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Record W2409959742

[Application studies on the gene diagnosis and carrier detection of hemophilia A by using polymerase chain reaction-conformation sensitive gel electrophoresis].

2009· article· en· W2409959742 on OpenAlexaff
David Lillicrap, Guoping He, Jayne Leggo, Yusheng Liu, Xianhong Tong, Guixiang Zhou, Li-hua Luo

Bibliographic record

VenuePubMed · 2009
Typearticle
Languageen
FieldMedicine
TopicHemophilia Treatment and Research
Canadian institutionsQueen's University
Fundersnot available
KeywordsProbandPolymerase chain reactionGeneticsExonPedigree chartIntronGeneMolecular biologyAmpliconMutationBiology
DOInot available

Abstract

fetched live from OpenAlex

OBJECTIVE: To establish a simple, rapid and easy method for screening the gene mutation in hemophilia A, which was further applied to a direct diagnosis and carrier detection at gene level. METHODS: Twenty-four clinically diagnosed hemophilia pedigrees, including all the hemophilia patients and female members, were tested for the introns 22 and 1 in factor VIII gene by using inversion polymerase chain reaction (PCR) and regular PCR techniques. All the 26 exons of factor VIII gene were consecutively screened in the 17 patients manifesting non-inverted sequences in intron 22 by using PCR, subsequently all the 37 amplicons resulted from 26 exons were analyzed by conformation sensitive gel electrophoresis (CSGE), finally the mutated exons were subjected to sequencing verification. According to the mutation results, mothers and twin sisters of the hemophilia probands were tested by CSGE or subjected to nucleotide sequencing directly, to ascertain if those individuals had the same mutation or were the carriers of disease-causing gene. RESULTS: Intron 22 inversion was detected in 7 hemophilia probands out of 24 hemophilia pedigrees, intron 1 inversion was not detected in these pedigrees. Single-base mutations distributed in different exons of factor VIII gene were detected in 13 pedigrees with family history and 3 sporadic pedigrees, diagnosed as non-inverted 22 intron patients. By comprehensive usage of PCR-CSGE and nucleotide sequencing, the positive rate and the diagnosable rate of gene diagnosis or carrier detection in the 24 hemophilia pedigrees was 94.12% and 100% respectively. CONCLUSION: PCR-CSGE is a highly sensitive and special assay for detecting single base mutation. By integrated utilization of introns 22 and 1 of factor VIII gene detection and PCR-CSGE genotyping, combining with nucleotide sequencing, a direct diagnosis of all hemophilia pedigrees be could nearly make at gene level, including the sporadic families. This method might be used to screen new mutation theoretically and ascertain the mutation type. It is a simple, rapid and low-cost method, possessing unique advantages in direct diagnosis of hemophilia A and carrier screening. It should have important application value in hemophilia diagnosis.

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)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.015

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.004
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0020.001

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 head0.031
GPT teacher head0.283
Teacher spread0.252 · 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 designBench or experimental
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

Citations0
Published2009
Admission routes1
Has abstractyes

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