Evidence map›Paper›PMID 36197256›Full record

ArticleMedicine2022

Effect of APOB gene polymorphisms on body mass index, blood pressure, and total cholesterol levels: A cross-sectional study in Mexican population.

Ana Gabriela Colima Fausto, Jaqueline Topete, Juan Ramón González García, Teresita de Jesús Hernández Flores, Sergio Yair Rodríguez Preciado, María Teresa Magaña Torres

Open access · goldAbstract read
In one paragraph

Article in Medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.3field-weighted citation impact, top 40% 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

3 citing papers in PubMed, 3 citations in OpenAlex.

  1. Population Admixture andJournal of cardiovascular development and disease · 2026
    Article
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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

6 authors at 3 institutions in 1 country.

Ana Gabriela Colima FaustoSchool of Medicine, Universidad Autónoma de Guadalajara, Guadalajara, Jalisco, México.
Jaqueline TopeteDivisión de Genética, Centro de Investigación Biomédica de Occidente, Instituto Mexicano del seguro social, Guadalajara, Jalisco, México.
Juan Ramón González GarcíaDivisión de Genética, Centro de Investigación Biomédica de Occidente, Instituto Mexicano del seguro social, Guadalajara, Jalisco, México.
Teresita de Jesús Hernández FloresDivisión de Genética, Centro de Investigación Biomédica de Occidente, Instituto Mexicano del seguro social, Guadalajara, Jalisco, México.
Sergio Yair Rodríguez PreciadoCentro Universitario de los Valles, Universidad de Guadalajara, Guadalajara, Jalisco, México.
María Teresa Magaña TorresDivisión de Genética, Centro de Investigación Biomédica de Occidente, Instituto Mexicano del seguro social, Guadalajara, Jalisco, México.ORCID 0000-0002-9843-0644
Mexican Social Security Institute · MXUniversidad Autónoma de Guadalajara · MXUniversidad de Guadalajara · MX

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

APOB gene polymorphisms are considered risk factors for the development of dyslipidemia, hypertension, and cardiovascular disease (CVD) in several populations. In Mexico, these pathologies are frequent and studies regarding this gene are scarce. The aim of this cross-sectional study was to determined genotype, allele, and haplotype frequencies of APOB polymorphisms and performed analyses of association among the biochemical, hemodynamic, anthropometrical, and genetic variables. Blood samples were taken from 361 subjects from unselected Mexican population for biochemical analysis and for deoxyribonucleic acid extraction; besides blood pressure and body mass index (BMI) were measured. APOB polymorphisms rs934197, rs533617, rs693, and rs1042031 were genotyped by polymerase chain reaction (PCR)-restriction fragment length polymorphism; whereas, rs17240441 and c.66_67insCTGCTG were genotyped by PCR followed by electrophoresis. Genotype and allele frequencies were obtained by simple counting and deviations from Hardy-Weinberg equilibrium (HWE) were calculated by chi-square test. The effect of the polymorphisms on the quantitative variables was determined using analysis of variance, Student's t test, Pearson's and Spearman's correlations and multiple linear regression models. All the polymorphisms were within HWE. Frequencies of mutated alleles were highly heterogeneous: rs934197-T 33.6%, rs17240441-D 39.3%, c.66_67insCTGCTG-I 3.9%, rs533617-G 0.9%, rs693-T 40.5%, and rs1042031-G 17.3%. Chronic degenerative diseases were frequent in the studied population: overweight-obesity 55.1%, dyslipidemia 45.8%, and hypertension 23.5%. The association analyses showed that despite adjustments for age and sex the mutated alleles rs934197-T, rs1042031G, c.66_67-insCTGCTG-I, and rs533617-G, were related to lower values of BMI, total cholesterol (TC), systolic blood pressure, and diastolic blood pressure, respectively. All polymorphisms analyzed except rs533517 and c.66_67insCTGCTG showed high frequencies of the mutated allele, making them useful for association studies. Our results revealed that, APOB gene polymorphisms could be contributing to the development of several chronic diseases, such as essential hypertension, dyslipidemias, obesity, among others. However, specific studies with each pathology are needed to know the possible implications of the polymorphisms.

Indexed as

DyslipidemiasHypertensionApolipoprotein B-100Apolipoproteins BBlood PressureBody Mass IndexCholesterolCross-Sectional StudiesDNAGene FrequencyGenotypeHumansMexicoObesityPolymorphism, Single NucleotideAPOB protein, humanApolipoprotein B-100Apolipoproteins BCholesterolDNA

Identifiers

PMID36197256
PMCPMC9509198
OpenAlexW4296848161

What OpenQuestion holds

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LicenceCC BY-NC
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.