基因
生物
计算生物学
全基因组关联研究
遗传学
表型
基因组
遗传关联
生物途径
进化生物学
基因表达
单核苷酸多态性
基因型
作者
Tune H. Pers,Juha Karjalainen,Yingleong Chan,Harm-Jan Westra,Andrew R. Wood,Jian Yang,Julian C. Lui,Sailaja Vedantam,Stefan Gustafsson,Tõnu Esko,Tim Frayling,Elizabeth K. Speliotes,Michael Boehnke,Soumya Raychaudhuri,Rudolf S.N. Fehrmann,Joel N. Hirschhorn,Lude Franke
摘要
The main challenge for gaining biological insights from genetic associations is identifying which genes and pathways explain the associations. Here we present DEPICT, an integrative tool that employs predicted gene functions to systematically prioritize the most likely causal genes at associated loci, highlight enriched pathways and identify tissues/cell types where genes from associated loci are highly expressed. DEPICT is not limited to genes with established functions and prioritizes relevant gene sets for many phenotypes.
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