Building an Ontology of Phenotypes for Existing GWAS Studies

N. Alipanah, Hyeon-eui Kim, L. Ohno-Machado
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Abstract

The database of Genotypes and Phenotypes (dbGaP) is archiving the results of different Genome Wide Association Studies (GWAS). dbGaP has a multitude of phenotype variables, but they are not harmonized across studies. Unfortunately, dbGaP lacks semantic relations among its variables. This prevents efficient information retrieval and accurate searches to find studies that contain common phenotypes. Our goal is to standardize dbGaP information to allow accurate, reusable and quick retrieval of information.
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为现有的GWAS研究建立表型本体
基因型和表型数据库(dbGaP)正在归档不同的全基因组关联研究(GWAS)的结果。dbGaP有许多表型变量,但它们在研究中并不协调。不幸的是,dbGaP的变量之间缺乏语义关系。这阻碍了有效的信息检索和准确的搜索,以找到包含共同表型的研究。我们的目标是标准化dbGaP信息,以实现准确、可重用和快速的信息检索。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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