Integrated Hamilton Storage System to Support the UMBioBank

描述（由申请人提供）：医疗保健正在迅速走向“个性化医疗”的方法，为个体患者量身定制决策和医疗实践，利用基因组发现的力量来确定治疗类型，剂量，甚至前瞻性地预测发生疾病的风险。由于每个患者都是独一无二的，因此根据个人的基因组成定制治疗将有助于提高医疗保健的有效性，并最终通过提高效率来降低医疗保健成本。虽然单基因疾病很容易，但发现复杂疾病的遗传基础是具有挑战性的。全基因组关联研究采用了大量来自特征良好的患者的样本，已经揭示了与复杂疾病和特征相关的1000多个基因座，例如糖尿病，心血管疾病和中风。马里兰州大学的个性化和基因组医学项目于2011年4月启动。该计划的目标是推进个性化和基因组医学的基础和临床研究发现，并在马里兰州医疗系统（UMMS）的大学实施基于证据的个性化医疗到患者护理。为了实现这一目标，我们已经开始了两个主要的生物库项目。UMMS生物库将在未来几年内收集至少10万名与详细表型数据和EMR相关的患者的样本。阿米什人健康项目旨在确定居住在宾夕法尼亚州兰开斯特的几乎所有成年阿米什人，约12，000人。此外，马里兰州大学医学院（UMSOM）还收藏了各种研究样本，重点关注特定疾病。集中这些生物银行将在它们之间产生协同效应，并为建立标准化做法提供框架，以管理未来的银行工作。为了支持现有的收藏品并为新收藏品提供足够的空间，我们建议使用汉密尔顿存储技术公司的全自动系统来支持UMBioBank，该系统将存储与样本处理和从单个变体的基因分型到全基因组测序的自动化程序相结合。存储系统将允许使用-80 ° C和-20 ° C存储单元的组合存储500，000个DNA样本、75，000个血沉棕黄层和50，000个RNA样本，所有这些都连接到自动化液体处理平台。该系统将安装在CLIA和CAP认证实验室的新装修空间内，靠近其他临床研究实验室，以便于使用库存样本。提出了一个管理计划，该计划涉及向样本库添加样本和访问库存样本的政策。UMSOM和UMMS正在提供大量资源来支持UMBiobank。这笔赠款的目标是获得建立UMBioBank的基本设备，具体来说，支持样本收集，处理，DNA提取，存储和样本检索，以促进使用和共享样本，以发现个性化和基因组医学及其转化为改善的患者护理。

DESCRIPTION (provided by applicant): Healthcare is rapidly moving towards a "personalized medicine" approach, tailoring decisions and medical practices to individual patients, harnessing the power of genomic discoveries to determine the type of treatment, the dosage, and even prospectively predicting the risk of developing disease. As each patient is unique, customizing treatment based on that individual's genetic make-up will serve to improve the effectiveness of healthcare and ultimately cut healthcare costs through improved efficiencies. While easy for monogenic disorders, discovering the genetic basis for complex disorders is challenging. Genome-wide association studies employing large numbers of samples from well-characterized patients have unveiled more than 1000 loci associated with complex diseases and traits such as diabetes, cardiovascular disease and stroke to name a few. The University of Maryland's Personalized and Genomic Medicine Program was initiated in April 2011. The goal of this Program is to advance basic and clinical research discovery in personalized and genomic medicine and to implement evidence-based personalized medicine into patient care at the University of Maryland Medical System (UMMS). Toward this goal we have begun two major biobanking projects. The UMMS Biobank will collect samples from at least 100,000 patients linked to detailed phenotype data and the EMR over the next several years. The Amish Wellness Project aims to ascertain essentially all adult Amish living in Lancaster, PA, approximately 12,000 individuals. In addition, the University of Maryland School of Medicine (UMSOM) houses a variety of research sample collections that focus on specific diseases. Centralizing these Biobanks will create synergies between them and provide the framework to establish standardized practices to govern future banking efforts. To support existing collections and provide adequate space for banking new collections, we propose to support the UMBioBank with a fully automated system by Hamilton Storage Technologies that integrates storage with sample processing and automating procedures from genotyping of single variants to whole genome sequencing. The storage system will allow banking of 500,000 DNA samples, 75,000 buffy coats, and 50,000 RNA samples using a combination of -80¿C and -20¿C storage units, all linked to an automated liquid handling platform. The system will be housed in newly renovated space in a CLIA- and CAP-accredited laboratory, in space proximal to other clinical research laboratories, to facilitate use of banked samples. A management plan is presented that addresses policies for adding samples to the bank, and access to banked samples. The UMSOM and UMMS are providing substantial resources to support the UMBioBank. The goal of this grant is to acquire the essential equipment to establish the UMBioBank, specifically, to support sample collection, processing, DNA extraction, storage and sample retrieval to facilitate use and sharing of samples for discoveries in personalized and genomic medicine and their translation into improved patient care.