ReviewBiology2026
Genetic Variants from Large Cohorts and Familial Studies Implicate Common Mechanisms in Schizophrenia.
Review in Biology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
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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.
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.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Schizophrenia has an estimated population prevalence of 1%, but the etiology of this devastating psychiatric condition remains largely uncharacterized. A pronounced genetic component underlies schizophrenia, with heritability estimates ranging from 60% to 80%. Until now, genome-wide association studies have successfully identified 287 distinct genetic loci associated with schizophrenia, but these primarily involve common variants that have minimal individual risk. The recent advent of exome sequencing and genome sequencing has identified ultra-rare sequence variants associated with schizophrenia in familial cases as well as in large cohorts. These studies have implicated multiple gene variants that individually have a large effect size in contributing to schizophrenia. A comparison indicates that these genes exhibit high expression levels in the central nervous system and their protein products participate in many converging pathways encompassing synaptic transmission, glutamatergic neurotransmission, chromatin modification processes, transcriptional regulation, and ubiquitin-proteasome degradation. Although model systems have been established for some genes, most remain to be further studied to identify how gene dysfunction correlates with disease.
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