Evidence map›Paper›PMID 26780859›Full record

ArticleJournal of epidemiology2016

Analysis of Genomic Regions Associated With Coronary Artery Disease Reveals Continent-Specific Single Nucleotide Polymorphisms in North African Populations.

Daniela Zanetti, Marc Via, Robert Carreras-Torres, Esther Esteban, Hassen Chaabani, Fatima Anaibar, Nourdin Harich, Rachida Habbal, Noreddine Ghalim, Pedro Moral

Open access · goldAbstract read
In one paragraph

Article in Journal of epidemiology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.2field-weighted citation impact, top 17% 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

4 citing papers in PubMed, 7 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 3 institutions in 3 countries.

Daniela ZanettiDepartment of Animal Biology-Anthropology, University of Barcelona.
Marc Via
Robert Carreras-Torres
Esther Esteban
Hassen Chaabani
Fatima Anaibar
Nourdin Harich
Rachida Habbal
Noreddine Ghalim
Pedro Moral
Universitat de Barcelona · ESInstitut Pasteur du Maroc · MAUniversity of Monastir · TN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIn recent years, several genomic regions have been robustly associated with coronary artery disease (CAD) in different genome-wide association studies (GWASs) conducted mainly in people of European descent. These kinds of data are lacking in African populations, even though heart diseases are a major cause of premature death and disability.

methodsHere, 384 single nucleotide polymorphisms (SNPs) in the top four CAD risk regions (1p13, 1q41, 9p21, and 10q11) were genotyped in 274 case-control samples from Morocco and Tunisia, with the aim of analyzing for the first time if the associations found in European populations were transferable to North Africans.

resultsThe results indicate that, as in Europe, these four genetic regions are also important for CAD risk in North Africa. However, the individual SNPs associated with CAD in Africa are different from those identified in Europe in most cases (1p13, 1q41, and 9p21). Moreover, the seven risk variants identified in North Africans are efficient in discriminating between cases and controls in North African populations, but not in European populations.

conclusionsThis study indicates a disparity in markers associated to CAD susceptibility between North Africans and Europeans that may be related to population differences in the chromosomal architecture of these risk regions.

Indexed as

AdultAfrica, NorthernAgedBlack PeopleCase-Control StudiesChromosomes, Human, Pair 1Chromosomes, Human, Pair 10Chromosomes, Human, Pair 9Coronary Artery DiseaseFemaleGenetic Predisposition to DiseaseGenomicsHumansMaleMiddle AgedPolymorphism, Single Nucleotide

Identifiers

PMID26780859
PMCPMC4848325
OpenAlexW2295594740

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LicenceCC BY
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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.