Common variants in Alzheimer’s disease and risk stratification by polygenic risk scores

Autores
de Rojas, Itziar; Moreno Grau, Sonia; Tesi, Niccolo; Grenier Boley, Benjamin; Andrade, Victor; Pedersen, Nancy L.; Stringa, Najada; Zettergren, Anna; Hernández, Isabel; Montrreal, Laura; Antúnez, Carmen; Antonell, Anna; Tankard, Rick M.; Bis, Joshua C.; Sims, Rebecca; Bellenguez, Céline; Quintela, Inés; González Perez, Antonio; Calero, Miguel; Franco Macías, Emilio; Macías, Juan; Blesa, Rafael; Cervera Carles, Laura; Menéndez González, Manuel; Frank García, Ana; Royo, Jose Luís; Moreno, Fermin; Huerto Vilas, Raquel; Baquero, Miquel; Dalmasso, Maria Carolina
Año de publicación
2021
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
Genetic discoveries of Alzheimer’s disease are the drivers of our understanding, and together with polygenetic risk stratification can contribute towards planning of feasible and efficient preventive and curative clinical trials. We first perform a large genetic association study by merging all available case-control datasets and by-proxy study results (discovery n = 409,435 and validation size n = 58,190). Here, we add six variants associated with Alzheimer’s disease risk (near APP, CHRNE, PRKD3/NDUFAF7, PLCG2 and two exonic variants in the SHARPIN gene). Assessment of the polygenic risk score and stratifying by APOE reveal a 4 to 5.5 years difference in median age at onset of Alzheimer’s disease patients in APOE ɛ4 carriers. Because of this study, the underlying mechanisms of APP can be studied to refine the amyloid cascade and the polygenic risk score provides a tool to select individuals at high risk of Alzheimer’s disease.
Fil: de Rojas, Itziar. Universitat Internacional de Catalunya; España. Instituto de Salud Carlos Iii (isciii); España
Fil: Moreno Grau, Sonia. Universitat Internacional de Catalunya; España. Instituto de Salud Carlos Iii (isciii); España
Fil: Tesi, Niccolo. Vrije Universiteit Amsterdam; Países Bajos. Delft University of Technology; Países Bajos
Fil: Grenier Boley, Benjamin. Universite Lille; Francia
Fil: Andrade, Victor. Universitat zu Köln; Alemania. Universitat Bonn; Alemania
Fil: Pedersen, Nancy L.. Karolinska Huddinge Hospital. Karolinska Institutet; Suecia
Fil: Stringa, Najada. University of Amsterdam; Países Bajos
Fil: Zettergren, Anna. University of Gothenburg; Suecia
Fil: Hernández, Isabel. Universitat Internacional de Catalunya; España. Instituto de Salud Carlos Iii (isciii); España
Fil: Montrreal, Laura. Universitat Internacional de Catalunya; España
Fil: Antúnez, Carmen. Hospital Clínico Universitario Virgen de la Arrixaca; España
Fil: Antonell, Anna. Universidad de Barcelona; España
Fil: Tankard, Rick M.. Murdoch University; Australia
Fil: Bis, Joshua C.. University of Washington; Estados Unidos
Fil: Sims, Rebecca. Cardiff University; Reino Unido
Fil: Bellenguez, Céline. Universite Lille; Francia
Fil: Quintela, Inés. Universidad de Santiago de Compostela; España
Fil: González Perez, Antonio. Centro Andaluz de Estudios Bioinformáticos; España
Fil: Calero, Miguel. Instituto de Salud Carlos Iii (isciii); España. Fundación Reina Sofia; España
Fil: Franco Macías, Emilio. Universidad de Sevilla; España
Fil: Macías, Juan. Hospital Universitario de Valme; España
Fil: Blesa, Rafael. Instituto de Salud Carlos Iii (isciii); España. Universitat Autònoma de Barcelona; España
Fil: Cervera Carles, Laura. Instituto de Salud Carlos Iii (isciii); España. Universitat Autònoma de Barcelona; España
Fil: Menéndez González, Manuel. Universidad de Oviedo; España
Fil: Frank García, Ana. Instituto de Salud Carlos Iii (isciii); España. Universidad Autónoma de Madrid; España. Instituto de Investigacion del Hospital de la Paz.; España. Hospital Universitario La Paz; España
