Evidence map›Paper›PMID 30197049›Full record

ArticleBiological psychiatry. Cognitive neuroscience and neuroimaging2019

Association of Whole-Genome and NETRIN1 Signaling Pathway-Derived Polygenic Risk Scores for Major Depressive Disorder and White Matter Microstructure in the UK Biobank.

Miruna C Barbu, Yanni Zeng, Xueyi Shen, Simon R Cox, Toni-Kim Clarke, Jude Gibson, Mark J Adams, Mandy Johnstone, Chris S Haley, Stephen M Lawrie and 5 more

Abstract read
In one paragraph

Article in Biological psychiatry. Cognitive neuroscience and neuroimaging, 2019. 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. Review
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  8. Journal of psychiatry & neuroscience : JPN · 2020
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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

15 authors.

Miruna C BarbuDivision of Psychiatry, Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, Scotland. Electronic address: s1571976@sms.ed.ac.uk.
Yanni ZengMedical Research Council, Human Genetics Unit, University of Edinburgh, Edinburgh, Scotland.
Xueyi ShenDivision of Psychiatry, Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, Scotland.
Simon R CoxCentre for Cognitive Ageing and Cognitive Epidemiology, Department of Psychology, University of Edinburgh, Edinburgh, Scotland.
Toni-Kim ClarkeDivision of Psychiatry, Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, Scotland.
Jude GibsonDivision of Psychiatry, Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, Scotland.
Mark J AdamsDivision of Psychiatry, Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, Scotland.
Mandy JohnstoneDivision of Psychiatry, Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, Scotland; Institute of Genetics and Molecular Medicine, University of Edinburgh, Edinburgh, Scotland.
Chris S HaleyMedical Research Council, Human Genetics Unit, University of Edinburgh, Edinburgh, Scotland.
Stephen M LawrieDivision of Psychiatry, Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, Scotland.
Ian J DearyCentre for Cognitive Ageing and Cognitive Epidemiology, Department of Psychology, University of Edinburgh, Edinburgh, Scotland.
Major Depressive Disorder Working Group of the Psychiatric Genomics ConsortiumMajor Depression Disorder Working Group of the Psychiatric Genomics Consortium.
23andMe Research Team23andMe, Inc., Mountain View, California.
Andrew M McIntoshDivision of Psychiatry, Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, Scotland; Centre for Cognitive Ageing and Cognitive Epidemiology, Department of Psychology, University of Edinburgh, Edinburgh, Scotland.
Heather C WhalleyDivision of Psychiatry, Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, Scotland.

Funding

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
Leveraging sources of heterogeneity to delineate the genetic architecture of major depressive disorderK01MH113848 · NIMH · VIRGINIA COMMONWEALTH UNIVERSITY · PI PETERSON, ROSEANN ELIZABETH · 2018 to 2020
$546k
Biotechnology and Biological Sciences Research CouncilChief Scientist Office CZD/16/6Medical Research Council G0200243Medical Research Council MC_PC_17228Medical Research Council MC_PC_U127592696Medical Research Council MC_QA137853Medical Research Council MC_UU_00007/10Medical Research Council MR/K026992/1Medical Research Council MR/M013111/1Medical Research Council MR/N015746/1Medical Research Council MR/R024065/1NIMH NIH HHS K01 MH113848NIMH NIH HHS U01 MH109536Wellcome Trust 100135Wellcome Trust 104036/Z/14/Z
6 · The paper itself

Abstract

backgroundMajor depressive disorder is a clinically heterogeneous psychiatric disorder with a polygenic architecture. Genome-wide association studies have identified a number of risk-associated variants across the genome and have reported growing evidence of NETRIN1 pathway involvement. Stratifying disease risk by genetic variation within the NETRIN1 pathway may provide important routes for identification of disease mechanisms by focusing on a specific process, excluding heterogeneous risk-associated variation in other pathways. Here, we sought to investigate whether major depressive disorder polygenic risk scores derived from the NETRIN1 signaling pathway (NETRIN1-PRSs) and the whole genome, excluding NETRIN1 pathway genes (genomic-PRSs), were associated with white matter microstructure.

methodsWe used two diffusion tensor imaging measures, fractional anisotropy (FA) and mean diffusivity (MD), in the most up-to-date UK Biobank neuroimaging data release (FA: n = 6401; MD: n = 6390).

resultsWe found significantly lower FA in the superior longitudinal fasciculus (β = -.035, p

conclusionsOur findings indicate that variation in the NETRIN1 signaling pathway may confer risk for major depressive disorder through effects on a number of white matter tracts.

Indexed as

AgedBiological Specimen BanksBrainDiffusion Tensor ImagingFemaleGenetic Predisposition to DiseaseGenome-Wide Association StudyHumansMajor Depressive DisorderMaleMiddle AgedMultifactorial InheritanceNetrin-1Polymorphism, Single NucleotideSignal TransductionUnited KingdomNetrin-1NTN1 protein, humanBiological pathwayMajor depressive disorderNETRIN1Polygenic risk scoreThalamic radiationsWhite matter

Identifiers

PMID30197049
PMCPMC6374980

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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.