By sampling 500 time points of an electrocardiogram (ECG) trace in a genome-wide association study (GWAS), Verweig et al. identified novel correlates for cardiac dysfunction. Clustering of SNPs based on their impact at all time points revealed natural sets of SNPs with similar effects and mechanisms. Similar approaches may be applicable to other quantitative, time-ordered traits.

中文翻译：

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复杂表型的当前技术：心电图的GWAS。

Verweig等人通过在全基因组关联研究（GWAS）中对心电图（ECG）迹线的500个时间点进行采样，鉴定出与心脏功能障碍有关的新发现。根据SNP在所有时间点的影响进行聚类，揭示出具有相似作用和机制的SNP天然集合。类似的方法可能适用于其他定量的，按时间顺序排列的特征。