Project description:Sexual reproduction and recombination are essential for the survival of most eukaryotic populations. Until recently, the impact of these processes on the structure of bacterial populations has been largely overlooked. The advent of large-scale whole-genome sequencing and the concomitant development of molecular tools, such as microarray technology, facilitate the sensitive detection of recombination events in bacteria. These techniques are revealing that bacterial populations are comprised of isolates that show a surprisingly wide spectrum of genetic diversity at the DNA level. Our new awareness of this genetic diversity is increasing our understanding of population structures and of how these affect host?pathogen relationships. Set of arrays organized by shared biological context, such as organism, tumors types, processes, etc. Keywords: Logical Set
Project description:The purpose of this study is to understand best strategies for engaging high risk populations in a primary care setting to improved adherence to colorectal cancer screening guidelines. The results will be used to identify best practices that are scalable to other high-risk populations who are due or overdue for colorectal cancer (CRC) screening.
Project description:Research efforts are necessary to identify strategies to increase colorectal screening in underserved patient populations. Racial, ethnic minorities and medically underserved individuals continue to experience disparities in colorectal cancer mortality despite the availability of screening tests that can detect tumors early when treatments are most effective.
Project description:EMS-mutagenized D. melanogaster populations with 4xbicoid were sequenced at the 1st, 3rd, 7th, 9th and 15th generation to analyze genomic changes during experimental evolution. Non-mutagenized populations were sequenced in parallel, representing standing variations.
Project description:It has been shown that the human genome contains extensive copy number variations (CNVs). Investigating the medical and evolutionary impacts of CNVs requires the knowledge of locations, sizes and frequency distribution of CNVs within and between populations. However, CNV study of Chinese populations has been underrepresented considering the same efforts in other populations. Here we constructed a Chinese CNV map by using Affymetrix SNP 6 array. We did population analysis with other HapMap populations and identified population specific CNVs as well as candidate CNV regions under selection. Our results serve as a useful resource in further evolutionary and medical studies.