| Literature DB >> 33782512 |
Jacob Vorstman1,2,3, Elemi J Breetvelt3, Ania M Fiksinski4,5,6,7, Carrie E Bearden8, Anne S Bassett9,10,1,11, René S Kahn2,12, Janneke R Zinkstok2, Stephen R Hooper13, Wanda Tempelaar14,1, Donna McDonald-McGinn15,16, Ann Swillen17,18, Beverly Emanuel15, Bernice Morrow19, Raquel Gur20, Eva Chow10,1, Marianne van den Bree21, Joris Vermeesch17, Stephen Warren22, Michael Owen21, Therese van Amelsvoort23, Stephan Eliez24, Doron Gothelf25,26, Celso Arango27, Wendy Kates28, Tony Simon29, Kieran Murphy30, Gabriela Repetto31, Damian Heine Suner32, Stefano Vicari33, Joseph Cubells22,34, Marco Armando24, Nicole Philip35,36, Linda Campbell37, Sixto Garcia-Minaur38, Maude Schneider24, Vandana Shashi39.
Abstract
Certain pathogenic genetic variants impact neurodevelopment and cause deviations from typical cognitive trajectories. Understanding variant-specific cognitive trajectories is clinically important for informed monitoring and identifying patients at risk for comorbid conditions. Here, we demonstrate a variant-specific normative chart for cognitive development for individuals with 22q11.2 deletion syndrome (22q11DS). We used IQ data from 1365 individuals with 22q11DS to construct variant-specific normative charts for cognitive development (Full Scale, Verbal, and Performance IQ). This allowed us to calculate Z-scores for each IQ datapoint. Then, we calculated the change between first and last available IQ assessments (delta Z-IQ-scores) for each individual with longitudinal IQ data (n = 708). We subsequently investigated whether using the variant-specific IQ-Z-scores would decrease required sample size to detect an effect with schizophrenia risk, as compared to standard IQ-scores. The mean Z-IQ-scores for FSIQ, VIQ, and PIQ were close to 0, indicating that participants had IQ-scores as predicted by the normative chart. The mean delta-Z-IQ-scores were equally close to 0, demonstrating a good fit of the normative chart and indicating that, as a group, individuals with 22q11DS show a decline in IQ-scores as they grow into adulthood. Using variant-specific IQ-Z-scores resulted in 30% decrease of required sample size, as compared to the standard IQ-based approach, to detect the association between IQ-decline and schizophrenia (p < 0.01). Our findings suggest that using variant-specific normative IQ data significantly reduces required sample size in a research context, and may facilitate a more clinically informative interpretation of IQ data. This approach allows identification of individuals that deviate from their expected, variant-specific, trajectory. This group may be at increased risk for comorbid conditions, such as schizophrenia in the case of 22q11DS.Entities:
Mesh:
Year: 2021 PMID: 33782512 PMCID: PMC9117666 DOI: 10.1038/s41386-021-00988-6
Source DB: PubMed Journal: Neuropsychopharmacology ISSN: 0893-133X Impact factor: 8.294