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LAVAA: a lightweight association viewer across ailments

MOTIVATION: Biobank scale genetic associations results over thousands of traits can be difficult to visualize and navigate. RESULTS: We have created LAVAA, a visualization web-application to generate genetic volcano plots for simultaneously considering the P-value, effect size, case counts, trait cl...

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Detalles Bibliográficos
Autores principales: Fauman, Eric B, Keppo, Stella, Cerioli, Nicola, Vyas, Rupesh, Kurki, Mitja, Daly, Mark, Reeve, Mary Pat
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9998102/
https://www.ncbi.nlm.nih.gov/pubmed/36908397
http://dx.doi.org/10.1093/bioadv/vbad018
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author Fauman, Eric B
Keppo, Stella
Cerioli, Nicola
Vyas, Rupesh
Kurki, Mitja
Daly, Mark
Reeve, Mary Pat
author_facet Fauman, Eric B
Keppo, Stella
Cerioli, Nicola
Vyas, Rupesh
Kurki, Mitja
Daly, Mark
Reeve, Mary Pat
author_sort Fauman, Eric B
collection PubMed
description MOTIVATION: Biobank scale genetic associations results over thousands of traits can be difficult to visualize and navigate. RESULTS: We have created LAVAA, a visualization web-application to generate genetic volcano plots for simultaneously considering the P-value, effect size, case counts, trait class and fine-mapping posterior probability at a single-nucleotide polymorphism (SNP) across a range of traits from a large set of genome-wide association study. We find that user interaction with association results in LAVAA can enrich and enhance the biological interpretation of individual loci. AVAILABILITY AND IMPLEMENTATION: LAVAA is available as a stand-alone web service (https://geneviz.aalto.fi/LAVAA/) and will be available in future releases of the finngen.fi website starting with release 10 in late 2023.
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spelling pubmed-99981022023-03-10 LAVAA: a lightweight association viewer across ailments Fauman, Eric B Keppo, Stella Cerioli, Nicola Vyas, Rupesh Kurki, Mitja Daly, Mark Reeve, Mary Pat Bioinform Adv Application Note MOTIVATION: Biobank scale genetic associations results over thousands of traits can be difficult to visualize and navigate. RESULTS: We have created LAVAA, a visualization web-application to generate genetic volcano plots for simultaneously considering the P-value, effect size, case counts, trait class and fine-mapping posterior probability at a single-nucleotide polymorphism (SNP) across a range of traits from a large set of genome-wide association study. We find that user interaction with association results in LAVAA can enrich and enhance the biological interpretation of individual loci. AVAILABILITY AND IMPLEMENTATION: LAVAA is available as a stand-alone web service (https://geneviz.aalto.fi/LAVAA/) and will be available in future releases of the finngen.fi website starting with release 10 in late 2023. Oxford University Press 2023-02-15 /pmc/articles/PMC9998102/ /pubmed/36908397 http://dx.doi.org/10.1093/bioadv/vbad018 Text en © The Author(s) 2023. Published by Oxford University Press. 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 reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Application Note
Fauman, Eric B
Keppo, Stella
Cerioli, Nicola
Vyas, Rupesh
Kurki, Mitja
Daly, Mark
Reeve, Mary Pat
LAVAA: a lightweight association viewer across ailments
title LAVAA: a lightweight association viewer across ailments
title_full LAVAA: a lightweight association viewer across ailments
title_fullStr LAVAA: a lightweight association viewer across ailments
title_full_unstemmed LAVAA: a lightweight association viewer across ailments
title_short LAVAA: a lightweight association viewer across ailments
title_sort lavaa: a lightweight association viewer across ailments
topic Application Note
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9998102/
https://www.ncbi.nlm.nih.gov/pubmed/36908397
http://dx.doi.org/10.1093/bioadv/vbad018
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