Institute for Molecular Medicine Finland, and Department of Medical Genetics, University of Helsinki, Helsinki, Finland.
Hum Mol Genet. 2011 Jul 1;20(13):2686-95. doi: 10.1093/hmg/ddr162. Epub 2011 Apr 19.
Phenotype mining is a novel approach for elucidating the genetic basis of complex phenotypic variation. It involves a search of rich phenotype databases for measures correlated with genetic variation, as identified in genome-wide genotyping or sequencing studies. An initial implementation of phenotype mining in a prospective unselected population cohort, the Northern Finland 1966 Birth Cohort (NFBC1966), identifies neurodevelopment-related traits-intellectual deficits, poor school performance and hearing abnormalities-which are more frequent among individuals with large (>500 kb) deletions than among other cohort members. Observation of extensive shared single nucleotide polymorphism haplotypes around deletions suggests an opportunity to expand phenotype mining from cohort samples to the populations from which they derive.
表型挖掘是一种阐明复杂表型变异遗传基础的新方法。它涉及在丰富的表型数据库中搜索与全基因组基因分型或测序研究中发现的遗传变异相关的度量标准。在一个前瞻性的未选择人群队列——芬兰北部 1966 年出生队列(NFBC1966)中,表型挖掘的初步实施确定了与神经发育相关的特征——智力缺陷、学业成绩不佳和听力异常——在存在较大(>500kb)缺失的个体中比在其他队列成员中更为常见。观察到缺失周围广泛存在的共享单核苷酸多态性单倍型提示了一个机会,可以将表型挖掘从队列样本扩展到它们所源自的人群。