Rich S S
Department of Public Health Sciences, Bowman Gray School of Medicine, Winston-Salem, North Carolina, USA.
Clin Exp Allergy. 1998 Apr;28 Suppl 1:84-7; discussion 108-10. doi: 10.1046/j.1365-2222.1998.0280s1084.x.
The analytic methods currently being used for the study of the genetics of asthma have primarily focused on the evaluation of linkage by non-parametric methods as applied to genome screen data in affected sibling pairs. Complexity in the analysis of asthma genetics has been shown to occur at several levels, including phenotypic definition (wide vs narrow criteria for asthma, including restriction based upon multiple phenotypes) and joint analysis of asthma with associated phenotypes. Alternative approaches that purport to treat asthma as a quantitative trait (a 'score' or 'index') rather than as a qualitative (asthma, yes or no) trait were presented, including the development of a 'Framingham Risk Score' for asthma, a selection index, or a propensity score. While each of these alternatives have interesting features, issues relating to estimation and incorporation in a family structure have yet to be resolved. Nonetheless, collection of a standard set of clinical data from multiple studies could be used in a score to increase the power of genetic mapping studies for asthma.
目前用于哮喘遗传学研究的分析方法主要集中在应用非参数方法评估受累同胞对基因组筛选数据中的连锁关系。哮喘遗传学分析的复杂性已在多个层面显现，包括表型定义（哮喘的宽泛与狭窄标准，包括基于多种表型的限制）以及哮喘与相关表型的联合分析。还介绍了一些将哮喘视为定量性状（“评分”或“指数”）而非定性性状（哮喘，是或否）的替代方法，包括开发哮喘的“弗雷明汉风险评分”、选择指数或倾向评分。虽然这些替代方法各自都有有趣的特点，但与估计以及纳入家庭结构相关的问题尚未得到解决。尽管如此，从多项研究中收集一组标准的临床数据可用于评分，以提高哮喘基因定位研究的效能。
