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Prevalence of Alpha-Globin Gene Deletions amongst Patients with Unexplained Microcytosis in a North-American Population.

2004· article· en· W2552743555 on OpenAlexaff
Julie Bergeron, Xiaoduan Weng, Louise Robin, Harold J. Olney, Denis Soulières

Bibliographic record

VenueBlood · 2004
Typearticle
Languageen
FieldMedicine
TopicHemoglobinopathies and Related Disorders
Canadian institutionsCentre Hospitalier de l’Université de Montréal
Fundersnot available
KeywordsMicrocytosisGenotypeThalassemiaMultiplex ligation-dependent probe amplificationAlpha-thalassemiaGenotypingBiologyMicrocytic anemiaPopulationGeneticsMedicineGeneInternal medicineHemoglobinAnemiaIron deficiency

Abstract

fetched live from OpenAlex

Abstract Introduction: Increasing multi-ethnicity is likely to make α-thalassemia more prevalent in western metropolitan areas. The current prevalence of α-thalassemia in regions outside the traditional thalassemia areas with the associated risk for HbH disease and hydrops foetalis is unknown. Genetic counseling for reproductive risks due to α-globin gene mutations requires adequate and precise genotyping. Objectives: To determine by multiplex polymerase chain reaction (m-PCR) the prevalence and genotypes of α-thalassemia among non selected, consecutive cases of unexplained microcytosis identified in a clinical hematology laboratory. To evaluate if differences or variations in erythrocytic indices are indicative of α-thalassemia. Methods: During a period of 3 months, α-globin genotype was determined by m-PCR on all non repetitive microcytic (MCV <80fL) blood samples from adults with normal ferritin and normal hemoglobin HPLC analysis (Variant I, Bio-Rad). A previously described m-PCR analysis allowed the detection of α-globin gene deletions and specifically identified each of the following 7 deletions when present: −α3.7, −α4.2, −−SEA, −−FIL, −−MED, −−THAI and −α(20.5). Results: 516 microcytic blood samples were evaluated of which 197 had normal ferritin and Hb HPLC analysis and were submitted for m-PCR. Among 196 interpretable m-PCRs, 148 did not have α-globin gene deletion(s) (group 1) and 48 α-thalassemia cases (24,5%) were identified: 28 cases of single α-globin gene deletion (group 2) and 20 cases of 2 α-globin gene deletions (group 3). In group 3, 6 cases showed deletions in cis. Results on differences between the groups are presented in Table 1. Even though some differences were statistically different, none was clinically useful and diagnostic. Conclusion: A significant proportion (24,5%) of cases with microcytosis not likely explained by iron deficiency, inflammation or a hemoglobinopathy are caused by α-globin gene deletion(s). This laboratory survey, despite a short period of sample collection (3 months) identified 6 carriers of a 2 gene deletion in cis that may have a severe impact on reproductive decisions and potential future utilisation of resources. These findings are likely to be reproducible in other North American cosmopolitan cities where α-thalassemia is not endemic but likely to be of increasing prevalence due to immigration. The availability, precision and reliability of diagnostic methods such as m-PCR and the increasing ethnic diversity of North-American cities point to an emerging need to develop genetic counseling programs based on the molecular diagnosis of α-thalassemia. Erythrocytic parameters with their standard deviation in the different α-globin genotype groups RBC (x1012/L) MCH (pg) Hb (g/dL) Mentzer† RDW MCV (fL) † calculated for samples with Hb>90 g/L *indicates values that are significantly different from data of other groups. RBC: Red Blood Cells, MCH: Mean Corpuscular Hemoglobin, Hb: Hemoglobin, RDW: Red Cells Distribution Width, MCV: Mean Corpuscular Volume group 1 (normal genotype) 4,27±0,75 * 25±1,5 107±20 * 17,4±2,4 * 17,0±3,1 * 76,6±3,2 group 2 (single α-globin gene deletion) 4,70±0,85 25,2±1,5 118±22 16,2±2,9 * 15,1±2,1 76,9±3,5 group 3 (double α-globin gene deletion) 5,20±0,57 23,2±1,3 * 120±9 14,1±2,1 * 14,8±2,8 72,4±3,0 *

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)0.001
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 score0.005
Threshold uncertainty score0.010

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.004
GPT teacher head0.200
Teacher spread0.196 · 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
Published2004
Admission routes1
Has abstractyes

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