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Record W4409145254 · doi:10.1002/jgc4.2017

Prenatal genetic counseling challenges with indeterminate <scp>SMA</scp> results

2025· article· en· W4409145254 on OpenAlexaboutno aff
Laura G. Hendon, Dana Goodloe, Fallon Brewer, Guihua Zhai, Alicia Gomes

Bibliographic record

VenueJournal of Genetic Counseling · 2025
Typearticle
Languageen
FieldMedicine
TopicNeurogenetic and Muscular Disorders Research
Canadian institutionsnot available
Fundersnot available
KeywordsSMN1Genetic counselingSMA*Spinal muscular atrophyIndeterminatePopulationGeneticsMedicineGenetic testingPrenatal diagnosisCarrier testingPsychologyBiologyGeneEnvironmental healthPregnancy

Abstract

fetched live from OpenAlex

Spinal muscular atrophy (SMA) is an autosomal recessive neuromuscular condition with complex genetic etiology. About 95% of individuals affected with this condition have a homozygous deletion of the SMN1 gene. One scenario that complicates risk is when a parent is identified as a possible silent carrier, meaning they have a [2 + 0] chromosome configuration. This configuration occurs when an individual has two copies of the SMN1 gene on one chromosome and no copies on the other chromosome. It is thought that 3.8-4.0% of the general population is a [2 + 0] carrier with a higher prevalence in African American and Hispanic populations. The [2 + 0] configuration makes it more difficult to calculate residual risk because testing cannot determine the difference between [2 + 0] carriers and [1 + 1] non-carriers, leading to indeterminate SMA carrier screening results. SMA was added to general population carrier screening in 2017, leading to an increase in the number of patients identified to have indeterminate results. Previous research has not examined how this addition has affected counseling practices involving indeterminate results. The purpose of this research was to gain a better understanding of the practices and challenges in this area, specifically within non-Ashkenazi Jewish (AJ) populations. This study utilized a quantitative survey with open-response questions. Responses from 49 prenatal genetic counselors from the United States and Canada were analyzed and it was found that genetic counselors face similar challenges when counseling indeterminate SMA results across all regions. These include negative patient emotions and both patient and referring provider misunderstanding, as highlighted in the qualitative data. Three major categories emerged including (1) challenges with patients, (2) challenges with referring providers, and (3) the effects of the 2017 addition to general population carrier screening. This study highlights the need for provider education surrounding indeterminate SMA results, the development of a visual aid, and future research from the patient and referring provider perspective.

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)0.003
metaresearch head score (Gemma)0.016
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.096
Threshold uncertainty score0.192

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.016
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0030.001
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 head0.016
GPT teacher head0.282
Teacher spread0.266 · 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 designNot applicable
Domainnot available
GenreOther

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

Citations1
Published2025
Admission routes1
Has abstractyes

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