17 Works
Additional file 5 of Genetically predicted telomere length and Alzheimer’s disease endophenotypes: a Mendelian randomization study
Blanca Rodríguez-Fernández, Natalia Vilor-Tejedor, Eider M. Arenaza-Urquijo, Gonzalo Sánchez-Benavides, Marc Suárez-Calvet, Grégory Operto, Carolina Minguillón, Karine Fauria, Gwendlyn Kollmorgen, Ivonne Suridjan, Manuel Castro de Moura, David Piñeyro, Manel Esteller, Kaj Blennow, Henrik Zetterberg, Immaculata De Vivo, José Luis Molinuevo, Arcadi Navarro, Juan Domingo Gispert, Aleix Sala-Vila & Marta Crous-Bou
Additional file 5: Supplementary Figure 1. Leave-one-out permutation analysis plot for AD signature among individuals at high genetic predisposition to AD obtained by leaving out the SNP indicated and repeating the Inverse-Variance Weighted method with the rest of the instrumental variables. Supplementary Figure 2. Leave-one-out permutation analysis plot for Aging signature among individuals at high genetic predisposition to AD, obtained by leaving out the SNP indicated and repeating the Inverse-Variance Weighted method with the rest...
Additional file 3 of Genetically predicted telomere length and Alzheimer’s disease endophenotypes: a Mendelian randomization study
Blanca Rodríguez-Fernández, Natalia Vilor-Tejedor, Eider M. Arenaza-Urquijo, Gonzalo Sánchez-Benavides, Marc Suárez-Calvet, Grégory Operto, Carolina Minguillón, Karine Fauria, Gwendlyn Kollmorgen, Ivonne Suridjan, Manuel Castro de Moura, David Piñeyro, Manel Esteller, Kaj Blennow, Henrik Zetterberg, Immaculata De Vivo, José Luis Molinuevo, Arcadi Navarro, Juan Domingo Gispert, Aleix Sala-Vila & Marta Crous-Bou
Additional file 3: Supplementary Table 1. Characteristics of the study participants with information for cognition outcomes. Mean and SD are shown for continuous variables. Supplementary Table 2. Characteristics of the study participants with information for neuroimaging outcomes. Mean and SD are shown for continuous variables. Supplementary Table 3. Characteristics of the study participants with information for CSF biomarkers. Mean and SD are shown for continuous variables.
Additional file 1 of Genetically predicted telomere length and Alzheimer’s disease endophenotypes: a Mendelian randomization study
Blanca Rodríguez-Fernández, Natalia Vilor-Tejedor, Eider M. Arenaza-Urquijo, Gonzalo Sánchez-Benavides, Marc Suárez-Calvet, Grégory Operto, Carolina Minguillón, Karine Fauria, Gwendlyn Kollmorgen, Ivonne Suridjan, Manuel Castro de Moura, David Piñeyro, Manel Esteller, Kaj Blennow, Henrik Zetterberg, Immaculata De Vivo, José Luis Molinuevo, Arcadi Navarro, Juan Domingo Gispert, Aleix Sala-Vila & Marta Crous-Bou
Additional file 1: Supplementary Table 1. Characteristics of Single Nucleotide Polymorphisms (SNPs) associated with longer telomere length. The effect allele refers to the allele that is associated with longer telomere length. Chromosomal position of the SNPs (genome assembly GRCh37 (hg19)) according to the public archive for genetic variation within and across different species developed and hosted by the National Center for Biotechnology Information (NCBI) in collaboration with the National Human Genome Research Institute (NHGRI) (dbSNP).
Additional file 2 of Genetically predicted telomere length and Alzheimer’s disease endophenotypes: a Mendelian randomization study
Blanca Rodríguez-Fernández, Natalia Vilor-Tejedor, Eider M. Arenaza-Urquijo, Gonzalo Sánchez-Benavides, Marc Suárez-Calvet, Grégory Operto, Carolina Minguillón, Karine Fauria, Gwendlyn Kollmorgen, Ivonne Suridjan, Manuel Castro de Moura, David Piñeyro, Manel Esteller, Kaj Blennow, Henrik Zetterberg, Immaculata De Vivo, José Luis Molinuevo, Arcadi Navarro, Juan Domingo Gispert, Aleix Sala-Vila & Marta Crous-Bou
Additional file 2: Supplementary Table 1. Linear regression estimates for cognition outcomes in the entire sample. All models are adjusted for covariates: age, sex, education, and APOE status. Supplementary Table 2. Linear regression estimates for neuroimaging outcomes (i.e., Alzheimer’s disease and aging signatures) outcome in the entire sample. All models are adjusted for covariates: age, sex, education, and APOE status. Supplementary Table 3. Linear regression estimates for CSF biomarkers outcomes in the entire sample. All...
