Evidence map›Paper›PMID 26098621›Full record

ArticleGenetic testing and molecular biomarkers2015

Association and interaction of PPARα, δ, and γ gene polymorphisms with low-density lipoprotein-cholesterol in a Chinese Han population.

Wei Fan, Chao Shen, Ming Wu, Zheng-Yuan Zhou, Zhi-Rong Guo

Open access · greenAbstract read
In one paragraph

Article in Genetic testing and molecular biomarkers, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
1.1field-weighted citation impact, top 23% 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

10 citing papers in PubMed, 20 citations in OpenAlex.

  1. Article
  2. Effects ofFrontiers in public health · 2022
    Article
  3. PPAROxidative medicine and cellular longevity · 2021
    Article
  4. Article
  5. Article
  6. Review
  7. Review
  8. Article
  9. Article
  10. 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

5 authors at 2 institutions in 1 country.

Wei Fan1 Department of Epidemiology, School of Public Health, Medical College of Soochow University , Suzhou, China .
Chao Shen1 Department of Epidemiology, School of Public Health, Medical College of Soochow University , Suzhou, China .
Ming Wu2 Center for Disease Control of Jiangsu Province , Nanjing, China .
Zheng-Yuan Zhou3 Center for Disease Control of Changshu , Suzhou, China .
Zhi-Rong Guo1 Department of Epidemiology, School of Public Health, Medical College of Soochow University , Suzhou, China .
Soochow University · CNJiangsu Provincial Center for Disease Control and Prevention · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimsElevated low-density lipoprotein-cholesterol (LDL-C) is regarded as one of major risks of cardiovascular diseases and atherosclerotic events. It has been previously reported that peroxisome proliferator-activated receptors (PPARs) play an important role in the regulation of lipid metabolism. In this study, we aimed to investigate the influence of PPARα/δ/γ gene polymorphisms on LDL-C level. Eight hundred twenty unrelated participants were recruited. Ten single-nucleotide polymorphisms (SNPs) were genotyped to analyze the gene-gene interactions among these polymorphisms using the generalized multifactor dimensionality reduction (GMDR) method.

resultsThe results of single-locus analyses indicated that the genotypes with minor allele variants at the rs1800206, rs9794, rs1805192, rs709158, and rs3856806 loci are associated with higher LDL-C levels (p<0.05) after adjusting for covariates. In contrast, individuals that were homozygous for the major allele (CC) of rs10865710 had significantly higher LDL-C than those with either one or more minor type alleles (CG+GG, mean difference: -0.21 mM; 95% confidence interval [CI]: -0.37 to -0.04 mM; p=0.013). Significant gene-gene interactions among PPAR gene polymorphisms on LDL-C were identified by a generalized multifactor dimensionality reduction (GMDR) approach in 2- to 8-locus models (p<0.05).

conclusionOur results provide evidence that multiple PPARα/δ/γ gene polymorphisms are individually associated with increased LDL-C, and that interactions, among these alleles result in additional increased risk suggesting that PPAR genes may contribute substantially to the risk of cardiovascular diseases and atherosclerosis.

Indexed as

Asian PeopleCardiovascular DiseasesChinaCholesterol, LDLFemaleGene FrequencyGenetic Association StudiesGenetic Predisposition to DiseaseHumansMaleMiddle AgedPeroxisome Proliferator-Activated ReceptorsPolymorphism, Single NucleotidePPAR alphaPPAR deltaPPAR gammaCholesterol, LDLPeroxisome Proliferator-Activated ReceptorsPPAR alphaPPAR deltaPPAR gamma

Identifiers

PMID26098621
PMCPMC4507121
OpenAlexW2107459349

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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.