Evidence map›Paper›PMID 29306175›Full record

ArticlePsychiatry research2018

Joint evaluation of serum C-Reactive Protein levels and polygenic risk scores as risk factors for schizophrenia.

Vishwajit L Nimgaonkar, Faith Dickerson, Jennie G Pouget, Kodavali Chowdari, Colm O'Dushlaine, Joel Wood, Lambertus Klei, Bernie Devlin, Robert Yolken

Open access · greenAbstract read
In one paragraph

Article in Psychiatry research, 2018. 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
0.9field-weighted citation impact, top 20% 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, 6 citations in OpenAlex.

  1. The association between C-reactive protein, mood disorder, and cognitive function in UK Biobank.European psychiatry : the journal of the Association of European Psychiatrists · 2021
    Article
  2. Article
  3. Article
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 5 institutions in 2 countries.

Vishwajit L NimgaonkarDepartment of Psychiatry, University of Pittsburgh, School of Medicine, Pittsburgh, PA, United States; Department of Human Genetics, University of Pittsburgh, Graduate School of Public Health, Pittsburgh, PA, United States. Electronic address: nimga@pitt.edu.
Faith DickersonStanley Research Program, Sheppard Pratt Health System, Baltimore, MD, United States.
Jennie G PougetDepartment of Psychiatry, University of Toronto, Toronto, Canada.
Kodavali ChowdariDepartment of Psychiatry, University of Pittsburgh, School of Medicine, Pittsburgh, PA, United States.
Colm O'DushlaineBroad Institute of MIT and Harvard University, Boston, MA, United States.
Joel WoodDepartment of Psychiatry, University of Pittsburgh, School of Medicine, Pittsburgh, PA, United States.
Lambertus KleiDepartment of Psychiatry, University of Pittsburgh, School of Medicine, Pittsburgh, PA, United States.
Bernie DevlinDepartment of Psychiatry, University of Pittsburgh, School of Medicine, Pittsburgh, PA, United States.
Robert YolkenStanley Division of Neurovirology, Department of Pediatrics, Johns Hopkins University School of Medicine, Baltimore, MD, United States.
University of Pittsburgh · USBroad Institute · USJohns Hopkins Medicine · USSheppard Pratt Health System · USUniversity of Toronto · CA

Funding

A Neurobehavioral Family Study of SchizophreniaR01MH063480 · NIMH · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI NIMGAONKAR, VISHWAJIT LAXMIKANT · 2001 to 2018
$6.1M
Psychiatric research infrastructure for intervention and implementation in India – TEAMSD43TW009114 · FIC · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI Smita N Deshpande, Mary Elizabeth Hawk · 2014 to 2026
$3.2M
Multi-pronged genetic studies of schizophrenia in an inbred populationR01MH093246 · NIMH · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI MANSOUR, HADER A., NIMGAONKAR, VISHWAJIT LAXMIKANT · 2012 to 2016
$2.6M
3/5:Family-Based Genome-Wide Methylation Scan in Neurocognition and SchizophreniaRC2MH089859 · NIMH · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI NIMGAONKAR, VISHWAJIT LAXMIKANT · 2009 to 2010
$501k
FIC NIH HHS D43 TW009114NIMH NIH HHS R01 MH063480NIMH NIH HHS R01 MH093246NIMH NIH HHS RC2 MH089859
6 · The paper itself

Abstract

Several studies have indicated infectious and immune-related abnormalities in schizophrenia (Scz), including elevated serum C-reactive protein (CRP) - a well-known proxy for infections/immune abnormalities. A portion of the genetic risk for Scz can be estimated using the polygenic risk score (PGRS). It is not known whether there is an interaction in the risks traceable to CRP and PGRS. Patients with Scz and individuals without psychosis were evaluated systematically using DSM IV criteria (N=794, N=446, respectively). To estimate risk for Scz attributable to CRP and PGRS, serum from these participants was assayed for CRP levels using enzyme linked immunosorbent assays. PGRS was estimated from common DNA polymorphisms associated with Scz from genome wide association studies. CRP level and PGRS were not significantly correlated. Using a generalized linear logistic model, case/control status was evaluated in relation to the following predictors: CRP, PGRS, and demographic variables. CRP and PGRS were individually associated with case status; CRP: odds ratio (OR) 1.27, 95% confidence intervals (95% CI) 1.12, 1.43; p = 0.0001; PGRS: OR 1.66, 95% CI 1.47, 1.89; p = 1.28 ×10

Indexed as

AdultCase-Control StudiesC-Reactive ProteinFemaleGenetic Predisposition to DiseaseGenome-Wide Association StudyHumansMaleMiddle AgedMultifactorial InheritancePsychotic DisordersRisk FactorsSchizophreniaC-Reactive ProteinC Reactive ProteinGenetic associationPolygenic risk scoreSchizophreniaSNP

Identifiers

PMID29306175
PMCPMC6941903
OpenAlexW2778784707

What OpenQuestion holds

Textmetadata
LicenceTDM
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.