Additional file 2 of Genetically predicted telomere length and Alzheimer’s disease endophenotypes: a Mendelian randomization study
Blanca Rodríguez-Fernández, Natalia Vilor-Tejedor, Eider M. Arenaza-Urquijo, Gonzalo Sánchez-Benavides, Marc Suárez-Calvet, Grégory Operto, Carolina Minguillón, Karine Fauria, Gwendlyn Kollmorgen, Ivonne Suridjan, Manuel Castro de Moura, David Piñeyro, Manel Esteller, Kaj Blennow, Henrik Zetterberg, Immaculata De Vivo, José Luis Molinuevo, Arcadi Navarro, Juan Domingo Gispert, Aleix Sala-Vila & Marta Crous-Bou
Additional file 2: Supplementary Table 1. Linear regression estimates for cognition outcomes in the entire sample. All models are adjusted for covariates: age, sex, education, and APOE status. Supplementary Table 2. Linear regression estimates for neuroimaging outcomes (i.e., Alzheimer’s disease and aging signatures) outcome in the entire sample. All models are adjusted for covariates: age, sex, education, and APOE status. Supplementary Table 3. Linear regression estimates for CSF biomarkers outcomes in the entire sample. All...
Additional file 4 of Genetically predicted telomere length and Alzheimer’s disease endophenotypes: a Mendelian randomization study
Blanca Rodríguez-Fernández, Natalia Vilor-Tejedor, Eider M. Arenaza-Urquijo, Gonzalo Sánchez-Benavides, Marc Suárez-Calvet, Grégory Operto, Carolina Minguillón, Karine Fauria, Gwendlyn Kollmorgen, Ivonne Suridjan, Manuel Castro de Moura, David Piñeyro, Manel Esteller, Kaj Blennow, Henrik Zetterberg, Immaculata De Vivo, José Luis Molinuevo, Arcadi Navarro, Juan Domingo Gispert, Aleix Sala-Vila & Marta Crous-Bou
Additional file 4: Supplementary Table 1. Results of the effect of genetically predicted longer telomere length on AD endophenotypes in the entire sample. Supplementary Table 2. Results of the effect of genetically predicted longer telomere length on AD endophenotypes among APOE-ɛ4 carriers. Supplementary Table 3. Results of the effect of genetically predicted longer telomere length on AD endophenotypes among APOE-ɛ4 non-carriers. Supplementary Table 4. Results of the effect of genetically predicted longer telomere length on...
An imaging flow cytometry dataset for profiling the immunological synapse of therapeutic antibodies
Katharina Essig, Sayedali Shetab Boushehri, Carsten Marr, Fabian Schmich & Elke Glasmacher
Therapeutic antibodies are widely used to treat severe diseases. Most of them alter immune cells and act within the immunological synapse, an essential cell-to-cell interaction to direct the humoral immune response. Although many antibody designs are generated and evaluated, a high-throughput tool for systematic antibody characterization and function prediction is lacking. Here, we generate the largest publicly available imaging flow cytometry (IFC) data set of the human immunological synapse containing over 2.8 million images. This...
Additional file 3 of Genetically predicted telomere length and Alzheimer’s disease endophenotypes: a Mendelian randomization study
Blanca Rodríguez-Fernández, Natalia Vilor-Tejedor, Eider M. Arenaza-Urquijo, Gonzalo Sánchez-Benavides, Marc Suárez-Calvet, Grégory Operto, Carolina Minguillón, Karine Fauria, Gwendlyn Kollmorgen, Ivonne Suridjan, Manuel Castro de Moura, David Piñeyro, Manel Esteller, Kaj Blennow, Henrik Zetterberg, Immaculata De Vivo, José Luis Molinuevo, Arcadi Navarro, Juan Domingo Gispert, Aleix Sala-Vila & Marta Crous-Bou
Additional file 3: Supplementary Table 1. Characteristics of the study participants with information for cognition outcomes. Mean and SD are shown for continuous variables. Supplementary Table 2. Characteristics of the study participants with information for neuroimaging outcomes. Mean and SD are shown for continuous variables. Supplementary Table 3. Characteristics of the study participants with information for CSF biomarkers. Mean and SD are shown for continuous variables.
