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Evidence for Genetic Overlap Between Schizophrenia and Age at First Birth in Women

2016· article· en· W2304069640 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

fundA Canadian funder is recorded on the work.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueJAMA Psychiatry · 2016
Typearticle
Languageen
FieldMedicine
TopicSchizophrenia research and treatment
Canadian institutionsnot available
FundersDivision of Cancer Epidemiology and Genetics, National Cancer InstituteLawrence Berkeley National LaboratoryDavid Geffen School of Medicine, University of California, Los AngelesRussian Academy of SciencesEconomic and Social Research CouncilUppsala UniversitetUniversity of GalwayTartu ÜlikoolMedical Research CouncilRoy J. and Lucille A. Carver College of Medicine, University of IowaMcLean HospitalFriedman Brain Institute, Icahn School of Medicine at Mount SinaiStanley Center for Psychiatric Research, Broad InstituteUniversität WienDepartment of Psychiatry, Columbia UniversityQueen's UniversityJohns Hopkins Bloomberg School of Public HealthUniversity of North Carolina at Chapel HillPfizerUniversity of California, Los AngelesNational Institutes of HealthH. Lundbeck A/SRheinische Friedrich-Wilhelms-Universität BonnNational Health and Medical Research CouncilPomorski Uniwersytet Medyczny W SzczecinieKing's College LondonCentre National de la Recherche ScientifiqueNational Cancer InstituteLundbeckfondenNederlandse Organisatie voor Wetenschappelijk OnderzoekNational Institute of Mental HealthEesti TeadusagentuurStatens Serum InstitutUniversiteit van AmsterdamQueensland Brain InstituteKarolinska InstitutetUniversity of QueenslandInstitut National de la Santé et de la Recherche MédicaleBroad InstituteMassachusetts General HospitalQueen's University BelfastWashington University in St. LouisNational University of IrelandHelsingin YliopistoU.S. Department of Veterans AffairsNational Institute for Health and Care ResearchAarhus UniversitetshospitalMedizinische Universität WienUniversity of Colorado BoulderAarhus UniversitetWellcome TrustUniversity of Southern CaliforniaJane and Terry Semel Institute for Neuroscience and Human Behavior, University of California, Los AngelesPécsi TudományegyetemJohns Hopkins UniversityVirginia Commonwealth University
KeywordsBiobankSchizophrenia (object-oriented programming)Genome-wide association studyOffspringMedicineDemographyGeneticsPsychiatryBiologySingle-nucleotide polymorphismPregnancyGenotypeGene

Abstract

fetched live from OpenAlex

IMPORTANCE: A recently published study of national data by McGrath et al in 2014 showed increased risk of schizophrenia (SCZ) in offspring associated with both early and delayed parental age, consistent with a U-shaped relationship. However, it remains unclear if the risk to the child is due to psychosocial factors associated with parental age or if those at higher risk for SCZ tend to have children at an earlier or later age. OBJECTIVE: To determine if there is a genetic association between SCZ and age at first birth (AFB) using genetically informative but independently ascertained data sets. DESIGN, SETTING, AND PARTICIPANTS: This investigation used multiple independent genome-wide association study data sets. The SCZ sample comprised 18 957 SCZ cases and 22 673 controls in a genome-wide association study from the second phase of the Psychiatric Genomics Consortium, and the AFB sample comprised 12 247 genotyped women measured for AFB from the following 4 community cohorts: Estonia (Estonian Genome Center Biobank, University of Tartu), the Netherlands (LifeLines Cohort Study), Sweden (Swedish Twin Registry), and the United Kingdom (TwinsUK). Schizophrenia genetic risk for each woman in the AFB community sample was estimated using genetic effects inferred from the SCZ genome-wide association study. MAIN OUTCOMES AND MEASURES: We tested if SCZ genetic risk was a significant predictor of response variables based on published polynomial functions that described the relationship between maternal age and SCZ risk in offspring in Denmark. We substituted AFB for maternal age in these functions, one of which was corrected for the age of the father, and found that the fit was superior for the model without adjustment for the father's age. RESULTS: We observed a U-shaped relationship between SCZ risk and AFB in the community cohorts, consistent with the previously reported relationship between SCZ risk in offspring and maternal age when not adjusted for the age of the father. We confirmed that SCZ risk profile scores significantly predicted the response variables (coefficient of determination R2 = 1.1E-03, P = 4.1E-04), reflecting the published relationship between maternal age and SCZ risk in offspring by McGrath et al in 2014. CONCLUSIONS AND RELEVANCE: This study provides evidence for a significant overlap between genetic factors associated with risk of SCZ and genetic factors associated with AFB. It has been reported that SCZ risk associated with increased maternal age is explained by the age of the father and that de novo mutations that occur more frequently in the germline of older men are the underlying causal mechanism. This explanation may need to be revised if, as suggested herein and if replicated in future studies, there is also increased genetic risk of SCZ in older mothers.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.067
Threshold uncertainty score0.450

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.040
GPT teacher head0.312
Teacher spread0.272 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it