Evidence map›Paper›PMID 26106440›Full record

ReviewComputational and mathematical methods in medicine2015

Statistical and Computational Methods for Genetic Diseases: An Overview.

Francesco Camastra, Maria Donata Di Taranto, Antonino Staiano

Abstract readReview
In one paragraph

Review in Computational and mathematical methods in medicine, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
–field-weighted citation impact
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

11 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Article
  5. A Novel CCT5 Missense Variant Associated with Early Onset Motor Neuropathy.International journal of molecular sciences · 2020
    Article
  6. Article
  7. Review
  8. Article
  9. Article
  10. Use of a Novel Nonparametric Version of DEPTH to Identify Genomic Regions Associated with Prostate Cancer Risk.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2016
    Article
  11. 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

3 authors.

Francesco CamastraDepartment of Science and Technology, University of Naples Parthenope, Centro Direzionale Isola C4, 80143 Napoli, Italy.ORCID 0000-0003-4439-7583
Maria Donata Di TarantoIRCCS SDN, Via E. Gianturco 113, 80143 Napoli, Italy.
Antonino StaianoDepartment of Science and Technology, University of Naples Parthenope, Centro Direzionale Isola C4, 80143 Napoli, Italy.ORCID 0000-0002-4708-5860

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The identification of causes of genetic diseases has been carried out by several approaches with increasing complexity. Innovation of genetic methodologies leads to the production of large amounts of data that needs the support of statistical and computational methods to be correctly processed. The aim of the paper is to provide an overview of statistical and computational methods paying attention to methods for the sequence analysis and complex diseases.

Indexed as

Statistics as TopicAlgorithmsBayes TheoremComputational BiologyDNAFrameshift MutationGene DeletionGenetic Diseases, InbornHumansMarkov ChainsModels, StatisticalMutationPolymorphism, Single NucleotideQuantitative Trait LociResearch DesignRNA SplicingDNA

Identifiers

PMID26106440
PMCPMC4464008

What OpenQuestion holds

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LicenceCC BY
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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.