Please use this identifier to cite or link to this item: http://dl.umsu.ac.ir/handle/Hannan/25401
Title: Genomic Screening in Family-Based Association Testing
Authors: Murphy, Amy;McQueen, Matthew B;Kraft, Peter;Van Steen, Kristel;Su, Jessica Ann Lasky;Lazarus, Ross;Laird, Nan M.;Lange, Christoph
Year: 2005
Publisher: BioMed Central
Description: 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.
URI: http://www.ncbi.nlm.nih.gov/pmc/articles/PMC1866823/pdf/
http://nrs.harvard.edu/urn-3:HUL.InstRepos:5025436
Standard no: Murphy, Amy, Matthew B. McQueen, Jessica Su, Peter Kraft, Ross Lazarus, Nan M. Laird, Christoph Lange, and Kristel Van Steen. 2005. Genomic screening in family-based association testing. BMC Genetics 6(Suppl 1):S115.
1471-2156
Appears in Collections:HMS Scholarly Articles

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