Use of Population Descriptors in Human Genetic Research

NCT ID: NCT00767702

Last Updated: 2019-11-06

Study Results

Results pending

The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.

Basic Information

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Recruitment Status

COMPLETED

Total Enrollment

18 participants

Study Classification

OBSERVATIONAL

Study Start Date

2008-09-18

Study Completion Date

2012-08-08

Brief Summary

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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.

Detailed Description

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The usefulness of social and political population labels, including those based on race, ethnicity, geographic location, ancestry, and nationality, in science and medicine is a topic of heated debate. The discussion is significant not only for defining rigorous scientific study designs, but for influencing how scientists and the broader society conceptualize, discuss, and react to human difference. Misuse of population descriptors in genetic and genomic research has the potential to perpetuate misinformation, stigmatize certain groups and simplify the complex relationships between individual identity, genetics, and health. With such potential harms in mind, National Institutes of Health guidelines to use the Office of Management and Budget categories of race and ethnicity to monitor inclusion in clinical trials and evaluate potential differences in the safety and efficacy of interventions have been questioned. As increasing attention is given to the implications of human genetic variation on disease and health, actively engaging with scientists may help to identify a lexicon for discussing human genetic variation that is scientifically sound and socially and politically meaningful. We aim to conduct a pilot qualitative study of genetic researchers, exploring their use of population descriptors in human genetic research, including an experiment in which they have the opportunity to describe and group their study populations in a new way. We use qualitative methods to capture researchers' opinions and practices as they think critically about the use of population labels in their studies. Understanding individual scientists opinions about the strengths and weaknesses of different classifications in various contexts will provide important data to help define and facilitate appropriate use of population descriptors in human genetic research.

Conditions

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Population Groups Genetics, Medical Ethnology Disease Qualitative Research

Study Design

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Study Time Perspective

PROSPECTIVE

Eligibility Criteria

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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.
Minimum Eligible Age

21 Years

Eligible Sex

ALL

Accepts Healthy Volunteers

No

Sponsors

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National Human Genome Research Institute (NHGRI)

NIH

Sponsor Role lead

Principal Investigators

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Vence L Bonham, J.D.

Role: PRINCIPAL_INVESTIGATOR

National Human Genome Research Institute (NHGRI)

Locations

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National Human Genome Research Institute (NHGRI), 9000 Rockville Pike

Bethesda, Maryland, United States

Site Status

Countries

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United States

References

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Pennisi E. Breakthrough of the year. Human genetic variation. Science. 2007 Dec 21;318(5858):1842-3. doi: 10.1126/science.318.5858.1842.

Reference Type BACKGROUND
PMID: 18096770 (View on PubMed)

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.

Reference Type BACKGROUND
PMID: 12646676 (View on PubMed)

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.

Reference Type BACKGROUND
PMID: 15625622 (View on PubMed)

Other Identifiers

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08-HG-N217

Identifier Type: -

Identifier Source: secondary_id

999908217

Identifier Type: -

Identifier Source: org_study_id

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