TIGA: Target Illumination GWAS Analytics

Overview

Journal Bioinformatics

Publisher Oxford University Press

Specialty Biology

Date 2021 Jun 4

PMID 34086846

Citations 7

Authors

Jeremy J Yang

Dhouha Grissa

Christophe G Lambert

Cristian G Bologa

Stephen L Mathias

Anna Waller

David J Wild

Lars Juhl Jensen

Tudor I Oprea

Affiliations

Soon will be listed here.

Abstract

Motivation: Genome-wide association studies can reveal important genotype-phenotype associations; however, data quality and interpretability issues must be addressed. For drug discovery scientists seeking to prioritize targets based on the available evidence, these issues go beyond the single study.

Results: Here, we describe rational ranking, filtering and interpretation of inferred gene-trait associations and data aggregation across studies by leveraging existing curation and harmonization efforts. Each gene-trait association is evaluated for confidence, with scores derived solely from aggregated statistics, linking a protein-coding gene and phenotype. We propose a method for assessing confidence in gene-trait associations from evidence aggregated across studies, including a bibliometric assessment of scientific consensus based on the iCite relative citation ratio, and meanRank scores, to aggregate multivariate evidence.This method, intended for drug target hypothesis generation, scoring and ranking, has been implemented as an analytical pipeline, available as open source, with public datasets of results, and a web application designed for usability by drug discovery scientists.

Availability And Implementation: Web application, datasets and source code via https://unmtid-shinyapps.net/tiga/.

Supplementary Information: Supplementary data are available at Bioinformatics online.

Citing Articles

A network-based systems genetics framework identifies pathobiology and drug repurposing in Parkinson's disease.

Dou L, Xu Z, Xu J, Zang C, Su C, Pieper A NPJ Parkinsons Dis. 2025; 11(1):22.

PMID: 39837893 PMC: 11751448. DOI: 10.1038/s41531-025-00870-y.

Overview of the Knowledge Management Center for Illuminating the Druggable Genome.

Oprea T, Bologa C, Holmes J, Mathias S, Metzger V, Waller A Drug Discov Today. 2024; 29(3):103882.

PMID: 38218214 PMC: 10939799. DOI: 10.1016/j.drudis.2024.103882.

Illuminating the druggable genome: Pathways to progress.

Sharma K, Colvis C, Rodgers G, Sheeley D Drug Discov Today. 2023; 29(3):103805.

PMID: 37890715 PMC: 10939933. DOI: 10.1016/j.drudis.2023.103805.

Mini review: Targeting below-ground plant performance to improve nitrogen use efficiency (NUE) in barley.

Huang C, Butterly C, Moody D, Pourkheirandish M Front Genet. 2023; 13:1060304.

PMID: 36935938 PMC: 10017981. DOI: 10.3389/fgene.2022.1060304.

Pharos 2023: an integrated resource for the understudied human proteome.

Kelleher K, Sheils T, Mathias S, Yang J, Metzger V, Siramshetty V Nucleic Acids Res. 2023; 51(D1):D1405-D1416.

PMID: 36624666 PMC: 9825581. DOI: 10.1093/nar/gkac1033.

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