Evidence map›Paper›PMID 40735363›Full record

ArticleTobacco induced diseases2025

Deciphering gene-smoking interactions in age-related macular degeneration through cross-biobank genomic integration.

Ju Guo, Yuhan Jiang, Xinran Xu, Jianhua Wang, Xueming Yao, Xiaohong Wang, Hongxi Yang, Mulin J Li, Hua Yan

Abstract read
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Article in Tobacco induced diseases, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
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0citing papers in PubMed
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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

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3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Ju Guo *Department of Ophthalmology, Ministry of Education International Joint Laboratory of Ocular Diseases, Tianjin Key Laboratory of Ocular Trauma, Tianjin Institute of Eye Health and Eye Diseases, China-UK 'Belt and Road' Ophthalmology Joint Laboratory, Tianjin Medical University General Hospital, Tianjin, China.
Yuhan Jiang *Department of Pulmonology, Tianjin Children's Hospital (Children's Hospital of Tianjin University), Tianjin, China.
Xinran XuDepartment of Bioinformatics, The Province and Ministry Co-sponsored Collaborative Innovation Center for Medical Epigenetics, School of Basic Medical Sciences, Tianjin Medical University, Tianjin, China.
Jianhua WangDepartment of Bioinformatics, The Province and Ministry Co-sponsored Collaborative Innovation Center for Medical Epigenetics, School of Basic Medical Sciences, Tianjin Medical University, Tianjin, China.
Xueming YaoDepartment of Ophthalmology, Ministry of Education International Joint Laboratory of Ocular Diseases, Tianjin Key Laboratory of Ocular Trauma, Tianjin Institute of Eye Health and Eye Diseases, China-UK 'Belt and Road' Ophthalmology Joint Laboratory, Tianjin Medical University General Hospital, Tianjin, China.
Xiaohong WangDepartment of Pharmacology, Tianjin Key Laboratory of Inflammation Biology, School of Basic Medical Sciences, Tianjin Medical University, Tianjin, China.
Hongxi YangDepartment of Pharmacology, Tianjin Key Laboratory of Inflammation Biology, School of Basic Medical Sciences, Tianjin Medical University, Tianjin, China.
Mulin J LiDepartment of Bioinformatics, The Province and Ministry Co-sponsored Collaborative Innovation Center for Medical Epigenetics, School of Basic Medical Sciences, Tianjin Medical University, Tianjin, China.
Hua YanDepartment of Ophthalmology, Ministry of Education International Joint Laboratory of Ocular Diseases, Tianjin Key Laboratory of Ocular Trauma, Tianjin Institute of Eye Health and Eye Diseases, China-UK 'Belt and Road' Ophthalmology Joint Laboratory, Tianjin Medical University General Hospital, Tianjin, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionThis study aims to identify genetic loci associated with age-related macular degeneration (AMD) and assess the interaction between genetic susceptibility and smoking history.

methodsA meta-analysis of discovery genome-wide association studies (GWASs), involving a total of 42542 AMD patients and 920322 controls from four large-scale European cohorts, was conducted using METAL, a software tool commonly used for meta-analysis of GWAS. A polygenic risk score (PRS) was derived from the meta-analysis results for 331281 UK Biobank participants. Cox proportional hazards models evaluated interactions between genetic predisposition and smoking history at both PRS and variant levels. Logistic regression models examined plasma complement protein profiles across AMD PRS and smoking status groups.

resultsWe identified two novel risk loci, OCA2 melanosomal transmembrane protein (OCA2) and nitric oxide associated 1 (NOA1). Incorporating the PRS significantly enhanced AMD risk prediction in 331281 UK Biobank participants, with the area under the curve (AUC) increasing from 0.74 to 0.76 (p=2×10

conclusionsThis study revealed the genetic architecture of AMD and highlighted the synergistic effects of smoking and genetic risk, emphasizing the potential need to integrate genetic assessments into prevention strategies.

Indexed as

complement pathwayever smokedpolygenic risk scoreprs–smoking interactionsvariant–smoking interactions

Identifiers

PMID40735363
PMCPMC12306451

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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.