From expression QTLs to personalized transcriptomics
作者： Stephen B. Montgomery , Emmanouil T. Dermitzakis
DOI: 10.1038/NRG2969
关键词:
摘要: Approaches that combine expression quantitative trait loci (eQTLs) and genome-wide association (GWA) studies are offering new functional information about the aetiology of complex human traits diseases. Improved study designs — which take into account technological advances in resolving transcriptome, cell history state, population origin diverse endophenotypes providing insights architecture disease landscape gene regulation humans. Furthermore, these helping to establish links between cellular effects organismal traits.
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