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Molecular Characterization of 140 Patients in the Pyruvate Kinase Deficiency (PKD) Natural History Study (NHS): Report of 20 New Variants

2015· article· en· W2587146175 on OpenAlexaffabout
Paola Bianchi, Elisa Fermo, Kimberly Lezon-Geyda, Patrick G. Gallagher, D. Holmes Morton, Wilma Barcellini, Bertil Glader, Stefan Eber, Jenny M. Despotovic, Christine Knoll, Hassan M. Yaish, Peter E. Newburger, Jennifer Rothman, Alexis A. Thompson, Yaddanapudi Ravindranath, Kerri Nottage, Heng Wang, Eduard J. van Beers, Joachim B. Kunz, Marcin W. Włodarski, Mukta Sharma, Melissa J. Rose, Yves Pastore, Patricia J. Giardina, Melissa Rhodes, Kevin H.M. Kuo, Dongjing Guo, Wendy B. London, Rachael F. Grace

Bibliographic record

VenueBlood · 2015
Typearticle
Languageen
FieldMedicine
TopicErythrocyte Function and Pathophysiology
Canadian institutionsUniversity of TorontoUniversity Health NetworkCentre Hospitalier Universitaire Sainte-Justine
Fundersnot available
KeywordsMissense mutationPyruvate kinase deficiencySanger sequencingCompound heterozygosityGeneticsBiologyFrameshift mutationGenotypeMutationGeneMedicinePyruvate kinaseGlycolysisEnzyme

Abstract

fetched live from OpenAlex

Abstract Background: PKD is the most common enzyme defect of the glycolytic pathway causing hereditary non-spherocytic chronic hemolytic anemia. PKD is transmitted as an autosomal recessive trait, caused by both homozygous and compound heterozygote mutations in the PKLR gene, and is characterized by molecular heterogeneity with > 200 different mutations reported. Aim: To describe the PKLR genotypes in the PKD NHS with an in depth characterization of 20 newly reported mutations. Methods: Participants (pts) were enrolled in the PKD NHS, a prospective international study open at 23 sites in North America and Europe. Pts with prior PKLR gene sequencing were not resequenced. DNA from all other pts was extracted and the PKLR gene analyzed by Sanger sequencing at 1 of 2 central labs. All new missense mutations affected highly conserved residues in multiple domains of the PKLR gene, were not detected in 1000 genomes and LOVD database, and were considered pathogenic by NCBI and/or UniProtKB and by Polyphen analysis. Results: Genotype information was available on 140 enrolled pts. Of these, 66 (47%) were related to other subjects enrolled in the study. Molecular characterization confirmed the wide heterogeneity of PKD with 65 different mutations identified, including: 42 missense, 20 disruptive mutations (7 splicing, 6 frameshift, 3 stop codons, and 4 large deletions), 2 inframe insertion/deletions, and 1 promoter variant. Sixty-six pts were homozygous, of whom 55 were of Amish origin carrying the p.R479H mutation. Of the 55, 46 had been transfusion dependent prior to splenectomy and 9 had only received transfusions for acute stressors; 93% had been splenectomized, and all were transfusion independent post-splenectomy. Thirty-nine cases had 2 different missense mutations; 18 had one missense and one disruptive mutation, and 16 had 2 disruptive mutations; 1 patient with 17% residual PK activity displayed 3 different mutations (R510W, E241X and V276WXfs45). Besides R479H, the most common mutations were: R510W (16% of the mutated alleles), R486W (12%), and G241X (9%). Frequencies of R510W and R486W were less than those reported in Europe (41% and 30%, respectively). Twenty mutations, all affecting the PK structural domains, have not been previously described: 14 missense, 3 splicing (c.966(-9) a>g; c.1116(+2) t>c; c.375(+1) g>a), 1 frameshift (R40R fsX7), 1 inframe insertion of 2 amino acids, and 1 large deletion spanning intron 2 to intron 3 (Table). The 3 new splice site mutations were predicted to affect normal splicing when analyzed by HSF3.0, using both HSF and MaxEnt algorithms; in particular, homozygous c.966(-9) a>g was detected in a patient with moderate anemia, reticulocytosis, and mental retardation of unclear etiology. The two new missense mutations detected at a homozygous level (A137V and N156G) were associated with moderate or severe anemia and need for regular transfusions. The latter is located in the Aβ3 catalytic domain/K binding site and probably affects the catalytic efficiency of the enzyme. All the remaining new variants were detected in compound heterozygosity making it difficult to predict their effect on clinical phenotype. Intra-family clinical variability was observed; no correlation was found among the kinds of mutations and the residual PK activity. Conclusion: The molecular features of the largest international cohort of PKD pts are described, including a report of 20 new mutations, thus confirming the wide heterogeneity of the molecular genotype in PKD. Figure 1. Figure 1. Disclosures Morton: Agios: Honoraria, Membership on an entity's Board of Directors or advisory committees. Eber:Agios: Honoraria, Membership on an entity's Board of Directors or advisory committees. Yaish:Agios: Membership on an entity's Board of Directors or advisory committees. Nottage:Janssen Pharmaceuticals: Employment. Kuo:Novartis Canada: Honoraria, Membership on an entity's Board of Directors or advisory committees; Alexion: Honoraria, Membership on an entity's Board of Directors or advisory committees. Grace:Agios: Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.755
Threshold uncertainty score0.251

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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 head0.022
GPT teacher head0.244
Teacher spread0.223 · 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".

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Citations4
Published2015
Admission routes2
Has abstractyes

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