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GWAS Study

Deep Learning of the Retina Enables Phenome- and Genome-wide Analyses of the Microvasculature.

Zekavat SM, Raghu VK, Trinder M et al.

34743558 PubMed ID
GWAS Study Type
38932 Participants
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Chapter I

Publication Details

Comprehensive information about this research publication

Authors

ZS
Zekavat SM
RV
Raghu VK
TM
Trinder M
YY
Ye Y
KS
Koyama S
HM
Honigberg MC
YZ
Yu Z
PA
Pampana A
US
Urbut S
HS
Haidermota S
OD
O'Regan DP
ZH
Zhao H
EP
Ellinor PT
SA
Segrè AV
ET
Elze T
WJ
Wiggs JL
MJ
Martone J
AR
Adelman RA
ZN
Zebardast N
DP
Del Priore L
WJ
Wang JC
NP
Natarajan P
Chapter II

Abstract

Summary of the research findings

The microvasculature, the smallest blood vessels in the body, has key roles in maintenance of organ health and tumorigenesis. The retinal fundus is a window for human in vivo noninvasive assessment of the microvasculature. Large-scale complementary machine learning-based assessment of the retinal vasculature with phenome-wide and genome-wide analyses may yield new insights into human health and disease.

38,932 British ancestry individuals

Chapter III

Study Statistics

Key metrics and study information

38932
Total Participants
GWAS
Study Type
No
Replicated
European
Ancestry
U.K.
Recruitment Country
Chapter IV

Analysis

Comprehensive review of health and genetic findings

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Analysis In Progress

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