Abstract
This study uses data from the population-based Generation R Study of Rotterdam, the Netherlands, to assess an association of genetic risk for schizophrenia and bipolar disorder with infant neuromotor development.
Schizophrenia and bipolar disorder (BD) are heritable disorders with similarities in clinical symptoms and typical onset after puberty. While research shows that impaired motor coordination can have an association with schizophrenia, there are limited data on childhood development preceding BD. Murray et al proposed a developmental model for similarities and dissimilarities between schizophrenia and BD, but it remains unknown if dissimilarities exist in early infancy and if they covary with genetic liability for these disorders. Using polygenic risk scores (PRSs), we explored whether genetic risk for schizophrenia and genetic risk for BD are associated with neuromotor development in infancy.
Methods
The present study was embedded in the Generation R Study (n = 7893), a population-based study from fetal life forward in Rotterdam, the Netherlands. From this cohort, we identified a pediatric sample of European ancestry (defined by genetic principal components [based on population-specific variations in allele distribution]) by genotype data (n = 2830). Of these, 1174 infants (41.5%) underwent neuromotor examination at 2.9 months (range, 2-5 months). Polygenic risk scores were calculated using an R script (PRSice version 1.25) for schizophrenia and BD using genome-wide association study (GWAS) summary statistics and were standardized to a mean (SD) of 0 (1) for interpretability. Additive PRS were calculated for each individual by multiplying the allele count by the allele log of the odds ratio (OR). Single-nucleotide polymorphisms were clumped prior to calculation of the score. Full details have been described elsewhere. The Erasmus Medical Center Medical Ethics Committee approved the study. Written informed consent was obtained from parents of infants.
Research nurses assessed neuromotor development during a home visit using an adapted version of the Touwen Neurodevelopmental Examination (Table 1). The lowest and middle tertiles were classified as optimal. Nonoptimal neuromotor development was defined as an age-corrected score in the highest tertile. We performed logistic regression adjusted for sex and population structure by including the first 4 genetic principal components. Two-sided P < .05 was the threshold of statistical significance.
Table 1. Items for Assessing Neuromotor Developmenta.
Subscale and Position | Item Description | Answering Categories | ||
---|---|---|---|---|
Nonoptimal | Optimal | Nonoptimal | ||
Tone | ||||
Supine | Resting posture | Legs flat on the surface | Semiflexed legs; slight abduction at the hips | Legs stretched |
Adductor angle | >140° | >80° to <140° | <80° | |
Popliteal angle | 130° to 180° | 90° to 130° | <90° | |
Ankle angle | <20° | >20° to <90° | >90° | |
Head preference | Yes | No | ||
Opening and closing hands | Sometimes closed | Yes | Always closed | |
Alternating leg movements | Decreased | Yes | Absent | |
Grasps with one hand | Decreased | Yes | Absent | |
Hyperextension | Sometimes | No | Yes | |
Dyskinesia | Sometimes | No | Yes | |
Supine to sit | Traction response | Arms fully extended, no resistance | Arms moderately flexed | Strong resistance, flexion elbows, legs extended |
Traction response, head control | Head lag | Active lift of head | Exaggerated | |
Horizontal | Ventral tone | Low tone | Normal tone | Back and limbs stretched |
Vertical | Head | Low tone | Normal tone | High tone |
Shoulders | Low tone | Normal tone | High tone | |
Trunk | Low tone | Normal tone | High tone | |
Legs | Low tone | Normal tone | High tone | |
Prone | Pulls arms up | No | Yes | |
Turns head | No | Yes | ||
Lifts head | No | Yes | Overstretched | |
Sitting | Needs support | No | Yes | |
Head control | No | Yes | ||
Shoulder retraction | Yes | No | ||
Shape of the back | Straight | Round | Scoliosis | |
Physical Responses | ||||
Supine | Asymmetrical tonic neck reflex | Yes | Weak | Exaggerated |
Babinski reflex | Exaggerated | Yes | Spontaneous | |
Prone | Bauer reflex | Exaggerated | Yes / weak | |
Vertical | Stepping movements | Yes | No | Exaggerated |
Moro intensity | Exaggerated | Yes / weak | ||
Moro opening hands | No | Yes | ||
Other | ||||
Supine | Strabismus | Sometimes | No | Yes |
Fixation eyes | Decreased | Yes | No | |
Following movements eyes | Decreased | Smooth | No | |
Hearing | Moderate | Yes | No | |
Sweating | Yes | No | ||
Startles | Sometimes | No | Yes |
aThis table has been adapted from information in van Batenburg-Eddes, et al.
Results
Among the 1174 infants examined, 596 (50.8%) were male and 578 (49.2%) were female. In this cohort, a higher PRS for schizophrenia was associated with nonoptimal overall infant neuromotor development at age 2 to 5 months (GWAS P value threshold <.05) (OR, 1.15; 95% CI, 1.01-1.30; P = .03). The results remained essentially unchanged across the range from P < .05 to P < .0005). A PRS for BD was not consistently associated with nonoptimal overall infant neuromotor development (OR, 0.95; 95% CI, 0.84-1.08; P = .44) (Table 2).
