Ontology highlight
ABSTRACT:
SUBMITTER: Alipanahi B
PROVIDER: S-EPMC8322934 | biostudies-literature | 2021 Jul
REPOSITORIES: biostudies-literature
Alipanahi Babak B Hormozdiari Farhad F Behsaz Babak B Cosentino Justin J McCaw Zachary R ZR Schorsch Emanuel E Sculley D D Dorfman Elizabeth H EH Foster Paul J PJ Peng Lily H LH Phene Sonia S Hammel Naama N Carroll Andrew A Khawaja Anthony P AP McLean Cory Y CY
American journal of human genetics 20210601 7
Genome-wide association studies (GWASs) require accurate cohort phenotyping, but expert labeling can be costly, time intensive, and variable. Here, we develop a machine learning (ML) model to predict glaucomatous optic nerve head features from color fundus photographs. We used the model to predict vertical cup-to-disc ratio (VCDR), a diagnostic parameter and cardinal endophenotype for glaucoma, in 65,680 Europeans in the UK Biobank (UKB). A GWAS of ML-based VCDR identified 299 independent genome ...[more]