Fil: Royo, Jose Luís. Universidad de Málaga; España
Fil: Moreno, Fermin. Instituto de Salud Carlos Iii (isciii); España. Hospital Universitario Donostia; España. Instituto Biodonostia; España
Fil: Huerto Vilas, Raquel. Hospital Universitari Santa Maria de Lleida; España. Institut de Recerca Biomedica de Lleida; España
Fil: Baquero, Miquel. Hospital Universitari i Politècnic La Fe; España
Fil: Dalmasso, Maria Carolina. Gobierno de la Provincia de la Pampa. Ministerio Publico. Laboratorio de Genetica Forense.; Argentina. Universitat zu Köln; Alemania. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Patagonia Confluencia; Argentina
Materia
ALZHEIMER DISEASE
GENOME WIDE ASSOCIATION STUDY
POLYGENIC RISK SCORE
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/149959

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network_name_str CONICET Digital (CONICET)
spelling Common variants in Alzheimer’s disease and risk stratification by polygenic risk scoresde Rojas, ItziarMoreno Grau, SoniaTesi, NiccoloGrenier Boley, BenjaminAndrade, VictorPedersen, Nancy L.Stringa, NajadaZettergren, AnnaHernández, IsabelMontrreal, LauraAntúnez, CarmenAntonell, AnnaTankard, Rick M.Bis, Joshua C.Sims, RebeccaBellenguez, CélineQuintela, InésGonzález Perez, AntonioCalero, MiguelFranco Macías, EmilioMacías, JuanBlesa, RafaelCervera Carles, LauraMenéndez González, ManuelFrank García, AnaRoyo, Jose LuísMoreno, FerminHuerto Vilas, RaquelBaquero, MiquelDalmasso, Maria CarolinaALZHEIMER DISEASEGENOME WIDE ASSOCIATION STUDYPOLYGENIC RISK SCOREhttps://purl.org/becyt/ford/3.4https://purl.org/becyt/ford/3Genetic discoveries of Alzheimer’s disease are the drivers of our understanding, and together with polygenetic risk stratification can contribute towards planning of feasible and efficient preventive and curative clinical trials. We first perform a large genetic association study by merging all available case-control datasets and by-proxy study results (discovery n = 409,435 and validation size n = 58,190). Here, we add six variants associated with Alzheimer’s disease risk (near APP, CHRNE, PRKD3/NDUFAF7, PLCG2 and two exonic variants in the SHARPIN gene). Assessment of the polygenic risk score and stratifying by APOE reveal a 4 to 5.5 years difference in median age at onset of Alzheimer’s disease patients in APOE ɛ4 carriers. Because of this study, the underlying mechanisms of APP can be studied to refine the amyloid cascade and the polygenic risk score provides a tool to select individuals at high risk of Alzheimer’s disease.Fil: de Rojas, Itziar. Universitat Internacional de Catalunya; España. Instituto de Salud Carlos Iii (isciii); EspañaFil: Moreno Grau, Sonia. Universitat Internacional de Catalunya; España. Instituto de Salud Carlos Iii (isciii); EspañaFil: Tesi, Niccolo. Vrije Universiteit Amsterdam; Países Bajos. Delft University of Technology; Países BajosFil: Grenier Boley, Benjamin. Universite Lille; FranciaFil: Andrade, Victor. Universitat zu Köln; Alemania. Universitat Bonn; AlemaniaFil: Pedersen, Nancy L.. Karolinska Huddinge Hospital. Karolinska Institutet; SueciaFil: Stringa, Najada. University of Amsterdam; Países BajosFil: Zettergren, Anna. University of Gothenburg; SueciaFil: Hernández, Isabel. Universitat Internacional de Catalunya; España. Instituto de Salud Carlos Iii (isciii); EspañaFil: Montrreal, Laura. Universitat Internacional de Catalunya; EspañaFil: Antúnez, Carmen. Hospital Clínico Universitario Virgen de la Arrixaca; EspañaFil: Antonell, Anna. Universidad de Barcelona; EspañaFil: Tankard, Rick M.. Murdoch University; AustraliaFil: Bis, Joshua C.. University of Washington; Estados UnidosFil: Sims, Rebecca. Cardiff University; Reino UnidoFil: Bellenguez, Céline. Universite Lille; FranciaFil: Quintela, Inés. Universidad de