Search

The Cancer Genomics Hub (CGHub) is the online repository of the sequencing programs of the National Cancer Institute (NCI), including The Cancer Genomics Atlas (TCGA), the Cancer Cell Line Encyclopedia (CCLE) and the Therapeutically Applicable Research to Generate Effective Treatments (TARGET) projects, with data from 25 different types of cancer. The CGHub currently contains >1.4 PB of data, has grown at an average rate of 50 TB a month and serves >100 TB per week. The architecture of CGHub is designed to support bulk searching and downloading through a Web-accessible application programming interface, enforce patient genome confidentiality in data storage and transmission and optimize for efficiency in access and transfer. In this article, we describe the design of these three components, present performance results for our transfer protocol, GeneTorrent, and finally report on the growth of the system in terms of data stored and transferred, including estimated limits on the current architecture. Our experienced-based estimates suggest that centralizing storage and computational resources is more efficient than wide distribution across many satellite labs. Database URL: https://cghub.ucsc.edu.

Objectives: The aim of this study was to present key findings from the 2019 national adult oral health survey in Singapore (NAOHS). Methods: A multi‐stage stratified sampling method was used to recruit participants for a representative national adult oral health survey. A total of 12 212 households were randomly selected from the National Database on Dwellings in Singapore. Within each household eligible persons aged ≥65 years were automatically invited to participate while a Kish selection method was used to invite those between 21 and 64 years old. The survey comprised a face‐to‐face interview questionnaire and a clinical examination which recorded details of tooth loss, DMFT, DMFS and prevalence of periodontal disease according to the CPITN and the US CDC‐AAP classifications. Weighted analysis was performed to adjust for oversampling, non‐response and post‐stratification. Multivariate regression with backward stepwise selection was carried out to identify predictors of chronic periodontal disease and untreated dental caries. Results: Six hundred and sixty‐three participants completed both the questionnaires and the clinical examination. The prevalence of edentulousness was 2.7%. Of participants, 34.8% presented with untreated dental caries with a higher proportion found in those who were aged ≥60 years, of Malay ethnicity, living in 1–2‐room public housing and who only visited the dentist when there was a problem. Mean DMFS and DMFT indices were 24.7 and 7.9 respectively. Based on the CDC‐AAP classification, the prevalence of moderate–severe chronic periodontitis was 56.9% and increased with age, with a higher proportion in males. Participants with untreated dental caries were more likely to have moderate or severe periodontal disease. Conclusions: Survey findings showed high prevalence of dental caries and periodontal disease, at 34.8% and 77.6% respectively. A clear socio‐economic gradient in the distribution of tooth loss, untreated dental caries and moderate‐to‐severe periodontitis was observed. [ABSTRACT FROM AUTHOR]