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GWAS Study

Fine-mapping of retinal vascular complexity loci identifies Notch regulation as a shared mechanism with myocardial infarction outcomes.

Villaplana-Velasco A, Pigeyre M, Engelmann J et al.

37188768 PubMed ID
GWAS Study Type
44176 Participants
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Chapter I

Publication Details

Comprehensive information about this research publication

Authors

VA
Villaplana-Velasco A
PM
Pigeyre M
EJ
Engelmann J
RK
Rawlik K
CO
Canela-Xandri O
TC
Tochel C
LF
Lona-Durazo F
MM
Mookiah MRK
DA
Doney A
PE
Parra EJ
TE
Trucco E
MT
MacGillivray T
RK
Rannikmae K
TA
Tenesa A
PE
Pairo-Castineira E
BM
Bernabeu MO
Chapter II

Abstract

Summary of the research findings

There is increasing evidence that the complexity of the retinal vasculature measured as fractal dimension, Df, might offer earlier insights into the progression of coronary artery disease (CAD) before traditional biomarkers can be detected. This association could be partly explained by a common genetic basis; however, the genetic component of Df is poorly understood. We present a genome-wide association study (GWAS) of 38,000 individuals with white British ancestry from the UK Biobank aimed to comprehensively study the genetic component of Df and analyse its relationship with CAD. We replicated 5 Df loci and found 4 additional loci with suggestive significance (P < 1e-05) to contribute to Df variation, which previously were reported in retinal tortuosity and complexity, hypertension, and CAD studies. Significant negative genetic correlation estimates support the inverse relationship between Df and CAD, and between Df and myocardial infarction (MI), one of CAD's fatal outcomes. Fine-mapping of Df loci revealed Notch signalling regulatory variants supporting a shared mechanism with MI outcomes. We developed a predictive model for MI incident cases, recorded over a 10-year period following clinical and ophthalmic evaluation, combining clinical information, Df, and a CAD polygenic risk score. Internal cross-validation demonstrated a considerable improvement in the area under the curve (AUC) of our predictive model (AUC = 0.770 ± 0.001) when comparing with an established risk model, SCORE, (AUC = 0.741 ± 0.002) and extensions thereof leveraging the PRS (AUC = 0.728 ± 0.001). This evidences that Df provides risk information beyond demographic, lifestyle, and genetic risk factors. Our findings shed new light on the genetic basis of Df, unveiling a common control with MI, and highlighting the benefits of its application in individualised MI risk prediction.

38,811 British ancestry individuals

Chapter III

Study Statistics

Key metrics and study information

44176
Total Participants
GWAS
Study Type
Yes
Replicated
4,288 European ancestry individuals, 568 Asian ancestry individuals, 509 African ancestry individuals
Replication Participants
European, Asian unspecified, African unspecified
Ancestry
U.K.
Recruitment Country
Chapter IV

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