Evidence map›Paper›PMID 26824843›Full record

ArticlePloS one2016

In-Silico Computing of the Most Deleterious nsSNPs in HBA1 Gene.

Sayed AbdulAzeez, J Francis Borgio

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
4.8field-weighted citation impact, top 5% 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

21 citing papers in PubMed, 62 citations in OpenAlex.

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  9. Biochemistry and biophysics reports · 2022
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  18. In silico approach to the analysis of SNPs in the human APAF1 gene.Turkish journal of biology = Turk biyoloji dergisi · 2019
    Article
  19. Article
  20. Archives of medical science : AMS · 2018
    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

2 authors at 1 institution in 1 country.

Sayed AbdulAzeezInstitute for Research and Medical Consultation (IRMC), University of Dammam, Dammam, Saudi Arabia.
J Francis BorgioInstitute for Research and Medical Consultation (IRMC), University of Dammam, Dammam, Saudi Arabia.
Imam Abdulrahman Bin Faisal University · SA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundα-Thalassemia (α-thal) is a genetic disorder caused by the substitution of single amino acid or large deletions in the HBA1 and/or HBA2 genes.

methodUsing modern bioinformatics tools as a systematic in-silico approach to predict the deleterious SNPs in the HBA1 gene and its significant pathogenic impact on the functions and structure of HBA1 protein was predicted. RESULTS AND DISCUSSION: A total of 389 SNPs in HBA1 were retrieved from dbSNP database, which includes: 201 non-coding synonymous (nsSNPs), 43 human active SNPs, 16 intronic SNPs, 11 mRNA 3' UTR SNPs, 9 coding synonymous SNPs, 9 5' UTR SNPs and other types. Structural homology-based method (PolyPhen) and sequence homology-based tool (SIFT), SNPs&Go, PROVEAN and PANTHER revealed that 2.4% of the nsSNPs are pathogenic.

conclusionsA total of 5 nsSNPs (G60V, K17M, K17T, L92F and W15R) were predicted to be responsible for the structural and functional modifications of HBA1 protein. It is evident from the deep comprehensive in-silico analysis that, two nsSNPs such as G60V and W15R in HBA1 are highly deleterious. These "2 pathogenic nsSNPs" can be considered for wet-lab confirmatory analysis.

Indexed as

MutationPolymorphism, Single Nucleotide3' Untranslated Regions5' Untranslated Regionsalpha-ThalassemiaAmino Acid SequenceAmino Acid SubstitutionComputational BiologyComputer SimulationDatabases, GeneticGlycated HemoglobinHumansIntronsModels, MolecularMolecular Sequence DataOpen Reading Frames3' Untranslated Regions5' Untranslated RegionsGlycated Hemoglobin

Identifiers

PMID26824843
PMCPMC4733110
OpenAlexW2263648159

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.