Genomic screening and replication using the same data set in family-based association testing - PubMed (original) (raw)
doi: 10.1038/ng1582. Epub 2005 Jun 5.
Matthew B McQueen, Alan Herbert, Benjamin Raby, Helen Lyon, Dawn L Demeo, Amy Murphy, Jessica Su, Soma Datta, Carsten Rosenow, Michael Christman, Edwin K Silverman, Nan M Laird, Scott T Weiss, Christoph Lange
Affiliations
- PMID: 15937480
- DOI: 10.1038/ng1582
Genomic screening and replication using the same data set in family-based association testing
Kristel Van Steen et al. Nat Genet. 2005 Jul.
Abstract
The Human Genome Project and its spin-offs are making it increasingly feasible to determine the genetic basis of complex traits using genome-wide association studies. The statistical challenge of analyzing such studies stems from the severe multiple-comparison problem resulting from the analysis of thousands of SNPs. Our methodology for genome-wide family-based association studies, using single SNPs or haplotypes, can identify associations that achieve genome-wide significance. In relation to developing guidelines for our screening tools, we determined lower bounds for the estimated power to detect the gene underlying the disease-susceptibility locus, which hold regardless of the linkage disequilibrium structure present in the data. We also assessed the power of our approach in the presence of multiple disease-susceptibility loci. Our screening tools accommodate genomic control and use the concept of haplotype-tagging SNPs. Our methods use the entire sample and do not require separate screening and validation samples to establish genome-wide significance, as population-based designs do.
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