Evidence map›Paper›PMID 18315851›Full record

ArticleBMC bioinformatics2008

SNP@Promoter: a database of human SNPs (single nucleotide polymorphisms) within the putative promoter regions.

Byoung-Chul Kim, Woo-Yeon Kim, Daeui Park, Won-Hyong Chung, Kwang-Sik Shin, Jong Bhak

Open access · goldAbstract read
In one paragraph

Article in BMC bioinformatics, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.

0numbers the graph read from it
0cells of the map it votes in
29citing papers in PubMed
3.0field-weighted citation impact, top 8% 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

29 citing papers in PubMed, 55 citations in OpenAlex.

  1. Predicting heterosisFrontiers in plant science · 2023
    Article
  2. Variation in the Promoter Region of theInternational journal of molecular sciences · 2019
    Article
  3. Article
  4. VEGF +936 C/T Genetic Polymorphism in Patients with Cervical Dysplasia.Analytical cellular pathology (Amsterdam) · 2016
    Article
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  20. Bioinformatic tools for identifying disease gene and SNP candidates.Methods in molecular biology (Clifton, N.J.) · 2010
    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

6 authors at 1 institution in 1 country.

Byoung-Chul KimKorean BioInformation Center (KOBIC), KRIBB, Daejeon 305-806, Korea. bckim@kribb.re.kr
Woo-Yeon Kim
Daeui Park
Won-Hyong Chung
Kwang-Sik Shin
Jong Bhak
Korea Research Institute of Bioscience and Biotechnology · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAnalysis of single nucleotide polymorphism (SNP) is becoming a key research in genomics fields. Many functional analyses of SNPs have been carried out for coding regions and splicing sites that can alter proteins and mRNA splicing. However, SNPs in non-coding regulatory regions can also influence important biological regulation. Presently, there are few databases for SNPs in non-coding regulatory regions. DESCRIPTION: We identified 488,452 human SNPs in the putative promoter regions that extended from the +5000 bp to -500 bp region of the transcription start sites. Some SNPs occurring in transcription factor (TF) binding sites were also predicted (47,832 SNP; 9.8%). The result is stored in a database: SNP@promoter. Users can search the SNP@Promoter database using three entries: 1) by SNP identifier (rs number from dbSNP), 2) by gene (gene name, gene symbol, refSeq ID), and 3) by disease term. The SNP@Promoter database provides extensive genetic information and graphical views of queried terms.

conclusionWe present the SNP@Promoter database. It was created in order to predict functional SNPs in putative promoter regions and predicted transcription factor binding sites. SNP@Promoter will help researchers to identify functional SNPs in non-coding regions.

Indexed as

Database Management SystemsDatabases, GeneticBase SequenceChromosome MappingDNA Mutational AnalysisGenome, HumanHumansInformation Storage and RetrievalMolecular Sequence DataPolymorphism, Single NucleotidePromoter Regions, GeneticRegulatory Elements, TranscriptionalRNA, UntranslatedSequence Analysis, DNARNA, Untranslated

Identifiers

PMID18315851
PMCPMC2259403
OpenAlexW2103175976

What OpenQuestion holds

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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.