Optimal Approach for Analysis of Case-Control Genetic Association Studies (GALA 1)
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|ClinicalTrials.gov Identifier: NCT00241709|
Recruitment Status : Completed
First Posted : October 19, 2005
Last Update Posted : March 11, 2013
|Condition or disease|
|Lung Diseases Asthma|
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.
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.
|Study Type :||Observational|
|Actual Enrollment :||800 participants|
|Official Title:||Case-Control Association Studies and Genetic Confounding|
|Study Start Date :||August 2005|
|Actual Primary Completion Date :||June 2010|
To learn more about this study, you or your doctor may contact the study research staff using the contact information provided by the sponsor.
Please refer to this study by its ClinicalTrials.gov identifier (NCT number): NCT00241709
|United States, California|
|University of California, San Francisco|
|San Francisco, California, United States, 94143|
|Principal Investigator:||Esteban Gonzalez Burchard, MD||University of California School of Medicine, San Francisco|