Evidence map›Paper›PMID 28105927›Full record

ArticleBMC genomics2016

Candidate SNP markers of aggressiveness-related complications and comorbidities of genetic diseases are predicted by a significant change in the affinity of TATA-binding protein for human gene promoters.

Irina V Chadaeva, Mikhail P Ponomarenko, Dmitry A Rasskazov, Ekaterina B Sharypova, Elena V Kashina, Marina Yu Matveeva, Tatjana V Arshinova, Petr M Ponomarenko, Olga V Arkova, Natalia P Bondar and 2 more

Open access · goldAbstract read
In one paragraph

Article in BMC genomics, 2016. 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
2.4field-weighted citation impact, top 10% 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

11 citing papers in PubMed, 24 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. 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

12 authors at 3 institutions in 2 countries.

Irina V ChadaevaInstitute of Cytology and Genetics, Siberian Branch of Russian Academy of Sciences, 10 Lavrentyev Avenue, Novosibirsk, 630090, Russia.
Mikhail P PonomarenkoInstitute of Cytology and Genetics, Siberian Branch of Russian Academy of Sciences, 10 Lavrentyev Avenue, Novosibirsk, 630090, Russia. pon@bionet.nsc.ru.
Dmitry A RasskazovInstitute of Cytology and Genetics, Siberian Branch of Russian Academy of Sciences, 10 Lavrentyev Avenue, Novosibirsk, 630090, Russia.
Ekaterina B SharypovaInstitute of Cytology and Genetics, Siberian Branch of Russian Academy of Sciences, 10 Lavrentyev Avenue, Novosibirsk, 630090, Russia.
Elena V KashinaInstitute of Cytology and Genetics, Siberian Branch of Russian Academy of Sciences, 10 Lavrentyev Avenue, Novosibirsk, 630090, Russia.
Marina Yu MatveevaInstitute of Cytology and Genetics, Siberian Branch of Russian Academy of Sciences, 10 Lavrentyev Avenue, Novosibirsk, 630090, Russia.
Tatjana V ArshinovaInstitute of Cytology and Genetics, Siberian Branch of Russian Academy of Sciences, 10 Lavrentyev Avenue, Novosibirsk, 630090, Russia.
Petr M PonomarenkoChildren's Hospital Los Angeles, 4640 Hollywood Boulevard, University of Southern California, Los Angeles, CA, 90027, USA.
Olga V ArkovaInstitute of Cytology and Genetics, Siberian Branch of Russian Academy of Sciences, 10 Lavrentyev Avenue, Novosibirsk, 630090, Russia.
Natalia P BondarInstitute of Cytology and Genetics, Siberian Branch of Russian Academy of Sciences, 10 Lavrentyev Avenue, Novosibirsk, 630090, Russia.
Ludmila K SavinkovaInstitute of Cytology and Genetics, Siberian Branch of Russian Academy of Sciences, 10 Lavrentyev Avenue, Novosibirsk, 630090, Russia.
Nikolay A KolchanovInstitute of Cytology and Genetics, Siberian Branch of Russian Academy of Sciences, 10 Lavrentyev Avenue, Novosibirsk, 630090, Russia.
Institute of Cytology and Genetics · RUState Research Center of Virology and Biotechnology VECTOR · RUUniversity of Southern California · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAggressiveness in humans is a hereditary behavioral trait that mobilizes all systems of the body-first of all, the nervous and endocrine systems, and then the respiratory, vascular, muscular, and others-e.g., for the defense of oneself, children, family, shelter, territory, and other possessions as well as personal interests. The level of aggressiveness of a person determines many other characteristics of quality of life and lifespan, acting as a stress factor. Aggressive behavior depends on many parameters such as age, gender, diseases and treatment, diet, and environmental conditions. Among them, genetic factors are believed to be the main parameters that are well-studied at the factual level, but in actuality, genome-wide studies of aggressive behavior appeared relatively recently. One of the biggest projects of the modern science-1000 Genomes-involves identification of single nucleotide polymorphisms (SNPs), i.e., differences of individual genomes from the reference genome. SNPs can be associated with hereditary diseases, their complications, comorbidities, and responses to stress or a drug. Clinical comparisons between cohorts of patients and healthy volunteers (as a control) allow for identifying SNPs whose allele frequencies significantly separate them from one another as markers of the above conditions. Computer-based preliminary analysis of millions of SNPs detected by the 1000 Genomes project can accelerate clinical search for SNP markers due to preliminary whole-genome search for the most meaningful candidate SNP markers and discarding of neutral and poorly substantiated SNPs.

resultsHere, we combine two computer-based search methods for SNPs (that alter gene expression) {i} Web service SNP_TATA_Comparator (DNA sequence analysis) and {ii} PubMed-based manual search for articles on aggressiveness using heuristic keywords. Near the known binding sites for TATA-binding protein (TBP) in human gene promoters, we found aggressiveness-related candidate SNP markers, including rs1143627 (associated with higher aggressiveness in patients undergoing cytokine immunotherapy), rs544850971 (higher aggressiveness in old women taking lipid-lowering medication), and rs10895068 (childhood aggressiveness-related obesity in adolescence with cardiovascular complications in adulthood).

conclusionsAfter validation of these candidate markers by clinical protocols, these SNPs may become useful for physicians (may help to improve treatment of patients) and for the general population (a lifestyle choice preventing aggressiveness-related complications).

Indexed as

Polymorphism, Single NucleotidePromoter Regions, GeneticAllelesDisease ProgressionFemaleGenetic Association StudiesGenetic Diseases, InbornGenetic MarkersGenetic Predisposition to DiseaseHumansMaleObesityPhenotypePrognosisProtein BindingTATA-Box Binding ProteinGenetic MarkersTATA-Box Binding ProteinAggressivenessCandidate SNP markerGeneKeyword-based searchPrediction in silicoPromoterSingle nucleotide polymorphismTATA-binding protein

Identifiers

PMID28105927
PMCPMC5249025
OpenAlexW2566462500

What OpenQuestion holds

Textmetadata
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.