Evidence map›Paper›PMID 27529621›Full record

ArticlePloS one2016

The First Pilot Genome-Wide Gene-Environment Study of Depression in the Japanese Population.

Takeshi Otowa, Yoshiya Kawamura, Akizumi Tsutsumi, Norito Kawakami, Chiemi Kan, Takafumi Shimada, Tadashi Umekage, Kiyoto Kasai, Katsushi Tokunaga, Tsukasa Sasaki

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
4.8field-weighted citation impact, top 5% 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

16 citing papers in PubMed, 33 citations in OpenAlex.

  1. Review
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  11. Association BetweenFrontiers in psychiatry · 2020
    Article
  12. Epigenetics and Depression: An Update.Psychiatry investigation · 2019
    Article
  13. Article
  14. Article
  15. Article
  16. Genome-wide gene-environment interaction in depression: A systematic evaluation of candidate genes: The childhood trauma working-group of PGC-MDD.American journal of medical genetics. Part B, Neuropsychiatric genetics : the official publication of the International Society of Psychiatric Genetics · 2018
    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

10 authors at 5 institutions in 1 country.

Takeshi OtowaGraduate School of Clinical Psychology, Teikyo Heisei University Major of Professional Clinical Psychology, Tokyo, Japan.
Yoshiya KawamuraDepartment of Psychiatry, Shonan Kamakura General Hospital, Kanagawa, Japan.
Akizumi TsutsumiDepartment of Public Health, Kitasato University School of Medicine, Sagamihara, Kanagawa, Japan.
Norito KawakamiDepartment of Mental Health, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.
Chiemi KanDepartment of Mental Health, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.
Takafumi ShimadaDepartment of Neuropsychiatry, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.
Tadashi UmekageDepartment of Neuropsychiatry, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.
Kiyoto KasaiDepartment of Neuropsychiatry, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.
Katsushi TokunagaDepartment of Human Genetics, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.
Tsukasa SasakiLaboratory of Health Education, Graduate School of Education, The University of Tokyo, Tokyo, Japan.
The University of Tokyo · JPJapan Graduate School of Education University · JPKitasato University · JPShonan Kamakura General Hospital · JPTeikyo Heisei University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Stressful events have been identified as a risk factor for depression. Although gene-environment (G × E) interaction in a limited number of candidate genes has been explored, no genome-wide search has been reported. The aim of the present study is to identify genes that influence the association of stressful events with depression. Therefore, we performed a genome-wide G × E interaction analysis in the Japanese population. A genome-wide screen with 320 subjects was performed using the Affymetrix Genome-Wide Human Array 6.0. Stressful life events were assessed using the Social Readjustment Rating Scale (SRRS) and depression symptoms were assessed with self-rating questionnaires using the Center for Epidemiologic Studies Depression (CES-D) scale. The p values for interactions between single nucleotide polymorphisms (SNPs) and stressful events were calculated using the linear regression model adjusted for sex and age. After quality control of genotype data, a total of 534,848 SNPs on autosomal chromosomes were further analyzed. Although none surpassed the level of the genome-wide significance, a marginal significant association of interaction between SRRS and rs10510057 with depression were found (p = 4.5 × 10-8). The SNP is located on 10q26 near Regulators of G-protein signaling 10 (RGS10), which encodes a regulatory molecule involved in stress response. When we investigated a similar G × E interaction between depression (K6 scale) and work-related stress in an independent sample (n = 439), a significant G × E effect on depression was observed (p = 0.015). Our findings suggest that rs10510057, interacting with stressors, may be involved in depression risk. Incorporating G × E interaction into GWAS can contribute to find susceptibility locus that are potentially missed by conventional GWAS.

Indexed as

Gene-Environment InteractionGenome-Wide Association StudyAdultDepressionFemaleHumansJapanMalePilot ProjectsPolymorphism, Single NucleotideStress, Psychological

Identifiers

PMID27529621
PMCPMC4986946
OpenAlexW2509360620

What OpenQuestion holds

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LicenceCC BY
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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.