A statistical method for image-mediated association studies discovers genes and pathways associated with four brain disorders

• Published in: American journal of human genetics Vol. 111; no. 1; pp. 48 - 69
• Main Authors: He, Jingni, Antonyan, Lilit, Zhu, Harold, Ardila, Karen, Li, Qing, Enoma, David, Zhang, William, Liu, Andy, Chekouo, Thierry, Cao, Bo, MacDonald, M. Ethan, Arnold, Paul D., Long, Quan
• Format: Journal Article
• Language: English
• Published: United States Elsevier Inc 04.01.2024; Elsevier
• Subjects: Brain Diseases - genetics; cerebellum; Genetic Predisposition to Disease; Genome-Wide Association Study - methods; GWAS; Humans; image-derived phenotypes; image-mediated association study; neuropsychiatric disorders; Phenotype; Polymorphism, Single Nucleotide - genetics; Quantitative Trait Loci - genetics; image-derived phenotypes; neuropsychiatric disorders; image-mediated association study; GWAS; cerebellum

Brain imaging and genomics are critical tools enabling characterization of the genetic basis of brain disorders. However, imaging large cohorts is expensive and may be unavailable for legacy datasets used for genome-wide association studies (GWASs). Using an integrated feature selection/aggregation...