Genetically predicted telomere length and Alzheimer’s disease endophenotypes: a Mendelian randomization study
Blanca Rodríguez-Fernández, Natalia Vilor-Tejedor, Eider M. Arenaza-Urquijo, Gonzalo Sánchez-Benavides, Marc Suárez-Calvet, Grégory Operto, Carolina Minguillón, Karine Fauria, Gwendlyn Kollmorgen, Ivonne Suridjan, Manuel Castro de Moura, David Piñeyro, Manel Esteller, Kaj Blennow, Henrik Zetterberg, Immaculata De Vivo, José Luis Molinuevo, Arcadi Navarro, Juan Domingo Gispert, Aleix Sala-Vila & Marta Crous-Bou
Abstract Telomere length (TL) is associated with biological aging, consequently influencing the risk of age-related diseases such as Alzheimer’s disease (AD). We aimed to evaluate the potential causal role of TL in AD endophenotypes (i.e., cognitive performance, N = 2233; brain age and AD-related signatures, N = 1134; and cerebrospinal fluid biomarkers (CSF) of AD and neurodegeneration, N = 304) through a Mendelian randomization (MR) analysis. Our analysis was conducted in the context of the...
Additional file 1 of Identifying clinically useful biomarkers in neurodegenerative disease through a collaborative approach: the NeuroToolKit
Sterling C. Johnson, Marc Suárez-Calvet, Ivonne Suridjan, Carolina Minguillón, Juan Domingo Gispert, Erin Jonaitis, Agata Michna, Margherita Carboni, Tobias Bittner, Christina Rabe, Gwendlyn Kollmorgen, Henrik Zetterberg & Kaj Blennow
Additional file 1. Supplementary methods, tables, and figures.
Identifying clinically useful biomarkers in neurodegenerative disease through a collaborative approach: the NeuroToolKit
Sterling C. Johnson, Marc Suárez-Calvet, Ivonne Suridjan, Carolina Minguillón, Juan Domingo Gispert, Erin Jonaitis, Agata Michna, Margherita Carboni, Tobias Bittner, Christina Rabe, Gwendlyn Kollmorgen, Henrik Zetterberg & Kaj Blennow
Abstract Background Alzheimer’s disease (AD) is a complex and heterogeneous disease, which requires reliable biomarkers for diagnosis and monitoring disease activity. Preanalytical protocol and technical variability associated with biomarker immunoassays makes comparability of biomarker data across multiple cohorts difficult. This study aimed to compare cerebrospinal fluid (CSF) biomarker results across independent cohorts, including participants spanning the AD continuum. Methods Measured on the NeuroToolKit (NTK) prototype panel of immunoassays, 12 CSF biomarkers were evaluated from three...
Additional file 1 of Identifying clinically useful biomarkers in neurodegenerative disease through a collaborative approach: the NeuroToolKit
Sterling C. Johnson, Marc Suárez-Calvet, Ivonne Suridjan, Carolina Minguillón, Juan Domingo Gispert, Erin Jonaitis, Agata Michna, Margherita Carboni, Tobias Bittner, Christina Rabe, Gwendlyn Kollmorgen, Henrik Zetterberg & Kaj Blennow
Additional file 1. Supplementary methods, tables, and figures.
Identifying clinically useful biomarkers in neurodegenerative disease through a collaborative approach: the NeuroToolKit
Sterling C. Johnson, Marc Suárez-Calvet, Ivonne Suridjan, Carolina Minguillón, Juan Domingo Gispert, Erin Jonaitis, Agata Michna, Margherita Carboni, Tobias Bittner, Christina Rabe, Gwendlyn Kollmorgen, Henrik Zetterberg & Kaj Blennow
Abstract Background Alzheimer’s disease (AD) is a complex and heterogeneous disease, which requires reliable biomarkers for diagnosis and monitoring disease activity. Preanalytical protocol and technical variability associated with biomarker immunoassays makes comparability of biomarker data across multiple cohorts difficult. This study aimed to compare cerebrospinal fluid (CSF) biomarker results across independent cohorts, including participants spanning the AD continuum. Methods Measured on the NeuroToolKit (NTK) prototype panel of immunoassays, 12 CSF biomarkers were evaluated from three...
Genetically predicted telomere length and Alzheimer’s disease endophenotypes: a Mendelian randomization study
Blanca Rodríguez-Fernández, Natalia Vilor-Tejedor, Eider M. Arenaza-Urquijo, Gonzalo Sánchez-Benavides, Marc Suárez-Calvet, Grégory Operto, Carolina Minguillón, Karine Fauria, Gwendlyn Kollmorgen, Ivonne Suridjan, Manuel Castro de Moura, David Piñeyro, Manel Esteller, Kaj Blennow, Henrik Zetterberg, Immaculata De Vivo, José Luis Molinuevo, Arcadi Navarro, Juan Domingo Gispert, Aleix Sala-Vila & Marta Crous-Bou
Abstract Telomere length (TL) is associated with biological aging, consequently influencing the risk of age-related diseases such as Alzheimer’s disease (AD). We aimed to evaluate the potential causal role of TL in AD endophenotypes (i.e., cognitive performance, N = 2233; brain age and AD-related signatures, N = 1134; and cerebrospinal fluid biomarkers (CSF) of AD and neurodegeneration, N = 304) through a Mendelian randomization (MR) analysis. Our analysis was conducted in the context of the...
