Evidence map›Paper›PMID 34508664›Full record

ArticleJornal de pediatria

Investigation of maternal polymorphisms in genes related to glucose homeostasis and the influence on birth weight: a cohort study.

Lyvia Neves Rebello Alves, Marcos Pereira, Jéssica Aflávio Dos Santos, Eldamária de Vargas Wolfgramm Dos Santos, Gisele Queiroz Carvalho, Jerusa da Mota Santana, Eric Arrivabene Tavares, Marcilio Delan Baliza Fernandes, Djanilson Barbosa Dos Santos, Iúri Drumond Louro

Open access · goldAbstract read
In one paragraph

Article in Jornal de pediatria. 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
1.3field-weighted citation impact, top 18% 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, 5 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.

Lyvia Neves Rebello AlvesUniversidade Federal do Espírito Santo, Departamento de Ciências Biológicas, Núcleo de Genética Humana e Molecular, Vitória, ES, Brazil; Universidade Federal do Espírito Santo, Programa de Pós-Graduação em Biotecnologia, Vitória, ES, Brazil. Electronic address: lyviarebello@gmail.com.
Marcos PereiraUniversidade Federal da Bahia, Instituto de Saúde Coletiva, Salvador, BA, Brazil.
Jéssica Aflávio Dos SantosUniversidade Federal do Espírito Santo, Departamento de Ciências Biológicas, Núcleo de Genética Humana e Molecular, Vitória, ES, Brazil.
Eldamária de Vargas Wolfgramm Dos SantosUniversidade Federal do Espírito Santo, Departamento de Ciências Biológicas, Núcleo de Genética Humana e Molecular, Vitória, ES, Brazil.
Gisele Queiroz CarvalhoUniversidade Federal de Juiz de Fora, Departamento de Nutrição, Governador Valadares, MG, Brazil.
Jerusa da Mota SantanaUniversidade Federal do Recôncavo da Bahia, Centro de Ciências da Saúde, Santo Antônio de Jesus, BA, Brazil.
Eric Arrivabene TavaresUniversidade Federal do Espírito Santo, Departamento de Ciências Biológicas, Núcleo de Genética Humana e Molecular, Vitória, ES, Brazil; Universidade Federal do Espírito Santo, Programa de Pós-Graduação em Biotecnologia, Vitória, ES, Brazil.
Marcilio Delan Baliza FernandesUniversidade Federal do Recôncavo da Bahia, Centro de Ciências da Saúde, Santo Antônio de Jesus, BA, Brazil.
Djanilson Barbosa Dos SantosUniversidade Federal do Recôncavo da Bahia, Centro de Ciências da Saúde, Santo Antônio de Jesus, BA, Brazil.
Iúri Drumond LouroUniversidade Federal do Espírito Santo, Departamento de Ciências Biológicas, Núcleo de Genética Humana e Molecular, Vitória, ES, Brazil; Universidade Federal do Espírito Santo, Programa de Pós-Graduação em Biotecnologia, Vitória, ES, Brazil.
Universidade Federal do Espírito Santo · BRUniversidade Federal do Recôncavo da Bahia · BRUniversidade Federal da Bahia · BRUniversidade Federal de Juiz de Fora · BR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesTo contribute to a better understanding of the maternal genetic mechanisms that influence obstetric outcomes and that are involved in maternal and child health, this study aimed to evaluate the association between maternal genetic variants and the offspring birth weight by analyzing single-nucleotide polymorphisms (SNPs) in genes related to glucose homeostasis.

methodsThree polymorphisms were analyzed (GCK rs1799884, TCF7L2 rs7903146 and LEPR rs1137101) in 250 pregnant women who participated in a Brazilian prospective cohort study. Genotyping was performed by Real-Time Polymerase Chain Reaction (qPCR) using pre-designed TaqMan® SNP genotyping assays. Vitamin D dosage was performed by chemiluminescence. Variance, Pearson's chi-square test and multiple linear regression were used for the statistical analysis.

resultsIt was possible to verify a significant association between birth weight and maternal GCK rs1799884 when obstetric outcomes, clinical and anthropometric characteristics were taken into consideration. The children of homozygous women for the minor allele GCK rs1799884 presented lower birth weight (β = -335.25, 95% CI = -669.39; -1.17, p = 0.04). Furthermore, a direct link between a leptin receptor variant and gestational duration was found (p = 0.037).

conclusionThe variant GCK rs1799884 (mm) was associated with a reduction in newborn weight in the miscegenated Brazilian population.

Indexed as

GlucosePolymorphism, Single NucleotideBirth WeightChildCohort StudiesFemaleHomeostasisHumansInfant, NewbornPregnancyProspective StudiesGlucoseBirth weightGlucose metabolismMaternal geneticsPregnancy outcome

Identifiers

PMID34508664
PMCPMC9432150
OpenAlexW3196449366

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.