Comparing empirical kinship derived heritability for imaging genetics traits in the UK biobank and human connectome project.

ABSTRACT: Imaging genetics analyses use neuroimaging traits as intermediate phenotypes to infer the degree of genetic contribution to brain structure and function in health and/or illness. Coefficients of relatedness (CR) summarize the degree of genetic similarity among subjects and are used to estimate the heritability - the proportion of phenotypic variance explained by genetic factors. The CR can be inferred directly from genome-wide genotype data to explain the degree of shared variation in common genetic polymorphisms (SNP-heritability) among related or unrelated subjects. We developed a central processing and graphics processing unit (CPU and GPU) accelerated Fast and Powerful Heritability Inference (FPHI) approach that linearizes likelihood calculations to overcome the ∼N^2-3 comput

SUBMITTER: Gao S 

PROVIDER: S-EPMC8771206 | biostudies-literature | 2021 Dec

REPOSITORIES: biostudies-literature