- ICH GCP
- Registro de ensayos clínicos de EE. UU.
- Ensayo clínico NCT00241709
Optimal Approach for Analysis of Case-Control Genetic Association Studies (GALA 1)
Case-Control Association Studies and Genetic Confounding
Descripción general del estudio
Estado
Condiciones
Descripción detallada
BACKGROUND:
In racially admixed populations, genetic associations may be confounded by population stratification. To control for population stratification, statistical methods that use marker genotype data to infer population structure have been proposed as an alternative to family-based tests of association. However, there are limited empirical data on how these methods perform in real populations. This study will use well characterized populations of Mexican and Puerto Rican asthmatics, their parents, and control subjects recruited from the same sites to examine the effectiveness of approaches to correct for the effects of population stratification on case-control genetic association studies.
DESIGN NARRATIVE:
This study has three specific aims: 1) To test and compare methods of detecting and correcting for population stratification, the study will genotype a total of 100 ancestral informative markers (AIMs) for 400 asthma cases and an equal number of control subjects. These AIMs will then be used with three statistical methods developed to detect and correct for population stratification. The number and characteristics of markers required to correct false positive associations between AIMs, asthma, and asthma quantitative traits will be evaluated and compared; 2) To compare the power of genomically adjusted case-control studies to the Transmission Disequilibrium Test (TDT). An allele from each of the 100 AIMs will be considered as a risk factor for a simulated "phenotype." The association between phenotypes and each AIM will be tested with the TDT and with a case-control analysis after adjustment for stratification to compare the false negative rates for these study designs. 3) To use the results from aim 1 and 2 to define an optimal approach for analysis and interpretation of case-control association studies in these populations and apply this approach to analyze the association between asthma and a series of candidate genes. The results of these studies should provide important insights into optimal methods to control for population stratification in case-control association studies, thereby facilitating the inclusion of admixed populations in future genetic studies of complex diseases such as asthma.
Tipo de estudio
Inscripción (Actual)
Contactos y Ubicaciones
Ubicaciones de estudio
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California
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San Francisco, California, Estados Unidos, 94143
- University of California, San Francisco
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Criterios de participación
Criterio de elegibilidad
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Acepta Voluntarios Saludables
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Detalles de diseño
- Modelos observacionales: Basado en la familia
- Perspectivas temporales: Retrospectivo
Colaboradores e Investigadores
Patrocinador
Colaboradores
Investigadores
- Investigador principal: Esteban Gonzalez Burchard, MD, University of California School of Medicine, San Francisco
Fechas de registro del estudio
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Inicio del estudio
Finalización primaria (Actual)
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Primero enviado que cumplió con los criterios de control de calidad
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Última actualización enviada que cumplió con los criterios de control de calidad
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Más información
Términos relacionados con este estudio
Términos MeSH relevantes adicionales
Otros números de identificación del estudio
- 1309
- R01HL078885 (Subvención/contrato del NIH de EE. UU.)
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