A new locus for otosclerosis, OTSC8, maps to the pericentromeric region of chromosome 9

Otosclerosis is a common disorder of the otic capsule resulting in hearing impairment in 0.3–0.4% of the Caucasian population. The aetiology of the disease remains unclear. In most cases, otosclerosis can be considered as a complex disease. In some cases, the disease is inherited as an autosomal dominant trait, sometimes with reduced penetrance. To date, seven autosomal dominant loci have been reported, but none of the disease-causing genes has been identified. In this study, we present the results of a genome-wide linkage analysis in a large Tunisian family segregating autosomal dominant otosclerosis. Linkage analysis localised the responsible gene to chromosome 9p13.1-9q21.11 with a maximal LOD score of 4.13, and this locus was named OTSC8. Using newly generated short tandem repeat polymorphism markers, we mapped this new otosclerosis locus to a 34.16 Mb interval between the markers D9S970 and D9S1799. This region comprises the pericentromeric region on both arms of chromosome 9, a highly complex region containing many duplicated sequences. Electronic supplementary material  The online version of this article (doi:) contains supplementary material, which is available to authorized users.     

Molecular phylogenetic study of the Iranians based on polymorphic markers

The application of polymorphic markers in construction of phylogenetic trees has been documented. Five polymorphic markers located in the PAH gene region including PAH-BglII, PAH-PvuII(A), PAH-EcoRI, PAH-MspI and PAH-STR were selected for analysis of phylogenetic relationships of the Iranians with 15 other populations of the world. The lowest genetic distance was observed between the Iranians and populations residing in Adygei (an ethnic group of the Russian Caucasus), Russia and Druze (a Middle Eastern group). However, East Asian populations including Han, Japanese and Cambodians, Khmer or the Oceanians (Melanesian, Nasioi) showed high genetic distance with the Iranians. The data suggested that the Iranians might have relatively close evolutionary history with the populations residing in Russia rather than East Asian populations. This study provided the first new molecular insight into the evolutionary history of the Iranian population.     

Modeling drug response using network-based personalized treatment prediction (NetPTP) with applications to inflammatory bowel disease

For many prevalent complex diseases, treatment regimens are frequently ineffective. For example, despite multiple available immunomodulators and immunosuppressants, inflammatory bowel disease (IBD) remains difficult to treat. Heterogeneity in the disease across patients makes it challenging to select the optimal treatment regimens, and some patients do not respond to any of the existing treatment choices. Drug repurposing strategies for IBD have had limited clinical success and have not typically offered individualized patient-level treatment recommendations. In this work, we present NetPTP, a Network-based Personalized Treatment Prediction framework which models measured drug effects from gene expression data and applies them to patient samples to generate personalized ranked treatment lists. To accomplish this, we combine publicly available network, drug target, and drug effect data to generate treatment rankings using patient data. These ranked lists can then be used to prioritize existing treatments and discover new therapies for individual patients. We demonstrate how NetPTP captures and models drug effects, and we apply our framework to individual IBD samples to provide novel insights into IBD treatment.