Monoallelic expression in melanoma.

Background: Monoallelic expression (MAE) is a frequent genomic phenomenon in normal tissues, however its role in cancer is yet to be fully understood. MAE is defined as the expression of a gene that is restricted to one allele in the presence of a diploid heterozygous genome. Constitutive MAE occurs for imprinted genes, odorant receptors and random X inactivation.

Accelerating next generation sequencing data analysis with system level optimizations.

Next generation sequencing (NGS) data analysis is highly compute intensive. In-memory computing, vectorization, bulk data transfer, CPU frequency scaling are some of the hardware features in the modern computing architectures. To get the best execution time and utilize these hardware features, it is necessary to tune the system level parameters before running the application.

Diagnosis implications of the whole genome sequencing in a large Lebanese family with hyaline fibromatosis syndrome.

Background: Hyaline fibromatosis syndrome (HFS) is a recently introduced alternative term for two disorders that were previously known as juvenile hyaline fibromatosis (JHF) and infantile systemic hyalinosis (ISH). These two variants are secondary to mutations in the anthrax toxin receptor 2 gene (ANTXR2) located on chromosome 4q21. The main clinical features of both entities include papular and/or nodular skin lesions, gingival hyperplasia, joint contractures and osteolytic bone lesions that appear in the first few years of life, and the syndrome typically progresses with the appearance of new lesions.

Temple-Baraitser Syndrome and Zimmermann-Laband Syndrome: one clinical entity?

Background: KCNH1 encodes a voltage-gated potassium channel that is predominantly expressed in the central nervous system. Mutations in this gene were recently found to be responsible for Temple-Baraitser Syndrome (TMBTS) and Zimmermann-Laband syndrome (ZLS).

Methods: Here, we report a new case of TMBTS diagnosed in a Lebanese child.

Model Comparison for Breast Cancer Prognosis Based on Clinical Data.

We compared the performance of several prediction techniques for breast cancer prognosis, based on AU-ROC performance (Area Under ROC) for different prognosis periods. The analyzed dataset contained 1,981 patients and from an initial 25 variables, the 11 most common clinical predictors were retained. We compared eight models from a wide spectrum of predictive models, namely; Generalized Linear Model (GLM), GLM-Net, Partial Least Square (PLS), Support Vector Machines (SVM), Random Forests (RF), Neural Networks, k-Nearest Neighbors (k-NN) and Boosted Trees.

Obesity susceptibility loci in Qataris, a highly consanguineous Arabian population.

Objectives: In Qataris, a population characterized by a small size and a high rate of consanguinity, between two-thirds to three-quarters of adults are overweight or obese. We investigated the relevance of 23 obesity-related loci in the Qatari population.

Methods: Eight-hundred-four individuals assessed to be third generation Qataris were included in the study and assigned to 3 groups according to their body mass index (BMI): 190 lean (BMI < 25 kg/m(2)); 131 overweight (25 kg/m(2) ≤ BMI < 30 kg/m(2)) and 483 obese (BMI ≥ 30 kg/m(2)).

Hospital information system survey in qatar.

Unlabelled: Healthcare can be enhanced by the effective use of information technology to improve the quality and safety of care and many healthcare providers are adopting advanced health information technology to improve their healthcare delivery process. Qatar is a relatively young Middle Eastern country with an ambitious and progressive national strategy to develop its healthcare system, including an advanced e-health infrastructure delivering the right medical information at the right time to clinicians and patients. To assess the effectiveness of such programs, it is important to have a pre-intervention baseline from which comparisons, performance against target measures and forward thinking strategic planning can be grounded.