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癌症流行病学和遗传学部门（DCEG）开展基于人群、家庭和实验室的研究，以发现癌症的分子和环境病因决定因素以及癌症预防的新方法。该研究包括通过研究假定的因果风险因素和遗传变异与表型特征（例如，实验室测量、成像结果）的关系，发现疾病的遗传原因和基因-环境相互作用。环境风险因素的影响，如生活方式因素，暴露于化学品，传染性病原体和辐射，在个人基因组成的背景下进行研究，以告知癌症预防和控制的目标策略的发展。DCEG的研究策略不仅旨在利用现有的分析技术和研究设计，还旨在设计和实施创新的研究设计和分析方法，以利用新兴的生物医学、统计和计算技术。该司保持国家和国际视野，优先处理通过临床、实验室和流行病学观察确定的紧急问题。它回应了由国家癌症研究所（NCI）、国家卫生研究院（NIH）、卫生与公众服务部（DHHS）、国会、监管机构和其他适当机构确定的公共卫生问题。DCEG已经开发了基础设施（例如，分子实验室，计算设施），资源（例如，生物标本收集库），以及NCI， NIH和校外研究社区在经典（即，不涉及生物标本分析）和分子流行病学和家族遗传学方面的战略合作伙伴关系。

The Division of Cancer Epidemiology and Genetics (DCEG) conducts population-, family- and laboratory-based research to discover the molecular and environmental etiologic determinants of cancer and new approaches to cancer prevention. The research includes discovering genetic causes of disease and gene-environment interactions by studying the relationship of the putative causal risk factors and genetic variants to phenotypic characteristics (e.g., laboratory measures, imaging findings). The impact of environmental risk factors such as lifestyle factors, exposure to chemicals, infectious agents, and radiation are studied in the context of individuals’ genetic makeup to inform the development of targeted strategies for cancer prevention and control. DCEG’s research strategy is aimed at not only utilizing existing analysis techniques and study designs but also at devising and implementing innovative study designs and analysis methods to leverage emerging biomedical, statistical and computing technologies. The Division maintains a national and international perspective, giving priority to emergent issues identified through clinical, laboratory, and epidemiologic observations. It responds to public health concerns identified by the National Cancer Institute (NCI), National Institutes of Health (NIH), Department of Health and Human Services (DHHS), Congress, regulatory agencies, and other appropriate bodies. DCEG has developed infrastructures (e.g., molecular laboratories, computing facilities), resources (e.g., repository for biospecimen collections), and strategic partnerships in classical (i.e., not involving biospecimen analyses) and molecular epidemiology and familial genetics across NCI, NIH, and the extramural research community.