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.
journal_name
Nat Genetjournal_title
Nature geneticsauthors
Van Steen K,McQueen MB,Herbert A,Raby B,Lyon H,Demeo DL,Murphy A,Su J,Datta S,Rosenow C,Christman M,Silverman EK,Laird NM,Weiss ST,Lange Cdoi
10.1038/ng1582keywords:
subject
Has Abstractpub_date
2005-07-01 00:00:00pages
683-91issue
7eissn
1061-4036issn
1546-1718pii
ng1582journal_volume
37pub_type
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