Table 3.
Effect of the Duplication on Global Intelligence and Anthropometric Measures
z Score | ||||||||||
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FSIQ (n = 253) |
NVIQ (n = 251) |
VIQ (n = 223) |
BMI (n = 351) |
HC (n = 314) |
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Comparisona | Estimate |
P Valueb |
Estimate |
P Valueb |
Estimate |
P Valueb |
Estimate |
P Valueb |
Estimate |
P Valueb |
Fixed effects parameters | ||||||||||
| ||||||||||
Intercept | 97.5 | <.001 | 99.9 | <.001 | 98.3 | <.001 | 0.4 | .07 | 0.5 | .06 |
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Proband carrier vs noncarrier | −26.3 | <.001 | −26.7 | <.001 | −24.4 | <.001 | −0.6 | .004 | −1.2 | <.001 |
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Pediatric carrier relative vs noncarrier | −16.2 | .001 | −16.6 | <.001 | −15.6 | .005 | −0.6 | .09 | −1.1 | .002 |
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Adult carrier relative vs noncarrier | −11.4 | <.001 | −14.8 | <.001 | −6.0 | .13 | −0.5 | .01 | −1.2 | <.001 |
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European vs US cohort | −13.3 | .001 | −14.0 | <.001 | −8.4 | .11 | −0.7 | <.001 | −0.4 | .06 |
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Age, y | 0.3 | <.001 | 0.3 | <.001 | 0.1 | .05 | 0.02 | .001 | −0.001 | .86 |
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Female vs male | −1.5 | .42 | −4.1 | .04 | 0.6 | .78 | −0.1 | .69 | −0.2 | .25 |
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Additional contrasts | ||||||||||
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Carriera vs noncarrier | −18.0 | <.001 | −19.3 | <.001 | −15.3 | <.001 | −0.6 | .003 | −1.1 | <.001 |
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Proband carrier vs pediatric carrier relative | −10.1 | .02 | −10.1 | .01 | −8.8 | .08 | −0.01 | .98 | −0.1 | .73 |
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Proband carrier vs adult carrier relative | −14.9 | <.001 | −11.9 | .001 | −18.4 | <.001 | −0.03 | .87 | 0.1 | .75 |
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Pediatric vs adult carrier relative | −4.8 | .33 | −1.8 | .71 | −9.6 | .11 | −0.03 | .94 | 0.02 | .96 |
Abbreviations: BMI, body mass index; FSIQ, Full-Scale IQ; HC, head circumference; NVIQ, Nonverbal IQ; VIQ, Verbal IQ.
Carriers include proband carriers (individuals ascertained for a neurodevelopmental disorder), pediatric carrier relatives (mostly siblings of the probands), and adult carrier relatives (mostly transmitting parents).
Linear mixed model analysis was used to estimate the effect of duplication on FSIQ, NVIQ, VIQ, BMI z score, and HC z score.