Evidence map›Paper›PMID 40065387›Full record

ArticleCardiovascular diabetology2025

Additive association of blood group A allele with 15 cardiometabolic diseases: a UK Biobank life-course study.

Ran Zhao, Wenyan Xian, Yihao Ma, Valerio Napolioni, Patrick W C Lau, Xiao-Li Tian, Yann Le Guen, Andre Franke, Jie Huang

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Article in Cardiovascular diabetology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
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1 · What the graph read from it

What it found

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3 · Its place in the literature

Who cites it

6 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

9 authors.

Ran Zhao *School of Public Health and Emergency Management, Southern University of Science and Technology, Shenzhen, Guangdong Province, China.
Wenyan Xian *School of Public Health and Emergency Management, Southern University of Science and Technology, Shenzhen, Guangdong Province, China.
Yihao MaCollege of Letters & Science, University of California, Berkeley, CA, USA.
Valerio NapolioniSchool of Biosciences and Veterinary Medicine, University of Camerino, Camerino, Italy.
Patrick W C LauDepartment of Sport, Physical Education & Health, Hong Kong Baptist University, Kowloon Tong, Hong Kong SAR, China.
Xiao-Li TianAging and Vascular Diseases, Human Aging Research Institute (HARI) and School of Life Science, Nanchang University, Nanchang, Jiangxi, China.
Yann Le GuenDepartment of Neurology and Neurological Sciences, Stanford University, Stanford, CA, USA.
Andre FrankeInstitute of Clinical Molecular Biology (IKMB), Christian-Albrechts-University of Kiel and University Hospital Schleswig-Holstein (UKSH), Kiel, Germany.
Jie HuangSchool of Public Health and Emergency Management, Southern University of Science and Technology, Shenzhen, Guangdong Province, China. huangj@sustech.edu.cn.

Funding

National Key Research and Development Program of China 2022YFC3600800
6 · The paper itself

Abstract

backgroundAlthough existing studies have reported associations between blood group A and cardiometabolic diseases (CMD), most have focused on dominant inheritance models. However, genome-wide association studies have mostly been based on additive genotypes. This study aims to investigate the association between the blood group A allele and 15 CMD using recessive, dominant, and additive models and identify potential mediators.

methodsThis study leveraged data from over 320,000 participants with O and A blood groups in the UK Biobank to investigate the association between blood group A allele and 15 major CMD under recessive, dominant, and gene dosage (additive) models. Protein data from nearly 30,000 participants were used to analyze the association between ABO protein levels and CMD. Mediation analysis further explored whether blood cell count traits and blood biochemistry mediate the association between the number of A allele and CMD.

resultsThe additive model demonstrates a dose-response association of the blood group A allele with venous thromboembolism (VTE), myocardial infarction (MI), ischemic stroke (IS), type 2 diabetes mellitus (T2DM), and heart failure (HF), among others. Each additional A allele increased disease risk, particularly for VTE (HR = 1.273, P[FDR] = 4.43 × 10

conclusionsOur findings reveal that blood group A allele is associated with an increased risk of multiple CMD, particularly under the additive model. Some blood cell count traits and blood biochemistries play significant mediating roles.

Indexed as

ABO Blood-Group SystemCardiovascular DiseasesAdultAgedAllelesBiological Specimen BanksCardiometabolic Risk FactorsFemaleGenetic Predisposition to DiseaseHumansMaleMiddle AgedPhenotypeRisk AssessmentUK BiobankUnited KingdomABO Blood-Group SystemABO A alleleAdditive associationBlood groupCardiometabolic diseaseMediation analysis

Identifiers

PMID40065387
PMCPMC11895148

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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.