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GeneLink: a database to facilitate genetic studies of complex traits.

Authors :
Gillanders, Elizabeth M.
Masiello, Anthony
Gildea, Derek
Umayam, Lowell
Duggal, Priya
Jones, Mary Pat
Klein, Alison P.
Freas-Lutz, Diana
Ibay, Grace
Trout, Ken
Wolfsberg, Tyra G.
Trent, Jeffrey M.
Bailey-Wilson, Joan E.
Baxevanis, Andreas D.
Source :
BMC Genomics; 2004, Vol. 5, p81-14, 14p, 10 Diagrams
Publication Year :
2004

Abstract

Background: In contrast to gene-mapping studies of simple Mendelian disorders, genetic analyses of complex traits are far more challenging, and high quality data management systems are often critical to the success of these projects. To minimize the difficulties inherent in complex trait studies, we have developed GeneLink, a Web-accessible, password-protected Sybase database. Results: GeneLink is a powerful tool for complex trait mapping, enabling genotypic data to be easily merged with pedigree and extensive phenotypic data. Specifically designed to facilitate large-scale (multi-center) genetic linkage or association studies, GeneLink securely and efficiently handles large amounts of data and provides additional features to facilitate data analysis by existing software packages and quality control. These include the ability to download chromosome-specific data files containing marker data in map order in various formats appropriate for downstream analyses (e.g., GAS and LINKAGE). Furthermore, an unlimited number of phenotypes (either qualitative or quantitative) can be stored and analyzed. Finally, GeneLink generates several quality assurance reports, including genotyping success rates of specified DNA samples or success and heterozygosity rates for specified markers. Conclusions: GeneLink has already proven an invaluable tool for complex trait mapping studies and is discussed primarily in the context of our large, multi-center study of hereditary prostate cancer (HPC). GeneLink is freely available at http://research.nhgri.nih.gov/genelink. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
14712164
Volume :
5
Database :
Complementary Index
Journal :
BMC Genomics
Publication Type :
Academic Journal
Accession number :
28859371
Full Text :
https://doi.org/10.1186/1471-2164-5-81