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

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 previo...

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Published in:Molecular Genetics and Metabolism Reports
Main Authors: Minja Pehrsson, Hanna Heikkinen, Ulla Wartiovaara-Kautto, Sampo Mäntylahti, Pia Bäckström, Mariann I. Lassenius, Kristiina Uusi-Rauva, Olli Carpén, Kaisa Elomaa
Format: Article in Journal/Newspaper
Language:English
Published: Elsevier 2022
Subjects:
GBA
Online Access:https://doi.org/10.1016/j.ymgmr.2022.100911
https://doaj.org/article/b89df55e164e428891087e026837972c
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spelling ftdoajarticles:oai:doaj.org/article:b89df55e164e428891087e026837972c 2023-05-15T17:42:56+02:00 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 2022-12-01T00:00:00Z https://doi.org/10.1016/j.ymgmr.2022.100911 https://doaj.org/article/b89df55e164e428891087e026837972c EN eng Elsevier http://www.sciencedirect.com/science/article/pii/S2214426922000714 https://doaj.org/toc/2214-4269 2214-4269 doi:10.1016/j.ymgmr.2022.100911 https://doaj.org/article/b89df55e164e428891087e026837972c Molecular Genetics and Metabolism Reports, Vol 33, Iss , Pp 100911- (2022) Biobank study Electronic health record data Small nucleotide polymorphism chip genotype data Gaucher disease Gaucher earlier diagnosis consensus point-scoring system GBA Medicine (General) R5-920 Biology (General) QH301-705.5 article 2022 ftdoajarticles https://doi.org/10.1016/j.ymgmr.2022.100911 2022-12-30T22:30:38Z 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 GBA gene were tested. 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 GBA variants was visually assessed. FFPE tissues of GD patients were obtained from HBB and Biobank Borealis of Northern Finland (BB). 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 ... Article in Journal/Newspaper Northern Finland Directory of Open Access Journals: DOAJ Articles Molecular Genetics and Metabolism Reports 33 100911
institution Open Polar
collection Directory of Open Access Journals: DOAJ Articles
op_collection_id ftdoajarticles
language English
topic Biobank study
Electronic health record data
Small nucleotide polymorphism chip genotype data
Gaucher disease
Gaucher earlier diagnosis consensus point-scoring system
GBA
Medicine (General)
R5-920
Biology (General)
QH301-705.5
spellingShingle Biobank study
Electronic health record data
Small nucleotide polymorphism chip genotype data
Gaucher disease
Gaucher earlier diagnosis consensus point-scoring system
GBA
Medicine (General)
R5-920
Biology (General)
QH301-705.5
Minja Pehrsson
Hanna Heikkinen
Ulla Wartiovaara-Kautto
Sampo Mäntylahti
Pia Bäckström
Mariann I. Lassenius
Kristiina Uusi-Rauva
Olli Carpén
Kaisa Elomaa
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
topic_facet Biobank study
Electronic health record data
Small nucleotide polymorphism chip genotype data
Gaucher disease
Gaucher earlier diagnosis consensus point-scoring system
GBA
Medicine (General)
R5-920
Biology (General)
QH301-705.5
description 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 GBA gene were tested. 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 GBA variants was visually assessed. FFPE tissues of GD patients were obtained from HBB and Biobank Borealis of Northern Finland (BB). 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 ...
format Article in Journal/Newspaper
author Minja Pehrsson
Hanna Heikkinen
Ulla Wartiovaara-Kautto
Sampo Mäntylahti
Pia Bäckström
Mariann I. Lassenius
Kristiina Uusi-Rauva
Olli Carpén
Kaisa Elomaa
author_facet Minja Pehrsson
Hanna Heikkinen
Ulla Wartiovaara-Kautto
Sampo Mäntylahti
Pia Bäckström
Mariann I. Lassenius
Kristiina Uusi-Rauva
Olli Carpén
Kaisa Elomaa
author_sort Minja Pehrsson
title 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
title_short 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
title_full 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
title_fullStr 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
title_full_unstemmed 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
title_sort 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
publisher Elsevier
publishDate 2022
url https://doi.org/10.1016/j.ymgmr.2022.100911
https://doaj.org/article/b89df55e164e428891087e026837972c
genre Northern Finland
genre_facet Northern Finland
op_source Molecular Genetics and Metabolism Reports, Vol 33, Iss , Pp 100911- (2022)
op_relation http://www.sciencedirect.com/science/article/pii/S2214426922000714
https://doaj.org/toc/2214-4269
2214-4269
doi:10.1016/j.ymgmr.2022.100911
https://doaj.org/article/b89df55e164e428891087e026837972c
op_doi https://doi.org/10.1016/j.ymgmr.2022.100911
container_title Molecular Genetics and Metabolism Reports
container_volume 33
container_start_page 100911
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