Evidence map›Paper›PMID 29930805›Full record

ArticleBiomedical reports2018

Detection of HERV-K6 and HERV-K11 transpositions in the human genome.

Buket Cakmak Guner, Elif Karlik, Sevgi Marakli, Nermin Gozukirmizi

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Article in Biomedical reports, 2018. 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
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

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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, 11 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

4 authors at 1 institution in 1 country.

Buket Cakmak GunerDepartment of Molecular Biology and Genetics, Faculty of Science, Istanbul University, 34134 Istanbul, Turkey.
Elif KarlikDepartment of Biotechnology, Institution of Science, Istanbul University, 34134 Istanbul, Turkey.
Sevgi MarakliDepartment of Molecular Biology and Genetics, Faculty of Science, Istanbul University, 34134 Istanbul, Turkey.
Nermin GozukirmiziDepartment of Molecular Biology and Genetics, Faculty of Science, Istanbul University, 34134 Istanbul, Turkey.
Istanbul University · TR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Mobile genetic elements classed as transposons comprise an estimated 45% of the human genome, and 8% of these elements are human endogenous retroviruses (HERVs). Endogenous retroviruses are retrotransposons, containing 5' and 3' long terminal repeat sequences and encoding envelope, group-specific antigen and DNA polymerase proteins. The aim of the present study was to analyse genome integration polymorphisms of HERV type K member 6 (HERV-K6) and HERV-K11 by using the retrotransposon based molecular marker technique, inter-retrotransposon amplified polymorphism (IRAP). For this purpose, blood samples of 18 healthy individuals within the age range of 10-79 years (10 females and 8 males) were collected, genomic DNAs were isolated and IRAP-polymerase chain reaction (PCR) was performed. IRAP-PCR analyses demonstrated that there were 0-70% polymorphism rates for HERV-K6, and 0-38% polymorphism rates for HERV-K11 among all the samples. Furthermore, the polymorphism rates were 0-70% among females and 11-60% among males for HERV-K6, and 0-38% among females and 0-25% among males for HERV-K11. Age-associated polymorphism was also investigated, but no age-associated polymorphism was observed among the samples. Therefore, HERV-K6 and HERV-K11 polymorphisms may arise on an individual-specific basis. Various previous studies have investigated the associations between the expression of HERVs and cancer or other major diseases. However, few reports have analysed HERV-K movements among individuals. This is the first report to investigate HERV-K6 and HERV-K11 retrotransposon polymorphisms between the genders and different age groups.

Indexed as

human endogenous retrovirus type Khuman genomemobile genetic elementspolymorphism

Identifiers

PMID29930805
PMCPMC6007044
OpenAlexW2800562210

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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.