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

Genome-Wide Meta-Analysis Identifies Multiple Novel Rare Variants to Predict Common Human Infectious Diseases Risk.

International journal of molecular sciences - 10 Apr 2023

Gelemanović Andrea, Ćatipović Ardalić Tatjana, Pribisalić Ajka, Hayward Caroline, Kolčić Ivana, Polašek Ozren

Abstract excerpt

Infectious diseases still threaten global human health, and host genetic factors have been indicated as determining risk factors for observed variations in disease susceptibility, severity, and outcome. We performed a genome-wide meta-analysis on 4624 subjects from the 10,001 Dalmatians cohort, with 14 infection-related traits. Despite a rather small number of cases in some instances, we detected 29...

Read the complete abstract on PubMed

Topics

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

Share to Communicable Diseases
Share to Genetic Predisposition to Disease

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Share to Genome-Wide Association Study

Share to Nuclear Proteins

Share to Phenotype

Share to Risk Factors

Share to Trans-Activators

Source

Open in PubMed Open full text

Identifiers

PMID: 37108169
DOI: 10.3390/ijms24087006
PMCID: PMC10138356

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026. Manifest publication-graph-cohort-2026-09-07.1.

Source receipt: pubmed, retrieved 7 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

Genome-Wide Meta-Analysis Identifies Multiple Novel Rare Variants to Predict Common Human Infectious Diseases Risk.PMID 37108169Read ↗

A genome-wide association study in a large community-based cohort identifies multiple loci associated with susceptibility to bacterial and viral infections.Semantic proximity Read ↗

Genome-wide association and HLA region fine-mapping studies identify susceptibility loci for multiple common infections.Semantic proximity Read ↗

The genetic architecture of human infectious diseases and pathogen-induced cellular phenotypesSemantic proximity Read ↗

Genome-wide association analyses of common infections in a large practice-based biobank.Semantic proximity Read ↗

Interplay between the host genome, autoimmune disease and infection.Semantic proximity Read ↗

Genetic susceptibility to infectious diseases: Current status and future perspectives from genome-wide approaches.Semantic proximity Read ↗

Host-pathogen interactions revealed by human genome-wide surveys.Semantic proximity Read ↗

Host genetics and infectious disease: new tools, insights and translational opportunities.Semantic proximity Read ↗

Genetics of infectious diseases: hidden etiologies and common pathways.Semantic proximity Read ↗

Trends in population-based studies of human genetics in infectious diseases.Semantic proximity Read ↗

Human genetic susceptibility to infectious disease.Semantic proximity Read ↗

Understanding human variation in infectious disease susceptibility through clinical and cellular GWAS.Semantic proximity Read ↗

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