Department of Medicine, Channing Division of Network Medicine, Brigham and Women’s Hospital, 181 Longwood Ave, Boston, MA 02115, USA.
Pharmacogenet Genomics. 2013 Jun;23(6):324-8. doi: 10.1097/FPC.0b013e3283607acf.
Although accurate measures of heritability are required to understand the pharmacogenetic basis of drug treatment response, these are generally not available, as it is unfeasible to give medications to individuals for which treatment is not indicated. Using a polygenic linear mixed modeling approach, we estimated lower bounds on the heritability of asthma and the heritability of two related drug-response phenotypes, bronchodilator response and airway hyperreactivity, using genome-wide single nucleotide polymorphism (SNP) data from existing asthma cohorts. Our estimate of the heritability for bronchodilator response is 28.5% (SE 16%, P=0.043) and airway hyperresponsiveness is 51.1% (SE 34%, P=0.064), whereas we estimate asthma genetic liability at 61.5% (SE 16%, P<0.001). Our results agree with the previously published estimates of the heritability of these traits, suggesting that the linear mixed modeling method is useful for computing the heritability of other pharmacogenetic traits. Furthermore, our results indicate that multiple SNP main effects, including SNPs as yet unidentified by genome-wide association study methods, together explain a sizable portion of the heritability of these traits.
虽然需要准确的遗传度衡量标准来了解药物治疗反应的遗传药理学基础,但通常无法获得这些标准,因为不可能给不适用治疗的个体用药。我们使用多基因线性混合模型方法,利用现有哮喘队列的全基因组单核苷酸多态性(SNP)数据,估计了哮喘以及两种相关药物反应表型(支气管扩张剂反应和气道高反应性)的遗传度下限。我们估计支气管扩张剂反应的遗传度为 28.5%(SE 16%,P=0.043),气道高反应性为 51.1%(SE 34%,P=0.064),而哮喘遗传易感性估计为 61.5%(SE 16%,P<0.001)。我们的结果与这些特征先前发表的遗传度估计值一致,表明线性混合模型方法可用于计算其他遗传药理学特征的遗传度。此外,我们的结果表明,多个 SNP 主效,包括全基因组关联研究方法尚未鉴定的 SNP,共同解释了这些特征遗传度的相当大一部分。