title: Association of genetic profiles to Crohn's disease by linear combinations of single nucleotide polymorphisms.
abstract: BACKGROUND
  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.
  
  
  METHODS
  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.
  
  
  RESULTS
  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.
  
  
  CONCLUSIONS
  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.
authors.affiliation: Istituto di Studi sui Sistemi Intelligenti per l'Automazione-C.N.R., Via Amendola 122/D-I, 70126 Bari, Italy.
authors.forename: Annarita
authors.initials: A
authors.lastname: D'Addabbo
authors.forename: Anna
authors.initials: A
authors.lastname: Latiano
authors.forename: Orazio
authors.initials: O
authors.lastname: Palmieri
authors.forename: Maria Teresa
authors.initials: MT
authors.lastname: Creanza
authors.forename: Rosalia
authors.initials: R
authors.lastname: Maglietta
authors.forename: Vito
authors.initials: V
authors.lastname: Annese
authors.forename: Nicola
authors.initials: N
authors.lastname: Ancona
mesh_terms: D003424:Crohn Disease / Q000235:genetics*; D004843:Epistasis, Genetic; D020869:Gene Expression Profiling; D006801:Humans; D020641:Polymorphism, Single Nucleotide