Evidence map›Paper›PMID 28120895›Full record

ArticleScientific reports2017

Genomic structural variations for cardiovascular and metabolic comorbidity.

Maria S Nazarenko, Aleksei A Sleptcov, Igor N Lebedev, Nikolay A Skryabin, Anton V Markov, Maria V Golubenko, Iuliia A Koroleva, Anton N Kazancev, Olga L Barbarash, Valery P Puzyrev

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.2field-weighted citation impact, top 22% 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

6 citing papers in PubMed, 36 citations in OpenAlex.

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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

10 authors at 4 institutions in 1 country.

Maria S NazarenkoLaboratory of Population Genetics, Research Institute of Medical Genetics, Tomsk National Research Medical Center, Russian Academy of Sciences, Tomsk, Russia.
Aleksei A SleptcovLaboratory of Population Genetics, Research Institute of Medical Genetics, Tomsk National Research Medical Center, Russian Academy of Sciences, Tomsk, Russia.
Igor N LebedevLaboratory of Human Ontogenetics, Tomsk State University, Tomsk, Russia.
Nikolay A SkryabinLaboratory of Human Ontogenetics, Tomsk State University, Tomsk, Russia.
Anton V MarkovLaboratory of Population Genetics, Research Institute of Medical Genetics, Tomsk National Research Medical Center, Russian Academy of Sciences, Tomsk, Russia.
Maria V GolubenkoLaboratory of Population Genetics, Research Institute of Medical Genetics, Tomsk National Research Medical Center, Russian Academy of Sciences, Tomsk, Russia.
Iuliia A KorolevaLaboratory of Population Genetics, Research Institute of Medical Genetics, Tomsk National Research Medical Center, Russian Academy of Sciences, Tomsk, Russia.
Anton N KazancevDepartment of Multifocal Atherosclerosis, Research Institute for Complex Issues of Cardiovascular Diseases, Kemerovo, Russia.
Olga L BarbarashDepartment of Multifocal Atherosclerosis, Research Institute for Complex Issues of Cardiovascular Diseases, Kemerovo, Russia.
Valery P PuzyrevLaboratory of Population Genetics, Research Institute of Medical Genetics, Tomsk National Research Medical Center, Russian Academy of Sciences, Tomsk, Russia.
Russian Academy of Sciences · RUKemerovo State University · RUNational Research Tomsk State University · RUTomsk National Research Medical Center · RU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The objective of this study was to identify genes targeted by both copy number and copy-neutral changes in the right coronary arteries in the area of advanced atherosclerotic plaques and intact internal mammary arteries derived from the same individuals with comorbid coronary artery disease and metabolic syndrome. The artery samples from 10 patients were screened for genomic imbalances using array comparative genomic hybridization. Ninety high-confidence, identical copy number variations (CNVs) were detected. We also identified eight copy-neutral changes (cn-LOHs) > 1.5 Mb in paired arterial samples in 4 of 10 individuals. The frequencies of the two gains located in the 10q24.31 (ERLIN1) and 12q24.11 (UNG, ACACB) genomic regions were evaluated in 33 paired arteries and blood samples. Two patients contained the gain in 10q24.31 (ERLIN1) and one patient contained the gain in 12q24.11 (UNG, ACACB) that affected only the blood DNA. An additional two patients harboured these CNVs in both the arteries and blood. In conclusion, we discovered and confirmed a gain of the 10q24.31 (ERLIN1) and 12q24.11 (UNG, ACACB) genomic regions in patients with coronary artery disease and metabolic comorbidity. Analysis of DNA extracted from blood indicated a possible somatic origin for these CNVs.

Indexed as

GenomicsCardiovascular DiseasesComorbidityComparative Genomic HybridizationCoronary Artery DiseaseDNA Copy Number VariationsHumansMaleMetabolic SyndromeMiddle AgedReal-Time Polymerase Chain Reaction

Identifiers

PMID28120895
PMCPMC5264603
OpenAlexW2580637034

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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.