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Record W4407184445 · doi:10.1111/cge.14718

Two Novel Protein‐Truncating Variants in <i>NLRP2</i> and Their Functional Impacts on the Subcortical Maternal Complex

2025· article· en· W4407184445 on OpenAlexafffund
Zeynep Yalcin, Zheng Gao, Ibrahim M. Abdelrazek, Eric Bareke, Jacek Majewski, Ebtesam Abdalla, Seang Lin Tan, Lei M. Li, Rima Slim

Bibliographic record

VenueClinical Genetics · 2025
Typearticle
Languageen
FieldMedicine
TopicPrenatal Screening and Diagnostics
Canadian institutionsMcGill UniversityOttawa Fertility CentreMcGill University Health Centre
FundersCanadian Institutes of Health ResearchMitacsNatural Science Foundation of Guangdong ProvinceNational Natural Science Foundation of China
KeywordsIntracytoplasmic sperm injectionBiologyInfertilityGeneGeneticsGenetic counselingOffspringPregnancy

Abstract

fetched live from OpenAlex

Female infertility is a prevalent reproductive disorder with high genetic heterogeneity. Previous reports have demonstrated the causal role of biallelic pathogenic variants in the Subcortical Maternal Complex (SCMC) genes in female reproductive failure with some leading to infertility, early embryonic loss, and molar pregnancies, while others are compatible with live birth with and without multilocus imprinting disorders (MLID). Here, we report two deleterious protein-truncating variants, c.1326delG, p.Leu443Phefs*78 and c.2802_2803del, p.Arg935Metfs*15, in heterozygous state in the NLRP2 gene of a patient with primary infertility, four early miscarriages, and one failed attempt of intracytoplasmic sperm injection. We show that the two variants mediate mRNA decay in EBV-transformed lymphoblastoid cells from the patient, lead to decreased NLRP2 protein levels, and alter NLRP2 interactions with other members of the SCMC in vitro. This study emphasizes the importance of performing clinical exomes for patients with recurrent reproductive failure and reporting their variants and reproductive histories to improve patient counseling.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.031
Threshold uncertainty score0.351

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.112
GPT teacher head0.374
Teacher spread0.262 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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

Citations4
Published2025
Admission routes2
Has abstractyes

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