D'Addabbo Annarita, Latiano Anna, Palmieri Orazio, Creanza Maria Teresa, Maglietta Rosalia, Annese Vito, Ancona Nicola
Istituto di Studi sui Sistemi Intelligenti per l'Automazione-C.N.R., Via Amendola 122/D-I, 70126 Bari, Italy.
Artif Intell Med. 2009 Jun;46(2):131-8. doi: 10.1016/j.artmed.2008.07.012. Epub 2008 Sep 19.
A large number of single nucleotide polymorphisms (SNPs) are supposed to be involved in onset, differentiation and development of complex diseases. Univariate analysis is limited in studying complex traits since does not take into account gene-gene interaction, and the correlation of multiple SNPs with a specific phenotype. Moreover it might underestimate gene variants with weaker genetic contribution. Therefore more sophisticated techniques should be adopted when investigating the role of a panel of genetic markers in disease predisposition.
In this paper we describe a general method to simultaneously investigate the association between SNPs profile and Crohn's disease (CD), by evaluating the susceptibility or protective role of single or groups of markers. As an association measure we adopted a weighted linear combination of SNPs in which suitable weighting vectors belonged to predefined and over-complete vocabularies of vectors (frames), or were determined by the data.
The proposed method found a weighted linear combination of SNPs statistically associated to CD (p=3.81 x 10(-10)) describing the role of the markers in the pathology. In particular, MCP1-A2518G gave the major contribution as protective locus, similarly to TNF-alpha-C857T, DLG5 rs124869, PTPN22 C1858T variants. The NF kappaB -94ATTG variants was found to be irrelevant for CD. For the remaining markers, a susceptibility role was attributed also confirming that markers on CARD15 gene, in particular G908R and L1007fsinsC, are involved with CD to the same extent as FcGIIIA G559T and TNF-alpha-G308A. Moreover, an odds ratio of 3.99(p<1.0 x 10(-4)) was assigned to this combination which is greater than the best odds ratio found in the single SNP analysis.
Our methodology allowed to statistically measure the association of a panel of SNPs with a specific phenotype. Therefore this approach could be suitable for a population screening program with simultaneous evaluation of a large set of gene polymorphism.
大量单核苷酸多态性(SNP)被认为与复杂疾病的发病、分化和发展有关。单变量分析在研究复杂性状方面存在局限性,因为它没有考虑基因-基因相互作用以及多个SNP与特定表型的相关性。此外,它可能会低估遗传贡献较弱的基因变异。因此,在研究一组遗传标记在疾病易感性中的作用时,应采用更复杂的技术。
在本文中,我们描述了一种通用方法,通过评估单个或一组标记的易感性或保护作用,同时研究SNP谱与克罗恩病(CD)之间的关联。作为一种关联度量,我们采用了SNP的加权线性组合,其中合适的加权向量属于预定义的、超完备的向量词汇表(框架),或者由数据确定。
所提出的方法找到了与CD具有统计学关联的SNP加权线性组合(p = 3.81×10^(-10)),描述了这些标记在病理中的作用。特别是,MCP1 - A2518G作为保护位点贡献最大,类似于TNF - α - C857T、DLG5 rs124869、PTPN22 C1858T变异。发现NF κB - 94ATTG变异与CD无关。对于其余标记,也赋予了易感性作用,这也证实了CARD15基因上的标记,特别是G908R和L1007fsinsC,与CD的关联程度与FcGIIIA G559T和TNF - α - G308A相同。此外,该组合的优势比为3.99(p < 1.0×10^(-4)),大于单SNP分析中发现的最佳优势比。
我们的方法能够从统计学上衡量一组SNP与特定表型的关联。因此,这种方法可能适用于同时评估大量基因多态性的人群筛查项目。