Evidence map›Paper›PMID 30280282›Full record

ArticleFunctional & integrative genomics2019

Detection of lncRNA-mRNA interaction modules by integrating eQTL with weighted gene co-expression network analysis.

Xing-Bo Mo, Long-Fei Wu, Xin Lu, Xiao-Wei Zhu, Wei Xia, Lan Wang, Pei He, Peng-Fei Bing, Yong-Hong Zhang, Fei-Yan Deng and 1 more

Abstract read
PubMed Publisher
In one paragraph

Article in Functional & integrative genomics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
0.6field-weighted citation impact, top 39% 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

9 citing papers in PubMed, 14 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

11 authors at 1 institution in 1 country.

Xing-Bo MoCenter for Genetic Epidemiology and Genomics, School of Public Health, Medical College of Soochow University, Suzhou, Jiangsu, 215123, People's Republic of China.
Long-Fei WuCenter for Genetic Epidemiology and Genomics, School of Public Health, Medical College of Soochow University, Suzhou, Jiangsu, 215123, People's Republic of China.
Xin LuCenter for Genetic Epidemiology and Genomics, School of Public Health, Medical College of Soochow University, Suzhou, Jiangsu, 215123, People's Republic of China.
Xiao-Wei ZhuCenter for Genetic Epidemiology and Genomics, School of Public Health, Medical College of Soochow University, Suzhou, Jiangsu, 215123, People's Republic of China.
Wei XiaCenter for Genetic Epidemiology and Genomics, School of Public Health, Medical College of Soochow University, Suzhou, Jiangsu, 215123, People's Republic of China.
Lan WangCenter for Genetic Epidemiology and Genomics, School of Public Health, Medical College of Soochow University, Suzhou, Jiangsu, 215123, People's Republic of China.
Pei HeCenter for Genetic Epidemiology and Genomics, School of Public Health, Medical College of Soochow University, Suzhou, Jiangsu, 215123, People's Republic of China.
Peng-Fei BingCenter for Genetic Epidemiology and Genomics, School of Public Health, Medical College of Soochow University, Suzhou, Jiangsu, 215123, People's Republic of China.
Yong-Hong ZhangJiangsu Key Laboratory of Preventive and Translational Medicine for Geriatric Diseases, Soochow University, Suzhou, Jiangsu, 215123, People's Republic of China.
Fei-Yan DengCenter for Genetic Epidemiology and Genomics, School of Public Health, Medical College of Soochow University, Suzhou, Jiangsu, 215123, People's Republic of China.
Shu-Feng LeiCenter for Genetic Epidemiology and Genomics, School of Public Health, Medical College of Soochow University, Suzhou, Jiangsu, 215123, People's Republic of China. leisf@suda.edu.cn.
Soochow University · CN

Funding

National Natural Science Foundation of China 31401079
6 · The paper itself

Abstract

One major function of lncRNA is to regulate the expression of mRNA, but the patterns of their interactions were largely unknown. We attempted to construct lncRNA-mRNA interaction modules at a genome-wide scale. We performed a genome-wide lncRNA-mRNA eQTL analysis in peripheral blood mononuclear cells of 43 individuals, followed by weighted gene co-expression network analysis and functional enrichment analysis which sought to detect functional modules. There were 4627 significant cis lnc-eQTL pairs (P < 1.4 × 10

Indexed as

Gene Regulatory NetworksQuantitative Trait LociFemaleHumansRNA, Long NoncodingRNA, MessengerRNA, Long NoncodingRNA, MessengereQTLFunctional annotationHOTAIRLong noncoding RNAWeighted gene co-expression network analysis

Identifiers

PMID30280282
OpenAlexW2895661736

What OpenQuestion holds

Textmetadata
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.