- ICH GCP
- Register voor klinische proeven in de VS.
- Klinische proef NCT00767702
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.
Studie Overzicht
Toestand
Gedetailleerde beschrijving
Studietype
Inschrijving (Werkelijk)
Contacten en locaties
Studie Locaties
-
-
Maryland
-
Bethesda, Maryland, Verenigde Staten, 20892
- National Human Genome Research Institute (NHGRI), 9000 Rockville Pike
-
-
Deelname Criteria
Geschiktheidscriteria
Leeftijden die in aanmerking komen voor studie
Accepteert gezonde vrijwilligers
Geslachten die in aanmerking komen voor studie
Beschrijving
- 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.
Studie plan
Hoe is de studie opgezet?
Ontwerpdetails
Medewerkers en onderzoekers
Publicaties en nuttige links
Algemene publicaties
- 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.
Studie record data
Bestudeer belangrijke data
Studie start
Studie voltooiing
Studieregistratiedata
Eerst ingediend
Eerst ingediend dat voldeed aan de QC-criteria
Eerst geplaatst (Schatting)
Updates van studierecords
Laatste update geplaatst (Werkelijk)
Laatste update ingediend die voldeed aan QC-criteria
Laatst geverifieerd
Meer informatie
Termen gerelateerd aan deze studie
Trefwoorden
Andere studie-ID-nummers
- 999908217
- 08-HG-N217
Deze informatie is zonder wijzigingen rechtstreeks van de website clinicaltrials.gov gehaald. Als u verzoeken heeft om uw onderzoeksgegevens te wijzigen, te verwijderen of bij te werken, neem dan contact op met register@clinicaltrials.gov. Zodra er een wijziging wordt doorgevoerd op clinicaltrials.gov, wordt deze ook automatisch bijgewerkt op onze website .