Ignite Creation Date:
2024-05-05 @ 11:26 AM
Last Modification Date:
2024-10-26 @ 9:08 AM
Study NCT ID:
NCT00049855
Status:
COMPLETED
Last Update Posted:
2014-04-17
First Post:
2002-11-14
Brief Title:
Novel Approaches in Linkage Analysis for Complex Traits
Sponsor:
Mayo Clinic
Organization:
Mayo Clinic
Study Overview
Official Title:
None
Status:
COMPLETED
Status Verified Date:
2014-04
Last Known Status:
None
Delayed Posting:
No
If Stopped, Why?:
Not Stopped
Has Expanded Access:
False
If Expanded Access, NCT#:
N/A
Has Expanded Access, NCT# Status:
N/A
Acronym:
None
Brief Summary:
To develop new statistical methods to explore genetic mechanisms that contribute to the development of hypertension
Detailed Description:
BACKGROUND
Hypertension affects 50 million Americans and is the single greatest risk factor contributing to diseases of the brain heart and kidneys There is a strong evidence that hypertension has a genetic basis The study will develop novel approaches to better understand the genetic mechanisms contributing to measures of blood pressure BP level diagnostic category hypertension versus normotension and correlated traits
DESIGN NARRATIVE
This genetic epidemiology study will develop novel approaches to better understand the genetic mechanisms contributing to measures of blood pressure BP level diagnostic category hypertension versus normotension and correlated traits The first aim is to localize genes influencing measures of blood pressure levels diagnostic category and their correlates This will be done by applying genome-wide multivariate linkage analyses based on the variance components approach and utilizing clusters of traits correlated with measures of blood pressure andor diagnostics category The second aim is to develop exploratory diagnostic tools for linkage analysis of complex traits to further enhance our ability to localize genes influencing measures of blood pressure diagnostic category and their correlates This will be done by extending the diagnostic tools used in regression analysis to the variance components approach used for linkage analysis of quantitative traits In this study for example it can be used to identify outlier families since previous studies have shown that families with outlier values yield false-positive results Tree-structure models will also be extended to pedigree data Tree-based modeling is an exploratory technique for uncovering structure in the data The use of tree-structure models is advantageous because no assumptions are necessary to explore the data structure or to derive parsimonious model These models are accurate classifiers binary outcome and predictors quantitative outcomes All these tools will be incorporated in the S-Plus software as a function S-Plus was selected due to its capability and flexibility for analyzing large data sets
Hypertension affects 50 million Americans and is the single greatest risk factor contributing to diseases of the brain heart and kidneys There is a strong evidence that hypertension has a genetic basis The study will develop novel approaches to better understand the genetic mechanisms contributing to measures of blood pressure BP level diagnostic category hypertension versus normotension and correlated traits
DESIGN NARRATIVE
This genetic epidemiology study will develop novel approaches to better understand the genetic mechanisms contributing to measures of blood pressure BP level diagnostic category hypertension versus normotension and correlated traits The first aim is to localize genes influencing measures of blood pressure levels diagnostic category and their correlates This will be done by applying genome-wide multivariate linkage analyses based on the variance components approach and utilizing clusters of traits correlated with measures of blood pressure andor diagnostics category The second aim is to develop exploratory diagnostic tools for linkage analysis of complex traits to further enhance our ability to localize genes influencing measures of blood pressure diagnostic category and their correlates This will be done by extending the diagnostic tools used in regression analysis to the variance components approach used for linkage analysis of quantitative traits In this study for example it can be used to identify outlier families since previous studies have shown that families with outlier values yield false-positive results Tree-structure models will also be extended to pedigree data Tree-based modeling is an exploratory technique for uncovering structure in the data The use of tree-structure models is advantageous because no assumptions are necessary to explore the data structure or to derive parsimonious model These models are accurate classifiers binary outcome and predictors quantitative outcomes All these tools will be incorporated in the S-Plus software as a function S-Plus was selected due to its capability and flexibility for analyzing large data sets
Study Oversight
Has Oversight DMC:
Is a FDA Regulated Drug?:
Is a FDA Regulated Device?:
Is an Unapproved Device?:
Is a PPSD?:
Is a US Export?:
Is an FDA AA801 Violation?:
Secondary IDs
| Secondary ID | Type | Domain | Link |
|---|---|---|---|
| R01HL071917 | NIH | None | httpsreporternihgovquickSearchR01HL071917 |