Heritability analysis with repeat measurements and its application to resting-state functional connectivity

• Published in: Proceedings of the National Academy of Sciences - PNAS Vol. 114; no. 21; pp. 5521 - 5526
• Main Authors: Ge, Tian, Holmes, Avram J., Buckner, Randy L., Smoller, Jordan W., Sabuncu, Mert R.
• Format: Journal Article
• Language: English
• Published: United States National Academy of Sciences 23.05.2017
• Subjects: Assessments; Biological Sciences; Biological variation; Brain; Brain mapping; Component reliability; Data processing; Functional anatomy; Functional magnetic resonance imaging; Genetic diversity; Genotype & phenotype; Heritability; Information dissemination; Networks; Neural networks; NMR; Noise measurement; Noise prediction; Nuclear magnetic resonance; Phenotypic variations; functional connectivity; repeat measurements; test–retest reliability; resting-state fMRI; heritability

Heritability, defined as the proportion of phenotypic variation attributable to genetic variation, provides important information about the genetic basis of a trait. Existing heritability analysis methods do not discriminate between stable effects (e.g., due to the subject’s unique environment) and...