Heritability estimation of subcortical volumes in a multi-ethnic multi-site cohort study.
Christian CoffmanEric FeczkoBart LarsenBrenden Trevo-ClemmensGregory ConanJacob T LundquistAudrey HoughtonLucille A MooreKimberly B WeldonRae McCollumAnders J PerroneBegim FayzullobekovaThomas J MadisonEric A EarlOscar Miranda DominguezDamien A FairSaonli BasuPublished in: bioRxiv : the preprint server for biology (2024)
Heritability of regional subcortical brain volumes (rSBVs) describes the role of genetics in middle and inner brain development. rSBVs are highly heritable in adults but are not characterized well in adolescents. The Adolescent Brain Cognitive Development study (ABCD), taken over 22 US sites, provides data to characterize the heritability of subcortical structures in adolescence. In ABCD, site-specific effects co-occur with genetic effects which can bias heritability estimates. Existing methods adjusting for site effects require additional steps to adjust for site effects and can lead to inconsistent estimation. We propose a random-effect model-based method of moments approach that is a single step estimator and is a theoretically consistent estimator even when sites are imbalanced and performs well under simulations. We compare methods on rSBVs from ABCD. The proposed approach yielded heritability estimates similar to previous results derived from single-site studies. The cerebellum cortex and hippocampus were the most heritable regions (> 50% ).
Keyphrases
- white matter
- young adults
- depressive symptoms
- machine learning
- mental health
- cerebral ischemia
- resting state
- physical activity
- multiple sclerosis
- gene expression
- molecular dynamics
- dna methylation
- high resolution
- cognitive impairment
- artificial intelligence
- blood brain barrier
- deep learning
- brain injury
- subarachnoid hemorrhage
- big data
- neural network
- genome wide association