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Multivariate GWAS of Alzheimer’s disease CSF biomarker profiles implies GRIN2D in synaptic functioning

BACKGROUND: Genome-wide association studies (GWAS) of Alzheimer’s disease (AD) have identified several risk loci, but many remain unknown. Cerebrospinal fluid (CSF) biomarkers may aid in gene discovery and we previously demonstrated that six CSF biomarkers (β-amyloid, total/phosphorylated tau, NfL,...

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Autores principales: Neumann, Alexander, Ohlei, Olena, Küçükali, Fahri, Bos, Isabelle J., Timsina, Jigyasha, Vos, Stephanie, Prokopenko, Dmitry, Tijms, Betty M., Andreasson, Ulf, Blennow, Kaj, Vandenberghe, Rik, Scheltens, Philip, Teunissen, Charlotte E., Engelborghs, Sebastiaan, Frisoni, Giovanni B., Blin, Oliver, Richardson, Jill C., Bordet, Régis, Lleó, Alberto, Alcolea, Daniel, Popp, Julius, Marsh, Thomas W., Gorijala, Priyanka, Clark, Christopher, Peyratout, Gwendoline, Martinez-Lage, Pablo, Tainta, Mikel, Dobson, Richard J. B., Legido-Quigley, Cristina, Van Broeckhoven, Christine, Tanzi, Rudolph E., ten Kate, Mara, Lill, Christina M., Barkhof, Frederik, Cruchaga, Carlos, Lovestone, Simon, Streffer, Johannes, Zetterberg, Henrik, Visser, Pieter Jelle, Sleegers, Kristel, Bertram, Lars
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10548686/
https://www.ncbi.nlm.nih.gov/pubmed/37794492
http://dx.doi.org/10.1186/s13073-023-01233-z
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author Neumann, Alexander
Ohlei, Olena
Küçükali, Fahri
Bos, Isabelle J.
Timsina, Jigyasha
Vos, Stephanie
Prokopenko, Dmitry
Tijms, Betty M.
Andreasson, Ulf
Blennow, Kaj
Vandenberghe, Rik
Scheltens, Philip
Teunissen, Charlotte E.
Engelborghs, Sebastiaan
Frisoni, Giovanni B.
Blin, Oliver
Richardson, Jill C.
Bordet, Régis
Lleó, Alberto
Alcolea, Daniel
Popp, Julius
Marsh, Thomas W.
Gorijala, Priyanka
Clark, Christopher
Peyratout, Gwendoline
Martinez-Lage, Pablo
Tainta, Mikel
Dobson, Richard J. B.
Legido-Quigley, Cristina
Van Broeckhoven, Christine
Tanzi, Rudolph E.
ten Kate, Mara
Lill, Christina M.
Barkhof, Frederik
Cruchaga, Carlos
Lovestone, Simon
Streffer, Johannes
Zetterberg, Henrik
Visser, Pieter Jelle
Sleegers, Kristel
Bertram, Lars
author_facet Neumann, Alexander
Ohlei, Olena
Küçükali, Fahri
Bos, Isabelle J.
Timsina, Jigyasha
Vos, Stephanie
Prokopenko, Dmitry
Tijms, Betty M.
Andreasson, Ulf
Blennow, Kaj
Vandenberghe, Rik
Scheltens, Philip
Teunissen, Charlotte E.
Engelborghs, Sebastiaan
Frisoni, Giovanni B.
Blin, Oliver
Richardson, Jill C.
Bordet, Régis
Lleó, Alberto
Alcolea, Daniel
Popp, Julius
Marsh, Thomas W.
Gorijala, Priyanka
Clark, Christopher
Peyratout, Gwendoline
Martinez-Lage, Pablo
Tainta, Mikel
Dobson, Richard J. B.
Legido-Quigley, Cristina
Van Broeckhoven, Christine
Tanzi, Rudolph E.
ten Kate, Mara
Lill, Christina M.
Barkhof, Frederik
Cruchaga, Carlos
Lovestone, Simon
Streffer, Johannes
Zetterberg, Henrik
Visser, Pieter Jelle
Sleegers, Kristel
Bertram, Lars
author_sort Neumann, Alexander
collection PubMed
description BACKGROUND: Genome-wide association studies (GWAS) of Alzheimer’s disease (AD) have identified several risk loci, but many remain unknown. Cerebrospinal fluid (CSF) biomarkers may aid in gene discovery and we previously demonstrated that six CSF biomarkers (β-amyloid, total/phosphorylated tau, NfL, YKL-40, and neurogranin) cluster into five principal components (PC), each representing statistically independent biological processes. Here, we aimed to (1) identify common genetic variants associated with these CSF profiles, (2) assess the role of associated variants in AD pathophysiology, and (3) explore potential sex differences. METHODS: We performed GWAS for each of the five biomarker PCs in two multi-center studies (EMIF-AD and ADNI). In total, 973 participants (n = 205 controls, n = 546 mild cognitive impairment, n = 222 AD) were analyzed for 7,433,949 common SNPs and 19,511 protein-coding genes. Structural equation models tested whether biomarker PCs mediate genetic risk effects on AD, and stratified and interaction models probed for sex-specific effects. RESULTS: Five loci showed genome-wide significant association with CSF profiles, two were novel (rs145791381 [inflammation] and GRIN2D [synaptic functioning]) and three were previously described (APOE, TMEM106B, and CHI3L1). Follow-up analyses of the two novel signals in independent datasets only supported the GRIN2D locus, which contains several functionally interesting candidate genes. Mediation tests indicated that variants in APOE are associated with AD status via processes related to amyloid and tau pathology, while markers in TMEM106B and CHI3L1 are associated with AD only via neuronal injury/inflammation. Additionally, seven loci showed sex-specific associations with AD biomarkers. CONCLUSIONS: These results suggest that pathway and sex-specific analyses can improve our understanding of AD genetics and may contribute to precision medicine. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13073-023-01233-z.
