Evidence map›Paper›PMID 37653373›Full record

ArticleJournal of neurodevelopmental disorders2023

Neurogenetic mechanisms of risk for ADHD: Examining associations of polygenic scores and brain volumes in a population cohort.

Quanfa He, Taylor J Keding, Qi Zhang, Jiacheng Miao, Justin D Russell, Ryan J Herringa, Qiongshi Lu, Brittany G Travers, James J Li

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Journal of neurodevelopmental disorders, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.7field-weighted citation impact, top 31% of its field
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

3 citing papers in PubMed, 3 citations in OpenAlex.

  1. Review
  2. Review
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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

9 authors at 3 institutions in 1 country.

Quanfa HeDepartment of Psychology, University of, Wisconsin-Madison, 1202 W. Johnson Street, Madison, WI, 53706, USA.
Taylor J KedingDepartment of Psychology, Yale University, New Haven, USA.
Qi ZhangDepartment of Educational Psychology, University of Wisconsin-Madison, Madison, USA.
Jiacheng MiaoDepartment of Biostatistics and Medical Informatics, University of Wisconsin-Madison, Madison, USA.
Justin D RussellDepartment of Psychiatry, School of Medicine and Public Health, University of Wisconsin, Madison, USA.
Ryan J HerringaDepartment of Psychiatry, School of Medicine and Public Health, University of Wisconsin, Madison, USA.
Qiongshi LuDepartment of Biostatistics and Medical Informatics, University of Wisconsin-Madison, Madison, USA.
Brittany G TraversWaisman Center, University of Wisconsin-Madison, Madison, USA.
James J LiDepartment of Psychology, University of, Wisconsin-Madison, 1202 W. Johnson Street, Madison, WI, 53706, USA. james.li@wisc.edu.ORCID http://orcid.org/0000-0001-8031-7216
University of Wisconsin–Madison · USJames Madison University · USYale University · US

Funding

Waisman Center Intellectual and Developmental Disabilities Research CenterP50HD105353 · NICHD · UNIVERSITY OF WISCONSIN-MADISON · PI Brittany Gail Travers · 2021 to 2026
$8.5M
NICHD NIH HHS P50 HD105353
6 · The paper itself

Abstract

backgroundADHD polygenic scores (PGSs) have been previously shown to predict ADHD outcomes in several studies. However, ADHD PGSs are typically correlated with ADHD but not necessarily reflective of causal mechanisms. More research is needed to elucidate the neurobiological mechanisms underlying ADHD. We leveraged functional annotation information into an ADHD PGS to (1) improve the prediction performance over a non-annotated ADHD PGS and (2) test whether volumetric variation in brain regions putatively associated with ADHD mediate the association between PGSs and ADHD outcomes.

methodsData were from the Philadelphia Neurodevelopmental Cohort (N = 555). Multiple mediation models were tested to examine the indirect effects of two ADHD PGSs-one using a traditional computation involving clumping and thresholding and another using a functionally annotated approach (i.e., AnnoPred)-on ADHD inattention (IA) and hyperactivity-impulsivity (HI) symptoms, via gray matter volumes in the cingulate gyrus, angular gyrus, caudate, dorsolateral prefrontal cortex (DLPFC), and inferior temporal lobe.

resultsA direct effect was detected between the AnnoPred ADHD PGS and IA symptoms in adolescents. No indirect effects via brain volumes were detected for either IA or HI symptoms. However, both ADHD PGSs were negatively associated with the DLPFC.

conclusionsThe AnnoPred ADHD PGS was a more developmentally specific predictor of adolescent IA symptoms compared to the traditional ADHD PGS. However, brain volumes did not mediate the effects of either a traditional or AnnoPred ADHD PGS on ADHD symptoms, suggesting that we may still be underpowered in clarifying brain-based biomarkers for ADHD using genetic measures.

Indexed as

Attention Deficit Disorder with HyperactivityNeurosciencesAdolescentBrainCerebral CortexGray MatterHumansADHDBrain volumeFunctional annotationMultiple mediationPolygenic scores

Identifiers

PMID37653373
PMCPMC10469494
OpenAlexW4386328531

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.