Enhanced Linkage Maps From Family-Based Genetics Studies
|Study Start Date:||September 2002|
|Estimated Study Completion Date:||August 2005|
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.
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).
Please refer to this study by its ClinicalTrials.gov identifier: NCT00049868
|Investigator:||Tara Matise||Rutgers, The State University of New Jersey|