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spelling pubmed-105486862023-10-05 Multivariate GWAS of Alzheimer’s disease CSF biomarker profiles implies GRIN2D in synaptic functioning Neumann, Alexander Ohlei, Olena Küçükali, Fahri Bos, Isabelle J. Timsina, Jigyasha Vos, Stephanie Prokopenko, Dmitry Tijms, Betty M. Andreasson, Ulf Blennow, Kaj Vandenberghe, Rik Scheltens, Philip Teunissen, Charlotte E. Engelborghs, Sebastiaan Frisoni, Giovanni B. Blin, Oliver Richardson, Jill C. Bordet, Régis Lleó, Alberto Alcolea, Daniel Popp, Julius Marsh, Thomas W. Gorijala, Priyanka Clark, Christopher Peyratout, Gwendoline Martinez-Lage, Pablo Tainta, Mikel Dobson, Richard J. B. Legido-Quigley, Cristina Van Broeckhoven, Christine Tanzi, Rudolph E. ten Kate, Mara Lill, Christina M. Barkhof, Frederik Cruchaga, Carlos Lovestone, Simon Streffer, Johannes Zetterberg, Henrik Visser, Pieter Jelle Sleegers, Kristel Bertram, Lars Genome Med Research BACKGROUND: Genome-wide association studies (GWAS) of Alzheimer’s disease (AD) have identified several risk loci, but many remain unknown. Cerebrospinal fluid (CSF) biomarkers may aid in gene discovery and we previously demonstrated that six CSF biomarkers (β-amyloid, total/phosphorylated tau, NfL, YKL-40, and neurogranin) cluster into five principal components (PC), each representing statistically independent biological processes. Here, we aimed to (1) identify common genetic variants associated with these CSF profiles, (2) assess the role of associated variants in AD pathophysiology, and (3) explore potential sex differences. METHODS: We performed GWAS for each of the five biomarker PCs in two multi-center studies (EMIF-AD and ADNI). In total, 973 participants (n = 205 controls, n = 546 mild cognitive impairment, n = 222 AD) were analyzed for 7,433,949 common SNPs and 19,511 protein-coding genes. Structural equation models tested whether biomarker PCs mediate genetic risk effects on AD, and stratified and interaction models probed for sex-specific effects. RESULTS: Five loci showed genome-wide significant association with CSF profiles, two were novel (rs145791381 [inflammation] and GRIN2D [synaptic functioning]) and three were previously described (APOE, TMEM106B, and CHI3L1). Follow-up analyses of the two novel signals in independent datasets only supported the GRIN2D locus, which contains several functionally interesting candidate genes. Mediation tests indicated that variants in APOE are associated with AD status via processes related to amyloid and tau pathology, while markers in TMEM106B and CHI3L1 are associated with AD only via neuronal injury/inflammation. Additionally, seven loci showed sex-specific associations with AD biomarkers. CONCLUSIONS: These results suggest that pathway and sex-specific analyses can improve our understanding of AD genetics and may contribute to precision medicine. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13073-023-01233-z. BioMed Central 2023-10-04 /pmc/articles/PMC10548686/ /pubmed/37794492 http://dx.doi.org/10.1186/s13073-023-01233-z Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Neumann, Alexander
Ohlei, Olena
Küçükali, Fahri
Bos, Isabelle J.
Timsina, Jigyasha
Vos, Stephanie
Prokopenko, Dmitry
Tijms, Betty M.
Andreasson, Ulf
Blennow, Kaj
Vandenberghe, Rik
Scheltens, Philip
Teunissen, Charlotte E.
Engelborghs, Sebastiaan
Frisoni, Giovanni B.
Blin, Oliver
Richardson, Jill C.
Bordet, Régis
Lleó, Alberto
Alcolea, Daniel
Popp, Julius
Marsh, Thomas W.
Gorijala, Priyanka
Clark, Christopher
Peyratout, Gwendoline
Martinez-Lage, Pablo
Tainta, Mikel
Dobson, Richard J. B.
Legido-Quigley, Cristina
Van Broeckhoven, Christine
Tanzi, Rudolph E.
ten Kate, Mara
Lill, Christina M.
Barkhof, Frederik
Cruchaga, Carlos
Lovestone, Simon
Streffer, Johannes
Zetterberg, Henrik
Visser, Pieter Jelle
Sleegers, Kristel
Bertram, Lars
Multivariate GWAS of Alzheimer’s disease CSF biomarker profiles implies GRIN2D in synaptic functioning
title Multivariate GWAS of Alzheimer’s disease CSF biomarker profiles implies GRIN2D in synaptic functioning
title_full Multivariate GWAS of Alzheimer’s disease CSF biomarker profiles implies GRIN2D in synaptic functioning
title_fullStr Multivariate GWAS of Alzheimer’s disease CSF biomarker profiles implies GRIN2D in synaptic functioning
title_full_unstemmed Multivariate GWAS of Alzheimer’s disease CSF biomarker profiles implies GRIN2D in synaptic functioning
title_short Multivariate GWAS of Alzheimer’s disease CSF biomarker profiles implies GRIN2D in synaptic functioning
title_sort multivariate gwas of alzheimer’s disease csf biomarker profiles implies grin2d in synaptic functioning
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10548686/
https://www.ncbi.nlm.nih.gov/pubmed/37794492
http://dx.doi.org/10.1186/s13073-023-01233-z
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