Accelerating Heritability, Genetic Correlation, and Genome-Wide Association Imaging Genetic Analyses in Complex Pedigrees.

ABSTRACT: National and international biobanking efforts led to the collection of large and inclusive imaging genetics datasets that enable examination of the contribution of genetic and environmental factors to human brains in illness and health. High-resolution neuroimaging (~10^4-6 voxels) and genetic (10^6-8 single nucleotide polymorphic [SNP] variants) data are available in statistically powerful (N = 10^3-5) epidemiological and disorder-focused samples. Performing imaging genetics analyses at full resolution afforded in these datasets is a formidable computational task even under the assumption of unrelatedness among the subjects. The computational complexity rises as ~N^2-3 (where N is the sample size), when accounting for relatedness among subjects. We

SUBMITTER: Donohue B 

PROVIDER: S-EPMC11599162 | biostudies-literature | 2024 Dec

REPOSITORIES: biostudies-literature