前瞻性队列研究
生物
疾病
队列
计算生物学
队列研究
基因
病例对照研究
生物信息学
遗传学
内科学
医学
作者
Teri A. Manolio,Joan E. Bailey‐Wilson,Francis S. Collins
摘要
Gene–environment interactions are key contributors to complex disease, but are hard to dissect in commonly used case–control designs. This article argues that large-scale prospective cohort studies, several of which are planned or under way, provide an essential alternative strategy. Case–control studies have many advantages for identifying disease-related genes, but are limited in their ability to detect gene–environment interactions. The prospective cohort design provides a valuable complement to case–control studies. Although it has disadvantages in duration and cost, it has important strengths in characterizing exposures and risk factors before disease onset, which reduces important biases that are common in case–control studies. This and other strengths of prospective cohort studies make them invaluable for understanding gene–environment interactions in complex human disease.
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