Discover Community Create You

Loading publication...

Noodle always counts identifier-free feature events for service operation. With your permission, Google Analytics can also estimate audience and engagement. Search text, publication identifiers, cookies, IP addresses and browser fingerprints are never included in Noodle's first-party event counters.

Privacy details

Article

Multi-ancestry Mendelian randomization of omics traits revealing drug targets of COVID-19 severity.

EBioMedicine - 1 Jul 2022

Zheng Jie, Zhang Yuemiao, Zhao Huiling, Liu Yi, Baird Denis, Karim Mohd Anisul, Ghoussaini Maya, Schwartzentruber Jeremy, Dunham Ian, Elsworth Benjamin, Roberts Katherine, Compton Hannah, Miller-Molloy Felix, Liu Xingzi, Wang Lin, Zhang Hong, Smith George Davey, Gaunt Tom R

Abstract excerpt

BACKGROUND: Recent omic studies prioritised several drug targets associated with coronavirus disease 2019 (COVID-19) severity. However, little evidence was provided to systematically estimate the effect of drug targets on COVID-19 severity in multiple ancestries. METHODS: In this study, we applied Mendelian randomization (MR) and colocalization approaches to understand the putative causal effects of 16,059...

Read the complete abstract on PubMed

Topics

Share this publication in a Topic to start or enrich a Post.

Share to COVID-19
Share to COVID-19 Drug Treatment

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Share to Genetic Associations and Epidemiology

Share to Genome-Wide Association Study

Share to Mendelian Randomization Analysis

Share to Odds Ratio

Share to Phenotype

Share to Polymorphism, Single Nucleotide

Source

Open in PubMed Open full text

Identifiers

PMID: 35772218
DOI: 10.1016/j.ebiom.2022.104112
PMCID: PMC9235320

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 4 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

Multi-ancestry Mendelian randomization of omics traits revealing drug targets of COVID-19 severity.PMID 35772218Read ↗

Multi-Ancestry Mendelian Randomization of Omics Traits Revealing Putative Drug Targets of COVID-19 SeveritySemantic proximity Read ↗

Multi-ancestry omic Mendelian randomization revealing putative drug targets of COVID-19 severitySemantic proximity Read ↗

Multi-omics highlights ABO plasma protein as a causal risk factor for COVID-19.Semantic proximity Read ↗

A year of Covid-19 GWAS results from the GRASP portal reveals potential SARS-CoV-2 modifiersSemantic proximity Read ↗

Multi-omics highlights ABO plasma protein as a causal risk factor for COVID-19Semantic proximity Read ↗

A Network Medicine Approach to Investigation and Population-based Validation of Disease Manifestations and Drug Repurposing for COVID-19Semantic proximity Read ↗

Proteome-wide Mendelian randomization in global biobank meta-analysis reveals multi-ancestry drug targets for common diseasesSemantic proximity Read ↗

Exploiting shared omics architecture and causal association between complex traits and COVID-19Semantic proximity Read ↗

A year of COVID-19 GWAS results from the GRASP portal reveals potential genetic risk factorsSemantic proximity Read ↗

Proteome-wide Mendelian randomization identifies causal links between blood proteins and severe COVID-19.Semantic proximity Read ↗

Unraveling Risk Genes of COVID-19 by Multi-Omics Integrative AnalysesSemantic proximity Read ↗

Single-cell transcriptome-wide Mendelian randomization and colocalization reveals immune-mediated regulatory mechanisms and drug targets for COVID-19Semantic proximity Read ↗

⌁Select a neighboring publication to make it the new centre.