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The Association between SNPs and a Quantitative Trait: Power Calculation
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 av...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6599598/ https://www.ncbi.nlm.nih.gov/pubmed/31259311 http://dx.doi.org/10.20897/ejeph/3925 |
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author | Delongchamp, Robert Faramawi, Mohammed F. Feingold, Eleanor Chung, Dongjun Abouelenein, Saly |
author_facet | Delongchamp, Robert Faramawi, Mohammed F. Feingold, Eleanor Chung, Dongjun Abouelenein, Saly |
author_sort | Delongchamp, Robert |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-6599598 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
record_format | MEDLINE/PubMed |
spelling | pubmed-65995982019-06-30 The Association between SNPs and a Quantitative Trait: Power Calculation Delongchamp, Robert Faramawi, Mohammed F. Feingold, Eleanor Chung, Dongjun Abouelenein, Saly Eur J Environ Public Health Article 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. 2018-10-16 2018 /pmc/articles/PMC6599598/ /pubmed/31259311 http://dx.doi.org/10.20897/ejeph/3925 Text en http://creativecommons.org/licenses/by-nc/3.0/ This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Article Delongchamp, Robert Faramawi, Mohammed F. Feingold, Eleanor Chung, Dongjun Abouelenein, Saly The Association between SNPs and a Quantitative Trait: Power Calculation |
title | The Association between SNPs and a Quantitative Trait: Power Calculation |
title_full | The Association between SNPs and a Quantitative Trait: Power Calculation |
title_fullStr | The Association between SNPs and a Quantitative Trait: Power Calculation |
title_full_unstemmed | The Association between SNPs and a Quantitative Trait: Power Calculation |
title_short | The Association between SNPs and a Quantitative Trait: Power Calculation |
title_sort | association between snps and a quantitative trait: power calculation |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6599598/ https://www.ncbi.nlm.nih.gov/pubmed/31259311 http://dx.doi.org/10.20897/ejeph/3925 |
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