Back

Automated detection of genetic relatedness from fundus photographs using Siamese Neural Networks

2023-08-23 ophthalmology Title + abstract only
View on medRxiv
Show abstract

Heritability of common eye diseases and ocular traits are relatively high. Here, we develop an automated algorithm to detect genetic relatedness from color fundus photographs (FPs). We estimated the degree of shared ancestry amongst individuals in the UK Biobank using KING software. A convolutional Siamese neural network-based algorithm was trained to output a measure of genetic relatedness using 7224 pairs (3612 related and 3612 unrelated) of FPs. The model achieved high performance for predict...

Predicted journal destinations