The common variant genetic link between functional and structural phenotypes of the human brain

Brisbane Convention & Exhibition Centre 

Graph metrics (Rubinov & Sporns, 2010) derived from the resting-state network and asymmetry thereof have both produced reliable correlates of various neuropsychiatric disorders. However, these phenotypic correlates do not mirror those identified from structural MRI, raising the question if different biological processes underlie brain structure and function, and if they have different clinical correlates. Initial results have shown genetic correlations between the resting-state network and neuropsychiatric disorders (Bell et al., 2022; Roelfs et al., 2023; Zhao et al., 2022), but these results only covered sporadic phenotypes. Hence, we conducted a systematic genome-wide association study (GWAS) across six graph metrics at global, hemispheric and regional levels and their asymmetry (fig. 1), and identified their shared genetics with other imaging-derived phenotypes (IDPs) and 11 neuropsychiatric disorders (fig. 2).