Public Population Project in Genomics, Montreal, Quebec, Canada.
Am J Epidemiol. 2011 Aug 1;174(3):261-4; author reply 265-6. doi: 10.1093/aje/kwr194. Epub 2011 Jul 11.
It is recognized that very large sample sizes capable of providing adequate statistical power are required to properly investigate and understand the role and interaction of genetic, lifestyle, and environmental factors in modulating the risk and progression of chronic diseases. However, very few one-off studies provide access to very large numbers of participants, and the collection of high-quality data necessitates a major investment of resources. The scientific community is thus increasingly engaged in collaborative efforts to facilitate harmonization and synthesis of data across studies. Complementary harmonization approaches may be adopted to support these efforts. In the current issue of the American Journal of Epidemiology, Hamilton et al. (Am J Epidemiol. 2011;174(3):253-260) present the consensus measures for Phenotypes and eXposures (PhenX) Toolkit, which promotes the use of identical data collection tools and procedures to support harmonization across emerging studies. Data synthesis is greatly facilitated by the use of common measures and procedures. However, the "stringent" criteria required by PhenX can limit its utilization. The opportunity to make use of rigorous but more "flexible" harmonization approaches should also be considered.
人们认识到,为了正确研究和了解遗传、生活方式和环境因素在调节慢性疾病风险和进展方面的作用和相互关系,需要有足够大的样本量来提供足够的统计能力。然而,很少有一次性研究能够接触到大量的参与者,而且收集高质量的数据需要大量的资源投入。因此,科学界越来越多地参与到合作努力中,以促进研究之间的数据协调和综合。可以采用互补的协调方法来支持这些努力。在本期《美国流行病学杂志》上,Hamilton 等人(Am J Epidemiol. 2011;174(3):253-260)提出了 Phenotypes and eXposures (PhenX) Toolkit 的共识指标,该指标促进使用相同的数据收集工具和程序,以支持新兴研究的协调。使用通用的措施和程序极大地促进了数据综合。然而,PhenX 所要求的“严格”标准可能会限制其应用。也应该考虑利用严格但更“灵活”的协调方法的机会。