TY - JOUR
T1 - A normative chart for cognitive development in a genetically selected population
AU - the 22q11DS International Consortium on Brain and Behavior
AU - Fiksinski, Ania M.
AU - Bearden, Carrie E.
AU - Bassett, Anne S.
AU - Kahn, René S.
AU - Zinkstok, Janneke R.
AU - Hooper, Stephen R.
AU - Tempelaar, Wanda
AU - McDonald-McGinn, Donna
AU - Swillen, Ann
AU - Emanuel, Beverly
AU - Morrow, Bernice
AU - Gur, Raquel
AU - Chow, Eva
AU - van den Bree, Marianne
AU - Vermeesch, Joris
AU - Warren, Stephen
AU - Owen, Michael
AU - van Amelsvoort, Therese
AU - Eliez, Stephan
AU - Gothelf, Doron
AU - Arango, Celso
AU - Kates, Wendy
AU - Simon, Tony
AU - Murphy, Kieran
AU - Repetto, Gabriela
AU - Suner, Damian Heine
AU - Vicari, Stefano
AU - Cubells, Joseph
AU - Armando, Marco
AU - Philip, Nicole
AU - Campbell, Linda
AU - Garcia-Minaur, Sixto
AU - Schneider, Maude
AU - Shashi, Vandana
AU - Vorstman, Jacob
AU - Breetvelt, Elemi J.
N1 - Publisher Copyright:
© 2021, The Author(s), under exclusive licence to American College of Neuropsychopharmacology.
PY - 2022/6
Y1 - 2022/6
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=85103583719&partnerID=8YFLogxK
U2 - 10.1038/s41386-021-00988-6
DO - 10.1038/s41386-021-00988-6
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C2 - 33782512
AN - SCOPUS:85103583719
SN - 0893-133X
VL - 47
SP - 1379
EP - 1386
JO - Neuropsychopharmacology
JF - Neuropsychopharmacology
IS - 7
ER -