Evidence map›Paper›PMID 29906448›Full record

ArticleCell2018

Genomic Dissection of Bipolar Disorder and Schizophrenia, Including 28 Subphenotypes.

Bipolar Disorder and Schizophrenia Working Group of the Psychiatric Genomics Consortium. Electronic address: douglas.ruderfer@vanderbilt.edu, Bipolar Disorder and Schizophrenia Working Group of the Psychiatric Genomics Consortium

Abstract read
In one paragraph

Article in Cell, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 373 papers, 8 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
373citing papers in PubMed, 8 pooled it
–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

373 citing papers in PubMed, 8 syntheses or guidelines pooled it.

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  20. The Regulatory Potential of Long Non-Coding RNAs in Bipolar Disorder.International journal of molecular sciences · 2026
    Review

313 more citing papers are in PubMed but not listed here.

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

2 authors.

Bipolar Disorder and Schizophrenia Working Group of the Psychiatric Genomics Consortium. Electronic address: douglas.ruderfer@vanderbilt.edu
Bipolar Disorder and Schizophrenia Working Group of the Psychiatric Genomics Consortium

Funding

Identification of Genes Involved in Major Mood DisordersZIAMH002843 · NIMH · NATIONAL INSTITUTE OF MENTAL HEALTH · PI MCMAHON, FRANCIS J · 2009 to 2025
$24.5M
African Ancestry Genomic Psychiatry CohortR01MH104964 · NIMH · SUNY DOWNSTATE MEDICAL CENTER · PI BIGDELI, TIM BERNARD, FANOUS, AYMAN H · 2015 to 2024
$16.7M
Genomic Psychiatry CohortR01MH085548 · NIMH · UNIVERSITY OF SOUTHERN CALIFORNIA · PI PATO, CARLOS N, PATO, MICHELE T · 2008 to 2012
$16.3M
Latino Ancestry Genomic Psychiatry CohortR01MH123451 · NIMH · SUNY DOWNSTATE MEDICAL CENTER · PI BIGDELI, TIM BERNARD, FANOUS, AYMAN H · 2020 to 2025
$7.1M
5/7 Psychiatric Genomics Consortium: Finding actionable variationU01MH109514 · NIMH · CARDIFF UNIVERSITY · PI O'DONOVAN, MICHAEL · 2016 to 2020
$2.9M
3/7 Psychiatric Genomics Consortium: Finding actionable variationU01MH109536 · NIMH · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI CHARNEY, ALEXANDER W, HUCKINS, LAURA MARIANNE · 2016 to 2020
$2.7M
Transcriptional consequences of structural variation in brains of schizophrenia patientsR01MH111776 · NIMH · VANDERBILT UNIVERSITY MEDICAL CENTER · PI RUDERFER, DOUGLAS · 2016 to 2019
$1.6M
Neuroimaging genetics to study social cognitive deficits in ASD and schizophreniaR00MH101367 · NIMH · MASSACHUSETTS GENERAL HOSPITAL · PI LEE, PHIL H. · 2017 to 2019
$747k
Medical Research Council G1000708Medical Research Council MR/L010305/1Medical Research Council MR/L023784/2Medical Research Council MR/M008436/1Medical Research Council MR/P005748/1NIMH NIH HHS R00 MH101367NIMH NIH HHS R01 MH085548NIMH NIH HHS R01 MH104964NIMH NIH HHS R01 MH111776NIMH NIH HHS R01 MH123451NIMH NIH HHS U01 MH109514NIMH NIH HHS U01 MH109536
6 · The paper itself

Abstract

Schizophrenia and bipolar disorder are two distinct diagnoses that share symptomology. Understanding the genetic factors contributing to the shared and disorder-specific symptoms will be crucial for improving diagnosis and treatment. In genetic data consisting of 53,555 cases (20,129 bipolar disorder [BD], 33,426 schizophrenia [SCZ]) and 54,065 controls, we identified 114 genome-wide significant loci implicating synaptic and neuronal pathways shared between disorders. Comparing SCZ to BD (23,585 SCZ, 15,270 BD) identified four genomic regions including one with disorder-independent causal variants and potassium ion response genes as contributing to differences in biology between the disorders. Polygenic risk score (PRS) analyses identified several significant correlations within case-only phenotypes including SCZ PRS with psychotic features and age of onset in BD. For the first time, we discover specific loci that distinguish between BD and SCZ and identify polygenic components underlying multiple symptom dimensions. These results point to the utility of genetics to inform symptomology and potential treatment.

Indexed as

Genome-Wide Association StudyBipolar DisorderCase-Control StudiesGenetic LociHumansMultifactorial InheritanceOdds RatioPhenotypeRiskSchizophreniaWhite Peoplebipolar disorderpolygenic riskpsychosisschizophreniasubphenotypes

Identifiers

PMID29906448
PMCPMC6432650

What OpenQuestion holds

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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.