Use of Population Descriptors in Human Genetic Research
Exploring the Use of Population Descriptors in Human Genetic Research
This study will explore scientists opinions and practices regarding the use of population descriptors (e.g., race, ethnicity, ancestry, geography and nationality) to describe a research study population. It will collect genetic researchers opinions, understandings and experiences studying human genetics and genetic variation.
Scientists who are a principal investigator or co-principal investigator n a human genetic or genomic study of a common disease with at least preliminary data that uses population descriptors may be eligible for the study.
Participants are asked to think about their study populations and how they are described in their research. They participate in two audio-taped semi-structured interviews that last from about 90 to 120 minutes. They may also participate in one or both of the following optional study components:
- A third semi-structured interview that explores implementing a new method of describing study populations in data analysis.
- 2 to 3 days of lab observation, in which a member of the study research team meets the lab members, observes daily activities and attends lab meetings.
研究概览
地位
详细说明
研究类型
注册 (实际的)
联系人和位置
学习地点
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Maryland
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Bethesda、Maryland、美国、20892
- National Human Genome Research Institute (NHGRI), 9000 Rockville Pike
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参与标准
资格标准
适合学习的年龄
接受健康志愿者
有资格学习的性别
描述
- INCLUSION CRITERIA:
The study population is comprised of intramural and extramural principal investigators:
- Conducting human genetic or genomic research on common disease
- Conducting a project in which they use population descriptors to describe their study sample
- Have collected, at a minimum, preliminary data that allows them to complete an exploratory exercise re-conceptualizing their use of population descriptors in this project.
Participation is limited to researchers who have collected data that gives them sufficient background and context to meaningfully complete this exercise. Insight gathered from our study population on alternatives to existing methods of population classification and description used in human genetic research is especially useful not only because of their professional expertise, but because they are the group that would need to implement alternatives.
学习计划
研究是如何设计的?
设计细节
合作者和调查者
出版物和有用的链接
一般刊物
- Burchard EG, Ziv E, Coyle N, Gomez SL, Tang H, Karter AJ, Mountain JL, Perez-Stable EJ, Sheppard D, Risch N. The importance of race and ethnic background in biomedical research and clinical practice. N Engl J Med. 2003 Mar 20;348(12):1170-5. doi: 10.1056/NEJMsb025007. No abstract available.
- Tang H, Quertermous T, Rodriguez B, Kardia SL, Zhu X, Brown A, Pankow JS, Province MA, Hunt SC, Boerwinkle E, Schork NJ, Risch NJ. Genetic structure, self-identified race/ethnicity, and confounding in case-control association studies. Am J Hum Genet. 2005 Feb;76(2):268-75. doi: 10.1086/427888. Epub 2004 Dec 29.
- Pennisi E. Breakthrough of the year. Human genetic variation. Science. 2007 Dec 21;318(5858):1842-3. doi: 10.1126/science.318.5858.1842.
研究记录日期
研究主要日期
学习开始
研究完成
研究注册日期
首次提交
首先提交符合 QC 标准的
首次发布 (估计)
研究记录更新
最后更新发布 (实际的)
上次提交的符合 QC 标准的更新
最后验证
更多信息
此信息直接从 clinicaltrials.gov 网站检索,没有任何更改。如果您有任何更改、删除或更新研究详细信息的请求,请联系 register@clinicaltrials.gov. clinicaltrials.gov 上实施更改,我们的网站上也会自动更新.