The Association between SNPs and a Quantitative Trait: Power Calculation

European Journal of Environment and Public Health

Mohammed F. Faramawi¹  Dongjun Chung¹  Robert Delongchamp²  Eleanor Feingold²  Saly Abouelenein³ 

[1] Department of Biomedical Informatics, College of Medicine, University of Arkansas for Medical Sciences, USA;Department of Epidemiology, College of Public Health, University of Arkansas for Medical Sciences, Little Rock, AR, USA;Department of Human Genetics- Graduate School of Public Health, University of Pittsburgh, PA, USA

关键词: statistics as topic;    genome-wide association study;    sample size;    quantitative trait loci;   

DOI  :  10.20897/ejeph/3925

学科分类：地球科学(综合)

来源: Lectito Journals

【 摘 要 】

A power calculation for a study with a quantitative outcome requires information on the outcome distribution under the alternative hypothesis.  Researchers face challenges when they concisely specify alternative distributions in genetic studies because power depends on genotype frequencies and the average effect of each genotype.  In GWAS, investigators evaluate hundreds of thousands of associations; therefore it is unrealistic to specify gene frequencies and gene effects for each test and some simplification is needed.  Software packages are available to calculate power, but many of them have limited flexibility and / or may have a steep learning curve. In this review, we describe to researchers and graduate students the essentials of a power calculation for testing for an association between a quantitative trait and genotypes.  In addition, we provide them with the codes of the different available software packages—free and commercial—to calculate this power.  The calculations can be carried out using virtually any computer language that computes the cumulative distribution function of a non-central F-distribution.

【 授权许可】

CC BY