Department of Pediatrics, Women and Infants Hospital of Rhode Island, Providence, USA.
Am J Reprod Immunol. 2012 Apr;67(4):273-7. doi: 10.1111/j.1600-0897.2012.01122.x. Epub 2012 Mar 5.
A vast body of literature has suggested genetic programming of preterm birth. However, there is a complete lack of an organized analysis and stratification of genetic variants that may indeed be involved in the pathogenesis of preterm birth. We developed a novel bioinformatics approach to identify the nominal genetic variants associated with preterm birth. We used semantic data mining to extract all published articles related to preterm birth. Genes identified from public databases and archives of expression arrays were aggregated with genes curated from the literature. Pathway analysis was used to impute genes from pathways identified in the curations. The curated articles and collected genetic information are available in a web-based tool, the database for preterm birth (dbPTB) that forms a unique resource for investigators interested in preterm birth.
大量文献表明早产与基因编程有关。然而，目前完全缺乏对可能确实参与早产发病机制的遗传变异的有组织的分析和分层。我们开发了一种新的生物信息学方法来识别与早产相关的名义遗传变异。我们使用语义数据挖掘来提取所有与早产相关的已发表文章。从公共数据库和表达谱档案中鉴定的基因与从文献中整理的基因聚集在一起。通路分析用于从整理中鉴定的通路推断基因。整理的文章和收集的遗传信息可在基于网络的工具，早产数据库(dbPTB)中获得，该工具为对早产感兴趣的研究人员提供了独特的资源。
