Email updates

Keep up to date with the latest news and content from BMC Genetics and BioMed Central.

This article is part of the supplement: Genetic Analysis Workshop 14: Microsatellite and single-nucleotide polymorphism

Open Access Proceedings

Detection of susceptibility loci by genome-wide linkage analysis

Marie-Claude Babron1*, Catherine Bourgain1, Anne-Louise Leutenegger2 and Françoise Clerget-Darpoux1

Author Affiliations

1 INSERM U535, 94817 Villejuif Cedex, Villejuif, France

2 INSERM U679, Paris, France

For all author emails, please log on.

BMC Genetics 2005, 6(Suppl 1):S18  doi:10.1186/1471-2156-6-S1-S18

Published: 30 December 2005

Abstract

The objective of this study is to evaluate the efficacy of a model-free linkage statistics for finding evidence of linkage using two different maps and to illustrate how the comparison of results from several populations might provide insight into the underlying genetic etiology of the disease of interest. The results obtained in terms of detection of the risk loci and threshold for declaring linkage and power are very similar for a dense SNP map and a sparser microsatellite map. The populations differed in terms of family ascertainment and diagnosis criteria, leading to different power to detect the individual underlying disease loci. Our results for the individual replicates are consistent with the disease model used in the simulation.