Jordan Bertrand
UMR 7268 ADÉS, Aix-Marseille, Université/EFS/CNRS ; CoReBio PACA, case 901, Parc scientifique de Luminy, 13288 Marseille Cedex 09, France.
Med Sci (Paris). 2018 Dec;34(12):1116-1122. doi: 10.1051/medsci/2018290. Epub 2019 Jan 9.
The accumulation of extensive repositories linking phenotypic and genetic information, together with new computation methods, makes it possible to derive polygenic scores for susceptibility to common diseases that turn out to have strong predictive power. These will be clinically useful to identify individuals at high risk who may be eligible for protective interventions.
将表型信息与基因信息联系起来的大量数据库的积累,再加上新的计算方法,使得得出对常见疾病易感性的多基因分数成为可能,而这些分数具有很强的预测能力。这在临床上有助于识别可能适合接受保护性干预的高危个体。