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Statistics in Biosciences

, Volume 5, Issue 2, pp 316–329 | Cite as

Interpreting Whole-Genome Marker Data

  • Bruce S. WeirEmail author
Article

Abstract

The challenges of whole-genome data, when genotypes are available from hundreds of thousands of genetic markers, are explored for four topics in statistical genetics: Hardy–Weinberg testing, estimating linkage disequilibrium from unphased genotypic data, association mapping and characterizing population structure.

Keywords

Hardy–Weinberg Linkage disequilibrium Association mapping Population structure SNPs 

Notes

Acknowledgements

This work was supported in part by NIH Grant GM 07591.

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Copyright information

© International Chinese Statistical Association 2013

Authors and Affiliations

  1. 1.Department of BiostatisticsUniversity of WashingtonSeattleUSA

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