LAVAA: A lightweight association viewer across ailments

Eric B Fauman*, Stella Keppo, Nicola Cerioli, Rupesh Vyas, Mitja Kurki, Mark J. Daly, Mary Pat Reeve

*Corresponding author for this work

Research output: Contribution to journalArticleScientificpeer-review

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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 singlenucleotide 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 ( and will be available in future releases of the website starting with release 10 in late 2023.

Original languageEnglish
Article numbervbad018
Number of pages7
JournalBioinformatics Advances
Issue number1
Early online date15 Feb 2023
Publication statusPublished - 2023
MoE publication typeA1 Journal article-refereed


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