Evidence map›Paper›PMID 30323186›Full record

ArticleNature protocols2018

Discovery of potential causative mutations in human coding and noncoding genome with the interactive software BasePlayer.

Riku Katainen, Iikki Donner, Tatiana Cajuso, Eevi Kaasinen, Kimmo Palin, Veli Mäkinen, Lauri A Aaltonen, Esa Pitkänen

Open access · greenAbstract read
PubMed Publisher
In one paragraph

Article in Nature protocols, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers.

0numbers the graph read from it
0cells of the map it votes in
30citing papers in PubMed
3.3field-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

30 citing papers in PubMed, 47 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. GermlineJCO precision oncology · 2025
    Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Genome-wide somatic mutation analysis of sinonasal adenocarcinoma with and without wood dust exposure.Genes and environment : the official journal of the Japanese Environmental Mutagen Society · 2024
    Article
  10. Presumed Pathogenic Germ Line and Somatic Variants in African American Thyroid Cancer.Thyroid : official journal of the American Thyroid Association · 2024
    Article
  11. Article
  12. NovelCancers · 2023
    Article
  13. Article
  14. Exploration of Tools for the Interpretation of Human Non-Coding Variants.International journal of molecular sciences · 2022
    Review
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. 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

8 authors at 1 institution in 1 country.

Riku KatainenGenome-Scale Biology Research Program, Research Programs Unit, University of Helsinki, Helsinki, Finland. riku.katainen@helsinki.fi.
Iikki DonnerGenome-Scale Biology Research Program, Research Programs Unit, University of Helsinki, Helsinki, Finland.
Tatiana CajusoGenome-Scale Biology Research Program, Research Programs Unit, University of Helsinki, Helsinki, Finland.
Eevi KaasinenGenome-Scale Biology Research Program, Research Programs Unit, University of Helsinki, Helsinki, Finland.
Kimmo PalinGenome-Scale Biology Research Program, Research Programs Unit, University of Helsinki, Helsinki, Finland.
Veli MäkinenDepartment of Computer Science and Helsinki Institute for Information Technology, University of Helsinki, Helsinki, Finland.
Lauri A AaltonenGenome-Scale Biology Research Program, Research Programs Unit, University of Helsinki, Helsinki, Finland.
Esa PitkänenGenome-Scale Biology Research Program, Research Programs Unit, University of Helsinki, Helsinki, Finland. esa.pitkanen@cs.helsinki.fi.
University of Helsinki · FI

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Next-generation sequencing (NGS) is routinely applied in life sciences and clinical practice, but interpretation of the massive quantities of genomic data produced has become a critical challenge. The genome-wide mutation analyses enabled by NGS have had a revolutionary impact in revealing the predisposing and driving DNA alterations behind a multitude of disorders. The workflow to identify causative mutations from NGS data, for example in cancer and rare diseases, commonly involves phases such as quality filtering, case-control comparison, genome annotation, and visual validation, which require multiple processing steps and usage of various tools and scripts. To this end, we have introduced an interactive and user-friendly multi-platform-compatible software, BasePlayer, which allows scientists, regardless of bioinformatics training, to carry out variant analysis in disease genetics settings. A genome-wide scan of regulatory regions for mutation clusters can be carried out with a desktop computer in ~10 min with a dataset of 3 million somatic variants in 200 whole-genome-sequenced (WGS) cancers.

Indexed as

Genome, HumanMutationSoftwareBase SequenceComputational BiologyDNA, IntergenicDNA Mutational AnalysisDNA, NeoplasmExomeGenetics, MedicalHigh-Throughput Nucleotide SequencingHumansNeoplasmsWhole Genome SequencingDNA, IntergenicDNA, Neoplasm

Identifiers

PMID30323186
OpenAlexW2896547267

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.