Additional file 1 of Genetically predicted telomere length and Alzheimer’s disease endophenotypes: a Mendelian randomization study
Blanca Rodríguez-Fernández, Natalia Vilor-Tejedor, Eider M. Arenaza-Urquijo, Gonzalo Sánchez-Benavides, Marc Suárez-Calvet, Grégory Operto, Carolina Minguillón, Karine Fauria, Gwendlyn Kollmorgen, Ivonne Suridjan, Manuel Castro de Moura, David Piñeyro, Manel Esteller, Kaj Blennow, Henrik Zetterberg, Immaculata De Vivo, José Luis Molinuevo, Arcadi Navarro, Juan Domingo Gispert, Aleix Sala-Vila & Marta Crous-Bou
Additional file 1: Supplementary Table 1. Characteristics of Single Nucleotide Polymorphisms (SNPs) associated with longer telomere length. The effect allele refers to the allele that is associated with longer telomere length. Chromosomal position of the SNPs (genome assembly GRCh37 (hg19)) according to the public archive for genetic variation within and across different species developed and hosted by the National Center for Biotechnology Information (NCBI) in collaboration with the National Human Genome Research Institute (NHGRI) (dbSNP).
Additional file 4 of Genetically predicted telomere length and Alzheimer’s disease endophenotypes: a Mendelian randomization study
Blanca Rodríguez-Fernández, Natalia Vilor-Tejedor, Eider M. Arenaza-Urquijo, Gonzalo Sánchez-Benavides, Marc Suárez-Calvet, Grégory Operto, Carolina Minguillón, Karine Fauria, Gwendlyn Kollmorgen, Ivonne Suridjan, Manuel Castro de Moura, David Piñeyro, Manel Esteller, Kaj Blennow, Henrik Zetterberg, Immaculata De Vivo, José Luis Molinuevo, Arcadi Navarro, Juan Domingo Gispert, Aleix Sala-Vila & Marta Crous-Bou
Additional file 4: Supplementary Table 1. Results of the effect of genetically predicted longer telomere length on AD endophenotypes in the entire sample. Supplementary Table 2. Results of the effect of genetically predicted longer telomere length on AD endophenotypes among APOE-ɛ4 carriers. Supplementary Table 3. Results of the effect of genetically predicted longer telomere length on AD endophenotypes among APOE-ɛ4 non-carriers. Supplementary Table 4. Results of the effect of genetically predicted longer telomere length on...
Additional file 5 of Genetically predicted telomere length and Alzheimer’s disease endophenotypes: a Mendelian randomization study
Blanca Rodríguez-Fernández, Natalia Vilor-Tejedor, Eider M. Arenaza-Urquijo, Gonzalo Sánchez-Benavides, Marc Suárez-Calvet, Grégory Operto, Carolina Minguillón, Karine Fauria, Gwendlyn Kollmorgen, Ivonne Suridjan, Manuel Castro de Moura, David Piñeyro, Manel Esteller, Kaj Blennow, Henrik Zetterberg, Immaculata De Vivo, José Luis Molinuevo, Arcadi Navarro, Juan Domingo Gispert, Aleix Sala-Vila & Marta Crous-Bou
Additional file 5: Supplementary Figure 1. Leave-one-out permutation analysis plot for AD signature among individuals at high genetic predisposition to AD obtained by leaving out the SNP indicated and repeating the Inverse-Variance Weighted method with the rest of the instrumental variables. Supplementary Figure 2. Leave-one-out permutation analysis plot for Aging signature among individuals at high genetic predisposition to AD, obtained by leaving out the SNP indicated and repeating the Inverse-Variance Weighted method with the rest...
Affiliations
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Roche (Germany)17
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Roche (Switzerland)16
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Instituto de Salud Carlos III16
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Hong Kong University of Science and Technology16
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Centro de Investigación Biomédica en Red en Bioingeniería, Biomateriales y Nanomedicina16
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Pasqual Maragall Foundation16
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University of Gothenburg16
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University College London16
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Spanish National Centre for Cardiovascular Research16
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Hospital Del Mar16