Evidence map›Paper›PMID 38699340›Full record

ArticlemedRxiv : the preprint server for health sciences2024

Dissecting Schizophrenia Biology Using Pleiotropy with Cognitive Genomics.

Upasana Bhattacharyya, Jibin John, Todd Lencz, Max Lam

Abstract readPreprint
In one paragraph

Article in medRxiv : the preprint server for health sciences, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

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3 · Its place in the literature

Who cites it

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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, NY.
Jibin JohnInstitute of Behavioral Science, Feinstein Institutes for Medical Research, Manhasset, NY.
Todd LenczInstitute of Behavioral Science, Feinstein Institutes for Medical Research, Manhasset, NY.ORCID 0000-0001-8586-338X
Max LamInstitute of Behavioral Science, Feinstein Institutes for Medical Research, Manhasset, NY.ORCID 0000-0002-4256-7844

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

Given the increasingly large number of loci discovered by psychiatric GWAS, specification of the key biological pathways underlying these loci has become a priority for the field. We have previously leveraged the pleiotropic genetic relationships between schizophrenia and two cognitive phenotypes (educational attainment and cognitive task performance) to differentiate two subsets of illness-relevant SNPs: (1) those with "concordant" alleles, which are associated with reduced cognitive ability/education and increased schizophrenia risk; and (2) those with "discordant" alleles linked to reduced educational and/or cognitive levels but lower schizophrenia susceptibility. In the present study, we extend 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). Our pleiotropic meta-analysis of schizophrenia and the two cognitive phenotypes revealed 768 significant loci (159 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 related 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 mRNA translation initiation, representing a novel finding in the schizophrenia literature.

Indexed as

cognitioneducational attainmentGWASpleiotropyschizophrenia

Identifiers

PMID38699340
PMCPMC11065000

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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.