Evidence map›Paper›PMID 23527081›Full record

ArticlePloS one2013

A large scale gene-centric association study of lung function in newly-hired female cotton textile workers with endotoxin exposure.

Ruyang Zhang, Yang Zhao, Minjie Chu, Amar Mehta, Yongyue Wei, Yao Liu, Pengcheng Xun, Jianling Bai, Hao Yu, Li Su and 5 more

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 pooled it
0.2field-weighted citation impact, top 35% 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, 1 synthesis or guideline pooled it, 4 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Review
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

15 authors at 5 institutions in 3 countries.

Ruyang ZhangDepartment of Epidemiology and Biostatistics and Ministry of Education (MOE) Key Lab for Modern Toxicology, School of Public Health, Nanjing Medical University, Nanjing, China.
Yang Zhao
Minjie Chu
Amar Mehta
Yongyue Wei
Yao Liu
Pengcheng Xun
Jianling Bai
Hao Yu
Li Su
Hongxi Zhang
Zhibin Hu
Hongbing Shen
Feng Chen
David C Christiani
Nanjing Medical University · CNCentral Hospital of Putuo District · CNHarvard University · USIndiana University Bloomington · USUniversity of Basel · CH

Funding

Translational Research Support CoreP30ES000002 · NIEHS · HARVARD UNIVERSITY (SCH OF PUBLIC HLTH) · PI JAIME ELIZABETH HART · 1985 to 2026
$44.6M
LUNG DISEASE IN CHINESE TEXTILE WORKERSR01OH002421 · OH · HARVARD UNIVERSITY (SCH OF PUBLIC HLTH) · PI CHRISTIANI, DAVID C · 1988 to 2020
$5.5M
NIEHS NIH HHS ES00002NIEHS NIH HHS P30 ES000002NIOSH CDC HHS R01 OH002421
6 · The paper itself

Abstract

backgroundOccupational exposure to endotoxin is associated with decrements in pulmonary function, but how much variation in this association is explained by genetic variants is not well understood.

objectiveWe aimed to identify single nucleotide polymorphisms (SNPs) that are associated with the rate of forced expiratory volume in one second (FEV1) decline by a large scale genetic association study in newly-hired healthy young female cotton textile workers.

methodsDNA samples were genotyped using the Illumina Human CVD BeadChip. Change rate in FEV1 was modeled as a function of each SNP genotype in linear regression model with covariate adjustment. We controlled the type 1 error in study-wide level by permutation method. The false discovery rate (FDR) and the family-wise error rate (FWER) were set to be 0.10 and 0.15 respectively.

resultsTwo SNPs were found to be significant (P<6.29×10(-5)), including rs1910047 (P = 3.07×10(-5), FDR = 0.0778) and rs9469089 (P = 6.19×10(-5), FDR = 0.0967), as well as other eight suggestive (P<5×10(-4)) associated SNPs. Gene-gene and gene-environment interactions were also observed, such as rs1910047 and rs1049970 (P = 0.0418, FDR = 0.0895); rs9469089 and age (P = 0.0161, FDR = 0.0264). Genetic risk score analysis showed that the more risk loci the subjects carried, the larger the rate of FEV1 decline occurred (P trend = 3.01×10(-18)). However, the association was different among age subgroups (P = 7.11×10(-6)) and endotoxin subgroups (P = 1.08×10(-2)). Functional network analysis illustrates potential biological connections of all interacted genes.

conclusionsGenetic variants together with environmental factors interact to affect the rate of FEV1 decline in cotton textile workers.

Indexed as

EndotoxinsGene-Environment InteractionOccupational ExposureRespiratory Function TestsTextilesAdolescentAdultByssinosisEpistasis, GeneticFemaleForced Expiratory VolumeGene Regulatory NetworksGenetic Predisposition to DiseaseHumansMiddle AgedOccupational DiseasesEndotoxins

Identifiers

PMID23527081
PMCPMC3602449
OpenAlexW2145747369

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.