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Prevalence of Frequent α-Globin Gene Deletions in Neonates with HbH in Cord Blood.

2005· article· en· W2585980921 on OpenAlexaff
Céline Devaux, Xiaoduan Weng, Louise Robin, Harold J. Olney, Gilbert Cornut, Denis Soulières

Bibliographic record

VenueBlood · 2005
Typearticle
Languageen
FieldMedicine
TopicHemoglobinopathies and Related Disorders
Canadian institutionsCentre Hospitalier de l’Université de MontréalHôpital Notre-Dame
Fundersnot available
KeywordsGenotypeCord bloodThalassemiaBiologyFetal hemoglobinMedicineGeneticsGeneFetusPregnancy

Abstract

fetched live from OpenAlex

Abstract Introduction: Increasing multiethnicity is likely to make α-thalassemia minor more prevalent in Western metropolitan areas. It also increases the probability of finding newborns with Hemoglobin H disease or hydrops foetalis. Therefore, there is a need to implement screening methods to detect α-thalassemia at birth. Screening should also identify patients and families with specific requirements in genetic counselling. The goal of the present study is to evaluate the value of HbH measurement in cord blood to identify patients with α-globin deletions and patients with genotypes at risk that should be directed towards genetic counselling. Methods: A universal neonatal screening for hemoglobinopathies and thalassemia has been performed at our institution since 2002. Between October 2002 and July 2005, hemoglobin HPLC (High Performance Liquid Chromatography, Bio-Rad Variant II)) analysis performed on ombilical cord blood identified 123 newborns with hemoglobin H (HbH). Subsequently, DNA samples were analysed by m-PCR to detect the most common alpha-globin gene deletions:-α 3.7, -α 4.2, -α 20.5, -- SEA,-- FIL, -- THAI, -- MED. Groups were formed based on the genotype (1 deletion, 2 deletions, 2 deletions in cis, 2 deletions in trans) The mean level of HbH was calculated for each genotype and group. Student t-test was used to compare the level of HbH between the different groups. Due to the heterogeneity of the group populations, a Mann-Whitney test was also used to corroborate results obtained with t-test. Results: At least one α-globin gene deletion was observed in 90.2% of cases.(95%I.C: 83.5%-95.0%). Comparison between the groups based on the number of α-globin gene deletion and their allelic distribution allowed identification of significant differences in the HbH levels. Results were similar with Mann-Whitney (data not shown).Comparisons are presented in Table 1. HbH levels for the specific genotypes are presented in Figure 1. Conclusion: Hemoglobin HPLC analysis performed on umbilical cord blood allows rapid and efficient detection of HbH and highly predicts the presence of common α-globin gene deletions. Moreover a significant correlation is demonstrated between the levels of HbH and the presence of an α-thalassemic genotype. HbH level seems to correlate positively with the clinical severity of the genotype. However, a discriminate level of HbH could not be established to identify patients specifically requiring genotyping and genetic counselling. Further testing is necessary to evaluate the causes of HbH expression when there is no α-globin gene deletion. Genotype and HbH level Genotype and HbH level Mean HbH level (% of total hemoglobin) deletions/allelic distribution HbH level (means) HbH level (range) level of significance 1 deletion 2.10 1.4–5.9 2 deletions 6.96 4.0–12.6 p<0.001 1 deletion 2.10 1.4–5.9 2 deletions trans 6.50 4.0–9.2 p<0.001 1 deletion 2.10 1.4–5.9 2 deletions cis 10.6 7.3–12.6 p<0.01 2 deletions trans 6.50 4.0–9.2 2 deletions cis 10.6 7.3–12.6 p<0.001

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)0.000
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.003
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.007
GPT teacher head0.227
Teacher spread0.220 · 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 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".

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Citations0
Published2005
Admission routes1
Has abstractyes

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