Enhanced Linkage Maps From Family-Based Genetics Studies

NCT ID: NCT00049868

Last Updated: 2020-09-25

Study Results

Results pending

The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.

Basic Information

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Recruitment Status

COMPLETED

Total Enrollment

1 participants

Study Classification

OBSERVATIONAL

Study Start Date

2002-09-30

Study Completion Date

2005-08-31

Brief Summary

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To develop genetic maps for the genome-wide screening markers used by multiple investigators and to investigate map differences between sexes and different ethnic groups.

Detailed Description

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BACKGROUND:

Meiotic linkage maps are the foundation of both linkage and linkage disequilibrium studies for mapping disease genes. Despite the importance of precise maps, existing genome-wide linkage maps were built using only a small collection of pedigrees, and so have wide confidence intervals surrounding estimates of map distance. Incorrect marker order and map distances can have a profound effect on linkage analyses. Using a sex-averaged map instead of a sex-specific map biases the lod scores upward, markedly increasing the false positive rate. Since it is very costly to follow-up many false-positive results, there is a clear need for more precise and accurate sex-specific genetic maps. Accurate estimates of meiotic map distance cannot be obtained by any means other than by linkage analysis using genotype data.

The study is in response to a Request for Applications entitled "NHLBI Innovative Research Grant Program" released in July, 2001. The purpose of the initiative is to support new approaches to heart, lung, and blood diseases and sleep disorders that use existing data sets or existing biological specimen collections whether obtained through National Heart, Lung, and Blood Institute support or not.

DESIGN NARRATIVE:

The genetic epidemiology study will build improved highly-precise sex-specific linkage maps utilizing thousands of individuals who have previously been genotyped. After filtering out obvious relationship and genotype errors, the study will incorporate methods that properly model for genotyping errors. In addition to creating precise maps for the scientific community, the study will also use these genotype data to study how recombination may vary between ethnic groups. The genotypes generated by the NHLBI Mammalian Genotyping Service are precisely the type of data required to produce more accurate maps. These data collections contain over 3,400 pedigrees with more than a 100-fold increase in information compared to that contained in the 8 CEPH families that have been used to construct current genome-wide linkage maps. The new maps will be made publicly available and the genotype data from the study will be accessible by the MAP-0-MAT linkage mapping server. In the future, the study will be broadened to incorporate genotype data from additional genotyping centers such as the Center for Inherited Disease Research (CIDR).

Conditions

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Cardiovascular Diseases

Study Design

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Observational Model Type

OTHER

Study Time Perspective

OTHER

Eligibility Criteria

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Inclusion Criteria

No eligibility criteria
Minimum Eligible Age

0 Years

Maximum Eligible Age

100 Years

Eligible Sex

ALL

Accepts Healthy Volunteers

No

Sponsors

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National Heart, Lung, and Blood Institute (NHLBI)

NIH

Sponsor Role collaborator

Rutgers University

OTHER

Sponsor Role lead

Principal Investigators

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Tara Matise

Role:

Rutgers, The State University of New Jersey

Other Identifiers

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R01HL071029

Identifier Type: NIH

Identifier Source: secondary_id

View Link

1203

Identifier Type: -

Identifier Source: org_study_id

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