Noncoding variants and sulcal patterns in congenital heart disease: Machine learning to predict functional impact.

• Tác giả: Martina Brueckner, Wendy K Chung, John Cleveland, Steven R DePalma, Bruce D Gelb, Elizabeth Goldmuntz, P Ellen Grant, Donald J Hagler, Hao Huang, Kiho Im, Patrick McQuillen, Thomas A Miller, Enrique Mondragon-Estrada, Sarah U Morton, Jane W Newburger, Ashok Panigrahy, George A Porter, Amy E Roberts, Caitlin K Rollins, Mark W Russell, Martin Tristani-Firouzi
• Ngôn ngữ: eng
• Ký hiệu phân loại: 635.41 *Spinach
• Thông tin xuất bản: United States : iScience , 2025
• Bộ sưu tập: NCBI
• ID: 701655

Tóm tắt

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