Evidence map›Paper›PMID 39993652›Full record

SynthesisBiological psychiatry2025

Dissecting Schizophrenia Biology Using Pleiotropy With Cognitive Genomics.

Upasana Bhattacharyya, Jibin John, Todd Lencz, Max Lam

Abstract readMeta-Analysis
In one paragraph

Synthesis in Biological psychiatry, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Article
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  6. Review
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors.

Upasana BhattacharyyaInstitute of Behavioral Science, Feinstein Institutes for Medical Research, Manhasset, New York; Division of Psychiatry Research, Zucker Hillside Hospital, Glen Oaks, New York.
Jibin JohnInstitute of Behavioral Science, Feinstein Institutes for Medical Research, Manhasset, New York; Division of Psychiatry Research, Zucker Hillside Hospital, Glen Oaks, New York.
Todd LenczInstitute of Behavioral Science, Feinstein Institutes for Medical Research, Manhasset, New York; Division of Psychiatry Research, Zucker Hillside Hospital, Glen Oaks, New York; Departments of Psychiatry and Molecular Medicine, Zucker School of Medicine at Hofstra/Northwell, Hempstead, New York. Electronic address: tlencz@northwell.edu.
Max LamInstitute of Behavioral Science, Feinstein Institutes for Medical Research, Manhasset, New York; Institute of Mental Health, Singapore; Department of Population and Global Health, Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore. Electronic address: max.lam@ntu.edu.sg.

Funding

Cognitive Genomics as a Window on Neurodevelopment and PsychopathologyR01MH117646 · NIMH · FEINSTEIN INSTITUTE FOR MEDICAL RESEARCH · PI TODD LENCZ · 2018 to 2026
$4.7M
NIMH NIH HHS R01 MH117646
6 · The paper itself

Abstract

backgroundGiven the increasingly large number of loci discovered by psychiatric genome-wide association studies (GWASs), specification of the key biological pathways that underlie these loci has become a priority for the field. We have previously leveraged the pleiotropic genetic relationships between schizophrenia (SCZ) and 2 cognitive phenotypes (educational attainment and cognitive task performance) to differentiate 2 subsets of illness-relevant single nucleotide polymorphisms (SNPs): 1) those with concordant alleles, which are associated with reduced cognitive performance and educational attainment and increased SCZ risk, and 2) those with discordant alleles, which are linked to reduced educational and/or cognitive levels but lower SCZ susceptibility.

methodsIn the current study, we extended our prior work, utilizing larger input GWAS datasets and a more powerful statistical approach to pleiotropic meta-analysis, the pleiotropic locus exploration and interpretation using optimal test (PLEIO).

resultsOur pleiotropic meta-analysis of SCZ and the 2 cognitive phenotypes revealed 768 significant pleiotropic loci (166 novel). Among these, 347 loci harbored concordant SNPs, 270 encompassed discordant SNPs, and 151 dual loci contained concordant and discordant SNPs. Competitive gene-set analysis using MAGMA linked concordant SNP loci with neurodevelopmental pathways (e.g., neurogenesis), whereas discordant loci were associated with mature neuronal synaptic functions. These distinctions were also observed in BrainSpan analysis of temporal enrichment patterns across developmental periods, with concordant loci containing more prenatally expressed genes than discordant loci. Dual loci were enriched for genes related to messenger RNA translation initiation, which represents a novel finding in the SCZ literature.

conclusionsPleiotropic analysis permits not only enhanced statistical power for locus discovery but also the ability to parse distinct biological processes associated with endophenotypes.

Indexed as

CognitionGenetic PleiotropySchizophreniaEducational StatusFemaleGenetic Predisposition to DiseaseGenome-Wide Association StudyGenomicsHumansPhenotypePolymorphism, Single NucleotideCognitionEducational attainmentGWASPleiotropySchizophrenia

Identifiers

PMID39993652
PMCPMC12353775

What Socratic holds

Textmetadata
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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 Socratic graph.