Article
A normative chart for cognitive development in a genetically selected population
Fecha
2021Registro en:
Fiksinski AM, Bearden CE, Bassett AS, Kahn RS, Zinkstok JR, Hooper SR, Tempelaar W, McDonald-McGinn D, Swillen A, Emanuel B, Morrow B, Gur R, Chow E, van den Bree M, Vermeesch J, Warren S, Owen M, van Amelsvoort T, Eliez S, Gothelf D, Arango C, Kates W, Simon T, Murphy K, Repetto G, Suner DH, Vicari S, Cubells J, Armando M, Philip N, Campbell L, Garcia-Minaur S, Schneider M, Shashi V; 22q11DS International Consortium on Brain and Behavior, Vorstman J, Breetvelt EJ. A normative chart for cognitive development in a genetically selected population. Neuropsychopharmacology. 2021 Mar 29. doi: 10.1038/s41386-021-00988-6
Autor
Fiksinski, Ania
Bearden, Carrie
Bassett, Anne
Kahn, René
Zinkstok, Janneke
Hooper, Stephen R
Tempelaar, Wanda
McDonald, Donna
Swillen, Ann
Emanuel, Beverly
Morrow, Bernice
Gur, Raquel
Chow, Eva
Van den Bree, Marianne
Vermeesch, Joris
Warren, Stephen
Owen, Michael
Van Amelsvoort, Therese
Eliez, Stephan
Gothelf, Doron
Arango, Celso
Kates, Wendy
Simon, Tony
Murphy, Kieran
Repetto, Gabriela
Heine, Damian
Vicari, Stefano
Cubells, Joseph
Armando, Marco
Philip, Nicole
Campbell, Linda
García, Sixto
Schneider, Maude
Shashi, Vandana
22q11DS International Consortium on Brain and Behavior
Vorstman, Jacob
Breetvelt, Elemi
Institución
Resumen
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.