Evidence map›Paper›PMID 40119877›Full record

ArticleDevelopmental medicine and child neurology2025

A familial modeling framework for advancing precision medicine for children with neuropsychiatric disorders.

Jennifer L Bruno, Jacob Joseph Merrin, S M Hadi Hosseini, Tamar Green

Abstract read
In one paragraph

Article in Developmental medicine and child neurology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Precision medicine in neuropsychiatric disorders: Still a long way to go.Developmental medicine and child neurology · 2025
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Jennifer L BrunoDivision of Interdisciplinary Brain Sciences, Department of Psychiatry and Behavioral Sciences, Stanford University, Stanford, CA, USA.ORCID 0000-0001-7705-2456
Jacob Joseph MerrinDivision of Interdisciplinary Brain Sciences, Department of Psychiatry and Behavioral Sciences, Stanford University, Stanford, CA, USA.
S M Hadi HosseiniDivision of Interdisciplinary Brain Sciences, Department of Psychiatry and Behavioral Sciences, Stanford University, Stanford, CA, USA.ORCID 0000-0001-5186-7008
Tamar GreenDivision of Interdisciplinary Brain Sciences, Department of Psychiatry and Behavioral Sciences, Stanford University, Stanford, CA, USA.ORCID 0000-0001-5661-8297

Funding

Gaining insights: the effects of the RMK gain-of-function mutations on brain development and neurodevelopmental disordersR01HD108684 · NICHD · STANFORD UNIVERSITY · PI Tamar Green · 2022 to 2026
$3.0M
Ras/MAPK Mutations Effects on the Developing BrainK23HD090209 · NICHD · STANFORD UNIVERSITY · PI GREEN, TAMAR · 2018 to 2022
$837k
Toward a neuroscientific understanding of the interaction between Down syndrome and Alzheimer's disease pathologyK01AG083224 · NIA · STANFORD UNIVERSITY · PI JENNIFER L BRUNO · 2023 to 2026
$503k
National Institute of Child Health and Human Development HD090209 K23National Institute of Child Health and Human Development HD108684 R01Neurofibromatosis Therapeutic Acceleration ProgramNIA NIH HHS AG083224 K01NIA NIH HHS K01 AG083224NICHD NIH HHS K23 HD090209NICHD NIH HHS R01 HD108684Stanford Maternal & Child Health Research InstituteStephen Bechtel Endowed Faculty Scholar in Pediatric Translational Medicine
6 · The paper itself

Abstract

aimTo provide individualized estimates of expected child neuropsychiatric and neuroanatomical outcomes by using parent cognitive and behavioral traits in a predictive framework.

methodPredictive modeling was applied to 52 families of children with Noonan syndrome, a neurogenetic syndrome affecting the Ras/mitogen-activated protein kinase (MAPK) pathway.

resultsParent cognition (specifically visuospatial and motor abilities), depression, anxiety, and attention-deficit/hyperactivity disorder symptoms were significantly associated with child outcomes in these domains. Parent cognition was also significantly associated with child neuroanatomical variability. The middle temporal cortex was weighted strongly in the model predicting child neuroanatomy and not identified in previous work, but was correlated with parent cognition, suggesting a larger familial effect in this region.

interpretationUsing parent traits provides a more individualized estimate of expected child cognitive, behavioral, and neuroanatomical outcomes. Understanding how parent traits influence neuroanatomical outcomes helps to further a mechanistic understanding of the impact of Ras/MAPK on neurodevelopmental outcomes. Further refinement of predictive modeling to estimate individualized child outcomes will advance a precision medicine approach to treating Noonan syndrome, other neurogenetic syndromes, and neuropsychiatric disorders more broadly.

Indexed as

Noonan SyndromePrecision MedicineAdolescentAdultChildChild, PreschoolFemaleHumansMaleParents

Identifiers

PMID40119877
PMCPMC12353369

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.