| Literature DB >> 33169016 |
Robert W Davies1,2, Ania M Fiksinski3,4, Elemi J Breetvelt5, Nigel M Williams6, Stephen R Hooper7, Thomas Monfeuga6, Anne S Bassett4,8,9, Michael J Owen6, Raquel E Gur10, Bernice E Morrow11, Donna M McDonald-McGinn12,13, Ann Swillen14,15, Eva W C Chow4,8, Marianne van den Bree6, Beverly S Emanuel12, Joris R Vermeesch14, Therese van Amelsvoort16, Celso Arango17, Marco Armando18, Linda E Campbell19, Joseph F Cubells20,21, Stephan Eliez18, Sixto Garcia-Minaur22, Doron Gothelf23,24, Wendy R Kates25, Kieran C Murphy26, Clodagh M Murphy27, Declan G Murphy27, Nicole Philip28,29, Gabriela M Repetto30, Vandana Shashi31, Tony J Simon32, Damiàn Heine Suñer33, Stefano Vicari34, Stephen W Scherer35, Carrie E Bearden36, Jacob A S Vorstman37,38,39.
Abstract
The 22q11.2 deletion syndrome (22q11DS) is associated with a 20-25% risk of schizophrenia. In a cohort of 962 individuals with 22q11DS, we examined the shared genetic basis between schizophrenia and schizophrenia-related early trajectory phenotypes: sub-threshold symptoms of psychosis, low baseline intellectual functioning and cognitive decline. We studied the association of these phenotypes with two polygenic scores, derived for schizophrenia and intelligence, and evaluated their use for individual risk prediction in 22q11DS. Polygenic scores were not only associated with schizophrenia and baseline intelligence quotient (IQ), respectively, but schizophrenia polygenic score was also significantly associated with cognitive (verbal IQ) decline and nominally associated with sub-threshold psychosis. Furthermore, in comparing the tail-end deciles of the schizophrenia and IQ polygenic score distributions, 33% versus 9% of individuals with 22q11DS had schizophrenia, and 63% versus 24% of individuals had intellectual disability. Collectively, these data show a shared genetic basis for schizophrenia and schizophrenia-related phenotypes and also highlight the future potential of polygenic scores for risk stratification among individuals with highly, but incompletely, penetrant genetic variants.Entities:
Mesh:
Year: 2020 PMID: 33169016 PMCID: PMC7975627 DOI: 10.1038/s41591-020-1103-1
Source DB: PubMed Journal: Nat Med ISSN: 1078-8956 Impact factor: 87.241