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BMC Genetics

, 9:36

First Online: 13 May 2008Received: 24 January 2008Accepted: 13 May 2008

Abstract

BackgroundStatistical power calculations inform the design and interpretation of genetic association studies, but few programs are tailored to case-control studies of single nucleotide polymorphisms SNPs in unrelated subjects.

ResultsWe have developed the -Power for Genetic Association analyses- PGA package which comprises algorithms and graphical user interfaces for sample size and minimum detectable risk calculations using SNP or haplotype effects under different genetic models and study constrains. The software accounts for linkage disequilibrium and statistical multiple comparisons. The results are presented in graphs or tables and can be printed or exported in standard file formats.

ConclusionPGA is user friendly software that can facilitate decision making for association studies of candidate genes, fine-mapping studies, and whole-genome scans. Stand-alone executable files and a Matlab toolbox are available for download at: http:-dceg.cancer.gov-bb-tools-pga

Electronic supplementary materialThe online version of this article doi:10.1186-1471-2156-9-36 contains supplementary material, which is available to authorized users.

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Autor: Idan Menashe - Philip S Rosenberg - Bingshu E Chen

Fuente: https://link.springer.com/article/10.1186/1471-2156-9-36







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