Child Health Evaluative Sciences Program, Hospital for Sick Children, Toronto, Ontario, Canada.
Pediatr Pulmonol. 2011 Sep;46(9):857-69. doi: 10.1002/ppul.21456. Epub 2011 Apr 1.
Genetic studies of lung disease in cystic fibrosis (CF) are hampered by the lack of a severity measure that accounts for chronic disease progression and mortality attrition. Further, combining analyses across studies requires common phenotypes that are robust to study design and patient ascertainment. Using data from the North American Cystic Fibrosis Modifier Consortium (Canadian Consortium for CF Genetic Studies, Johns Hopkins University CF Twin and Sibling Study, and University of North Carolina/Case Western Reserve University Gene Modifier Study), the authors calculated age-specific CF percentile values of FEV1 which were adjusted for CF age-specific mortality data. The phenotype was computed for 2,061 patients representing the Canadian CF population, 1,137 extreme phenotype patients in the UNC/Case Western study, and 1,323 patients from multiple CF sib families in the CF Twin and Sibling Study. Despite differences in ascertainment and median age, our phenotype score was distributed in all three samples in a manner consistent with ascertainment differences, reflecting the lung disease severity of each individual in the underlying population. The new phenotype score was highly correlated with the previously recommended complex phenotype, but the new phenotype is more robust for shorter follow-up and for extreme ages. A disease progression and mortality-adjusted phenotype reduces the need for stratification or additional covariates, increasing statistical power, and avoiding possible distortions. This approach will facilitate large-scale genetic and environmental epidemiological studies which will provide targeted therapeutic pathways for the clinical benefit of patients with CF.
遗传性肺病在囊性纤维化(CF)中的研究受到缺乏一种能够解释慢性疾病进展和死亡率损失的严重程度衡量标准的阻碍。此外,要结合各研究的分析结果,需要具有稳健的研究设计和患者确定的共同表型。作者利用来自北美囊性纤维化修饰体联合会(加拿大囊性纤维化遗传研究联合会、约翰霍普金斯大学 CF 双胞胎和兄弟姐妹研究以及北卡罗来纳大学/凯斯西储大学基因修饰体研究)的数据,计算了特定 CF 年龄的 FEV1 的 CF 百分位值,这些值经过 CF 特定年龄死亡率数据的调整。该表型是为代表加拿大 CF 人群的 2061 名患者、UNC/Case Western 研究中的 1137 名极端表型患者和 CF 双胞胎和兄弟姐妹研究中的 1323 名来自多个 CF 同胞家庭的患者计算得出的。尽管在确定和中位数年龄方面存在差异,但我们的表型评分在所有三个样本中的分布方式与确定差异一致,反映了基础人群中每个个体的肺病严重程度。新的表型评分与之前推荐的复杂表型高度相关,但新表型在较短的随访时间和极端年龄时更稳健。疾病进展和死亡率调整后的表型减少了分层或其他协变量的需求,提高了统计能力,并避免了可能的扭曲。这种方法将促进大规模的遗传和环境流行病学研究,为 CF 患者的临床获益提供有针对性的治疗途径。