Joseph E. Kennedy

May 10, 2024 | biorxiv.org | Diana Smith |Pravesh Parekh |Joseph E. Kennedy |Robert Loughnan

AbstractThe relative contributions of genetic variation and experience in shaping the morphology of the adolescent brain are not fully understood. Using longitudinal data from 11,665 subjects in the ABCD Study®, we fit vertex-wise variance components including family effects, genetic effects, and subject-level effects using a computationally efficient framework.

Dec 9, 2023 | biorxiv.org | Diana Smith |Pravesh Parekh |Joseph E. Kennedy |Robert Loughnan

AbstractThe heritability of cortical brain imaging phenotypes has been a subject of investigation for several years. Prior studies have employed both twin datasets1 and genome-wide association studies (GWAS) to estimate the contribution of genetic variation to variance in cortical morphometry at the region of interest (ROI) and vertex level. Longitudinal datasets that capture changes in brain structure over time can provide novel insights into the heritability of brain structure.

Jul 19, 2023 | biorxiv.org | Diana Smith |Pravesh Parekh |Joseph E. Kennedy |Robert Loughnan

New Results doi: https://doi.org/10.1101/2023.07.17.549390 AbstractThe relative contributions of genetic variation and experience in shaping the morphology of the adolescent brain are not fully understood. Using longitudinal data from 11,665 subjects in the ABCD Study, we fit vertex-wise variance components including family effects, genetic effects, and subject-level effects using a computationally efficient framework.