Evidence map›Paper›PMID 23645037›Full record

ArticleMolecular biology reports2013

Betaine-homocysteine methyltransferase 742G>A polymorphism and risk of down syndrome offspring in a Brazilian population.

Márcia R Amorim, Cláudia M Moura, Aline D Gomes, Hazel N Barboza, Roberta B Lopes, Márcia G Ribeiro, Marcelo A Costa Lima

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Article in Molecular biology reports, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.3field-weighted citation impact, top 21% 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

7 citing papers in PubMed, 12 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

7 authors at 3 institutions in 1 country.

Márcia R AmorimDepartamento de Biologia Geral, Instituto de Biologia, Universidade Federal Fluminense, Niterói, Rio de Janeiro, Brazil.
Cláudia M Moura
Aline D Gomes
Hazel N Barboza
Roberta B Lopes
Márcia G Ribeiro
Marcelo A Costa Lima
Universidade do Estado do Rio de Janeiro · BRUniversidade Federal Fluminense · BRUniversidade Federal do Rio de Janeiro · BR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Down syndrome (DS) is the most common form of mental retardation of genetic etiology. Several polymorphisms in genes involved with the folic acid cycle have been associated to the risk of bearing a DS child; however, the results are controversial. Betaine-homocysteine methyltransferase (BHMT) is a key enzyme of folate pathway, and catalyzes the remethylation of homocysteine into methionine. Recent studies suggest that the polymorphism BHMT 742G>A may be associated with a decreased risk of having a DS child. We herein investigate the association of this polymorphism with the occurrence of DS in a Brazilian population. We have genotyped 94 mothers of DS infants (DSM) and 134 control mothers (CM) for this polymorphism through PCR-RFLP, and found significant differences for both BHMT 742G>A genotype (P=0.04) and allele (P=0.03) frequencies between DSM and CM. The observed genotypic frequencies were GG=0.45; GA=0.45 and AA=0.10 in CM, and GG=0.54; GA=0.38 and AA=0.02 in DSM. Allelic frequencies were G=0.68 and A=0.32 in CM and G=0.78 and A=0.22 in DSM. The presence of the mutant BHMT 742 A allele decreases 40% the risk of bearing a DS child (OR=0.61; 95% CI: 0.40-0.93; P=0.03), and the risk is diminished up to >80% in association with the homozygous genotype (OR=0.17; 95% CI: 0.04-0.80; P=0.01). Our results indicate that women harboring the single nucleotide polymorphism BHMT 742G>A have a decreased risk of a DS pregnancy, and further studies are necessary to confirm this protective effect.

Indexed as

Betaine-Homocysteine S-MethyltransferaseBrazilChromosome SegregationDown SyndromeFemaleGene FrequencyGenetic Predisposition to DiseaseGenotypeHumansMothersOdds RatioPolymerase Chain ReactionPolymorphism, Restriction Fragment LengthPolymorphism, Single NucleotideBetaine-Homocysteine S-Methyltransferase

Identifiers

PMID23645037
OpenAlexW2056159991

What OpenQuestion holds

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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.