Next Article in Journal
Assessing Anthocyanin Biosynthesis in Solanaceae as a Model Pathway for Secondary Metabolism
Next Article in Special Issue
Eukaryote Genes Are More Likely than Prokaryote Genes to Be Composites
Previous Article in Journal
Balancing the Photoreceptor Proteome: Proteostasis Network Therapeutics for Inherited Retinal Disease
Previous Article in Special Issue
Pangloss: A Tool for Pan-Genome Analysis of Microbial Eukaryotes
Open AccessArticle

GWEHS: A Genome-Wide Effect Sizes and Heritability Screener

Departamento de Bioquímica, Genética e Inmunología, Universidade de Vigo, 36310 Vigo, Spain
*
Author to whom correspondence should be addressed.
Genes 2019, 10(8), 558; https://doi.org/10.3390/genes10080558
Received: 10 June 2019 / Revised: 16 July 2019 / Accepted: 18 July 2019 / Published: 24 July 2019
(This article belongs to the Special Issue Tools for Population and Evolutionary Genetics)
During the last decade, there has been a huge development of Genome-Wide Association Studies (GWAS), and thousands of loci associated to complex traits have been detected. These efforts have led to the creation of public databases of GWAS results, making a huge source of information available on the genetic background of many diverse traits. Here we present GWEHS (Genome-Wide Effect size and Heritability Screener), an open-source online application to screen loci associated to human complex traits and diseases from the NHGRI-EBI GWAS Catalog. This application provides a way to explore the distribution of effect sizes of loci affecting these traits, as well as their contribution to heritability. Furthermore, it allows for making predictions on the change in the expected mean effect size, as well as in the heritability as new loci are found. The application enables inferences on whether the additive contribution of loci expected to be discovered in the future will be able to explain the estimates of familial heritability for the different traits. We illustrate the use of this tool, compare some of the results obtained with those from a previous meta-analysis, and discuss its uses and limitations. View Full-Text
Keywords: GWAS; missing heritability; prediction of complex traits; big data GWAS; missing heritability; prediction of complex traits; big data
Show Figures

Figure 1

MDPI and ACS Style

López-Cortegano, E.; Caballero, A. GWEHS: A Genome-Wide Effect Sizes and Heritability Screener. Genes 2019, 10, 558.

Show more citation formats Show less citations formats
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Access Map

1
Back to TopTop