Identification of quantitative trait loci governing arthritis severity and humoral responses in the murine model of Lyme disease.

Disease Responses in the Murine Model of Lyme Governing Arthritis Severity and Humoral Identification of Quantitative Trait Loci

Interval-specific congenic lines reveal quantitative trait Loci with penetrant lyme arthritis phenotypes on chromosomes 5, 11, and 12.

The observation that Borrelia burgdorferi-induced arthritis is severe in C3H mice and milder in C57BL/6 (B6) mice has allowed a forward genetics approach for the identification of genetic elements that regulate the arthritis response. Quantitative trait loci (QTL) on five chromosomes (Chr) were identified previously in segregating crosses between C3H and B6 mice and collectively designated B. b...

Identification and prioritization genes related to Hypercholesterolemia QTLs using gene ontology and protein interaction networks

Gene identification represents the first step to a better understanding of the physiological role of the underlying protein and disease pathways, which in turn serves as a starting point for developing therapeutic interventions. Familial hypercholesterolemia is a hereditary metabolic disorder characterized by high low-density lipoprotein cholesterol levels. Hypercholesterolemia is a quantitativ...

Genetic linkage studies for adjuvant arthritis-linked quantitative trait loci

Adjuvant arthritis (AA) serves as an excellent model for human rheumatoid arthritis. AA is readily inducible in certain rat strains, but not in others. Susceptibility/resistance to AA is determined by multiple factors. Among the genetic factors, both MHC and nonMHC genes contribute to arthritis susceptibility, and specific quantitative trait loci show association with the severity of the diseas...

High-throughput genotyping of advanced congenic lines by high resolution melting analysis for identification of Bbaa2, a QTL controlling Lyme arthritis.

Congenic mapping is a powerful strategy to identify genomic loci regulating quantitative traits. Generating congenic lines is an iterative process of refinement that is both time and resource intensive. Here we report an alternative to traditional microsatellite marker analysis or costly high-density oligonucleotide single nucleotide polymorphism (SNP) arrays for congenic genotyping. The identi...