Evidence map›Paper›PMID 30598077›Full record

ArticleBMC bioinformatics2018

Constructing a database for the relations between CNV and human genetic diseases via systematic text mining.

Xi Yang, Zhuo Song, Chengkun Wu, Wei Wang, Gen Li, Wei Zhang, Lingqian Wu, Kai Lu

Open access · goldAbstract read
In one paragraph

Article in BMC bioinformatics, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.2field-weighted citation impact, top 20% 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

8 citing papers in PubMed, 25 citations in OpenAlex.

  1. Article
  2. Review
  3. Copy Number Variation of theAnimals : an open access journal from MDPI · 2022
    Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. 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

8 authors at 2 institutions in 1 country.

Xi YangSchool of Computer Science, National University of Defense Technology, Changsha, 410073, China.
Zhuo SongGenetalks Biotech Inc., Beijing, 100176, China.
Chengkun WuSchool of Computer Science, National University of Defense Technology, Changsha, 410073, China. chengkun_wu@nudt.edu.cn.
Wei WangSchool of Computer Science, National University of Defense Technology, Changsha, 410073, China.
Gen LiGenetalks Biotech Inc., Beijing, 100176, China.
Wei ZhangGenetalks Biotech Inc., Beijing, 100176, China.
Lingqian WuCenter for Medical Genetics, Central South University, 110 Xiangya Road, Changsha, 410078, Hunan, China. wulingqian@sklmg.edu.cn.
Kai LuSchool of Computer Science, National University of Defense Technology, Changsha, 410073, China. kailu@nudt.edu.cn.
National University of Defense Technology · CNCentral South University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe detection and interpretation of CNVs are of clinical importance in genetic testing. Several databases and web services are already being used by clinical geneticists to interpret the medical relevance of identified CNVs in patients. However, geneticists or physicians would like to obtain the original literature context for more detailed information, especially for rare CNVs that were not included in databases.

resultsThe resulting CNVdigest database includes 440,485 sentences for CNV-disease relationship. A total number of 1582 CNVs and 2425 diseases are involved. Sentences describing CNV-disease correlations are indexed in CNVdigest, with CNV mentions and disease mentions annotated.

conclusionsIn this paper, we use a systematic text mining method to construct a database for the relationship between CNVs and diseases. Based on that, we also developed a concise front-end to facilitate the analysis of CNV/disease association, providing a user-friendly web interface for convenient queries. The resulting system is publically available at http://cnv.gtxlab.com /.

Indexed as

Databases, FactualDNA Copy Number VariationsHuman GeneticsComputational BiologyData MiningDiseaseGenetic TestingHumansCopy number variant (CNV)DiseaseNamed entities recognitionParallel computingRelation extraction

Identifiers

PMID30598077
PMCPMC6311945
OpenAlexW2907268910

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.