%0 Conference Paper %F Oral %T Heritability of surface area and cortical thickness: a comparison between the Human Connectome Project and the UK Biobank dataset %+ Unité Analyse et Traitement de l'Information (UNATI) %A Le Guen, Yann %A Karkar, Slim %A Grigis, Antoine %A Philippe, Cathy %A Mangin, Jean-François %A Frouin, Vincent %< avec comité de lecture %B ISBI 2019 - Proceedings of the IEEE International Symposium on Biomedical Imaging %C Venice, Italy %8 2019 %D 2019 %K imaging-genetic %K heritability %K cortical thickness %K surface area %Z Life Sciences [q-bio]/Bioengineering/Imaging %Z Computer Science [cs]/Bioinformatics [q-bio.QM] %Z Life Sciences [q-bio]/Genetics/Populations and Evolution [q-bio.PE] %Z Statistics [stat]/Machine Learning [stat.ML]Conference papers %X 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 %G English %2 https://cea.hal.science/cea-02016831/document %2 https://cea.hal.science/cea-02016831/file/Heritability_ISBI_2019.pdf %L cea-02016831 %U https://cea.hal.science/cea-02016831 %~ CEA %~ OPENAIRE %~ DSV %~ CEA-UPSAY %~ UNIV-PARIS-SACLAY %~ CEA-UPSAY-SACLAY %~ JOLIOT %~ CEA-DRF %~ NEUROSPIN %~ GS-ENGINEERING