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Article

Unsupervised deep representation learning enables phenotype discovery for genetic association studies of brain imaging.

Communications biology - 5 Apr 2024

Patel Khush, Xie Ziqian, Yuan Hao, Islam Sheikh Muhammad Saiful, Xie Yaochen, He Wei, Zhang Wanheng, Gottlieb Assaf, Chen Han, Giancardo Luca, Knaack Alexander, Fletcher Evan, Fornage Myriam, Ji Shuiwang, Zhi Degui

Abstract excerpt

Understanding the genetic architecture of brain structure is challenging, partly due to difficulties in designing robust, non-biased descriptors of brain morphology. Until recently, brain measures for genome-wide association studies (GWAS) consisted of traditionally expert-defined or software-derived image-derived phenotypes (IDPs) that are often based on theoretical preconceptions or computed from limited...

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PMID: 38580839
DOI: 10.1038/s42003-024-06096-7
PMCID: PMC10997628

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