Cargando…
Gene action, genetic variation, and GWAS: A user-friendly web tool
Fisher’s partitioning of genotypic values and genetic variance is highly relevant in the current era of genome-wide association studies (GWASs). However, despite being more than a century old, a number of persistent misconceptions related to nonadditive genetic effects remain. We developed a user-fr...
Autores principales: | , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8136673/ https://www.ncbi.nlm.nih.gov/pubmed/34014919 http://dx.doi.org/10.1371/journal.pgen.1009548 |
_version_ | 1783695474612502528 |
---|---|
author | Hivert, Valentin Wray, Naomi R. Visscher, Peter M. |
author_facet | Hivert, Valentin Wray, Naomi R. Visscher, Peter M. |
author_sort | Hivert, Valentin |
collection | PubMed |
description | Fisher’s partitioning of genotypic values and genetic variance is highly relevant in the current era of genome-wide association studies (GWASs). However, despite being more than a century old, a number of persistent misconceptions related to nonadditive genetic effects remain. We developed a user-friendly web tool, the Falconer ShinyApp, to show how the combination of gene action and allele frequencies at causal loci translate to genetic variance and genetic variance components for a complex trait. The app can be used to demonstrate the relationship between a SNP effect size estimated from GWAS and the variation the SNP generates in the population, i.e., how locus-specific effects lead to individual differences in traits. In addition, it can also be used to demonstrate how within and between locus interactions (dominance and epistasis, respectively) usually do not lead to a large amount of nonadditive variance relative to additive variance, and therefore, that these interactions usually do not explain individual differences in a population. |
format | Online Article Text |
id | pubmed-8136673 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-81366732021-06-02 Gene action, genetic variation, and GWAS: A user-friendly web tool Hivert, Valentin Wray, Naomi R. Visscher, Peter M. PLoS Genet Review Fisher’s partitioning of genotypic values and genetic variance is highly relevant in the current era of genome-wide association studies (GWASs). However, despite being more than a century old, a number of persistent misconceptions related to nonadditive genetic effects remain. We developed a user-friendly web tool, the Falconer ShinyApp, to show how the combination of gene action and allele frequencies at causal loci translate to genetic variance and genetic variance components for a complex trait. The app can be used to demonstrate the relationship between a SNP effect size estimated from GWAS and the variation the SNP generates in the population, i.e., how locus-specific effects lead to individual differences in traits. In addition, it can also be used to demonstrate how within and between locus interactions (dominance and epistasis, respectively) usually do not lead to a large amount of nonadditive variance relative to additive variance, and therefore, that these interactions usually do not explain individual differences in a population. Public Library of Science 2021-05-20 /pmc/articles/PMC8136673/ /pubmed/34014919 http://dx.doi.org/10.1371/journal.pgen.1009548 Text en © 2021 Hivert et al https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Review Hivert, Valentin Wray, Naomi R. Visscher, Peter M. Gene action, genetic variation, and GWAS: A user-friendly web tool |
title | Gene action, genetic variation, and GWAS: A user-friendly web tool |
title_full | Gene action, genetic variation, and GWAS: A user-friendly web tool |
title_fullStr | Gene action, genetic variation, and GWAS: A user-friendly web tool |
title_full_unstemmed | Gene action, genetic variation, and GWAS: A user-friendly web tool |
title_short | Gene action, genetic variation, and GWAS: A user-friendly web tool |
title_sort | gene action, genetic variation, and gwas: a user-friendly web tool |
topic | Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8136673/ https://www.ncbi.nlm.nih.gov/pubmed/34014919 http://dx.doi.org/10.1371/journal.pgen.1009548 |
work_keys_str_mv | AT hivertvalentin geneactiongeneticvariationandgwasauserfriendlywebtool AT wraynaomir geneactiongeneticvariationandgwasauserfriendlywebtool AT visscherpeterm geneactiongeneticvariationandgwasauserfriendlywebtool |