Table 2. Nonoptimal Neuromotor Development in 1174 Infants Aged 2 to 5 Months, Corrected for Agea.
Threshold | OR (95% CI) | P Value | SNP,b No. |
---|---|---|---|
Schizophrenia | |||
P < .0005 | 1.14 (1.00-1.29) | .05 | 2965 |
P < .001 | 1.14 (1.00-1.29) | .04 | 4148 |
P < .005 | 1.14 (1.01-1.30) | .04 | 9547 |
P < .01 | 1.14 (1.01-1.30) | .03 | 13 916 |
P < .05 | 1.15 (1.01-1.30) | .03 | 34 947 |
P < .10 | 1.12 (0.99-1.27) | .08 | 52 256 |
P < .50 | 1.12 (0.99-1.26) | .08 | 126 674 |
Bipolar Disorder | |||
P < .0005 | 0.87 (0.77-0.98) | .02 | 525 |
P < .001 | 0.92 (0.82-1.04) | .20 | 915 |
P < .005 | 0.99 (0.88-1.11) | .85 | 2946 |
P < .01 | 0.95 (0.84-1.07) | .40 | 4992 |
P < .05 | 0.95 (0.84-1.08) | .44 | 16 461 |
P < .10 | 0.91 (0.81-1.03) | .14 | 27 366 |
P < .50 | 0.92 (0.81-1.03) | .15 | 79 569 |
Abbreviations: OR, odds ratio; SNP, single-nucleotide polymorphism.
The models are adjusted for sex and the first 4 genetic principal components based on population-specific variations in allele distribution.
SNPs were clumped prior to calculation of score.
Discussion
This report indicates that the PRSs for schizophrenia are associated with nonoptimal overall infant neuromotor development, whereas no consistent associations were observed for BD PRSs. Similarly, Burton et al found an association between motor development at 7 years with familial risk for schizophrenia, but not with familial risk for BD. To date, the earliest age for manifestation of genetic predisposition for schizophrenia was reported by Jansen et al in 3-year-old children. Research suggests that impaired neuromotor development precedes schizophrenia onset, although most children with impaired neuromotor functioning do not develop schizophrenia. In contrast, children who later met criteria for BD exhibited a higher level of motor performance during childhood than controls. Our results highlight that the genetic predisposition for schizophrenia covaries with motor deficits observable during infancy in a community-based sample. Given that the prevalence of schizophrenia is low, these early features represent indices of liability rather than precursors of the disorder.
This study has certain limitations. Genetic pleiotropy or early environmental factors could also explain the association. Selective nonresponse to neuromotor assessment could bias the analysis. The power of the BD GWAS might have been insufficient to detect associations between BD PRS and neuromotor development. Despite limitations, this study has several strengths, including an objective and prospectively assessed measure of neuromotor development in a large homogenous sample of infants.
To our knowledge, this is the first evidence that genetic liability for schizophrenia may covary with altered neuromotor development in infancy. Future research will show whether early neuromotor development can support early screening of susceptible groups possibly defined by genetic risk.
References
- 1.Murray RM, Sham P, Van Os J, Zanelli J, Cannon M, McDonald C. A developmental model for similarities and dissimilarities between schizophrenia and bipolar disorder. Schizophr Res. 2004;71(2-3):405-416. [DOI] [PubMed] [Google Scholar]
- 2.Burton BK, Hjorthøj C, Jepsen JR, Thorup A, Nordentoft M, Plessen KJ. Research review: do motor deficits during development represent an endophenotype for schizophrenia? a meta-analysis. J Child Psychol Psychiatry. 2016;57(4):446-456. [DOI] [PubMed] [Google Scholar]
- 3.Kooijman MN, Kruithof CJ, van Duijn CM, et al. The Generation R Study: design and cohort update 2017. Eur J Epidemiol. 2016;31(12):1243-1264. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 4.Jansen PR, Polderman TJC, Bolhuis K, et al. Polygenic scores for schizophrenia and educational attainment are associated with behavioural problems in early childhood in the general population. [published online June 19, 2017]. J Child Psychol Psychiatry. 2017. doi: 10.1111/jcpp.12759 [DOI] [PubMed] [Google Scholar]
- 5.Van Batenburg-Eddes T, de Groot L, Huizink AC, et al. Maternal symptoms of anxiety during pregnancy affect infant neuromotor development: the Generation R Study. Dev Neuropsychol. 2009;34(4):476-493. [DOI] [PubMed] [Google Scholar]
- 6.Burton BK, Thorup AAE, Jepsen JR, et al. Impairments of motor function among children with a familial risk of schizophrenia or bipolar disorder at 7 years old in Denmark: an observational cohort study. Lancet Psychiatry. 2017;4(5):400-408. [DOI] [PubMed] [Google Scholar]