MétaCan
Menu
← Back to cohort
Record W4394089422 · doi:10.6084/m9.figshare.19350232

Association of <i>MTHFR</i> 677C &gt; T gene polymorphism with neonatal defects: a meta-analysis of 81444 subjects

2022· dataset· en· W4394089422 on OpenAlexaff
Juan Li, Danqin Feng, Shiwei He, Hua Yang, Zhiying Su, Huiming Ye

Bibliographic record

VenueFigshare · 2022
Typedataset
Languageen
FieldMedicine
TopicFolate and B Vitamins Research
Canadian institutionsSimon Fraser University
Fundersnot available
KeywordsMethylenetetrahydrofolate reductaseMeta-analysisPolymorphism (computer science)GeneticsInternal medicineMedicineAssociation (psychology)GeneBioinformaticsBiologyGenotypePsychology

Abstract

fetched live from OpenAlex

This meta-analysis was performed to clarify controversial associations of the MTHFR 677 C > T gene polymorphism in maternal and foetal tissue with neonatal defects. It was reported the association of MTHFR 677 C > T gene polymorphism with frequencies of neonatal defects including congenital heart disease (CHD), neural tube defects (NTD), non-syndromic cleft lip and palate (NSCL/P), and Down syndrome (DS). Depending on the neonatal defect subtypes, MTHFR 677 C > T gene polymorphism was associated with NTD, CHD (except for codominant mode of inheritance (TC/CC) and dominant mode of inheritance (TT + TC/CC); p = .167 and p = .054, respectively), DS, and NSCL/P (codominant mode of inheritance (TC/CC), p = .032) in the maternal group. However, in the neonatal group, the MTHFR 677 C > T gene polymorphism was only associated with the frequency of NTD and CHD. Maternal and neonatal MTHFR 677 C > T gene polymorphisms appear to be associated with neonatal defects but differ by defect types.IMPACT STATEMENTWhat is already known on this subject? Neonatal defects are a signifcant problem and are related to genes involved in the metabolism of homocysteine and folate.What do the results of this study add? The MTHFR 677C > T polymorphism in maternal and neonatal subjects was significantly associated with neonatal defects. When the neonatal subjects were stratified based on disease, the maternal MTHFR 677C > T polymorphism was found to be significantly correlated with all four neonatal defects. In contrast, the polymorphism in newborns was significantly associated with neural tube defects.What are the implications of these findings for clinical practice and/or further research? We believe that our study makes a significant contribution to the literature because it collectively analysed neural tube defects, congenital heart disease, cleft lip and palate, and Down syndrome in relation to the 677C > T polymorphism of MTHFR. Thus, we anticipate that this study will serve as a valuable resource for future investigations of neonatal defect prevention and maternal inheritance in newborn diseases. What is already known on this subject? Neonatal defects are a signifcant problem and are related to genes involved in the metabolism of homocysteine and folate. What do the results of this study add? The MTHFR 677C > T polymorphism in maternal and neonatal subjects was significantly associated with neonatal defects. When the neonatal subjects were stratified based on disease, the maternal MTHFR 677C > T polymorphism was found to be significantly correlated with all four neonatal defects. In contrast, the polymorphism in newborns was significantly associated with neural tube defects. What are the implications of these findings for clinical practice and/or further research? We believe that our study makes a significant contribution to the literature because it collectively analysed neural tube defects, congenital heart disease, cleft lip and palate, and Down syndrome in relation to the 677C > T polymorphism of MTHFR. Thus, we anticipate that this study will serve as a valuable resource for future investigations of neonatal defect prevention and maternal inheritance in newborn diseases.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.004
metaresearch head score (Gemma)0.006
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Meta-analysis · Consensus signal: Meta-analysis
GenreCandidate signal: Dataset · Consensus signal: none
Teacher disagreement score0.010
Threshold uncertainty score0.019

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.006
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0070.020
Bibliometrics0.0020.005
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.060
GPT teacher head0.301
Teacher spread0.241 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designMeta-analysis
Domainnot available
GenreDataset

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2022
Admission routes1
Has abstractyes

Explore more

Same venueFigshare→Same topicFolate and B Vitamins Research→French-language works237,207→