Evidence map›Paper›PMID 39807185›Full record

ArticleThe World Allergy Organization journal2025

Advancing allergic rhinitis research through phenome-wide association studies: Insights from known genetic loci.

Xingling Tan, Zhouyouyou Xiao, Yao Wen, Han Liu, Wei Yu

Abstract read
In one paragraph

Article in The World Allergy Organization journal, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

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4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

5 authors.

Xingling TanInstitute of Life Science, Chongqing Medical University, Chongqing, China.
Zhouyouyou XiaoDepartment of Audiology and Speech Rehabilitation, Chongqing Medical University, Chongqing, China.
Yao WenInstitute of Life Science, Chongqing Medical University, Chongqing, China.
Han LiuInstitute of Life Science, Chongqing Medical University, Chongqing, China.
Wei YuInstitute of Life Science, Chongqing Medical University, Chongqing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Allergic rhinitis (AR) is a common chronic respiratory disease that can lead to the development of various other conditions. Although genetic risk loci associated with AR have been reported, the connections between these loci and AR comorbidities or other diseases remain unclear. Methods: This study conducted a phenome-wide association study (PheWAS) using known AR risk loci to explore the impact of known AR risk variants on a broad spectrum of phenotypes. Subsequently, linkage disequilibrium score regression (LDSC) and bidirectional two-sample mendelian randomization (TSMR) analyses were used to further analyze the genetic correlation and causal relationships between significant and potentially related phenotypes and AR. Results: The PheWAS analysis indicated significant associations between asthma, eczema, nasal polyps, hypothyroidism, and AR risk variants. Additionally, potential associations were observed with ulcerative colitis, psoriasis, chalazion, pernicious anemia, glaucoma, multiple sclerosis, arthritis, prostate cancer, varicose veins of lower extremities, and heart attack. LDSC analysis showed that only asthma, eczema, and nasal polyps have significant positive genetic correlations with AR. Furthermore, TSMR analysis revealed causal relationships between AR and asthma, eczema, and nasal polyps. Conclusion: This study highlights the impact of AR risk loci on a variety of diseases. By revealing new associations and shared genetic pathways, our findings provide valuable insights into the pathophysiology of AR and pave the way for more effective targeted interventions to manage AR and its related diseases.

Indexed as

AllergicAsthmaAtopicDermatitisGenetic predisposition to diseaseNasal polypsRhinitis

Identifiers

PMID39807185
PMCPMC11728958

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.