title: In silico fine-mapping: narrowing disease-associated loci by intergenomics.
abstract: Genetic linkage and association studies define quantitative trait loci (QTLs) and susceptibility loci (SLs) that influence the phenotype of polygenic traits. A web-accessible application was created to identify intergenomic consensuses to fine map QTLs and SLs in silico and select particularly promising candidate genes for such traits. Furthermore, this approach offers an empirical evaluation of animal models for their applicability to the study of human traits.
  
  
  BACKGROUND
  http://qtl.pzr.uni-rostock.de/qtlmix.php
  
  
  BACKGROUND
  serrano@pzr.uni-rostock.de.
authors.affiliation: Institute of Immunology, University of Rostock, Schillingallee 70, D-18057 Rostock, Germany. serrano@pzr.uni-rostock.de
authors.forename: Pablo
authors.initials: P
authors.lastname: Serrano-Fernández
authors.forename: Saleh M
authors.initials: SM
authors.lastname: Ibrahim
authors.forename: Dirk
authors.initials: D
authors.lastname: Koczan
authors.forename: Uwe K
authors.initials: UK
authors.lastname: Zettl
authors.forename: Steffen
authors.initials: S
authors.lastname: Möller
mesh_terms: D000818:Animals; D002874:Chromosome Mapping / Q000379:methods*; D020022:Genetic Predisposition to Disease / Q000235:genetics*; D005820:Genetic Testing / Q000379:methods*; D023281:Genomics / Q000379:methods; D006801:Humans; D040641:Quantitative Trait Loci / Q000235:genetics*; D016415:Sequence Alignment / Q000379:methods*; D017422:Sequence Analysis, DNA / Q000379:methods*; D012984:Software