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dc.contributorInstitut d'Assistència Sanitària
dc.contributor.authorMartín-Campos, Jesús Maria
dc.contributor.authorRuiz-Nogales, Sheila
dc.contributor.authorOrtega, Emilio
dc.contributor.authorSánchez-Pujol, Elisabet
dc.contributor.authorRoyuela Juncadella, Meritxell
dc.contributor.authorVila, Àlex
dc.contributor.authorGuerrero, Carolina
dc.contributor.authorZamora, Alberto
dc.contributor.authorSoler, Cristina
dc.contributor.authorIbarretxe, Daiana
dc.date.accessioned2022-02-09T14:23:50Z
dc.date.available2022-02-09T14:23:50Z
dc.date.issued2020-09-15
dc.identifier.citationMartín-Campos JM, Ruiz-Nogales S, Ibarretxe D, Ortega E, Sánchez-Pujol E, Royuela-Juncadella M, et al. Polygenic Markers in Patients Diagnosed of Autosomal Dominant Hypercholesterolemia in Catalonia: Distribution of Weighted LDL-c-Raising SNP Scores and Refinement of Variant Selection. Biomedicines. 2020 Sep 15;8(9):353.
dc.identifier.issn2227-9059
dc.identifier.urihttps://hdl.handle.net/11351/6995
dc.descriptionFamilial hypercholesterolemia; Atherosclerosis; Genetic risk scores
dc.description.abstractFamilial hypercholesterolemia (FH) is associated with mutations in the low-density lipoprotein (LDL) receptor (LDLR), apolipoprotein B (APOB), and proprotein convertase subtilisin/kexin 9 (PCSK9) genes. A pathological variant has not been identified in 30–70% of clinically diagnosed FH patients, and a burden of LDL cholesterol (LDL-c)-raising alleles has been hypothesized as a potential cause of hypercholesterolemia in these patients. Our aim was to study the distribution of weighted LDL-c-raising single-nucleotide polymorphism (SNP) scores (weighted gene scores or wGS) in a population recruited in a clinical setting in Catalonia. The study included 670 consecutive patients with a clinical diagnosis of FH and a prior genetic study involving 250 mutation-positive (FH/M+) and 420 mutation-negative (FH/M−) patients. Three wGSs based on LDL-c-raising variants were calculated to evaluate their distribution among FH patients and compared with 503 European samples from the 1000 Genomes Project. The FH/M− patients had significantly higher wGSs than the FH/M+ and control populations, with sensitivities ranging from 42% to 47%. A wGS based only on the SNPs significantly associated with FH (wGS8) showed a higher area under the receiver operating characteristic curve, and higher diagnostic specificity and sensitivity, with 46.4% of the subjects in the top quartile. wGS8 would allow for the assignment of a genetic cause to 66.4% of the patients if those with polygenic FH are added to the 37.3% of patients with monogenic FH. Our data indicate that a score based on 8 SNPs and the75th percentile cutoff point may identify patients with polygenic FH in Catalonia, although with limited diagnostic sensitivity and specificity
dc.language.isoeng
dc.publisherMDPI
dc.relation.ispartofseriesBiomedicines;8(9)
dc.rightsAttribution 4.0 International
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.sourceScientia
dc.subjectColesterolèmia - Catalunya
dc.subjectLipoproteïnes de densitat baixa - Receptors
dc.subjectHiperlipoproteïnèmia - Catalunya
dc.subject.meshCholesterol, LDL
dc.subject.meshReceptors, LDL
dc.subject.meshHyperlipoproteinemia Type II
dc.subject.meshCatalonia
dc.titlePolygenic Markers in Patients Diagnosed of Autosomal Dominant Hypercholesterolemia in Catalonia: Distribution of Weighted LDL-c-Raising SNP Scores and Refinement of Variant Selection
dc.typeinfo:eu-repo/semantics/article
dc.identifier.doi10.3390/biomedicines8090353
dc.subject.decscolesterol LDL
dc.subject.decshipercolesterolemia familiar
dc.subject.decsreceptores de LDL
dc.subject.decsCataluña
dc.relation.publishversionhttps://doi.org/10.3390/biomedicines8090353
dc.type.versioninfo:eu-repo/semantics/publishedVersion
dc.audienceProfessionals
dc.event.productorBiblioteca
dc.contributor.authoraffiliation[Martín-Campos J] Grup de Bases Metabòliques del Risc Cardiovascular, Institut d'Investigació de l'Hospital Santa Creu i Sant Pau (IR-HSCSP), Institut d'Investigació Biomèdica de Sant Pau (IIB-Sant Pau), Barcelona, Spain. Centre Espanyol d'Investigació Biomèdica en Diabetis i Trastorns Metabòlics Associats (CIBERDEM), Madrid, Spain. [Ruiz-Nogales S] Grup de Bases Metabòliques del Risc Cardiovascular, Institut d'Investigació de l'Hospital Santa Creu i Sant Pau (IR-HSCSP). Institut d'Investigació Biomèdica de Sant Pau (IIB-Sant Pau), Barcelona, Spain. [Ibarretxe D] Investigació Biomèdica Espanyola Centre de Diabetis i Trastorns Metabòlics Associats (CIBERDEM), Madrid, Spain. Unitat de Recerca en Lípids i Aterosclerosi, Unitat de Medicina Vascular i Metabolisme, Hospital Universitari Sant Joan, Universitat Rovira i Virgili, Institut d'Investigació Sanitària Pere Virgili (IISPV), Reus, Spain. [Ortega E] Servei d'Endocrinologia i Nutrició, Hospital Clínic, Barcelona, Spain. Centre Espanyol d'Investigació Biomèdica en Fisiopatologia de l'Obesitat i la Nutrició (CIBEROBN), Madrid, Spain. [Sánchez-Pujol E] Servei de Medicina Interna, Hospital-Asil de Granollers, Granollers, Barcelona, Spain. [Royuela-Juncadella M] Servei de Medicina Interna, Altahia, Xarxa Assistencial Universitària de Manresa, Manresa, Spain. [Vila A] Servei de Medicina Interna, Hospital de Figueres, Figueres, Spain. [Guerrero C] Servei de Medicina Interna, Hospital de Terrassa, Consorci Sanitari de Terrassa, Terrassa, Spain. Servei de Medicina Interna, Hospital Sant Joan de Déu de Martorell, Martorell, Spain. [Zamora A] Servei de Medicina Interna, Corporació de Salut del Maresme i La Selva, Hospital de Blanes, Blanes, Spain. [Soler-Ferrer C] Servei de Medicina Interna, Hospital Santa Caterina, Institut d’Assistència Sanitària(IAS), Salt, Spain
dc.identifier.pmid32942679
dc.rights.accessrightsinfo:eu-repo/semantics/openAccess


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