Disease Clinical Trial
Official title:
Exploring the Use of Population Descriptors in Human Genetic Research
Verified date | August 8, 2012 |
Source | National Institutes of Health Clinical Center (CC) |
Contact | n/a |
Is FDA regulated | No |
Health authority | |
Study type | Observational |
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.
Status | Completed |
Enrollment | 18 |
Est. completion date | August 8, 2012 |
Est. primary completion date | |
Accepts healthy volunteers | No |
Gender | All |
Age group | 21 Years and older |
Eligibility |
- 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. |
Country | Name | City | State |
---|---|---|---|
United States | National Human Genome Research Institute (NHGRI), 9000 Rockville Pike | Bethesda | Maryland |
Lead Sponsor | Collaborator |
---|---|
National Human Genome Research Institute (NHGRI) |
United States,
Burchard EG, Ziv E, Coyle N, Gomez SL, Tang H, Karter AJ, Mountain JL, Pérez-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. — View Citation
Pennisi E. Breakthrough of the year. Human genetic variation. Science. 2007 Dec 21;318(5858):1842-3. — View Citation
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. Epub 2004 Dec 29. — View Citation
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