ITEM METADATA RECORD
Title: Selection of genes and single nucleotide polymorphisms for fine mapping starting from a broad linkage region
Authors: Windelinckx, An
Vlietinck, Robert
Aerssens, Jeroen
Beunen, Gaston
Thomis, Martine # ×
Issue Date: Dec-2007
Series Title: Twin research and human genetics : the official journal of the International Society for Twin Studies vol:10 issue:6 pages:871-885
Abstract: Abstract Fine mapping of linkage peaks is one of the great challenges facing researchers who try to identify genes and genetic variants responsible for the variation in a certain trait or complex disease. Once the trait is linked to a certain chromosomal region, most studies use a candidate gene approach followed by a selection of polymorphisms within these genes, either based on their possibility to be functional, or based on the linkage disequilibrium between adjacent markers. For both candidate gene selection and SNP selection, several approaches have been described, and different software tools are available. However, mastering all these information sources and choosing between the different approaches can be difficult and time-consuming. Therefore, this article lists several of these in silico procedures, and the authors describe an empirical two-step fine mapping approach, in which candidate genes are prioritized using a bioinformatics approach (ENDEAVOUR), and the top genes are chosen for further SNP selection with a linkage disequilibrium based method (Tagger). The authors present the different actions that were applied within this approach on two previously identified linkage regions for muscle strength. This resulted in the selection of 331 polymorphisms located in 112 different candidate genes out of an initial set of 23,300 SNPs.
ISSN: 1832-4274
Publication status: published
KU Leuven publication type: IT
Appears in Collections:Exercise Physiology Research Group
Clinical Genetics Section (-)
Department of Kinesiology - miscellaneous
Physical Activity, Sports & Health Research Group
× corresponding author
# (joint) last author

Files in This Item:

There are no files associated with this item.

Request a copy

 




All items in Lirias are protected by copyright, with all rights reserved.

© Web of science