Evidence map›Paper›PMID 34799693›Full record

ArticleMolecular psychiatry2022

Novel disease associations with schizophrenia genetic risk revealed in ~400,000 UK Biobank participants.

Ruyue Zhang, Arvid Sjölander, Alexander Ploner, Donghao Lu, Cynthia M Bulik, Sarah E Bergen

Open access · greenAbstract read
In one paragraph

Article in Molecular psychiatry, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed, 1 pooled it
3.6field-weighted citation impact, top 6% 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

18 citing papers in PubMed, 1 synthesis or guideline pooled it, 31 citations in OpenAlex.

  1. Pooled it
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  12. New insights from the last decade of research in psychiatric genetics: discoveries, challenges and clinical implications.World psychiatry : official journal of the World Psychiatric Association (WPA) · 2023
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors at 3 institutions in 2 countries.

Ruyue ZhangDepartment of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden.ORCID http://orcid.org/0000-0001-5747-9428
Arvid SjölanderDepartment of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden.
Alexander PlonerDepartment of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden.ORCID http://orcid.org/0000-0002-5042-8326
Donghao LuDepartment of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden.ORCID http://orcid.org/0000-0002-4186-8661
Cynthia M BulikDepartment of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden.ORCID http://orcid.org/0000-0001-7772-3264
Sarah E BergenDepartment of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden. sbergen@gmail.com.ORCID http://orcid.org/0000-0002-5888-0034
Karolinska Institutet · SEHarvard University · USUniversity of North Carolina at Chapel Hill · US

Funding

Eating Disorders Genetics Initiative (EDGI)R01MH120170 · NIMH · UNIV OF NORTH CAROLINA CHAPEL HILL · PI BULIK, CYNTHIA M · 2019 to 2023
$7.2M
Predicting the multi-omic impact of psychiatric GWAS associationsR01MH118278 · NIMH · YALE UNIVERSITY · PI HUCKINS, LAURA MARIANNE · 2019 to 2023
$3.6M
Predicting Binge and Purge Episodes from Passive and Active Apple Watch Data Using a Dynamical Systems ApproachR01MH119084 · NIMH · UNIV OF NORTH CAROLINA CHAPEL HILL · PI BULIK, CYNTHIA M, BUTNER, JONATHAN · 2019 to 2022
$2.8M
1/7 Psychiatric Genomics Consortium: Finding actionable variationU01MH109528 · NIMH · UNIV OF NORTH CAROLINA CHAPEL HILL · PI SULLIVAN, PATRICK F · 2016 to 2020
$2.5M
Schizophrenia Comorbidities: Common Genes and ClustersR21MH116188 · NIMH · KAROLINSKA INSTITUTE · PI BERGEN, SARAH E · 2018 to 2019
$272k
Medical Research Council MC_PC_17228Medical Research Council MC_QA137853NIMH NIH HHS R01 MH118278NIMH NIH HHS R01 MH119084NIMH NIH HHS R01 MH120170NIMH NIH HHS R21 MH116188NIMH NIH HHS U01 MH109528
6 · The paper itself

Abstract

Schizophrenia is a serious mental disorder with considerable somatic and psychiatric morbidity. It is unclear whether comorbid health conditions predominantly arise due to shared genetic risk or consequent to having schizophrenia. To explore the contribution of genetic risk for schizophrenia, we analysed the effect of schizophrenia polygenic risk scores (PRS) on a broad range of health problems in 406 929 individuals with no schizophrenia diagnosis from the UK Biobank. Diagnoses were derived from linked health data including primary care, hospital inpatient records, and registers with information on cancer and deaths. Schizophrenia PRS were generated and tested for associations with general health conditions, 16 ICD10 main chapters, and 603 diseases using linear and logistic regressions. Higher schizophrenia PRS was significantly associated with poorer overall health ratings, more hospital inpatient diagnoses, and more unique illnesses. It was also significantly positively associated with 4 ICD10 chapters: mental disorders; respiratory diseases; digestive diseases; and pregnancy, childbirth and the puerperium, but negatively associated with musculoskeletal disorders. Thirty-one specific phenotypes were significantly associated with schizophrenia PRS, and the 19 novel findings include several musculoskeletal diseases, respiratory diseases, digestive diseases, varicose veins, pituitary hyperfunction, and other peripheral nerve disorders. These findings extend knowledge of the pleiotropic effect of genetic risk for schizophrenia and offer insight into how some conditions often comorbid with schizophrenia arise. Additional studies incorporating the genetic basis of hormone regulation and involvement of immune mechanisms in the pathophysiology of schizophrenia may further elucidate the biological mechanisms underlying schizophrenia and its comorbid conditions.

Indexed as

SchizophreniaBiological Specimen BanksFemaleGenetic Predisposition to DiseaseGenome-Wide Association StudyHumansMultifactorial InheritanceRisk FactorsUnited Kingdom

Identifiers

PMID34799693
PMCPMC9106855
OpenAlexW3211560245

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.