Santiago de Compostela; EspañaFil: González Perez, Antonio. Centro Andaluz de Estudios Bioinformáticos; EspañaFil: Calero, Miguel. Instituto de Salud Carlos Iii (isciii); España. Fundación Reina Sofia; EspañaFil: Franco Macías, Emilio. Universidad de Sevilla; EspañaFil: Macías, Juan. Hospital Universitario de Valme; EspañaFil: Blesa, Rafael. Instituto de Salud Carlos Iii (isciii); España. Universitat Autònoma de Barcelona; EspañaFil: Cervera Carles, Laura. Instituto de Salud Carlos Iii (isciii); España. Universitat Autònoma de Barcelona; EspañaFil: Menéndez González, Manuel. Universidad de Oviedo; EspañaFil: Frank García, Ana. Instituto de Salud Carlos Iii (isciii); España. Universidad Autónoma de Madrid; España. Instituto de Investigacion del Hospital de la Paz.; España. Hospital Universitario La Paz; EspañaFil: Royo, Jose Luís. Universidad de Málaga; EspañaFil: Moreno, Fermin. Instituto de Salud Carlos Iii (isciii); España. Hospital Universitario Donostia; España. Instituto Biodonostia; EspañaFil: Huerto Vilas, Raquel. Hospital Universitari Santa Maria de Lleida; España. Institut de Recerca Biomedica de Lleida; EspañaFil: Baquero, Miquel. Hospital Universitari i Politècnic La Fe; EspañaFil: Dalmasso, Maria Carolina. Gobierno de la Provincia de la Pampa. Ministerio Publico. Laboratorio de Genetica Forense.; Argentina. Universitat zu Köln; Alemania. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Patagonia Confluencia; ArgentinaSpringer2021-06-07info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/149959de Rojas, Itziar; Moreno Grau, Sonia; Tesi, Niccolo; Grenier Boley, Benjamin; Andrade, Victor; et al.; Common variants in Alzheimer’s disease and risk stratification by polygenic risk scores; Springer; Nature Communications; 12; 1; 7-6-2021; 1-162041-1723CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/http://www.nature.com/articles/s41467-021-22491-8info:eu-repo/semantics/altIdentifier/doi/10.1038/s41467-021-22491-8info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-29T09:42:57Zoai:ri.conicet.gov.ar:11336/149959instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-09-29 09:42:57.73CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Common variants in Alzheimer’s disease and risk stratification by polygenic risk scores
title Common variants in Alzheimer’s disease and risk stratification by polygenic risk scores
spellingShingle Common variants in Alzheimer’s disease and risk stratification by polygenic risk scores
de Rojas, Itziar
ALZHEIMER DISEASE
GENOME WIDE ASSOCIATION STUDY
POLYGENIC RISK SCORE
title_short Common variants in Alzheimer’s disease and risk stratification by polygenic risk scores
title_full Common variants in Alzheimer’s disease and risk stratification by polygenic risk scores
title_fullStr Common variants in Alzheimer’s disease and risk stratification by polygenic risk scores
title_full_unstemmed Common variants in Alzheimer’s disease and risk stratification by polygenic risk scores
title_sort Common variants in Alzheimer’s disease and risk stratification by polygenic risk scores
dc.creator.none.fl_str_mv de Rojas, Itziar
Moreno Grau, Sonia
Tesi, Niccolo
Grenier Boley, Benjamin
Andrade, Victor
Pedersen, Nancy L.
Stringa, Najada
Zettergren, Anna
Hernández, Isabel
Montrreal, Laura
Antúnez, Carmen
Antonell, Anna
Tankard, Rick M.
Bis, Joshua C.
Sims, Rebecca
Bellenguez, Céline
Quintela, Inés
González Perez, Antonio
Calero, Miguel
Franco Macías, Emilio
Macías, Juan
Blesa, Rafael
Cervera Carles, Laura
Menéndez González, Manuel
Frank García, Ana
Royo, Jose Luís
Moreno, Fermin
Huerto Vilas, Raquel
Baquero, Miquel
Dalmasso, Maria Carolina
author de Rojas, Itziar
author_facet de Rojas, Itziar
Moreno Grau, Sonia
Tesi, Niccolo
Grenier Boley, Benjamin
Andrade, Victor
Pedersen, Nancy L.
