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Genomic screening in family-based association testing
Murphy, A.; McGueen, M. B.; Su, J. et al.
2005In BMC Genetics, 6
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Keywords :
linkage disequilibrium; phenotypes; powerful; eeg
Abstract :
[en] Due to the recent gains in the availability of single-nucleotide polymorphism data, genome-wide association testing has become feasible. It is hoped that this additional data may confirm the presence of disease susceptibility loci, and identify new genetic determinants of disease. However, the problem of multiple comparisons threatens to diminish any potential gains from this newly available data. To circumvent the multiple comparisons issue, we utilize a recently developed screening technique using family-based association testing. This screening methodology allows for the identification of the most promising single-nucleotide polymorphisms for testing without biasing the nominal significance level of our test statistic. We compare the results of our screening technique across univariate and multivariate family-based association tests. From our analyses, we observe that the screening technique, applied to different settings, is fairly consistent in identifying optimal markers for testing. One of the identified markers, TSC0047225, was significantly associated with both the ttth1 (p=0.004) and ttth1-ttth4 (p=0.004) phenotype(s). We find that both univariate- and multivariate-based screening techniques are powerful tools for detecting an association.
Disciplines :
Genetics & genetic processes
Author, co-author :
Murphy, A.
McGueen, M. B.
Su, J.
Kraft, P.
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 :
Genomic screening in family-based association testing
Publication date :
2005
Journal title :
BMC Genetics
eISSN :
1471-2156
Publisher :
BioMed Central, London, United Kingdom
Volume :
6
Peer reviewed :
Peer Reviewed verified by ORBi
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since 24 May 2010

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