Associations between genetic predisposition to mental health problems and academic achievement: a developmental perspective using two population‐based cohorts
Bibliographic record
Abstract
BACKGROUND: Children's cognitive abilities play an important role throughout their academic career, but recent studies highlight the negative impacts of aggression, inattention, and impulsivity on academic success. These behaviors and traits are central to most externalizing (EXT) and neurodevelopmental (NDD) problems, which are substantially genetically influenced. We examined the mechanisms by which high levels of genetic predispositions to EXT and NDD problems associate with elevated mental health symptoms and subsequently lead to lower levels of academic achievement in two developmental periods (i.e., childhood and adolescence). METHODS: Analyses were performed on a subset of participants from the Generation R Study (N = 2,992) and the Avon Longitudinal Study of Parents and Children (ALSPAC) (N = 5,099). Using structural equation modeling, we simultaneously tested for indirect pathways between polygenic scores for externalizing and neurodevelopmental problems (PGS-EXT and PGS-NDD) and academic achievement (age 12 in the Generation R Study and age 16 in ALSPAC) via children's symptomatology for conduct, attention, social, and oppositional defiant problems reported by mothers during early childhood (Generation R Study) and from childhood to adolescence (ALSPAC study). Our models were adjusted for children's sex, exposure to adversity, cognitive abilities, early school achievement (only in ALSPAC), and genetic predisposition to educational attainment. RESULTS: In both cohorts, we found that higher levels of PGS-NDD were associated with lower levels of academic achievement via higher attention problems. In adolescence only, we found that higher levels of PGS-NDD and PGS-EXT were associated with lower academic achievement via higher levels of conduct problems. CONCLUSIONS: Genetic predispositions to EXT and NDD were indirectly associated with academic achievement beyond the PGS for educational attainment, highlighting the need for sustained efforts to support children with attention problems in educational settings and to intervene on conduct problems, particularly during adolescence. PRE-REGISTRATION NUMBER: Doi: 10.17605/OSF.IO/SQTJH.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".