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- Title
Maximizing power in association studies.
- Authors
Halperin, Eran; Stephan, Dietrich A
- Abstract
The article discusses the statistical and computational aspects of genome-wide association (GWA) studies, which examine the set of cases and controls at many single nucleotide polymorphisms and identify locations in the genome where disease susceptibility is enhanced by genetic variation. Computational methods have been developed to account for some of the unobserved variants that occur in single nucleotide polymorphisms, including metrics that measure the linkage disequilibrium between a pair of polymorphic sites. Also discussed are computational methods for taking advantage of haplotypes within the constraints of polymorphic sites genotyped via whole-genome platforms.
- Subjects
GENOMICS; GENETIC polymorphism research; GENOMES; GENETICS of disease susceptibility; HUMAN genetic variation; HAPLOIDY; GENETIC research
- Publication
Nature Biotechnology, 2009, Vol 27, Issue 3, p255
- ISSN
1087-0156
- Publication type
Article
- DOI
10.1038/nbt0309-255