporate a combination of respiratory symptoms, increased airway responsiveness or bronchodilator response, and a physician's diagnosis of asthma are reasonable. The choice of a particular diagnostic algorithm for family-based genetic studies of asthma should be made according to factors such as the prevalence of smoking in the study population. Genetic studies of intermediate phenotypes related to asthma, which are objectively defined and may be influenced by a smaller number of genes, continue to be of great importance.

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Year:  2000        PMID: 11069796     DOI: 10.1164/ajrccm.162.5.2003007

Source DB:  PubMed          Journal:  Am J Respir Crit Care Med        ISSN: 1073-449X            Impact factor:   21.405


  6 in total

1.  PRKCA: a positional candidate gene for body mass index and asthma.

Authors:  Amy Murphy; Kelan G Tantisira; Manuel E Soto-Quirós; Lydiana Avila; Barbara J Klanderman; Stephen Lake; Scott T Weiss; Juan C Celedón
Journal:  Am J Hum Genet       Date:  2009-07-02       Impact factor: 11.025

2.  Significant linkage to airway responsiveness on chromosome 12q24 in families of children with asthma in Costa Rica.

Authors:  Juan C Celedón; Manuel E Soto-Quiros; Lydiana Avila; Stephen L Lake; Catherine Liang; Eduardo Fournier; Mitzi Spesny; Craig P Hersh; Jody S Sylvia; Thomas J Hudson; Andrei Verner; Barbara J Klanderman; Nelson B Freimer; Edwin K Silverman; Scott T Weiss
Journal:  Hum Genet       Date:  2006-09-26       Impact factor: 4.132

3.  A genomewide search for quantitative-trait loci underlying asthma.

Authors:  X Xu; Z Fang; B Wang; C Chen; W Guang; Y Jin; J Yang; S Lewitzky; A Aelony; A Parker; J Meyer; S T Weiss; X Xu
Journal:  Am J Hum Genet       Date:  2001-10-22       Impact factor: 11.025

4.  Identification of asthma phenotypes using cluster analysis in the Severe Asthma Research Program.

Authors:  Wendy C Moore; Deborah A Meyers; Sally E Wenzel; W Gerald Teague; Huashi Li; Xingnan Li; Ralph D'Agostino; Mario Castro; Douglas Curran-Everett; Anne M Fitzpatrick; Benjamin Gaston; Nizar N Jarjour; Ronald Sorkness; William J Calhoun; Kian Fan Chung; Suzy A A Comhair; Raed A Dweik; Elliot Israel; Stephen P Peters; William W Busse; Serpil C Erzurum; Eugene R Bleecker
Journal:  Am J Respir Crit Care Med       Date:  2009-11-05       Impact factor: 21.405

5.  Polymorphisms in signal transducer and activator of transcription 3 and lung function in asthma.

Authors:  Augusto A Litonjua; Kelan G Tantisira; Stephen Lake; Ross Lazarus; Brent G Richter; Stacey Gabriel; Eric S Silverman; Scott T Weiss
Journal:  Respir Res       Date:  2005-06-03

6.  Chronic respiratory disease surveys in adults in low- and middle-income countries: A systematic scoping review of methodological approaches and outcomes.

Authors:  Nik Sherina Hanafi; Dhiraj Agarwal; Soumya Chippagiri; Evelyn A Brakema; Hilary Pinnock; Aziz Sheikh; Su-May Liew; Chiu-Wan Ng; Rita Isaac; Karuthan Chinna; Li Ping Wong; Norita Hussein; Ahmad Ihsan Abu Bakar; Yong-Kek Pang; Sanjay Juvekar; Ee Ming Khoo
Journal:  J Glob Health       Date:  2021-06-19       Impact factor: 4.413

  6 in total

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