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Building a Population Representative Pediatric Biobank: Lessons Learned From the Greater Cincinnati Childhood Cohort

机译:建立一个人口代表性的儿科Biobank:从辛辛那提童年队队中学到的经验教训

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Background: Biobanks can accelerate research by providing researchers with samples and data. However, hospital-based recruitment as a source for controls may create bias as who comes to the hospital may be different from the broader population. Methods: In an effort to broadly improve the quality of research studies and reduce costs and challenges associated with recruitment and sample collection, a group of diverse researchers at Cincinnati Children's Hospital Medical Center led an institution-supported initiative to create a population representative pediatric “Greater Cincinnati Childhood Cohort (GCC).” Participants completed a detailed survey, underwent a brief physician-led physical exam, and provided blood, urine, and hair samples. DNA underwent high-throughput genotyping. Results: In total, 1,020 children ages 3–18 years living in the 7 county Greater Cincinnati Metropolitan region were recruited. Racial composition of the cohort was 84% non-Hispanic white, 15% non-Hispanic black, and 2% other race or Hispanic. Participants exhibited marked demographic and disease burden differences by race. Overall, the cohort was broadly used resulting in publications, grants and patents; yet, it did not meet the needs of all potential researchers. Conclusions: Learning from both the strengths and weaknesses, we propose leveraging a community-based participatory research framework for future broad use biobanking efforts.
机译:背景:Biobanks可以通过为研究人员提供样品和数据来加速研究。然而,基于医院的招聘作为控制的来源可能会产生偏见,因为临到医院可能与更广泛的人口不同。方法:在辛辛那提儿童医院医疗中心的一组多种研究人员领先地提高了研究研究和降低与招聘和样品收集相关的成本和挑战的努力,导致了一项机构支持的倡议,旨在创造一个人口代表性儿科的倡议辛辛那提童年队列(GCC)。“参与者完成了详细的调查,经历了一个简短的医师主导的体检,并提供了血液,尿和头发样品。 DNA接受了高通量基因分型。结果:招募了总共1,020岁以下3-18岁的儿童3-18岁,招聘了大慈慈大都市大都市地区。队列的种族构成是84%非西班牙裔白色,15%非西班牙裔黑人,2%的其他种族或西班牙裔。参与者表现出明显的人口统计和疾病负担差异。总体而言,队列广泛使用导致出版物,赠款和专利;然而,它不符合所有潜在研究人员的需求。结论:从强度和劣势学习,我们建议利用社区的参与式研究框架,以便未来广泛的使用生物管理努力。

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