Evidence map›Paper›PMID 32792993›Full record

ArticleFrontiers in psychiatry2020

Association Between

Mingzhe Zhao, Lu Chen, Zhengxue Qiao, Jiawei Zhou, Tianyu Zhang, Wenxin Zhang, Siyuan Ke, Xiaoyun Zhao, Xiaohui Qiu, Xuejia Song and 4 more

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Frontiers in psychiatry, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.0field-weighted citation impact, top 28% 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

7 citing papers in PubMed, 11 citations in OpenAlex.

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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

14 authors at 3 institutions in 1 country.

Mingzhe ZhaoPsychology Department, Public Health Institute, Harbin Medical University, Harbin, China.
Lu ChenDepartment of Endocrinology, Peking Union Medical College Hospital, Beijing, China.
Zhengxue QiaoPsychology Department, Public Health Institute, Harbin Medical University, Harbin, China.
Jiawei ZhouPsychology Department, Public Health Institute, Harbin Medical University, Harbin, China.
Tianyu ZhangPsychology Department, Public Health Institute, Harbin Medical University, Harbin, China.
Wenxin ZhangPsychology Department, Public Health Institute, Harbin Medical University, Harbin, China.
Siyuan KePsychology Department, Public Health Institute, Harbin Medical University, Harbin, China.
Xiaoyun ZhaoPsychology Department, Public Health Institute, Harbin Medical University, Harbin, China.
Xiaohui QiuPsychology Department, Public Health Institute, Harbin Medical University, Harbin, China.
Xuejia SongPsychology Department, Public Health Institute, Harbin Medical University, Harbin, China.
Erying ZhaoPsychology Department, Public Health Institute, Harbin Medical University, Harbin, China.
Hui PanDepartment of Endocrinology, Peking Union Medical College Hospital, Beijing, China.
Yanjie YangPsychology Department, Public Health Institute, Harbin Medical University, Harbin, China.
Xiuxian YangPsychology Department, Public Health Institute, Harbin Medical University, Harbin, China.
Harbin Medical University · CNChinese Academy of Medical Sciences & Peking Union Medical College · CNPeking Union Medical College Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionInvestigations of gene-environment (G×E) interactions in major depressive disorder (MDD) have been limited to hypothesis testing of candidate genes while poly-gene-environmental causation has not been adequately address. To this end, the present study analyzed the association between three candidate genes, two environmental factors, and MDD using a hypothesis-free testing approach.

methodsA logistic regression model was used to analyze interaction effects; a hierarchical regression model was used to evaluate the effects of different genotypes and the dose-response effects of the environment; genetic risk score (GRS) was used to estimate the cumulative contribution of genetic factors to MDD; and protein-protein interaction (PPI) analyses were carried out to evaluate the relationship between candidate genes and top MDD susceptibility genes.

resultsAllelic association analyses revealed significant effects of the interaction between the candidate genes

conclusions

Indexed as

A2MdepressionFoxO1G×E interactionpolymorphismTGF-β1

Identifiers

PMID32792993
PMCPMC7394695
OpenAlexW3041751329

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.