Evidence map›Paper›PMID 25027169›Full record

ArticleBMC medical genomics2014

Measurement of absolute copy number variation reveals association with essential hypertension.

Francine Z Marques, Priscilla R Prestes, Leonardo B Pinheiro, Katrina Scurrah, Kerry R Emslie, Maciej Tomaszewski, Stephen B Harrap, Fadi J Charchar

Open access · goldAbstract read
In one paragraph

Article in BMC medical genomics, 2014. 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
2.6field-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

11 citing papers in PubMed, 28 citations in OpenAlex.

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  3. INDEX-db: The Indian Exome Reference Database (Phase I).Journal of computational biology : a journal of computational molecular cell biology · 2019
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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

8 authors at 4 institutions in 2 countries.

Francine Z Marques
Priscilla R Prestes
Leonardo B Pinheiro
Katrina Scurrah
Kerry R Emslie
Maciej Tomaszewski
Stephen B Harrap
Fadi J CharcharFaculty of Science, Federation University Australia, Y Building, University Drive, Mt Helen, 3350, Ballarat, VIC, Australia. f.charchar@federation.edu.au.
Federation University · AUNational Measurement Institute · AUUniversity of Melbourne · AUUniversity of Leicester · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe role of copy number variation (CNV) has been poorly explored in essential hypertension in part due to technical difficulties in accurately assessing absolute numbers of DNA copies. Droplet digital PCR (ddPCR) provides a powerful new approach to CNV quantitation. The aim of our study was to investigate whether CNVs located in regions previously associated with blood pressure (BP) variation in genome-wide association studies (GWAS) were associated with essential hypertension by the use of ddPCR.

methodsUsing a "power of extreme" approach, we quantified nucleic acids using ddPCR in white subjects from the Victorian Family Heart Study with extremely high (n = 96) and low (n = 92) SBP, providing power equivalent to 1714 subjects selected at random.

resultsA deletion of the CNVs esv27061 and esv2757747 on chromosome 1p13.2 was significantly more prevalent in extreme high BP subjects after adjustment for age, body mass index and sex (12.6% vs. 2.2%; P = 0.013).

conclusionsOur data suggests that CNVs within regions identified in previous GWAS may play a role in human essential hypertension.

Indexed as

DNA Copy Number VariationsGenome-Wide Association StudyAdultBlood PressureEssential HypertensionFemaleGenotypeHumansHypertensionMaleMiddle AgedPolymerase Chain Reaction

Identifiers

PMID25027169
PMCPMC4107748
OpenAlexW1973649519

What OpenQuestion holds

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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.