Effective identification of disease-causing gene locations can have significant impact on patient management decisions that will ultimately increase survival rates and improve the overall quality of health care. Linkage disequilibrium mapping is the process of finding disease gene locations through comparisons of haplotype frequencies between disease chromosomes and normal chromosomes. This wor...

INTRODUCTION High-grade anal intraepithelial neoplasia, also referred to as anal squamous carcinoma in-situ, or Bowen's disease of the anus, make up less than 1% of all digestive system cancers in the United States. The treatment of choice is surgical resection with anal mapping. However, this disease often recurs or persists, requiring additional surgery for these patients. This can compromise...

Background Rheumatoid arthritis (RA) is a chronic autoimmune disease of the joints, with frequent extra-articular complications including cardiovascular disease and cardiac fibrosis from multiple causes. Diffuse myocardial fibrosis can be detected non-invasively by extracellular volume (ECV) mapping based on preand postcontrast T1 measurements using cardiovascular magnetic resonance (CMR). We t...

The dog (Canis familiaris) was chosen for sequencing both for its unusual potential for disease gene mapping and for its clear value for mammalian comparative sequence analysis. The current 7.5x assembly generated from a female boxer is of high quality and has already proven useful for identification of regulatory elements . The SNP map accompanying the genome sequence has also been utilized to...

A composite interval gene mapping procedure for complex binary disease traits is proposed in this paper. The binary trait of interest is assumed to be controlled by an underlying liability that is normally distributed. The liability is treated as a typical quantitative character and thus described by the usual quantitative genetics model. Translation from the liability into a binary (disease) p...

Abstract Admixture mapping is a gene mapping approach used for the identification of genomic regions harboring disease susceptibility genes in the case of recently admixed populations such as African Americans. We present a novel method for admixture mapping, called admixture aberration analysis (AAA) that uses a DNA pool of affected admixed individuals. We demonstrate through simulations that ...

We present a semantic-based ontology mapping framework that offers instance transformation and discovery of new mapping using reasoning. Our framework comprises an expressive OWL-Full Mapping Representation Ontology (MRO) and a mapping translation method. Ontology mappings are represented in terms of an instantiation of the MRO. We define formal semantics for our ontology mapping representation...

High-throughput experimental technologies often identify dozens to hundreds of genes related to, or changed in, a biological or pathological process. From these genes one wants to identify biological pathways that may be involved and diseases that may be implicated. Here, we report a web server, KOBAS 2.0, which annotates an input set of genes with putative pathways and disease relationships ba...

An explosion of interest has been observed in disease mapping with the developments advanced spatial statistics and increasing availability computerized geographic information system (GIS) technology. This technique is known as “Disease Clustering” using this for future prediction termed “Geo-Spatial Disease Clustering”. Government, Medical Institutes, other medical practices gather large amoun...

In this paper, we consider double sequence iteration processes for strongly $rho$-contractive mapping in modular space. It is proved, these sequences, convergence strongly to a fixed point of the strongly $rho$-contractive mapping.