Regional Genetic Heterogeneity Among Patients with Pyruvate Kinase Deficiency
Bibliographic record
Abstract
Background: Pyruvate kinase (PK) deficiency is a rare, congenital hemolytic anemia caused by homozygous or compound heterozygous mutations in the PKLR gene, with a prevalence of 3.2-8.5 individuals per million in Western populations. Over 350 pathogenic variants in the PKLR gene have been reported, with the majority being missense substitutions. Although their frequency differs across regions and populations, the geographic distribution of PKLR variants has not yet been fully investigated. Aim: To evaluate the PKLR genotype distribution by region among patients (pts) with PK deficiency in the merged real-world database of the Peak Registry (NCT03481738) and PK Deficiency Natural History Study (NHS; NCT02053480). Methods: The NHS was a global, longitudinal, observational study that enrolled pts with PK deficiency from 2014-2017 (study completed May 2020). The Peak Registry is an ongoing global registry which was initiated in 2018 to build on the NHS with expanded pt recruitment and geographic reach, broader data collection, and longer pt follow-up. Comparable data from these two studies were integrated to form a merged database providing enlarged sample size and prolonged follow-up from pts who participated in both studies. This analysis included pts with available genotype data from the NHS and Peak Registry, including those who were siblings; a large Amish cohort of pts carrying the homozygous p.R479H variant was excluded to avoid reporting bias. Genotype classifications were aligned between the two studies. Data were extracted from the merged database of NHS and Peak (data cutoff date: 13May2022) and summarized descriptively by region. Regions were defined as: Northern (N) Europe (Denmark, Ireland, Netherlands, UK); Central (C) Europe (Czech Republic, Germany, Switzerland); Southern (S) Europe (France, Italy, Spain, Portugal); Asia (S Korea, Thailand, Turkey); N America (Canada, US). Results: 362 pts were included in the analysis (N Europe, N=59; S Europe, N=62; C Europe, N=51; Asia, N=23; N America, N=167), 97 (27%) of whom were siblings. Most pts (72%) had compound heterozygous PKLR variants (Table). Homozygous mutations were most common among pts from Asia (15/23; 65%) and were least common among pts from S Europe (8/62; 13%). Almost half of pts from N Europe (49%) had a compound heterozygous missense/missense (M/M) genotype, while a similar proportion from S Europe (44%) had a compound heterozygous missense/non-missense (M/NM) genotype. A total of 724 PKLR variants were identified, including 197 unique variants, 26 of which were newly identified. Most were missense mutations (76%), followed by nonsense (10%), splice site (7%), and frameshift (5%) mutations. The majority of mutated alleles in the cohort were single nucleotide variants (90%), followed by small deletions (4%), large deletions (4%), and insertions (2%). The amino acid variant with the highest observed frequency was p.Arg510Gln, both overall (158/724; 22%), and in N Europe (31/118; 26%), C Europe (27/102; 26%), and N America (92/334; 28%), but it was not observed in Asia (0/46; 0%). The second most common variant overall, p.Arg486Trp (67/724; 9%), was the most frequent in S Europe (31/124; 25%). When stratified by genotype, p.Arg510Gln was the most common missense mutation in homozygous pts in each region (40-67%) except in Asia. In Asia, p.Thr157Ala, p.Lys541Asn, and p.Arg194Pro were the most common mutations overall (4/46; 9%), and also the most common missense mutations in homozygous pts (4/28; 14%). One hundred and seventy-four unique variants were observed in compound heterozygotes. In S Europe (27/102; 26%) and Asia (2/10; 20%), p.Arg486Trp was the most frequently observed missense mutation in compound heterozygote pts. Overall and in all regions except for Asia (where it was absent), p.Glu241Ter was the most common non-missense mutation in compound heterozygote pts (32/254; 13%); this was p.Gly540Ter (3/6; 50%) in Asia. Conclusions: This analysis, which used the largest real-world data source for pts with PK deficiency, confirms the genetic heterogeneity of the disease, showing that the mutation frequency in PKLR varies substantially based on geographic distribution and that the identification of novel genetic variants is relatively common in PK deficiency.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".