Autor: |
Van Steen, Kristel, McQueen, Matthew B., Herbert, Alan, Raby, Benjamin, Lyon, Helen, DeMeo, Dawn L., Murphy, Amy, Su, Jessica, Datta, Soma, Rosenow, Carsten, Christman, Michael, Silverman, Edwin K., Laird, Nan M., Weiss, Scott T., Lange, Christoph |
Předmět: |
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Zdroj: |
Nature Genetics; Jul2005, Vol. 37 Issue 7, p683-691, 9p |
Abstrakt: |
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. [ABSTRACT FROM AUTHOR] |
Databáze: |
Complementary Index |
Externí odkaz: |
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