Invited keynote talk: Haplotype sharing for genome-wide case-control association studies

Published

Journal Article

The computational demands imposed by the large number of markers considered in a genome-wide association study (GWAS) have resulted in an extreme simplification in the types of analyses conducted. While sophisticated methodology may be used to adjust for multiple comparisons, most studies are analyzed one marker at a time using simple tests such as the Cochran-Armitage trend test. Though computationally simple, a significant limitation of such an analysis paradigm is its failure to efficiently use the information contained in the GWAS sample. © 2008 Springer-Verlag Berlin Heidelberg.

Full Text

Duke Authors

Cited Authors

  • Allen, AS

Published Date

  • August 27, 2008

Published In

Volume / Issue

  • 4983 LNBI /

Start / End Page

  • 183 -

Electronic International Standard Serial Number (EISSN)

  • 1611-3349

International Standard Serial Number (ISSN)

  • 0302-9743

Digital Object Identifier (DOI)

  • 10.1007/978-3-540-79450-9_17

Citation Source

  • Scopus