Stringa, Najada
Zettergren, Anna
Hernández, Isabel
Montrreal, Laura
Antúnez, Carmen
Antonell, Anna
Tankard, Rick M.
Bis, Joshua C.
Sims, Rebecca
Bellenguez, Céline
Quintela, Inés
González Perez, Antonio
Calero, Miguel
Franco Macías, Emilio
Macías, Juan
Blesa, Rafael
Cervera Carles, Laura
Menéndez González, Manuel
Frank García, Ana
Royo, Jose Luís
Moreno, Fermin
Huerto Vilas, Raquel
Baquero, Miquel
Dalmasso, Maria Carolina
author_role author
author2 Moreno Grau, Sonia
Tesi, Niccolo
Grenier Boley, Benjamin
Andrade, Victor
Pedersen, Nancy L.
Stringa, Najada
Zettergren, Anna
Hernández, Isabel
Montrreal, Laura
Antúnez, Carmen
Antonell, Anna
Tankard, Rick M.
Bis, Joshua C.
Sims, Rebecca
Bellenguez, Céline
Quintela, Inés
González Perez, Antonio
Calero, Miguel
Franco Macías, Emilio
Macías, Juan
Blesa, Rafael
Cervera Carles, Laura
Menéndez González, Manuel
Frank García, Ana
Royo, Jose Luís
Moreno, Fermin
Huerto Vilas, Raquel
Baquero, Miquel
Dalmasso, Maria Carolina
author2_role author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
dc.subject.none.fl_str_mv ALZHEIMER DISEASE
GENOME WIDE ASSOCIATION STUDY
POLYGENIC RISK SCORE
topic ALZHEIMER DISEASE
GENOME WIDE ASSOCIATION STUDY
POLYGENIC RISK SCORE
purl_subject.fl_str_mv https://purl.org/becyt/ford/3.4
https://purl.org/becyt/ford/3
dc.description.none.fl_txt_mv Genetic discoveries of Alzheimer’s disease are the drivers of our understanding, and together with polygenetic risk stratification can contribute towards planning of feasible and efficient preventive and curative clinical trials. We first perform a large genetic association study by merging all available case-control datasets and by-proxy study results (discovery n = 409,435 and validation size n = 58,190). Here, we add six variants associated with Alzheimer’s disease risk (near APP, CHRNE, PRKD3/NDUFAF7, PLCG2 and two exonic variants in the SHARPIN gene). Assessment of the polygenic risk score and stratifying by APOE reveal a 4 to 5.5 years difference in median age at onset of Alzheimer’s disease patients in APOE ɛ4 carriers. Because of this study, the underlying mechanisms of APP can be studied to refine the amyloid cascade and the polygenic risk score provides a tool to select individuals at high risk of Alzheimer’s disease.
Fil: de Rojas, Itziar. Universitat Internacional de Catalunya; España. Instituto de Salud Carlos Iii (isciii); España
Fil: Moreno Grau, Sonia. Universitat Internacional de Catalunya; España. Instituto de Salud Carlos Iii (isciii); España
Fil: Tesi, Niccolo. Vrije Universiteit Amsterdam; Países Bajos. Delft University of Technology; Países Bajos
Fil: Grenier Boley, Benjamin. Universite Lille; Francia
Fil: Andrade, Victor. Universitat zu Köln; Alemania. Universitat Bonn; Alemania
Fil: Pedersen, Nancy L.. Karolinska Huddinge Hospital. Karolinska Institutet; Suecia
Fil: Stringa, Najada. University of Amsterdam; Países Bajos
Fil: Zettergren, Anna. University of Gothenburg; Suecia
Fil: Hernández, Isabel. Universitat Internacional de Catalunya; España. Instituto de Salud Carlos Iii (isciii); España
Fil: Montrreal, Laura. Universitat Internacional de Catalunya; España
Fil: Antúnez, Carmen. Hospital Clínico Universitario Virgen de la Arrixaca; España
Fil: Antonell, Anna. Universidad de Barcelona; España
Fil: Tankard, Rick M.. Murdoch University; Australia
Fil: Bis, Joshua C.. University of Washington; Estados Unidos
Fil: Sims, Rebecca. Cardiff University; Reino Unido
Fil: Bellenguez, Céline. Universite Lille; Francia
Fil: Quintela, Inés. Universidad de Santiago de Compostela; España
Fil: González Perez, Antonio. Centro Andaluz de Estudios Bioinformáticos; España
Fil: Calero, Miguel. Instituto de Salud Carlos Iii (isciii); España. Fundación Reina Sofia; España
Fil: Franco Macías, Emilio. Universidad de Sevilla; España
