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Genetic mapping on fully sequenced individuals is transforming understanding of the relationship between molecular variation and variation in complex traits. Here we report a combined sequence and genetic mapping analysis in outbred rats that maps 355 quantitative trait loci for 122 phenotypes. We identify 35 causal genes involved in 31 phenotypes, implicating new genes in models of anxiety, heart disease and multiple sclerosis. The relationship between sequence and genetic variation is unexpectedly complex: at approximately 40% of quantitative trait loci, a single sequence variant cannot account for the phenotypic effect. Using comparable sequence and mapping data from mice, we show that the extent and spatial pattern of variation in inbred rats differ substantially from those of inbred mice and that the genetic variants in orthologous genes rarely contribute to the same phenotype in both species., Genetic mapping on fully sequenced individuals is transforming understanding of the relationship between molecular variation and variation in complex traits. Here we report a combined sequence and genetic mapping analysis in outbred rats that maps 355 quantitative trait loci for 122 phenotypes. We identify 35 causal genes involved in 31 phenotypes, implicating new genes in models of anxiety, heart disease and multiple sclerosis. The relationship between sequence and genetic variation is unexpectedly complex: at approximately 40% of quantitative trait loci, a single sequence variant cannot account for the phenotypic effect. Using comparable sequence and mapping data from mice, we show that the extent and spatial pattern of variation in inbred rats differ substantially from those of inbred mice and that the genetic variants in orthologous genes rarely contribute to the same phenotype in both species.

Contains fulltext : 63867.pdf (publisher's version ) (Closed access), Purpose: The WAG/Rij rat is among the most appropriate models for the study of spontaneous childhood absence epilepsy, without complex neurologic disorders that are associated with some mouse models for absence epilepsy. Previous studies have allowed the identification of distinct types of spike-wave discharges (SWDs) characterizing seizures in this strain. The purpose of this study was to investigate the genetic basis of electroencephalographic (EEG) properties of SWDs. Methods: An intercross was derived from WAG/Rij and ACI inbred strains that are known to differ substantially in the number of SWDs. Phenotypic analyses based on 23-h EEG recording in all progenies allowed the quantification of type I and type II SWD phenotypes. A genome-wide scan was performed with 145 microsatellite markers, which were used to test for evidence of genetic linkage to SWD quantitative phenotypes. Results: We were able to map quantitative trait loci independently, controlling type I and type II SWD variables to rat chromosomes 5 and 9. Strongest linkages were obtained for D5Mgh15 and total duration of type II SWD (lod, 3.64) and for D9Rat103 and the average duration of type I SWD (lod, 3.91). These loci were denoted T2swd/wag and T1swd/wag, respectively. Conclusions: The independent genetic control of type I and type II SWDs underlines the complexity of the molecular mechanisms participating in SWDs. The identification of these genetic loci represents an important step in our fundamental knowledge of the architecture of SWDs and may provide new insights for resolving the genetic heterogeneity of absence epilepsy.