Heritability of surface area and cortical thickness: a comparison between the Human Connectome Project and the UK Biobank dataset

Yann Le Guen (1) , Slim Karkar (1) , Antoine Grigis (1) , Cathy Philippe (1) , Jean-François Mangin (1) , Vincent Frouin (1)

1 UNATI - Unité Analyse et Traitement de l'Information

Heritability of the regional thickness/surface in human cortex is established. Yet the estimates vary substantially depending on cohorts or the information they are derived from: pedigree or genotyping. Here we present three heritability studies of the cortex phenotype in two cohorts showing: i) both pedigree and genotyping or ii) genotyping only. We obtained clearly correlated heritability values between studies with a shift appearing between cohorts. Spatial pattern of heritability remains highly consistent across cohorts

Keywords: imaging-genetic; heritability; cortical thickness; surface area

Domains: Life Sciences [q-bio]; Bioengineering; Imaging; Computer Science [cs]; Bioinformatics [q-bio.QM]; Life Sciences [q-bio]; Genetics; Populations and Evolution [q-bio.PE]; Statistics [stat]; Machine Learning [stat.ML]

Yann Le Guen, Slim Karkar, Antoine Grigis, Cathy Philippe, Jean-François Mangin, et al.. Heritability of surface area and cortical thickness: a comparison between the Human Connectome Project and the UK Biobank dataset. ISBI 2019 - Proceedings of the IEEE International Symposium on Biomedical Imaging, 2019, Venice, Italy. ⟨cea-02016831⟩