Menashe Idan, Rosenberg Philip S, Chen Bingshu E
Biostatistics Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institute of Health, Department of Health and Human Services, Rockville, MD, USA.
BMC Genet. 2008 May 13;9:36. doi: 10.1186/1471-2156-9-36.
Statistical 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.
We 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.
PGA 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.
统计效能计算为基因关联研究的设计和解释提供依据,但很少有程序专门针对无关个体中单核苷酸多态性(SNP)的病例对照研究。
我们开发了“基因关联分析效能”(PGA)软件包,它包含算法和图形用户界面,可在不同遗传模型和研究限制条件下,利用SNP或单倍型效应进行样本量和最小可检测风险计算。该软件考虑了连锁不平衡和统计多重比较。结果以图表形式呈现,可打印或导出为标准文件格式。
PGA是一款用户友好型软件,可促进候选基因关联研究、精细定位研究和全基因组扫描的决策制定。独立可执行文件和Matlab工具箱可从以下网址下载:http://dceg.cancer.gov/bb/tools/pga 。