Evidence map›Paper›PMID 33727652›Full record

ArticleScientific reports2021

Genetic variation of RNF145 gene and blood lipid levels in Xinjiang population, China.

Jing Ming, Xian Wei, Min Han, Dilare Adi, Jialin Abuzhalihan, Yong-Tao Wang, Yi-Ning Yang, Xiao-Mei Li, Xiang Xie, Zhen-Yan Fu and 2 more

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.4field-weighted citation impact, top 47% 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

3 citing papers in PubMed, 5 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

12 authors at 2 institutions in 1 country.

Jing Ming *Department of Cardiology, First Affiliated Hospital of Xinjiang Medical University, Urumqi, 830054, People's Republic of China.
Xian Wei *Department of Cardiology, First Affiliated Hospital of Xinjiang Medical University, Urumqi, 830054, People's Republic of China.
Min HanDepartment of Cardiology, First Affiliated Hospital of Xinjiang Medical University, Urumqi, 830054, People's Republic of China.
Dilare AdiDepartment of Cardiology, First Affiliated Hospital of Xinjiang Medical University, Urumqi, 830054, People's Republic of China.
Jialin AbuzhalihanDepartment of Cardiology, First Affiliated Hospital of Xinjiang Medical University, Urumqi, 830054, People's Republic of China.
Yong-Tao WangDepartment of Cardiology, First Affiliated Hospital of Xinjiang Medical University, Urumqi, 830054, People's Republic of China.
Yi-Ning YangDepartment of Cardiology, First Affiliated Hospital of Xinjiang Medical University, Urumqi, 830054, People's Republic of China.
Xiao-Mei LiDepartment of Cardiology, First Affiliated Hospital of Xinjiang Medical University, Urumqi, 830054, People's Republic of China.
Xiang XieDepartment of Cardiology, First Affiliated Hospital of Xinjiang Medical University, Urumqi, 830054, People's Republic of China.
Zhen-Yan FuDepartment of Cardiology, First Affiliated Hospital of Xinjiang Medical University, Urumqi, 830054, People's Republic of China.
Min-Tao GaiXinjiang Key Laboratory of Cardiovascular Disease Research, Urumqi, 830054, People's Republic of China.
Yi-Tong MaDepartment of Cardiology, First Affiliated Hospital of Xinjiang Medical University, Urumqi, 830054, People's Republic of China. myt_xj@sina.com.
First Affiliated Hospital of Xinjiang Medical University · CNXinjiang Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Dyslipidemia is one of the main risk factors for coronary heart disease (CHD). The E3 ubiquitin ligase which is encoded by the ring finger protein 145 (RNF145) gene is very important in the mediation of cholesterol synthesis and effectively treats hypercholesterolemia. Thus, the purpose of the present research is to investigate the connection between the polymorphism of the RNF145 gene and cholesterol levels in the populations in Xinjiang, China. A total of 1396 participants (Male: 628, Female: 768) were included in this study for genetic analysis of RNF145 gene, and we used the modified multiple connection detection response (iMLDR) technology to label two SNPs (rs17056583, rs12188266) of RNF145 genotyping. The relationship between the genotypes and the lipid profiles was analyzed with general linear model analysis after adjusting confounding variables. Through the analysis of the two SNPs in RNF145 gene, we discovered that both rs17056583 and rs12188266 were related to total cholesterol (TC) and low-density lipoprotein cholesterol (LDL-C) concentrations (All P < 0.001). In addition, the association of rs17056583 and rs12188266 with lipid profiles concentrations is still statistically significant after multivariate adjustment of sex, age, smoking, obesity, drinking, diabetes, hypertension and lipid profiles. Meanwhile, we also found that rs17056583 was associated with high triglycerides concentrations before and after adjustment (All P < 0.001). Our study shows that both rs17056583 and rs12188266 SNPs of RNP145 gene are related to TC and LDL-C concentrations in Xinjiang population.

Indexed as

BiomarkersGenetic VariationMinority GroupsAdultAllelesChinaFemaleGene FrequencyGenotypeHumansLipidsMalePolymorphism, Single NucleotidePublic Health SurveillanceUbiquitin-Protein LigasesBiomarkersLipidsUbiquitin-Protein Ligases

Identifiers

PMID33727652
PMCPMC7966793
OpenAlexW3136290181

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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.