Keller Benjamin J, Eichinger Felix, Kretzler Matthias
Eastern Michigan University, Ypsilanti, MI;
AMIA Jt Summits Transl Sci Proc. 2012;2012:42-51. Epub 2012 Mar 19.
Previous work shows that gene associations and network properties common between pairs of diseases can provide molecular evidence of comorbidity, but relationships among diseases may extend to larger groups. Formal concept analysis allows the study of multiple diseases based on a concept lattice whose structure indicates gene set commonality. We use the concept lattice for gene associations to evaluate the complexity of the relationships among diseases, and to identify concepts whose gene sets are candidates for further functional analysis. For this, we define a heuristic on the lattice structure that allows the identification of concepts whose gene sets indicate strong relationships among the included diseases, which are distinguished from other diseases in the family. Applying this approach to a family of renal diseases we demonstrate that this approach finds gene sets that may be promising for studying common (and differing) mechanism among a family of comorbid or phenotypically related diseases.
先前的研究表明,疾病对之间共有的基因关联和网络特性可为共病提供分子证据,但疾病之间的关系可能会扩展到更大的群体。形式概念分析允许基于概念格来研究多种疾病,概念格的结构表明了基因集的共性。我们使用基因关联的概念格来评估疾病之间关系的复杂性,并识别其基因集可作为进一步功能分析候选对象的概念。为此,我们在格结构上定义了一种启发式方法,该方法能够识别其基因集表明所包含疾病之间存在强关系的概念,这些疾病与家族中的其他疾病有所不同。将这种方法应用于一个肾脏疾病家族,我们证明该方法找到了一些基因集,这些基因集对于研究共病或表型相关疾病家族中的共同(和不同)机制可能很有前景。