Evidence map›Paper›PMID 38711022›Full record

ArticleBMC medical genomics2024

Association between Mir-17-92 gene promoter polymorphisms and depression in a Chinese population.

Peng Liang, Xue Yang, Rui Long, Yue Li, Ziling Wang, Pingliang Yang, Yundan Liang

Abstract read
In one paragraph

Article in BMC medical genomics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 1 pooled it
–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

2 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. 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

7 authors.

Peng LiangDepartment of Pathology and Pathophysiology, School of Basic Medical Sciences, Chengdu Medical College, Chengdu, 610500, Sichuan, P.R. China.
Xue Yang *Department of Geriatric psychiatry, the First Special Hospital in Harbin, Harbin, P.R. China.
Rui LongDepartment of Pathology and Pathophysiology, School of Basic Medical Sciences, Chengdu Medical College, Chengdu, 610500, Sichuan, P.R. China.
Yue LiDepartment of Pathology and Pathophysiology, School of Basic Medical Sciences, Chengdu Medical College, Chengdu, 610500, Sichuan, P.R. China.
Ziling WangDepartment of Pathology and Pathophysiology, School of Basic Medical Sciences, Chengdu Medical College, Chengdu, 610500, Sichuan, P.R. China.
Pingliang Yang *Department of Anesthesiology, The First Affiliated Hospital of Chengdu Medical College, Chengdu, P.R. China. yangpingliang@126.com.
Yundan LiangDepartment of Pathology and Pathophysiology, School of Basic Medical Sciences, Chengdu Medical College, Chengdu, 610500, Sichuan, P.R. China. liangyundan2004@126.com.

Funding

Supplementation with Amino Acid Rehabilitative Therapy in TBI (SmART-TBI): A Randomized Placebo-Controlled Trial to Improve SleepI01CX002022 · VA · PORTLAND VA MEDICAL CENTER · PI Miranda M Lim · 2021 to 2026
–
CSRD VA I01 CX002022
6 · The paper itself

Abstract

backgroundDepression is a common chronic debilitating disease with a heavy social burden. single nucleotide polymorphisms (SNPs) can affect the function of microRNAs (miRNAs), which is in turn associated with neurological diseases. However, the association between SNPs located in the promoter region of miR-17-92 and the risk of depression remains unclear. Therefore, we investigated the association between rs982873, rs9588884 and rs1813389 polymorphisms in the promoter region of miR-17-92 and the incidence of depression in a Chinese population.

methodswe used GWAS (Genome-wide association study) and NCBI (National Center for Biotechnology Information) to screen three SNPs in the miR-17-92 cluster binding sites. A case-control study (including 555 cases and 541 controls) was conducted to investigate the relationship between the SNPs and risk of depression in different regions of China. The gene sequencing ii was used to genotype the collected blood samples.

resultsthe following genotypes were significantly associated with a reduced risk of depression: rs982873 TC (TC vs. TT: OR = 0.72, 95% CI, 0.54-0.96, P = 0.024; TC/CC vs. TT: OR = 0.74, 95% Cl, 0.56-0.96, P = 0.025); CG genotype of rs9588884 (CG vs. CC: OR = 0.74, 95% CI, 0.55-0.98, P = 0.033; CG/GG vs. CC: OR = 0.75, 95% Cl, 0.57-0.98, P = 0.036); and AG genotype of rs1813389 (AG vs. AA: OR = 0.75, 95% CI, 0.57-1.00, P = 0.049; AG/GG vs. AA: OR = 0.76, 95% Cl, 0.59-1.00, P = 0.047). Stratified analysis showed that there was no significant correlation between the three SNPS and variables such as family history of suicidal tendency (P > 0.05).

conclusionsour findings suggest that rs982873, rs9588884, and rs1813389 polymorphisms may be associated with protective factors for depression.

Indexed as

DepressionGenetic Predisposition to DiseaseMicroRNAsPolymorphism, Single NucleotidePromoter Regions, GeneticRNA, Long NoncodingAdultCase-Control StudiesChinaEast Asian PeopleFemaleGenome-Wide Association StudyHumansMaleMiddle AgedMicroRNAsMIR17HG, humanRNA, Long NoncodingDepressionGenetic susceptibilityMir-17-92 clusterSNP

Identifiers

PMID38711022
PMCPMC11075371

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.