Fil: Macías, Juan. Hospital Universitario de Valme; España
Fil: Blesa, Rafael. Instituto de Salud Carlos Iii (isciii); España. Universitat Autònoma de Barcelona; España
Fil: Cervera Carles, Laura. Instituto de Salud Carlos Iii (isciii); España. Universitat Autònoma de Barcelona; España
Fil: Menéndez González, Manuel. Universidad de Oviedo; España
Fil: Frank García, Ana. Instituto de Salud Carlos Iii (isciii); España. Universidad Autónoma de Madrid; España. Instituto de Investigacion del Hospital de la Paz.; España. Hospital Universitario La Paz; España
Fil: Royo, Jose Luís. Universidad de Málaga; España
Fil: Moreno, Fermin. Instituto de Salud Carlos Iii (isciii); España. Hospital Universitario Donostia; España. Instituto Biodonostia; España
Fil: Huerto Vilas, Raquel. Hospital Universitari Santa Maria de Lleida; España. Institut de Recerca Biomedica de Lleida; España
Fil: Baquero, Miquel. Hospital Universitari i Politècnic La Fe; España
Fil: Dalmasso, Maria Carolina. Gobierno de la Provincia de la Pampa. Ministerio Publico. Laboratorio de Genetica Forense.; Argentina. Universitat zu Köln; Alemania. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Patagonia Confluencia; Argentina
description Genetic discoveries of Alzheimer’s disease are the drivers of our understanding, and together with polygenetic risk stratification can contribute towards planning of feasible and efficient preventive and curative clinical trials. We first perform a large genetic association study by merging all available case-control datasets and by-proxy study results (discovery n = 409,435 and validation size n = 58,190). Here, we add six variants associated with Alzheimer’s disease risk (near APP, CHRNE, PRKD3/NDUFAF7, PLCG2 and two exonic variants in the SHARPIN gene). Assessment of the polygenic risk score and stratifying by APOE reveal a 4 to 5.5 years difference in median age at onset of Alzheimer’s disease patients in APOE ɛ4 carriers. Because of this study, the underlying mechanisms of APP can be studied to refine the amyloid cascade and the polygenic risk score provides a tool to select individuals at high risk of Alzheimer’s disease.
publishDate 2021
dc.date.none.fl_str_mv 2021-06-07
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
http://purl.org/coar/resource_type/c_6501
info:ar-repo/semantics/articulo
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/11336/149959
de Rojas, Itziar; Moreno Grau, Sonia; Tesi, Niccolo; Grenier Boley, Benjamin; Andrade, Victor; et al.; Common variants in Alzheimer’s disease and risk stratification by polygenic risk scores; Springer; Nature Communications; 12; 1; 7-6-2021; 1-16
2041-1723
CONICET Digital
CONICET
url http://hdl.handle.net/11336/149959
identifier_str_mv de Rojas, Itziar; Moreno Grau, Sonia; Tesi, Niccolo; Grenier Boley, Benjamin; Andrade, Victor; et al.; Common variants in Alzheimer’s disease and risk stratification by polygenic risk scores; Springer; Nature Communications; 12; 1; 7-6-2021; 1-16
2041-1723
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/url/http://www.nature.com/articles/s41467-021-22491-8
info:eu-repo/semantics/altIdentifier/doi/10.1038/s41467-021-22491-8
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv Springer
publisher.none.fl_str_mv Springer
dc.source.none.fl_str_mv reponame:CONICET Digital (CONICET)
instname:Consejo Nacional de Investigaciones Científicas y Técnicas
reponame_str CONICET Digital (CONICET)
collection CONICET Digital (CONICET)
instname_str Consejo Nacional de Investigaciones Científicas y Técnicas
repository.name.fl_str_mv CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas
repository.mail.fl_str_mv dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar
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score 13.070432