Genotyping for epidemiology studies

流行病学研究的基因分型

基本信息

批准号：
10199835
负责人：
Ethan Dmitrovsky
金额：
$ 56.53万
依托单位：
LEIDOS BIOMEDICAL RESEARCH, INC.
依托单位国家：
美国
项目类别：
财政年份：
2019
资助国家：
美国
起止时间：
2019-08-31 至 2020-08-30
项目状态：
已结题

来源：
https://reporter.nih.gov/project-details/10199835
关键词：
2019-nCoV Acute Myelocytic Leukemia Adenocarcinoma Aplastic Anemia Area Basic Science Biological Assay Burkitt Lymphoma COVID-19 Caring Cervical Cancer Screening Chronic Lymphocytic Leukemia Colorectal Cancer Communities Custom DNA Data Data Analyses Data Set Data Storage and Retrieval Development Disease Disease Outcome Division of Cancer Epidemiology and Genetics Employment Endometrial Carcinoma Environmental Risk Factor Epidemiologist Ewings sarcoma Experimental Designs Fanconi&apos s Anemia Generations Genes Genetic Genetic Markers Genetic Variation Genome Scan Genomics Genotype Helicobacter pylori Heritability Hodgkin Disease Human Human Genetics Human Genome Human Papillomavirus Image Immunohistochemistry Individual Infection Informatics Information Management Intramural Research Program Laboratories Laboratory Research Li-Fraumeni Syndrome Malignant Neoplasms Malignant neoplasm of esophagus Malignant neoplasm of lung Malignant neoplasm of ovary Malignant neoplasm of pancreas Malignant neoplasm of pituitary gland Malignant neoplasm of prostate Malignant neoplasm of thyroid Meta-Analysis Molecular Epidemiology Myelofibrosis Myotonic Dystrophy Neurofibromatosis 1 Non-Hodgkin&apos s Lymphoma Normal tissue morphology Nucleic Acids Outcome Patients Phenotype Predisposition Proteomics Publications Publishing Renal carcinoma Research Research Personnel Research Support Resources Rhabdomyosarcoma Sampling Scientific Advances and Accomplishments Scientist Specimen Statistical Methods Support Groups Surveys Techniques Technology Technology Transfer Tissues Waldenstrom Macroglobulinemia Work anticancer research bioinformatics pipeline cancer genomics cost cost effective data access data resource database of Genotypes and Phenotypes design digital digital pathology epidemiology study exome sequencing follow-up genetic variant genome sequencing genome wide association study genome-wide human genome sequencing human genomics interest large datasets malignant breast neoplasm melanoma microbiome sequencing molecular pathology novel osteosarcoma technology research and development tissue processing tool tumor

项目摘要

The Cancer Genomics Research (CGR) Laboratory was established to investigate the contribution of genetic variation to cancer susceptibility and outcomes. Working in concert with epidemiologists, biostatisticians, and basic research scientists in DCEG’s intramural research program, the CGR provides the capacity to conduct genome-wide discovery studies and targeted regional approaches to identify the heritable determinants of various forms of cancer. New work has begun in somatic research with the use of tumor/normal tissue nucleic acids for cross-platform comparisons in subjects of interest. A support group for molecular and digital pathology research within CGR has been added to support these efforts. CGR supports DCEG in all stages of cancer research from planning to publishing, including experimental design and project management, sample handling, genotyping and sequencing assay design and execution, tissue research support, development and implementation of bioinformatic pipelines, and downstream research and analytical support. These factors make CGR a unique collaborative center for NCI-driven scientific endeavors.

癌症基因组学研究 (CGR) 实验室的成立是为了研究遗传变异对癌症易感性和结果的影响，CGR 与 DCEG 校内研究项目中的流行病学家、生物统计学家和基础研究科学家合作，提供了进行基因组研究的能力。广泛的发现研究和有针对性的区域方法来确定各种形式癌症的遗传决定因素，在体细胞研究中已经开始使用肿瘤/正常组织核酸进行跨平台比较。 CGR 内增加了一个分子和数字病理学研究支持小组，以支持从规划到发布的癌症研究各个阶段的 DCEG 检测，包括实验设计和项目管理、样本处理、基因分型和测序设计。这些因素使 CGR 成为 NCI 驱动的科学事业的独特合作中心。