Additional file 2 of Unsupervised feature extraction using deep learning empowers discovery of genetic determinants of the electrocardiogram

Additional file 2 of Unsupervised feature extraction using deep learning empowers discovery of genetic determinants of the electrocardiogram

Additional file 2: GWAS regions. This file contains the significant regions from the LF GWAS analysis, including the prioritised genes based on the different selection methods and the top SNP for each region.

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Bibliographic Details
Main Author: Ewa Sieliwonczyk (22406334) (author)
Other Authors: Arunashis Sau (12914977) (author), Konstantinos Patlatzoglou (22406337) (author), Kathryn A. McGurk (22406340) (author), Libor Pastika (22406343) (author), Prisca K. Thami (4811598) (author), Massimo Mangino (87550) (author), Sean L. Zheng (22406346) (author), George Powell (833319) (author), Lara Curran (17464035) (author), Rachel J. Buchan (22406349) (author), Pantazis Theotokis (17273105) (author), Nicholas S. Peters (8363781) (author), Bart Loeys (526781) (author), Daniel B. Kramer (7460285) (author), Jonathan W. Waks (22406352) (author), Fu Siong Ng (6547454) (author), James S. Ware (7759880) (author)
Published: 2025
Subjects:
Genetics
GWAS
ECG
Deep learning
PheWAS
Burden testing
Variational autoencoder
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