Evidence map›Paper›PMID 27193053›Full record

ArticleHuman genomics2016

Exploring the interaction among EPHX1, GSTP1, SERPINE2, and TGFB1 contributing to the quantitative traits of chronic obstructive pulmonary disease in Chinese Han population.

Li An, Yingxiang Lin, Ting Yang, Lin Hua

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

Article in Human genomics, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 pooled it
0.8field-weighted citation impact, top 24% 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

6 citing papers in PubMed, 1 synthesis or guideline pooled it, 8 citations in OpenAlex.

  1. Frontiers in genetics · 2023
    Pooled it
  2. Twenty years of changes in the definition of early chronic obstructive pulmonary disease.Chinese medical journal pulmonary and critical care medicine · 2023
    Review
  3. Whole-Exome Sequencing Implicates theFrontiers in cell and developmental biology · 2021
    Article
  4. The etiologic origins for chronic obstructive pulmonary disease.International journal of chronic obstructive pulmonary disease · 2019
    Review
  5. Article
  6. The Cumulative Effect of Gene-Gene Interactions BetweenInternational journal of chronic obstructive pulmonary disease
    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

4 authors at 3 institutions in 1 country.

Li AnBeijing Key Laboratory of Respiratory and Pulmonary Circulation Disorders, Beijing Institute of Respiratory Medicine, Department of Respiratory and Critical Care Medicine, Beijing Chao-Yang Hospital, Capital Medical University, Beijing, 100020, China.
Yingxiang LinBeijing Key Laboratory of Respiratory and Pulmonary Circulation Disorders, Beijing Institute of Respiratory Medicine, Department of Respiratory and Critical Care Medicine, Beijing Chao-Yang Hospital, Capital Medical University, Beijing, 100020, China.
Ting YangDepartment of Respiratory and Critical Care Medicine, China-Japan Friendship Hospital, Beijing, 100029, China.
Lin HuaSchool of Biomedical Engineering, Capital Medical University, Beijing, 100069, China. hualin7750@ccmu.edu.cn.
Capital Medical University · CNBeijing Chao-Yang Hospital · CNChina-Japan Friendship Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCurrently, the majority of genetic association studies on chronic obstructive pulmonary disease (COPD) risk focused on identifying the individual effects of single nucleotide polymorphisms (SNPs) as well as their interaction effects on the disease. However, conventional genetic studies often use binary disease status as the primary phenotype, but for COPD, many quantitative traits have the potential correlation with the disease status and closely reflect pathological changes.

methodHere, we genotyped 44 SNPs from four genes (EPHX1, GSTP1, SERPINE2, and TGFB1) in 310 patients and 203 controls which belonged to the Chinese Han population to test the two-way and three-way genetic interactions with COPD-related quantitative traits using recently developed generalized multifactor dimensionality reduction (GMDR) and quantitative multifactor dimensionality reduction (QMDR) algorithms.

resultsBased on the 310 patients and the whole samples of 513 subjects, the best gene-gene interactions models were detected for four lung-function-related quantitative traits. For the forced expiratory volume in 1 s (FEV1), the best interaction was seen from EPHX1, SERPINE2, and GSTP1. For FEV1%pre, the forced vital capacity (FVC), and FEV1/FVC, the best interactions were seen from SERPINE2 and TGFB1.

conclusionThe results of this study provide further evidence for the genotype combinations at risk of developing COPD in Chinese Han population and improve the understanding on the genetic etiology of COPD and COPD-related quantitative traits.

Indexed as

AdultAgedAsian PeopleCase-Control StudiesEpistasis, GeneticEpoxide HydrolasesForced Expiratory VolumeGene Regulatory NetworksGenetic Association StudiesGenetic Predisposition to DiseaseGlutathione S-Transferase piHumansMiddle AgedModels, GeneticPolymorphism, Single NucleotidePulmonary Disease, Chronic ObstructiveEPHX1 protein, humanEpoxide HydrolasesGlutathione S-Transferase piGSTP1 protein, humanSerpin E2SERPINE2 protein, humanTGFB1 protein, humanTransforming Growth Factor beta1COPDInteractionMDRQuantitative traitsSNP

Identifiers

PMID27193053
PMCPMC4870730
OpenAlexW2406555409

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.