Evidence map›Paper›PMID 29670124›Full record

ArticleScientific reports2018

BCL3-PVRL2-TOMM40 SNPs, gene-gene and gene-environment interactions on dyslipidemia.

Liu Miao, Rui-Xing Yin, Shang-Ling Pan, Shuo Yang, De-Zhai Yang, Wei-Xiong Lin

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed
6.4field-weighted citation impact, top 3% 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

28 citing papers in PubMed, 42 citations in OpenAlex.

  1. Unveiling the multifaceted roles of BCL3: biological functions and disease implications.Apoptosis : an international journal on programmed cell death · 2026
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  14. Frontiers in genetics · 2021
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  16. Frontiers in cardiovascular medicine · 2021
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  17. Article
  18. Article
  19. Association of theAging · 2020
    Observational
  20. 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

6 authors at 2 institutions in 1 country.

Liu MiaoDepartment of Cardiology, Institute of Cardiovascular Diseases, The First Affiliated Hospital, Guangxi Medical University, Nanning, 530021, Guangxi, People's Republic of China.
Rui-Xing YinDepartment of Cardiology, Institute of Cardiovascular Diseases, The First Affiliated Hospital, Guangxi Medical University, Nanning, 530021, Guangxi, People's Republic of China. yinruixing@163.com.
Shang-Ling PanDepartment of Pathophysiology, School of Premedical Science, Guangxi Medical University, Nanning, 530021, Guangxi, People's Republic of China.
Shuo YangDepartment of Cardiology, Institute of Cardiovascular Diseases, The First Affiliated Hospital, Guangxi Medical University, Nanning, 530021, Guangxi, People's Republic of China.
De-Zhai YangDepartment of Molecular Genetics, Medical Scientific Research Center, Guangxi Medical University, Nanning, 530021, Guangxi, People's Republic of China.
Wei-Xiong LinDepartment of Molecular Genetics, Medical Scientific Research Center, Guangxi Medical University, Nanning, 530021, Guangxi, People's Republic of China.
Guangxi Medical University · CNFirst Affiliated Hospital of GuangXi Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Little is known about the association of the BCL3-PVRL2-TOMM40 SNPs and dyslipidemia. This study was to detect 12 BCL3-PVRL2-TOMM40 SNPs, gene-gene and gene-environment interactions on dyslipidemia in the Chinese Maonan population. Genotyping was performed in 1130 normal and 832 dyslipidemia participants. Generalized multifactor dimensionality reduction was used to screen the best interaction combination among SNPs and environmental exposures. Allele and genotype frequencies of the detected SNPs were different between the two groups (P < 0.05-0.001). Association of the 12 SNPs and serum lipid levels was observed (P < 0.004-0.001). Multiple-locus linkage disequilibrium was not statistically independent in the population (D' = 0.01-0.98). The dominant model of rs8100239 and rs157580 SNPs, several haplotypes and G × G interaction haplotypes contributed to a protection, whereas the dominant model of rs10402271, rs3810143, rs519113, rs6859 SNPs, another haplotypes and G × G interaction haplotypes revealed an increased morbidity function (P < 0.05-0.001). There were significant three-locus model involving SNP-SNP, SNP-environment, haplotype-haplotype interactions (P < 0.05-0.001). The subjects carrying several genotypes and haplotypes decreased dyslipidemia risk, whereas the subjects carrying other genotypes and haplotypes increased dyslipidemia risk. The BCL3-PVRL2-TOMM40 SNPs, gene-gene and gene-environment interactions on dyslipidemia were observed in the Chinese Maonan population.

Indexed as

Epistasis, GeneticGene-Environment InteractionPolymorphism, Single NucleotideAllelesB-Cell Lymphoma 3 ProteinBiomarkersChinaDyslipidemiasFemaleGene FrequencyGenetic Association StudiesGenetic Predisposition to DiseaseGenotypeHaplotypesHigh-Throughput Nucleotide SequencingHumansB-Cell Lymphoma 3 ProteinBCL3 protein, humanBiomarkersLipidsMembrane Transport ProteinsMitochondrial Precursor Protein Import Complex ProteinsNECTIN2 protein, humanNectinsProto-Oncogene ProteinsTOMM40 protein, humanTranscription Factors

Identifiers

PMID29670124
PMCPMC5906470
OpenAlexW2802046145

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.