Working…
COVID-19 is an emerging, rapidly evolving situation.
Get the latest public health information from CDC: https://www.coronavirus.gov.

Get the latest research information from NIH: https://www.nih.gov/coronavirus.
ClinicalTrials.gov
ClinicalTrials.gov Menu

Optimal Approach for Analysis of Case-Control Genetic Association Studies (GALA 1)

The safety and scientific validity of this study is the responsibility of the study sponsor and investigators. Listing a study does not mean it has been evaluated by the U.S. Federal Government. Read our disclaimer for details.
 
ClinicalTrials.gov Identifier: NCT00241709
Recruitment Status : Completed
First Posted : October 19, 2005
Last Update Posted : March 11, 2013
Sponsor:
Collaborator:
National Heart, Lung, and Blood Institute (NHLBI)
Information provided by (Responsible Party):
University of California, San Francisco

Brief Summary:
The purpose of this study is to examine the effectiveness of approaches to correct for the effects of population stratification on case-control genetic association studies.

Condition or disease
Lung Diseases Asthma

Detailed Description:

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.

Layout table for study information
Study Type : Observational
Actual Enrollment : 800 participants
Observational Model: Family-Based
Time Perspective: Retrospective
Official Title: Case-Control Association Studies and Genetic Confounding
Study Start Date : August 2005
Actual Primary Completion Date : June 2010



Biospecimen Retention:   Samples With DNA
Retrospective genetic analysis of DNA; samples collected between 1998-2001


Information from the National Library of Medicine

Choosing to participate in a study is an important personal decision. Talk with your doctor and family members or friends about deciding to join a study. To learn more about this study, you or your doctor may contact the study research staff using the contacts provided below. For general information, Learn About Clinical Studies.


Layout table for eligibility information
Ages Eligible for Study:   8 Years to 40 Years   (Child, Adult)
Sexes Eligible for Study:   All
Accepts Healthy Volunteers:   No
Sampling Method:   Non-Probability Sample
Study Population
Family-based cross sectional analysis
Criteria
No eligibility criteria; this study will be using existing blood samples of Mexican and Puerto Rican asthmatics, their parents, and control participants who were recruited prior to the study.

Information from the National Library of Medicine

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


Locations
Layout table for location information
United States, California
University of California, San Francisco
San Francisco, California, United States, 94143
Sponsors and Collaborators
University of California, San Francisco
National Heart, Lung, and Blood Institute (NHLBI)
Investigators
Layout table for investigator information
Principal Investigator: Esteban Gonzalez Burchard, MD University of California School of Medicine, San Francisco

Layout table for additonal information
Responsible Party: University of California, San Francisco
ClinicalTrials.gov Identifier: NCT00241709    
Other Study ID Numbers: 1309
R01HL078885 ( U.S. NIH Grant/Contract )
First Posted: October 19, 2005    Key Record Dates
Last Update Posted: March 11, 2013
Last Verified: March 2013
Additional relevant MeSH terms:
Layout table for MeSH terms
Lung Diseases
Respiratory Tract Diseases