Evidence map›Paper›PMID 36092251›Full record

ArticleMolecular genetics and metabolism reports2022

Screening for potential undiagnosed Gaucher disease patients: Utilisation of the Gaucher earlier diagnosis consensus point-scoring system (GED-C PSS) in conjunction with electronic health record data, tissue specimens, and small nucleotide polymorphism (SNP) genotype data available in Finnish biobanks.

Minja Pehrsson, Hanna Heikkinen, Ulla Wartiovaara-Kautto, Sampo Mäntylahti, Pia Bäckström, Mariann I Lassenius, Kristiina Uusi-Rauva, Olli Carpén, Kaisa Elomaa

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In one paragraph

Article in Molecular genetics and metabolism reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.4field-weighted citation impact, top 41% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed, 3 citations in OpenAlex.

  1. Review
  2. Obstacles to Early Diagnosis of Gaucher Disease.Therapeutics and clinical risk management · 2025
    Review
  3. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors at 1 institution in 1 country.

Minja PehrssonHelsinki Biobank, Helsinki University Hospital, Haartmaninkatu 3, 00290 Helsinki, Finland.
Hanna HeikkinenHelsinki Biobank, Helsinki University Hospital, Haartmaninkatu 3, 00290 Helsinki, Finland.
Ulla Wartiovaara-KauttoDepartment of Hematology, Comprehensive Cancer Center, Helsinki University Hospital and University of Helsinki, Haartmaninkatu 4, 00290 Helsinki, Finland.
Sampo MäntylahtiHelsinki Biobank, Helsinki University Hospital, Haartmaninkatu 3, 00290 Helsinki, Finland.
Pia BäckströmHelsinki Biobank, Helsinki University Hospital, Haartmaninkatu 3, 00290 Helsinki, Finland.
Mariann I LasseniusMedaffcon Oy, Metsänneidonkuja 8, 02130 Espoo, Finland.
Kristiina Uusi-RauvaMedaffcon Oy, Metsänneidonkuja 8, 02130 Espoo, Finland.
Olli CarpénHelsinki Biobank, Helsinki University Hospital, Haartmaninkatu 3, 00290 Helsinki, Finland.
Kaisa ElomaaTakeda Oy, Ilmalantori 1, 00101 Helsinki, Finland.
Helsinki University Hospital · FI

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Autosomal recessive Gaucher disease (GD) is likely underdiagnosed in many countries. Because the number of diagnosed GD patients in Finland is relatively low, and the true prevalence is currently not known, it was hypothesized that undiagnosed GD patients may exist in Finland. Our previous study demonstrated the applicability of Gaucher Earlier Diagnosis Consensus point-scoring system (GED-C PSS; Mehta et al., 2019) and Finnish biobank data and specimens in the automated point scoring of large populations. An indicative point-score range for Finnish GD patients was determined, but undiagnosed patients were not identified partly due to high number of high-score subjects in combination with a lack of suitable samples for diagnostics in the assessed biobank population. The current study extended the screening to another biobank and evaluated the feasibility of utilising the automated GED-C PSS in conjunction with small nucleotide polymorphism (SNP) chip genotype data from the FinnGen study of biobank sample donors in the identification of undiagnosed GD patients in Finland. Furthermore, the applicability of FFPE tissues and DNA restoration in the next-generation sequencing (NGS) of the Methods: Previously diagnosed Finnish GD patients eligible to the study, and up to 45,100 sample donors in Helsinki Biobank (HBB) were point scored. The GED-C point scoring, adjusted to local data, was automated, but also partly manually verified for GD patients. The SNP chip genotype data for rare Results: Three previously diagnosed GD patients and one patient previously treated for GD-related features were included. A genetic diagnosis was confirmed for the patient treated for GD-related features. The GED-C point score of the GD patients was 12.5-22.5 in the current study. The score in eight Finnish GD patients of the previous and the current study is thus 6-22.5 points per patient. In the automated point scoring of the HBB subpopulation (N ≈ 45,100), the overall scores ranged from 0 to 17.5, with 0.77% (346/45,100) of the subjects having ≥10 points. The analysis of SNP chip genotype data was able to identify the diagnosed GD patients, but potential undiagnosed patients with the GED-C score and/or the Discussion: These findings imply that the prevalence of diagnosed patients (~1:325,000) may indeed correspond the true prevalence of GD in Finland. The SNP chip genotype data is a valuable tool that complements the screening with the GED-C PSS, especially if the genotyping pipeline is tuned for rare variants. These proof-of-concept biobank tools can be adapted to other rare genetic diseases.

Indexed as

BB, Biobank Borealis of Northern FinlandBiobank studyDF4/DF5, Data freeze 4/5EHR, Electronic health recordElectronic health record dataFFPE, Formalin-fixed, paraffin embeddedGaucher diseaseGaucher earlier diagnosis consensus point-scoring systemGBAGBA1/GBA, β-glucocerebrosidase geneGD, Gaucher diseaseGED-C, Gaucher Earlier Diagnosis ConsensusGlcCerase, β-glucosylceramidaseGlcCer, β-glucosylceramideGlcSph/Lyso-Gb1, β-glucosylsphingosineHBB, Helsinki BiobankHUH, Helsinki University HospitalHUS, Hospital District of Helsinki and UusimaaICD-10, International Statistical Classification of Diseases and Related Health Problems 10th RevisionNGS, Next-generation sequencingOUH, Oulu University HospitalPSS, Point-scoring systemSmall nucleotide polymorphism chip genotype dataSNP, small nucleotide polymorphismVUS, variant of uncertain significance

Identifiers

PMID36092251
PMCPMC9449642
OpenAlexW4293339594

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.