Evidence map›Paper›PMID 24548877›Full record

ArticleTranslational psychiatry2014

Polygenic determinants of white matter volume derived from GWAS lack reproducibility in a replicate sample.

S Papiol, M Mitjans, F Assogna, F Piras, C Hammer, C Caltagirone, B Arias, H Ehrenreich, G Spalletta

Abstract read
In one paragraph

Article in Translational psychiatry, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
–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

14 citing papers in PubMed.

  1. Article
  2. Review
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  6. A polygenic risk score analysis of psychosis endophenotypes across brain functional, structural, and cognitive domains.American journal of medical genetics. Part B, Neuropsychiatric genetics : the official publication of the International Society of Psychiatric Genetics · 2018
    Article
  7. Article
  8. Article
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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.

S Papiol1] Clinical Neuroscience, Max Planck Institute of Experimental Medicine, Göttingen, Germany [2] DFG Research Center for Nanoscale Microscopy and Molecular Physiology of the Brain (CNMPB), Göttingen, Germany [3] Centro de Investigaciones Biomédicas en Red de Salud Mental (CIBERSAM), Barcelona, Spain.
M Mitjans1] Clinical Neuroscience, Max Planck Institute of Experimental Medicine, Göttingen, Germany [2] Centro de Investigaciones Biomédicas en Red de Salud Mental (CIBERSAM), Barcelona, Spain [3] Unitat Antropologia, Departament de Biologia Animal, Facultat de Biologia and Institut de Biomedicina (IBUB), Universitat de Barcelona, Barcelona, Spain.
F AssognaFondazione Santa Lucia, Laboratorio di Neuropsichiatria, Roma, Italy.
F PirasFondazione Santa Lucia, Laboratorio di Neuropsichiatria, Roma, Italy.
C HammerClinical Neuroscience, Max Planck Institute of Experimental Medicine, Göttingen, Germany.
C CaltagironeDepartment of Neuroscience, IRCCS Fondazione Santa Lucia and Tor Vergata University, Roma, Italy.
B Arias1] Centro de Investigaciones Biomédicas en Red de Salud Mental (CIBERSAM), Barcelona, Spain [2] Unitat Antropologia, Departament de Biologia Animal, Facultat de Biologia and Institut de Biomedicina (IBUB), Universitat de Barcelona, Barcelona, Spain.
H Ehrenreich1] Clinical Neuroscience, Max Planck Institute of Experimental Medicine, Göttingen, Germany [2] DFG Research Center for Nanoscale Microscopy and Molecular Physiology of the Brain (CNMPB), Göttingen, Germany.
G SpallettaFondazione Santa Lucia, Laboratorio di Neuropsichiatria, Roma, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A recent publication reported an exciting polygenic effect of schizophrenia (SCZ) risk variants, identified by a large genome-wide association study (GWAS), on total brain and white matter volumes in schizophrenic patients and, even more prominently, in healthy subjects. The aim of the present work was to replicate and then potentially extend these findings. According to the original publication, polygenic risk scores-using single nucleotide polymorphism (SNP) information of SCZ GWAS-(polygenic SCZ risk scores; PSS) were calculated in 122 healthy subjects, enrolled in a structural magnetic resonance imaging (MRI) study. These scores were computed based on P-values and odds ratios available through the Psychiatric GWAS Consortium. In addition, polygenic white matter scores (PWM) were calculated, using the respective SNP subset in the original publication. None of the polygenic scores, either PSS or PWM, were found to be associated with total brain, white matter or gray matter volume in our replicate sample. Minor differences between the original and the present study that might have contributed to lack of reproducibility (but unlikely explain it fully), are number of subjects, ethnicity, age distribution, array technology, SNP imputation quality and MRI scanner type. In contrast to the original publication, our results do not reveal the slightest signal of association of the described sets of GWAS-identified SCZ risk variants with brain volumes in adults. Caution is indicated in interpreting studies building on polygenic risk scores without replication sample.

Indexed as

Genome-Wide Association StudyAdultAgedAged, 80 and overBrainFemaleGenetic Predisposition to DiseaseGray MatterHumansItalyMagnetic Resonance ImagingMaleMiddle AgedMultifactorial InheritancePolymorphism, Single NucleotideWhite Matter

Identifiers

PMID24548877
PMCPMC3944630

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Registered trials

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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.