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

Topics Community

Article

Protocol to search for genetic factors related to severe COVID-19 by analyzing publicly available genome-wide association studies.

STAR protocols - 20 Sept 2024

Zhang Ke, Lin Siyu, Luo Yu-Si, Cheng Zhongshan

Abstract excerpt

COVID-19 casualties vary among different ancestral groups due to a variety of factors. Here, we present a protocol for analyzing publicly available genome-wide association studies (GWASs) to search for ancestry-specific genetic factors related to severe COVID-19. We describe steps for downloading and comparing two COVID-19 GWASs, calculating expression quantitative trait loci, and single-cell gene expression...

Topics

Genome-Wide Association Study
Humans
COVID-19
SARS-CoV-2
Quantitative Trait Loci
Genetic Predisposition to Disease
Polymorphism, Single Nucleotide

Source

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Identifiers

PMID: 39088323
DOI: 10.1016/j.xpro.2024.103028
PMCID: PMC11342177

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 31 Aug 2026.

Community interpretation

Discuss the evidence

Ask a question, add context or challenge an interpretation. Community activity is separate from scientific evidence strength.

0

discussions

0

replies

Citations encouraged

Claims remain attributable.

No discussion yet

Be the first to add a careful, cited interpretation.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

Protocol to search for genetic factors related to severe COVID-19 by analyzing publicly available genome-wide association studies.PMID 39088323Read ↗

A second update on mapping the human genetic architecture of COVID-19Semantic proximity Read ↗

A second update on mapping the human genetic architecture of COVID-19Semantic proximity Read ↗

Genetic correlations between COVID-19 and a variety of traits and diseasesSemantic proximity Read ↗

Initial Review and Analysis of COVID-19 Host Genetics and Associated PhenotypesSemantic proximity Read ↗

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

Trans-ancestry analysis reveals genetic and nongenetic associations with COVID-19 susceptibility and severity.Semantic proximity Read ↗

Mapping the human genetic architecture of COVID-19 by worldwide meta-analysisSemantic proximity Read ↗

A phenome-wide investigation of risk factors for severe COVID-19.Semantic proximity Read ↗

Genetic Analysis and Predictive Modeling of COVID-19 Severity in a Hospital-Based Patient Cohort.Semantic proximity Read ↗

Integrative genomic analyses identify susceptibility genes underlying COVID-19 hospitalization.Semantic proximity Read ↗

Integrative analyses identify susceptibility genes underlying COVID-19 hospitalizationSemantic proximity Read ↗

Host genetic factors determining COVID-19 susceptibility and severity.Semantic proximity Read ↗

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