1. Noncoding variants and sulcal patterns in congenital heart disease: Machine learning to predict functional impact.
- Author
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Mondragon-Estrada E, Newburger JW, DePalma SR, Brueckner M, Cleveland J, Chung WK, Gelb BD, Goldmuntz E, Hagler DJ Jr, Huang H, McQuillen P, Miller TA, Panigrahy A, Porter GA Jr, Roberts AE, Rollins CK, Russell MW, Tristani-Firouzi M, Grant PE, Im K, and Morton SU
- Abstract
Neurodevelopmental impairments associated with congenital heart disease (CHD) may arise from perturbations in brain developmental pathways, including the formation of sulcal patterns. While genetic factors contribute to sulcal features, the association of noncoding de novo variants (ncDNVs) with sulcal patterns in people with CHD remains poorly understood. Leveraging deep learning models, we examined the predicted impact of ncDNVs on gene regulatory signals. Predicted impact was compared between participants with CHD and a jointly called cohort without CHD. We then assessed the relationship of the predicted impact of ncDNVs with their sulcal folding patterns. ncDNVs predicted to increase H3K9me2 modification were associated with larger disruptions in right parietal sulcal patterns in the CHD cohort. Genes predicted to be regulated by these ncDNVs were enriched for functions related to neuronal development. This highlights the potential of deep learning models to generate hypotheses about the role of noncoding variants in brain development., Competing Interests: E.G. reported receiving grants from the NIH during the conduct of the study. M.B. reported receiving grants from the National Heart, Lung, and Blood Institute, NIH during the conduct of the study. T.A.M reported receiving grants from the NIH during the conduct of the study. P.M. reported receiving grants from the NIH during the conduct of the study. G.A.P. reported receiving grants from the University of Rochester Medical Center. A.E.R. reported receiving grants from the NIH during the conduct of the study. D.J.H. reported having a nonexclusive, royalty-free patent licensed to GEHC. J.W.N. reported receiving grant funding from the NIH, US Department of Defense, Centers for Disease Control and Prevention, Novartis, Bristol Myers Squibb, and Pfizer; being a consultant for Pfizer; and receiving honoraria from Daiichi Sankyo. C.K.R., M.T., K.I., and S.U.M. reported receiving grants from the NIH during the conduct of the study. No other disclosures were reported., (© 2024 The Author(s).)
- Published
- 2024
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