Article (Scientific journals)
Comparison of linkage and association strategies for quantitative traits using the COGA dataset.
McQueen, M. B.; Murphy, A.; Kraft, P. et al.
2005In BMC Genetics, 6 (Suppl I), p. 96
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Abstract :
[en] ABSTRACT : Genome scans using dense single-nucleotide polymorphism (SNP) data have recently become a reality. It is thought that the increase in information content for linkage analysis as a result of the denser scans will help refine previously identified linkage regions and possibly identify new regions not identifiable using the sparser, microsatellite scans. In the context of the dense SNP scans, it is also possible to consider association strategies to provide even more information about potential regions of interest. To circumvent the multiple-testing issues inherent in association analysis, we use a recently developed strategy, implemented in PBAT, which screens the data to identify the optimal SNPs for testing, without biasing the nominal significance level. We compare the results from the PBAT analysis to that of quantitative linkage analysis on chromosome 4 using the Collaborative Study on the Genetics of Alcoholism data, as released through Genetic Analysis Workshop 14.
Disciplines :
Genetics & genetic processes
Author, co-author :
McQueen, M. B.
Murphy, A.
Kraft, P.
Su, J.
Lazarus, R.
Laird, N. M.
Lange, C.
Van Steen, Kristel  ;  Université de Liège - ULiège > Dép. d'électric., électron. et informat. (Inst.Montefiore) > Bioinformatique
Language :
English
Title :
Comparison of linkage and association strategies for quantitative traits using the COGA dataset.
Publication date :
2005
Journal title :
BMC Genetics
eISSN :
1471-2156
Publisher :
BioMed Central
Volume :
6
Issue :
Suppl I
Pages :
S96
Peer reviewed :
Peer Reviewed verified by ORBi
Available on ORBi :
since 22 May 2010

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