Evidence map›Paper›PMID 22529920›Full record

ArticlePloS one2012

Computational refinement of functional single nucleotide polymorphisms associated with ATM gene.

C George Priya Doss, B Rajith

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
2.5field-weighted citation impact, top 11% 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

18 citing papers in PubMed, 47 citations in OpenAlex.

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  2. Advances in laboratory medicine · 2023
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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

2 authors at 1 institution in 1 country.

C George Priya DossCentre for Nanobiotechnology, Medical Biotechnology Division, School of Biosciences and Technology, Vellore Institute of Technology University, Vellore, Tamil Nadu, India. georgepriyadoss@vit.ac.in
B Rajith
Vellore Institute of Technology University · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundUnderstanding and predicting molecular basis of disease is one of the major challenges in modern biology and medicine. SNPs associated with complex disorders can create, destroy, or modify protein coding sites. Single amino acid substitutions in the ATM gene are the most common forms of genetic variations that account for various forms of cancer. However, the extent to which SNPs interferes with the gene regulation and affects cancer susceptibility remains largely unknown. PRINCIPAL

findingsWe analyzed the deleterious nsSNPs associated with ATM gene based on different computational methods. An integrative scoring system and sequence conservation of amino acid residues was adapted for a priori nsSNP analysis of variants associated with cancer. We further extended our approach on SNPs that could potentially influence protein Post Translational Modifications in ATM gene. SIGNIFICANCE: In the lack of adequate prior reports on the possible deleterious effects of nsSNPs, we have systematically analyzed and characterized the functional variants in both coding and non coding region that can alter the expression and function of ATM gene. In silico characterization of nsSNPs affecting ATM gene function can aid in better understanding of genetic differences in disease susceptibility.

Indexed as

Polymorphism, Single NucleotideAmino Acid SequenceAtaxia Telangiectasia Mutated ProteinsCell Cycle ProteinsComputational BiologyConserved SequenceDatabases, GeneticDNA-Binding ProteinsGenetic Predisposition to DiseaseGenome-Wide Association StudyHumansMolecular Sequence DataOpen Reading FramesProtein Processing, Post-TranslationalProtein Serine-Threonine KinasesRegulatory Sequences, Nucleic AcidAtaxia Telangiectasia Mutated ProteinsATM protein, humanCell Cycle ProteinsDNA-Binding ProteinsProtein Serine-Threonine KinasesTumor Suppressor Proteins

Identifiers

PMID22529920
PMCPMC3326031
OpenAlexW2100064668

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.