A normative chart for cognitive development in a genetically selected population

Fiksinski, Ania M., Bearden, Carrie E., Bassett, Anne S., Kahn, René S., Zinkstok, Janneke R., Hooper, Stephen R., Tempelaar, Wanda, McDonald-McGinn, Donna, Swillen, Ann, Emanuel, Beverly, Morrow, Bernice, Gur, Raquel, Chow, Eva, van den Bree, Marianne ORCID: https://orcid.org/0000-0002-4426-3254, Vermeesch, Joris, Warren, Stephen, Owen, Michael ORCID: https://orcid.org/0000-0003-4798-0862, van Amelsvoort, Therese, Eliez, Stephan, Gothelf, Doron, Arango, Celso, Kates, Wendy, Simon, Tony, Murphy, Kieran, Repetto, Gabriela, Suner, Damian Heine, Vicari, Stefano, Cubells, Joseph, Armando, Marco, Philip, Nicole, Campbell, Linda, Garcia-Minaur, Sixto, Schneider, Maude, Shashi, Vandana, Vorstman, Jacob and Breetvelt, Elemi J. 2022. A normative chart for cognitive development in a genetically selected population. Neuropsychopharmacology 47 (7) , 1379–1386. 10.1038/s41386-021-00988-6

Preview

PDF - Accepted Post-Print Version Available under License Creative Commons Attribution. Download (810kB) | Preview

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.

Item Type:	Article
Date Type:	Publication
Status:	Published
Schools:	Medicine MRC Centre for Neuropsychiatric Genetics and Genomics (CNGG)
Publisher:	Springer Nature [academic journals on nature.com]
ISSN:	0893-133X
Date of First Compliant Deposit:	17 January 2023
Date of Acceptance:	30 January 2021
Last Modified:	02 May 2023 16:43
URI:	https://orca.cardiff.ac.uk/id/eprint/155995

Actions (repository staff only)

Edit Item